Climate Change
and Employment in the European Union
by Christine Lottje
With financial assistance from the European Commission, DGXI
Brussels, May 1998
Table of Contents
1 Executive Summary
1.1 Overview of Available Studies on Climate Change and Employment in the European Union
2 Introduction
2.1 Climate Change, the Environment and Employment2.2 Background to the report
2.3 Note on terminology
3 Procedure
4 Case Studies
4.1 The Austrian Toronto Technology Program - The Economic Dynamics of Greenhouse Gas Reduction Targets (Austria)4.2 Main gain future: New employment opportunities through a sustainable transport system (Germany)
4.3 Elements of a Green Energy Plan which can Create Job Opportunities (Denmark)
4.4 Electricity without Nuclear Power - Boom or Doom for Jobs? (Germany)
4.5 Saving the Climate that’s my Job - Case Study: Netherlands
4.6 Major Energy Savings, Environmental and Employment Benefits by Double-Glazing and Advanced Double-Glazing Technologies (European Union)
4.7 30.000 New Jobs through Implementing the Austrian Biomass Program (Austria)
4.8 Energy for the Future: Renewable Sources of Energy - White Paper for a Community Strategy and Action Plan (Communication from the Commission, COM (97) 599 final) (European Union)
4.9 What are the Costs of a CO2 Reduction? (Germany)
4.10 Green Tax Reform - Part 6: A Reform package for the UK - 1997-2005 (United Kingdom)
4.11 A Fiscal Reform for Increasing Employment and Mitigating CO2 Emissions in Europe (Belgium, France, Germany, Italy, Netherlands, UK)
5 Analysis
5.1 Introduction
5.2 Quantitative Analysis5.2 Limitations of the data
6 Conclusions
6.1 Methodological recommendations6.2 Integration of employment concerns into environmental thinking
7 Further Work
8 Bibliography
9 Index of Terms
Annex 1: Further Studies
1 Improving the Environment and Promoting Employment in Denmark2 Sustainable Development in the Service of Employment (France)
3 Are there Double Dividends in Finland? - The Swedish Green Tax Commission - Simulations for Finland
4 Jobs for the Climate: The Employment Potential of Energy Efficiency Measures in the Housing Sector (Germany)
5 Saving the Climate That’s my Job - Literature Study: Germany (West-Germany)
6 Solar Jobs 2010 (Germany)
7 Direct and Indirect Job Creation from the Standard of Performance for Energy Efficiency Program (United Kingdom)
8 Less Traffic, More Jobs (United Kingdom)
9 New Power, New Jobs - Combined Heat and Power: The Impact on Employment (United Kingdom)
10 Rethinking the Costs Relating to Global Warming: a Survey of the Issues (Belgium, Denmark, France, Ireland, Italy, Portugal, United Kingdom, West-Germany)
11 The Potential for Employment Opportunities from Pursuing Sustainable Development (European Union)
Annex 2: Case Studies:
Job Creation in the Climate Change Mitigation SectorWISE Group (Glasgow, United Kingdom)
Heatwise Ldt. (Glasgow, United Kingdom)
Environmental Improvement Program - EIP (Berlin, Germany)
Environmental
issues today are more prominent than ever. Climate change
is one of the most pressing of these problems and there
is a strong need for different players in society to
act in the short term. This is even clearer with regard
to the Kyoto Protocol agreed in December 1997 and signed
by the EU in April 1998. The EU has agreed to reduce
its greenhouse gas emissions by 8% between 2008 and
2012, compared to the year 1990. After this reduction
target was shared out between the Member States in June
1998, the next move must be the implementation of policies
and measures designed to achieve these targets.
In
parallel, perhaps the most prominent political issue
of today is unemployment. Within the EU 10.2% of the
population, about 18 million people, are currently unemployed.
Tackling this problem was first declared a priority
at the Amsterdam Summit in June 1997 and has since been
confirmed as key several times.
The European
Commission began to bring these two issues together
in the Communication "Environment and Employment - Building
a Sustainable Europe", adopted directly before the Extraordinary
Summit on Employment in Luxembourg in November 1997.
However the environment has not yet been integrated
into the general political discussion on employment
even though it is increasingly recognized that there
are significant opportunities for job creation in the
environmental sector which have not yet been exploited.
From
a total of 22 studies dealing with climate change and
employment, those studies which directly relate CO2
reductions to job creation have been selected. This
report draws together these eleven case studies in an
attempt to show the implications of this research for
the employment potential of climate protection policies.
Each case study has been summarized and translated (where
necessary) and the results from this are listed in the
matrix attached to this chapter.
The most
obvious conclusion of the review is that climate protection
is beneficial for employment compared to the business
as usual scenarios. With one exception all of the studies
we have been provided with show this in their results.
Although some of the studies have been published by
groups supporting the development of a proactive climate
policy and are therefore likely to contain positive
results, it is interesting to note that this kind of
research has not been undertaken by the fossil fuel
or energy intensive industry who are normally the biggest
opponents to climate protection. The only example (1)
known which results in an overall negative employment
effect has not been published in a full version to-date.
Comparison
between the studies is difficult. Most of them look
at individual sectors or at interaction between sectors
related to climate change at a national level, and therefore
reflect country specific circumstances. Adding to this,
there is a great variety of models used with different
assumptions implicit in their methodologies. The studies
have used different levels of modelling which means
that some have only measured direct costs and benefits
whereas others have gone into much greater detail.
Despite
these uncertainties it was possible to estimate the
employment potential of a CO2 emissions reduction
of 15% until 2010, as compared to 1990 for the European
Union, at +1.9 million jobs.
The estimate was based on extrapolation from 8 studies
with a correlation coefficient of 0.86. Two taxation-only
studies were omitted from this analysis because pure
revenue recycling as opposed to broader investment packages
seemed to generate a bias in favour of job creation,
although this omission was essentially a subjective
decision. This estimate should be taken more as an indication
of a trend than as an exact prediction.
The
review has made it clear that even though climate change
mitigation is beneficial for employment this area is
far from being fully explored. On the methodological
side there is a clear lack of a common approach and
definition of terms which needs to be solved in order
to make future research more effective. But there is
also a need for better interaction between environmental
decision makers and economics decision makers who usually
influence the employment market most. Only then can
the full benefits of CO2 reduction and employment
creation in tandem be realized. Furthermore focusing
on the effects of existing programs (e.g. environmental
tax schemes) could provide a clearer ‘real life’ picture
of job creation priorities and opportunities.
1.1
Overview of Available Studies on Climate Change and
Employment in the European Union
| Measures | Time frame | Total
CO2 reduction (Mt)
(3) | Investment
(in ECU) (4) | Employ-ment | Jobs/Mt CO2 | Key assumptions underlying the study | Other benefits (economic and environmental) |
| Sector: General CO2 Reduction | |||||||
| Austria: The Toronto technology program, Austrian Council on Climate Change | |||||||
| Enhancement of: cogeneration; energy efficiency; transport; renewables | 1997-2005 | 70.2 Mt | prefinancing
of 824 million (103 m per year) | 12,200 (net) | 174 | Details on assumptions on economic and energy growth and energy efficiency improvement could not be obtained in time; no introduction of new technologies | additional private investment: over ECU14.4 bn; GDP: +1.2%; national demand: ECU3.46 bn; governmental budgets (net): ECU640.9 mn |
| Sector: Transport | |||||||
| Germany: Hauptgewinn Zukunft: New jobs through a sustainable transport system, Öko-Institute and Verkehrsclub Deutschland (VCD) | |||||||
| sustainable transport shift through car sharing; use of modern communication technologies; new technologies for passenger cars; increase taxes on transport fuels; speed limits | 1999-2010 | 328 Mt | 62.7 million (5.7 m per year) | 200,000 (net) | 610 | Baseline: GDP grows from 3.023-4.232 (1995-2010); transport growth +35% (1992-2010); population (2010): 83.8 million; no relevant introduction of new car technologies | reduction of SO2 and other emissions from transport; reduction of traffic noise; free space of 125km²; reduction of accidents; no effect on GDP |
| Sector: Energy Industry | |||||||
| Denmark: Elements of a green energy plan which can create job opportunities, Department of Development and Planning, Aalborg University | |||||||
| Enhancement of natural gas, district heating, combined heat and power (CHP), renewables; energy efficiency | 1996-2015 | 81.84 Mt | 12.28 bn (662 m per year) | 16,000 (net) | 195.5 | Baseline:
standard Western European economic growth assumed, energy
consumption stable Model: based on empirical data; no changes in consumer prices; | foreign exchange savings: between ECU79.4-185.3 mn; value of additional value apparatus: ECU 10.6 bn; reduction of SO2 and NOx; reduced nitrate pollution; reduction of flue dust and slag/cinder |
| Measures | Time frame | Total CO2 reduction (Mt) | Investment
(in ECU) | Employ-ment | Jobs/Mt CO2 | Key assumptions underlying the study | Other benefits (economic and environmental) |
| Germany: Electricity without nuclear power - boom or doom for jobs?, Progress Institut für Wirtschaftsforschung (PIW), Bremen | |||||||
| Phase-out of nuclear power until 2000; reduction of coal, enhancement of renewables | 1995-2010 | 1000 Mt | 210
bn (14 bn per year) | 121,000 (net) | 121 | Baseline:
rise in electricity production +36% (2010); no change
in policies; CO2 emissions +9% ( to 1993)
GP scenario: electricity production -20%; nuclear power plants are shut down when storage is full | no specific effects mentioned |
| Netherlands: Saving the climate, that’s my job - Case study Netherlands, Centre for Energy Conservation and Environmental Technology | |||||||
| Efficiency improvement of transport, industry, electric equipment, insulation, wind energy | 1995-2005 | 440 Mt | investment 2.5 bn per year | 71,000 (net) | 161 | Baseline:
GDP growth 1.5% per year; CO2 and energy
growth 1.3% per year; energy prices constant 1990 level;
Model: ICARUS database for static input-output model; no change in energy prices, import and export; new technologies as in ICARUS database; | saved energy costs amount to ECU7.71 bn per year; additional money for households: ECU4.03 bn; reduction of SO2 and NOx |
| Sector: Energy Efficiency (Domestic/Tertiary) | |||||||
| EU-15: Major energy savings, environmental and employment benefits by double-glazing and advanced double-glazing technologies, Karlsruhe Fachinformationszentrum (FIZ) and Comité Permanent des Industries du Verre de la Communauté Economique Européenne (CPIV) | |||||||
| Replacing single-or double-glazed windows through high performance double-glazed windows of 60% of European dwellings | 10 years | 940 Mt | 137 bn(13.4 bn per year) | 126,000 (net) | 134 | Assumptions on prices made on the basis on prices in 1995; payback between 7/8 and 24/36 years; interest rate of 8% for a dwelling with 35m² window area | space heating savings: ECU13 bn/ year; more light and solar gain in houses; improved sound insulation and use of floor space; property related benefits |
| Sector: Renewables (Electricity and Heat) | |||||||
| Austria: 30.000 new jobs through implementing the Austrian biomass program, Austrian Biomass Association | |||||||
| biomass:
higher taxes on fossil fuels; no taxes on renewables; lowering non wage labour costs | 1997-2005 | 20.18 Mt | 5-5.7 bn (625-713 m per year) | 30,000 (net) | 1,487 | Model assumes a static situation on the basis of 1995 ? data; | improved air quality; lower dependency on import of fossil fuels; new export chances; governments savings through less unemployed |
| Measures | Time frame | Total CO2 reduction (Mt) | Investment
(in ECU) | Employ-ment | Jobs/Mt CO2 | Key assumptions underlying the study | Other benefits (economic and environmental) |
| EU-15: Energy for the Future: Renewable sources of energy - White paper for a community strategy and action plan, Energy for Sustainable Development Ltd | |||||||
| enhancing the share of renewables to electricity production from 6 to 12% of EU primary energy demand | 1997-2010 | 1,749.94 Mt | 95 bn(7.3 bn per year) | 500,000
(net) | 286 | SAFIRE model (input-output) used; | avoided fuel costs of ECU21 bn; reduced imports 17.4% (ref. 1994) |
| Sector: Taxation | |||||||
| Germany: What are the costs of a CO2 reduction?, Institute for Empirical Economic Research, University of Osnabrück | |||||||
| CO2 tax; revenue recycled through lower employer’s social security payment | 1996-2005 | 1,290.12 Mt | overall
revenue in 2005: 112 bn (12.4 bn per year) | 1.5
million (net) | 1,163 | Baseline:
GDP growth +1.4% per year; private consumption +1.8%
per year; energy consumption +5.7% overall; CO2
emissions +2% over 1990; Model: Panta Rhei | GDP rises 1.1% per year; energy consumption decreases 19.3% (overall); better export chances of W-Germany |
| United Kingdom: Green tax reform, Cambridge Econometrics | |||||||
| industrial energy tax, transport taxes, landfill tax; revenue recycle: lowering employer’s National Insurance Contribution (NIC) | 1997-2005 | 12.665 Mt (in 2005) | overall
revenue in 2005: 33.4 bn (4.175bn per year) | 717,000 (net) | (56,613) | Baseline:
no data available Model: Cambridge E3 | reduction of SO2 emissions, waste disposal and landfill; no major effects on GDP, inflation, profits and balance of payments (in relation to model errors) |
| Same taxes as above; revenue recycle: lowering VAT, business rates and NIC | see above | see above | see above | 576,000 (net) | (45,480) | see above | see above |
| Measures | Time frame | Total CO2 reduction (Mt) | Investment
(in ECU) | Employ-ment | Jobs/Mt CO2 | Key assumptions underlying the study | Other benefits (economic and environmental) | |
| Belgium, France, Germany, Italy, Netherlands, UK: A fiscal reform for increasing employment and mitigating CO2 emissions in Europe, Ministry of Economic Affairs, Belgium | ||||||||
| 50% CO2, 50% energy tax; revenue recycle: employer’s social security contributions | 1995-2003
(8 years) | 597 Mt | overall
revenue: 62.3 bn (7.7875bn per year) | 696,900 (net) | 1,167 | Baseline:
assumption on GDP, private consumption, energy consumption
and prices (see description); Model: HERMES | Effect on GDP: +0.15% (overall); energy consumption: -3.5%; private consumption: +0.15%; mean energy prices: +16.3%; | |
Footnotes
1 Regionalwirtschaftliche
Wirkung von Steuern und Abgaben auf den Verbrauch von
Energie - das Beispiel NRW (1996). Rheinisch-Westfälisches
Institut für Wirtschaftsforschung (RWI).
2 The 15% CO2 reduction target forms part of the greenhouse gas reduction target of 8% agreed in Kyoto. We chose this figure in order to make it comparable to already existing work.
3 Calculation of the CO2 emission reductions for studies where only the percentage figure was given was made on the basis of data available from “1997 - Annual Energy Report” from the Directorate General for Energy (DG XVII)
4 Calculation from the different
currencies used in the studies to ECU (where necessary)
was made on the basis of the exchange rate of 10 April
1998 (Source Agence Europe)
The
aim of this report is to bring the issues of climate
change and employment together and to show that they
are not contradictory to each other. Instead it reveals
that the climate protection policies that have to be
introduced today can have a positive effect on the employment
market in the European Union.
2.1 Climate Change,
the Environment and Employment
In its
Second Assessment Report of 1995, the Intergovernmental
Panel on Climate Change (IPCC) (5)confirmed the human
fingerprint on the atmosphere as well as the dangers
of climate change to our planet. Science found the political
back-up in December 1997, when the Kyoto Protocol was
agreed upon by the negotiating Parties to the UN Framework
Convention on Climate Change (UNFCCC). The Protocol
set greenhouse gas (GHG) reduction targets for industrialised
countries, on average a 5.2% reduction between 2008-2012,
for six GHGs. For the European Union a reduction target
of 8% has been agreed which the EU confirmed by signing
the Kyoto Protocol in April 1998. At the Environment
Council in June 1998, the EU furthermore shared up the
8% between the Member States, opening the way for implementing
the Protocol.
In
the run-up to Kyoto, the EU played a leading role by
pushing for a reduction target of 15% by 2010, which
was more ambitious than proposals of other industrialised
countries. This target was backed up by detailed research
done by the European Commission on policies and measures
available to achieve it as well as showing the cost
effectiveness of these measures.
There
are many options available to countries to reduce greenhouse
gas emissions. In this study we concentrate on options
to reduce CO2 emissions as CO2
is the main greenhouse gas (GHG), making up 83% of all
GHG emissions in the EU. And most of the detailed work
has been done on CO2.
While
climate change is an extremely important environmental
issue, unemployment is at the top of the political agenda
With 18 million unemployed (10.2%) people in April 1998,
unemployment is one of the most urgent problems that
the EU faces. At the Amsterdam Summit in Summer 1997
employment was declared to be one of the top issues
of the EU, to be integrated into other policy areas.
This statement was confirmed both at the EU Extraordinary
Summit on Employment in Luxembourg (November 1997) and
the Cardiff Summit of the Heads of States in June 1998.
One
of the results of the Luxembourg Summit was that member
countries committed themselves to present national plans
every year on how governments plan to combat unemployment
in their countries. The first set of these was submitted
to the European Commission in April 1998. Despite the
fact that the Commission published the Communication
"Environment and Employment - Building a sustainable
Europe" shortly before the Luxembourg Summit, the guidelines
for the national plans on combating unemployment made
no reference, until today, to environmental aspects.
This failure to integrate the environmental aspect into social policies reflects the usual approach to these two problems, which is shaped by the out-dated opinion that they are contradictory. However, more and more people recognise today that this is not necessarily the case. In the face of the "jobless growth" that many EU economies are experiencing at the moment - meaning the growth of economic activity without the according increase in employment - it is even more unlikely that old-fashioned concepts will be able to cope with today’s situation. The facts show that new concepts and approaches are needed in order to react to the complex problems of today.
We hope that this report will facilitate a new look at climate change measures and employment, helping to accelerate the implementation of the
climate
related policies and measures that will benefit the
environment and create jobs.
2.2 Background
to the report
In this report we explore the idea that measures to protect the environment (in this case climate protection measures) are not damaging to the economy, but are actually creating employment and possibly promoting sustainable economic growth when implemented in a coherent way.
Reasons for Concept
There are several reasons why climate protection is beneficial for employment:
When
looking at the idea that climate protection is beneficial
for employment there are different aspects to be taken
into account as they could lead to serious problems
preventing the programmes to be successful.
2.3 Note on terminology
Most of the terms and expressions used in this report are commonly known. There are however some expressions which deserve an explicit clarification because it is important to be clear about their definition in order to understand the review and the analysis attached to it.
Gross and net employment
In terms of the
employment effects there is a distinction between different
effects. There is on the one hand the "gross" employment.
In this report it has been used with the definition
that it calculates the employment created in each of
the different sectors of economy. On the other hand
there is the "net" employment which is the overall figure
calculating all the gross effects occurring in the sectors
affected by the study. On a large-scale the net employment
calculates all gross effects including direct, indirect
and multiplier effects of the national economy.
Direct, indirect and multiplier effect
Furthermore
there are different types of employment effects. First
of all there are "direct" employment effects which are
the jobs created or lost in industries directly affected
by climate measures. "Indirect" employment effects refer
to industries such as supplier industries. Most of the
studies up to now have only calculated these two effects
as they are easiest to model. On a third level there
is the "multiplier" or "respending" effect which today
is very hard to model in quantitative terms, and therefore
isn't reflected in the studies with a common definition.
The multiplier effect refers to the fact that by reducing
unemployment more money is circulated in the economy.
Part of this is the reduced unemployment costs of governments
or the additional money available to people that have
been unemployed before. This additional money creates
a higher activity and therefore has its effects on the
whole of the economy and employment.
We hope
that you may find this work useful and would welcome
your comments and especially any additional information
on studies not mentioned in this collection. Please
send these to:
Climate Network Europe
44 Rue du Taciturne
1000 Brussels
Belgium
Tel (32 2) 231 0180
Fax (32 2) 230 5713
Footnotes
5
The IPCC is an international group of over 2000 government
appointed scientists.
6 Communication “Climate Change - The EU Approach for Kyoto” (COM(97)481 final), October 1997
7 EUROSTAT Press
Release of 16th June 1998
The
report is based on a literature study Climate Network
Europe (CNE) has been doing since September 1997. For
this report we assessed those studies that contained
the appropriate sets of data for comparative analysis.
The areas we put emphasis on was data on CO2
reduction, level of investment and employment created.
This led to the selection of 11 suitable studies. The
next step was to summarize the key details of the studies,
which usually included further investigative work in
order to collate more background details. We have focused
on the following areas:
We have also undertaken a quantitative assessment of the CO2 and jobs data. We have omitted quantitative analysis of the direct investment data because of a evident lack of transparency and comparability between the studies on this figure, which is discussed more thoroughly in the Analysis.
For each project the annual savings in CO2 for each year of the project (relative to business as usual) were added together to give a figure for the total ‘CO2 reduction’ over the lifetime of the project. This was necessary because using a reduction figure for a single year of a project takes no account of the possibility that CO2 savings may change from year to year during a project.
For example, a 10 year project which reduces C02 by 100T per annum every year relative to "business as usual" saves 1000T in total, whereas a project which saves no C02 in the first 5 years and 150T per annum in the last five years only saves 750T in total. It is therefore important to consider the reductions over the whole project lifetime, rather than just the final year, or indeed years for which data is available.
For some projects we do not have data on annual CO2 savings for each year of the project lifetime. For years where data was not available we have extrapolated linearly between the years for which we do have data. For example, with a 10 year programme where case study data indicates reductions of 100 tonnes/annum in year ten we assume reductions of 10 tonnes/annum in year 1, 20 in year two and so on.
‘Jobs created’ data was taken as net jobs created by the project given in the individual studies. There are some major issues concerned with the relevance of this data which are considered more fully in the Analysis (Section 5). A correlation was calculated between the jobs created and the CO2 reduction and a linear regression used to generate a best-fit line relating jobs created to tons of CO2. We then used this regression to estimate the number of jobs that might be associated with the EU reaching the target of a 15% reduction in annual CO2 emissions (relative to 1990) in the year 2010. In order to do this we calculated the total reductions in CO2 achieved between 1990 and 2010, on the assumption that the Community reduced emissions in a linear fashion between 1990 and 2010. According to the Commission Communication ‘The EU Approach for Kyoto’ reaching the 15% target in 2010 means a reduction in emissions of 800 million tonnes/annum CO2 relative to 1990. We therefore assumed that emissions abated in 1990 are 0 tonnes, in 1991 40 million tonnes, in 1992 80 million tonnes, and so on, until the target of 800 million tonnes below 1990 levels is reached in 2010.
Total jobs created was
then generated by extrapolating the best-fit line from
the case study correlation to the cumulative reduction
in CO2 over the years 1990-2010 (which was 8400 million
tonnes).
List of Case Studies
4.1 The Austrian Toronto Technology Program - The Economic Dynamics of Greenhouse Gas Reduction Targets (Austria)
4.2 Main gain future: New employment opportunities through a sustainable transport system (Germany)
4.3 Elements of a Green Energy Plan which can Create Job Opportunities (Denmark)
4.4 Electricity without Nuclear Power - Boom or Doom for Jobs? (Germany)
4.5 Saving the Climate that’s my Job - Case Study: Netherlands
4.6 Major Energy Savings, Environmental and Employment Benefits by Double-Glazing and Advanced Double-Glazing Technologies (European Union)
4.7 30.000 New Jobs through Implementing the Austrian Biomass Program (Austria)
4.8 Energy for the Future: Renewable Sources of Energy - White Paper for a Community Strategy and Action Plan (Communication from the Commission, COM (97) 599 final) (European Union)
4.9 What are the Costs of a CO2 Reduction? (Germany)
4.10 Green Tax Reform - Part 6: A Reform package for the UK - 1997-2005 (United Kingdom)
4.11
A Fiscal Reform for Increasing Employment and Mitigating
CO2 Emissions in Europe (Belgium, France,
Germany, Italy, Netherlands, UK)
(Das
österreichische Toronto-Technologie-programm -
Die wirtschaftliche Dynamik von Treibhausgas-Reduktionszielen)
1997
Published and carried out by the Austrian Council on Climate Change
Intention
Macroeconomic computer model developed
for the Austrian economy.
The concept of the model starts with defining the amount of the 5 factors determining the final economic demand (among others private and public consumption, export). Investment is desegregated into five categories and modelled for each category. In a second step the sum of the final demand is fed into a sector model through which then the effect on demand for certain goods is calculated.
Assumptions:
The program aims at reaching the Toronto target; this means a 25% reduction of CO2 emissions until 2005 (compared to 1988).
Measures proposed are:
Effects on employment
net job
creation in 2005: 12,200 or 5% of unemployed
Other benefits
additional spending: -S0.62 billion
(reduced spending)
Prof.
S. Schleicher, Austrian Council on Climate Change, c/o
University of Graz, Universitätstr. 15/F4, 8010
Graz, Austria, Tel +43 316 380 3440, Fax +43 316 380
3440, Email sts@wsr.ac.at
Published by Öko-Institut and Verkehrsclub Deutschland (VCD)
Carried out by the Öko-Institut
Intention
MOBIMOD, a model developed by the Öko-Institut.
Employment effects are calculated with a static input-output model based on 58 sectors.
This model considers the direct employment effects as well as the indirect employment effects, which are induced by the demand of products that are necessary for the production of products and services for the final demand. Changes in labor productivity are not calculated within the model but in an additional approach.
Assumptions:
for TREND and MOVE scenario:
TREND Scenario (baseline) assumes a continuation of current transport policies. Among them are the following:
The overall amount of journeys undertaken
and "activities" are not changed in comparison to the
TREND scenario. The overall amount of passenger kilometres
is reduced at a range of 4.2% in 2010 as compared to
the TREND scenario.
The usage of transport modes changes as below (in comparison to the TREND scenario):
Additional
revenues from taxes amount to DM 25.062 million per
year. From these there has to be deducted the amount
of expenditure for public transport and for investments
into new infrastructure due to the intermodal shift.
These are at the range of DM 11.212 million per year.
The remaining DM 13.851 million are redistributed to
private households and therefore compensate them for
the additional tax burden. Due to reduced imports (especially
cars, gas etc.) the domestic economy experiences an
increase in demand of DM 6.808 million per year.
CO2 emissions will be reduced
at a rate of 31% below the TREND scenario, or 24% below
current emission levels. In figures this is a reduction
of 50 Mt below the TREND scenario and a 30 Mt reduction
below the 1995 level.
Effect
on Employment
Net average employment
(1990-2010):
| new employment created |
337,000 |
| employment lost |
-130,000 |
| net employment effect |
207,000 |
Sectoral
employment effects:
| Sector |
|
| car production |
-74,000 |
| construction |
35,000 |
| wholesale and retail |
-22,000 |
| services of railways |
122,000 |
| services of other transport |
99,000 |
| insurance (excluding social security) |
-20,000 |
| other
services (hotel, restaurant, science, consulting,
architecture etc.) |
48,000 |
| other sectors (negative) |
-14,000 |
| other sectors (positive) |
33,000 |
Other benefits
Anke Herold, Öko-Institut, Binzengrün 34a,
79114 Freiburg, Germany, Tel +49 761 45295-28, Fax +49
761 475437, Email herold@freiburg.oeko.de
March
1996
Published by General Workers Union in Denmark (SiD)
Carried out by the
Department of Development and Planning, Aalborg University
Intention
The effect on employment and import has been calculated for each technology on the basis of data gathered for the research project "The Employment Effects of Danish Energy Policies".
Assumptions:
The study is designed for Denmark to reach a CO2 reduction of 20% by 2005 and 34% by 2015 compared to 1988 levels.
Measures proposed are:
Effects on employment
| Sector | Employment effect by 2005 |
| Conversion from electrical heating |
400 |
| Additional insulation |
2,700 |
| Change to natural gas district heating |
1,800 |
| More decentral cogeneration plants |
1,500 |
| Biogas and straw gasification plants |
1,200 |
| Wind generators |
800 |
| Fewer central power generating stations |
-600 |
| Power saving |
2,600 |
| Operation and maintenance |
3,100 |
| Fuels |
-500 |
| Total employment effect |
13,000 |
Until
the year 2015 employment rises steadily to approximately
16,000 jobs (additional to the baseline).
Other benefits
General
Workers Union in Denmark (SiD), Kampmannsgade 4, P.O.
Box 392, DK-1790 Copenhagen, Denmark, Tel +45 33 14
21 40, Fax +45 33 97 24 60
4.4 Electricity without Nuclear Power - Boom or Doom for Jobs? (Germany)
October 1994
Published by Greenpeace Germany
Carried out by the Progress Institut
für Wirtschaftsforschung (PIW) in Bremen, Germany
Intention
One basis for this study is the study "What does
nuclear phase-out cost" by the Öko-Institute for
Greenpeace in 1994. The calculations for costs attached
to the nuclear phase-out are taken from this study.
The calculation of the employment
effects is done by using an input-output table. The
table is based on economic structures as of 1990 and
this stays on a constant level. It differentiates 17
sectors. The multiplier effect is calculated with a
factor of 1.9 for job gains (this means that for each
DM100 that an employee earns more the economy experiences
a further increase of income at a rate of DM90).
Job losses are also taken into account
including job losses (indirect and respending) at a
factor of over 2 (this means that for each direct job
lost another job is lost in the economy).
Assumptions:
trend scenario (2010): 716 TWh (+36%)
GP scenario (2010): 422 TWh (-20%)
The study refers to the scenario
of a nuclear phase-out until the year 2000 and a restructuring
of the energy industry in order to achieve a more sustainable
energy supply. Apart from the nuclear industry the sectors
included in the scenario are:
The overall investment required for the Greenpeace scenario is in the order of 416 billion DM over the time period of 1992-2010. This is 38.1 billion below the investment required for the trend scenario. This difference increases even more if the costs of a nuclear disaster are taken into account.
Overall the trend
scenario emits 6,800Mt of CO2 until the year
2010 whereas the totalCO2 emissions in the
GP scenario amount to only 5,800Mt until 2010.
Effect on Employment
The calculations
below are the employment changes from the trend scenario
and take into account direct, indirect and multiplier
effects. This means that sectoral employment development
can be very different from the overall figure given
below, e.g. job losses in the coal industry can be much
higher. But as there are also job losses projected for
the trend scenario the figures below only represent
additional job losses caused by the measures
undertaken in the Greenpeace scenario.
| Measures/effects |
Employment |
| direct and indirect employment effect resulting from a production impulse through restructuring the power station network |
15,000 |
| purchasing power impulses resulting from restructuring power station network |
17,000 |
| increased private household demand for consumer goods through savings in electricity consumption |
79,000 |
| investment-induced effects on account of savings in electricity consumption by industries and businesses and self-financed measures to encourage restructuring |
59,000 |
| Taking nuclear power plants out of operation |
-6,000 |
| Reduction of energy from brown coal |
-10,000 |
| Reduction of energy from hard coal |
-33,000 |
| Net employment effect |
121,000 |
Other benefits
Contact address:
Greenpeace
Germany, Große Elbstr. 39, 22767 Hamburg, Germany
Tel +49 40 30618-222, Fax 49 40 306 18-211, Email mail@greenpeace.de
4.5 Saving the Climate that’s my Job - Case Study: Netherlands
March 1995
Carried out by the Centre for Energy Conservation
and Environmental Technology, Marc D. Davidson and Gerrit
de Wit
Intention
Input/output model using the ICARUS database for the calculation of the energy saving potentials for different economic sectors and the attached CO2 reductions. The employment effects are calculated on the basis of the table from the "Statistics Netherlands" for the Dutch economy in 1991.
Assumptions:
Baseline scenario:
The study wants to achieve the Toronto target (a 20% CO2 reduction until 2005, compared to 1990). This implies a reduction of 80 Mt of CO2 compared to the baseline scenario. The study focuses solely on energy efficiency improvement. The rate of improvement lies at 4% per year between 1994-2005.
Specific measures introduced are:
Effects
on employment
Potential
employment effects in 2005:
|
direct |
indirect |
total | |
| investment in energy efficiency measures |
17,000 |
21,000 |
38,000 |
| lower turnover of energy sector |
-17,000 |
-27,000 |
-44,000 |
| respending saved money |
40,000 |
38,000 |
77,000 |
| Total |
39,000 |
32,000 |
71,000 |
This employment
rate is also expected to be stabilized on this level
after 2005.
Other benefits
Contact
address:
Marc
Davidson, Centre for Energy Conservation and Environmental
Technology, Oude Delft 180, 2611 HH Delft, The Netherlands,
Tel +31 15 215 0150, Fax +31 15 215 0151, Email ce@antenna.nl
4.6 Major Energy Savings, Environmental and Employment Benefits by Double-Glazing and Advanced Double-Glazing Technologies (European Union)
December
1995
Published by DG XVII (Energy)
of the European Commission.
Carried out by
the Fachinformationszentrum Karlsruhe (FIZ) and the
Comité Permanent des Industries du Verre de la
Communauté Economique Européenne (CPIV).
Intention
The
model uses a standardized computer model allowing a
precise evaluation of energy consumption. It is based
on data collected by the glass industries in the EU
countries.
For the economic analysis it makes different calculation steps. First of all it calculates four types of dwellings:
For the employment effects the study only
calculates the direct employment effects for installation
and assumes that it takes 4 man days to replace the
windows in a typical dwelling. Employment effects calculated
are based on the assumption that the working force of
the insulating industry is needed for current rates
of installation and therefore new capacities are created.
Assumptions:
-for warmer countries: 24 and 36 years
The study only calculates the benefits through energy savings and doesn’t take account of other benefits. Energy savings are calculated for the energy saving potentials per m² window and the fuel which the results are calculated for is oil.
Overall investments required amounts to 137 billion ECUs (1995). Savings in unemployment payment in these 8 countries would amount to around 11 billion ECU.
CO2
reductions are in the order of 94 million tons per year,
representing 3.2% of total CO2 emissions
of the EU.
Effect on Employment
| Country |
|
| Belgium |
|
| France |
|
| Germany (West) |
|
| Italy |
|
| Netherlands |
|
| Spain |
|
| United Kingdom |
|
| Total |
|
| For EU-15 |
|
Other benefits
Contact
address:
Groupement Européenne des Producteurs
de Verre Plat, 89 Avenue Louise, 1050 Brussels, Belgium,
Tel +32 2 538.4377, Fax +32 2 537.8469
4.7 30.000 New Jobs through Implementing the Austrian Biomass Program (Austria)
(30.000
neue Arbeitsplätze - Das Österreichische Biomasseprogramm)
July 1997
Published and carried
out by the Austrian Biomass Association
Intention
not specified
Assumptions:
The study calculates measures for the following emission reduction target:
- 0.1 Schilling per litre per year on heavier heating oil ("Heizöl schwer und mittel")
- 0.3 Sch. per m3 per year on natural gas
- 0.2 Sch. per kg per year on coal
- ruling out the tax freedom
for coal and natural gas when they are used for the
production of electricity. Instead the tax burden on
fossil fuels could be reduced to 1/3 of the proposed
tax rate if they are used in electricity companies that
use
at least 10% of the primary energy consumption to produce electricity.
Effects
on employment
| Measures |
|
| Jobs created in production and supply of biomass |
18,000 |
| Jobs created in small enterprises and industry (through primary and secondary effects) |
12,000 |
| Jobs created through new chances for export of newly developed technologies |
3,000 |
| Jobs lost in the traditional sectors of energy production (coal, gas etc.) |
-3,000 |
| Net job creation |
30,000 |
Other
benefits
Austrian Biomass Association, Franz Josefs-Kai 13,
1010 Vienna, Austria, Tel +43 1 533 0797, Fax +43 1
533 0790, Email forum@netway.at
4.8 Energy for the Future: Renewable Sources of Energy - White Paper for a Community Strategy and Action Plan (Communication from the Commission, COM (97) 599 final) (European Union)
November 1997
Published by the European
Commission
Intention
SAFIRE market penetration model which is an input-output model. Induced effects (e.g. respending of labour) are not taken into account by the model.
Results taken from The European Renewable Energy Study (TERES II) study, carried out by Energy for Sustainable Development Ldt. (ESD) for the ALTENER program.
Measures
The share of renewable energy contribution to the primary energy demand shall be doubled, from 6 to 12% until 2010. This can reduce European CO2 emissions by 250 million tons per year by 2010.
This requires a total capital investment of 95 billion ECU from 1997-2010. The saving in fuel costs is expected to be 3 billion ECU/year and an overall saving of 21 billion ECUs.
Effects on Employment
Ian McChesney, ESD, Overmoor Farm, Nestom,
Corsham, Wiltshire SN13 9TZ, United Kingdom, Tel +44
1225 812102, Fax +44 1225 812103, Email esd@esd.co.uk
4.9 What are the Costs of a CO2 Reduction? (Germany)
(Was kosted eine Reduktion der CO2-Emissionen?) February 1997
Carried out by the Institute for Empirical Economic
Research, University of Osnabrück
Intention
Model used is PANTA
RHEI, a bottom-up and environmental economic model.
The model distinguishes 29 fuels, divides the economy
into 58 production sectors and uses around 250 variables
for each sector. This leads to about 30,000 calculations
happening in the modeling process.
Assumptions:
Baseline:
-GDP rises at an average rate of 1.4% year
-energy consumption rises 5.7% over 1990 levels (until 2005)
-CO2 emissions rise 2% over 1990 (by 2010)
-Private consumption rises 1.8% per year
Tax scenario:
-Tax of 10 DM/tCO2 in 1996; rises to 420 DM/tCO2 in 2005
Companies shift their burden entirely on their prices
additional imports of electricity are
prohibited
Measures
The study is designed to reach a CO2 reduction of 25% by the year 2005, compared to 1990 levels.
Effects on employment
Overall GDP is reduced by 2.8% (in 2005 as compared to the business-as-usual scenario). Nevertheless it will still be increasing by about 1.1% per year.
Net job creation: 1.5 million (+5.8%)
Working hours
per sector (from selected sectors of economy):
| Sector |
in
million |
|
| mineral oil processing industry |
-6.1 |
-36.5 |
| coal mining industry |
-34.6 |
-23.4 |
| iron processing industry |
-27.8 |
-15.7 |
| chemical industry |
-60.5 |
-6.9 |
| food production |
+114.2 |
+10.0 |
| construction sector |
+342.3 |
+20.2 |
| conversion construction sector |
+243.1 |
+21.7 |
Other benefits
Prof.
Dr. Bernd Meyer, University of Osnabrück, Rolandstr.
8, 49069 Osnabrück, Germany, Tel +49 541 969-2767,
Email meyer@oec.uni-osnabrueck.de
4.10 Green Tax Reform - Part 6: A Reform package for the UK - 1997-2005 (United Kingdom)
1997
Published by the Institute for Public Policy Research - IPPR
Carried out by Cambridge Econometrics
Intention
The Cambridge Multisectoral Dynamic E3 model, a large-scale
integrated model of the UK economy and its regions.
It includes interactions of energy, environment and
economy. Among these the energy submodel enables the
analysis of the impact of an energy tax on the fuel
composition of the economy.
The structure of the
model is comparatively simple containing about 26 equations
for energy and economy variables. It calculates variables
for 49 industries, 38 investment sectors, 10 fuels,
10 types of air emissions and 12 regions.
Measures
The study models a package of taxes combined with two scenarios to preserve the fiscal neutrality:
Scenarios to recycle the revenue:
a) the economist's package:
Effects
on employment
a)
Economist's package:
Net
employment effect:
| Year |
Employment |
| 2000 |
252,000 |
| 2005 |
717,000
(or 2.56% from the baseline) |
The unemployment
rate falls by 300,000 because not all of the newly employed
people have been registered as unemployed.
b)
Politician's package:
Net employment
effects:
| Year |
Employment |
| 2000 |
206,000 |
| 2005 |
576,000
(or a 2.06% from the baseline) |
Gross
employment effects in 2005:
| Sector |
Employment |
| Agriculture |
8,600 |
| Manufacturing |
112,200 |
| Utilities |
6,700 |
| Construction |
40,600 |
| Distribution, hotels |
68,000 |
| Transport and communication |
17,700 |
| Other market services |
119,600 |
| Non-market services |
203,000 |
| Total |
576,000 |
Type
of employment:
| Type |
Employment |
| Full-time |
325,700 |
| Part-time |
177,000 |
| Self-employed |
73,300 |
Other benefits
Chris
Hewett, Institute for Public Policy Research, 30-32
Southampton Street, London WC2E 7RA, Tel +44 171 470
6100, Fax +44 171 470 6111, Email ippr@easynet.co.uk
4.11 A Fiscal Reform for Increasing Employment and Mitigating CO2 Emissions in Europe (Belgium, France, Germany, Italy, Netherlands, UK)
1995
Carried out by Francis Bossier and Thierry Bréchet,
Federal Planning Office, Ministry of Economic Affairs,
Belgium
Intention
The HERMES model was used which distinguishes energy,
capital, labour and other intermediate inputs as production
factors, for eight different production sectors.
Assumptions:
| B | F | G | I | N | UK | |
| GDP | 2.0 | 2.5 | 2.4 | 2.5 | 2.5 | 2.5 |
| CO2 emissions | 0.8 | 0.6 | 1.0 | 1.2 | 1.0 | 1.4 |
| Private consumption | 1.9 | 2.3 | 2.2 | 2.2 | 1.4 | 2.7 |
| Energy consumption | 1.3 | 1.0 | 1.6 | 1.9 | 1.6 | 2.3 |
| Energy prices | 1.5 | 1.5 | 2.1 | 3.7 | 1.8 | 2.5 |
B=Belgium,
F=France, G=Germany, I=Italy, N=Netherlands, UK=United
Kingdom
Measures
Implementation of a combined CO2/energy tax:
CO2
emissions are reduced by 4.4% compared to the baseline
scenario. Mean energy prices rise to +16.3% over the
baseline (in 2003).
Effects on employment
After 8 years of
the tax:
| Country |
Energy |
| ||
|
|
|
| ||
| Belgium |
-400 |
2,700 |
1,600 |
5,600 |
| France |
-600 |
11,200 |
9,000 |
20,600 |
| Germany |
-700 |
20,100 |
31,900 |
18,900 |
| Italy |
0 |
5,700 |
8,500 |
10,200 |
| Netherlands |
-400 |
800 |
200 |
2,100 |
| United Kingdom |
700 |
11,700 |
44,500 |
12,900 |
|
|
Transport |
Services |
Total |
| 2,100 |
4,700 |
15,900 |
32,500 |
| 10,200 |
5,100 |
43,400 |
98,800 |
| 48,100 |
26,200 |
76,400 |
234,700 |
| 8,300 |
17,700 |
90,900 |
165,600 |
| 2,400 |
2,200 |
7,900 |
15,200 |
| 9,200 |
21,100 |
43,300 |
150,100 |
Other benefits
F.
Bossier, T. Bréchet, Federal Planning Office,
Ministry of Economic Affairs, Avenue des Arts, 47/49,
B-1040 Brussels, Belgium, Tel +32 2 507.7311, Fax +32
2 507.7373
5.1 Introduction
As a first general remark the most obvious feature of the results is that all the studies suggest that climate protection policies and measures will provide net job benefits - none of the examples considered in detail by this study suggest that climate measures will result in a net loss of jobs. CNE has been completely unbiased in putting this review together, and whilst we are not suggesting that it is exhaustive, it is at least strongly indicative of the balance of the scientific findings in this area.
Many of the studies have been developed by renewables and energy efficiency industry groups with a vested commercial interest in positive employment results, and therefore there may be some subjective bias in these methodologies. On the other hand there is no evidence of such work by the fossil fuel or heavy industry communities, most prominent in objecting to climate policy development. This suggests that even the ‘creative’ consultants employed by these groups have not put conflicting figures together.
To-date, CNE has
come across one exception to this trend (8). A study
produced by the Rheinisch-Westfälisches Institut
für Wirtschaftsforschung (RWI) examined the effects
of an energy tax on the employment market in Northrhein
Westphalia. It concluded that such a tax would result
in 430,000 job losses in the energy supply and energy
intensive industries. The report did however note that
additional jobs would be created through decentralized
electricity generation, cogeneration and energy efficiency,
but these were not quantified. This study has not yet
been published or subjected to peer review.(9)
5.2 Quantitative
Analysis
The
graph below plots "CO2 reductions" against
"jobs created" in order to identify a consistent relationship
between the two variables. The UK tax reform example
is omitted from this analysis
because
the measures in this work are targeted at a number of
environmental sectors and not only at CO2 reductions.
It was not possible to isolate the employment effects
of the climate measures within this package and therefore
quantitative analysis is inappropriate.
A weak correlation (Correlation Coefficient (CC) = 0.58) can be established using the 10 studies which is perhaps unsurprising given the substantial uncertainties which are discussed below. It is worth noting that the two studies dealing exclusively with taxation measures (and where revenue generated is almost entirely recycled through reductions on labour charges) have especially high job creation potentials relative to CO2 emissions reduced. The other studies are less simplistic and usually include dedicated and detailed investment programs focusing on specific technologies. If the two "taxation-only" studies are excluded from the quantitative assessment then the correlation improves substantially (CC=0.86) (see Figure 1), which is surprisingly high given the large differences in methodological assumptions.
This
may be due to the small sample but could also be indicative
of a much stronger relationship between the two variables
which would become apparent under more normalized conditions.
The strength of this relationship makes it worthwhile
extrapolating the best-fit trendline to give an estimate
of the EU -15% CO2 reduction target (see
Figure 2 and Table 1). The results are as follows:
Table 1: Employment effects
of the 15% CO2 reduction target
| Study | Employment effects |
| CNE regression analysis - 10 studies, CC=0.58 | + 3 986 740 |
| CNE regression analysis - 8 studies, CC=0.86 | + 1 927 064 |
| Commission macroeconomic analysis (for comparison) (10) | + 1 023 000 |
5.2 Limitations of the data
The quantitative results should be treated with considerable caution and have been generated more to establish general indicative trends and as a focus for discussion rather than to establish concrete statistical relationship.
In many cases various
models have been used to simulate the workings of technology
shifts on the economy. Whilst some of the more obvious
features of these packages are identified in this review,
no attempt has been made to assess the implications
of a model’s structure and assumptions in terms of the
implications for job creation - a task which unfortunately
falls outside the remit of the study. There are substantial
differences in assumptions about variables such as GDP
growth, energy prices, price elasticities of demand,
technology prices, CO2 emissions and so on.
These effects are compounded by the fact that many analyses
are country specific and are therefore focused on distinct
economies which behave in different ways.
Two areas of particular importance are examined in more detail below:
Economic costs and benefits
Initially
it was the intention of the study to compare the economic
costs and benefits for various technology options in
an attempt to establish a hierarchy of cost effectiveness
in terms of job creation. This was not possible for
a number of reasons, for example:
Job
creation
Another problem area, when comparing the results of the studies and also for concluding on the relevance of climate measures for job creation, is in assessing the real value of the jobs created:
The most
obvious conclusion that can be drawn from this review
is that climate change policies and energy efficient
and clean technologies create jobs. More importantly
these policies and technologies create jobs when compared
to a business as usual baseline, and usually produce
net economic benefits at the same time. This suggests
that the jobs created are sustainable and not just a
function of direct project investment producing localized
and temporary opportunities. Following on from this,
it is reasonable to assume that the intelligent development
of policies and measures designed to combat climate
change could result in a buoyant job market, focusing
on the expansion of under-exploited technologies and
business concepts. In order to exploit this potential
a number of areas need to be addressed:
6.1 Methodological recommendations
Methodological guidelines for estimating job creation potential would be helpful to improve the comparability of results. One example could be standardized techniques for calculating direct and indirect jobs created and the resultant multiplier effects. Consistent use of job years would give a clearer picture of the permanence of work created.
Environmental costs should be included in calculations or, at least, some indication of relative benefits in this area should be given. Whilst considerable uncertainties remain in costing externalities associated with greenhouse gases, other pollutants such as acid gases and particulate can be estimated more accurately. The Extern E program is a good example.
The
‘real value’ of job creation should be considered in
more detail. A greater discussion of the qualitative
aspects of job creation would be useful and, in particular,
linked for example to subjects such as regional employment
effects, skills development, labour availability and
existing patterns of unemployment.
6.2 Integration of employment
concerns into environmental thinking
Many of the studies consider job creation as a secondary effect or a ‘bonus’. As a result, the ‘real value’ of jobs created is usually poorly estimated, because the studies are not designed to address unemployment as a key issue. There needs to be greater interaction between policy makers in the fields of climate change and employment creation. A greater understanding is required of the real issues underpinning the employment debate, in order to design policies which maximize employment opportunities and greenhouse gas reductions in tandem.
This study provides an initial insight of the job creation potential of climate measures. To obtain more accurate and comprehensive data, further work is however required.
Furthermore:
General
CO2 Reduction:
CO2 carbon dioxide
NOx the sum of NO (nitrogen oxide) and NO2 (nitrogen dioxide)
SO2 sulphur dioxide
Mt million tons
GJ gigajoule (109)
TJ terajoule (1012)
PJ petajoule (1015)
MW million watt
TWh tera watt-hours
ECU/toe
ECU per ton of oil equivalent
1 Improving the Environment and Promoting Employment in Denmark
September 1995
Transport, environment and employment: A strategy with three pillars
Published/carried out by
Published by the General Workers Union in Denmark (SiD)
Prepared by the Economic Council of the Labour Movement, Denmark and the Centre for Alternative Social Analysis (CASA)
Model
Data for the size of the direct and indirect employment effects is based on the input output analysis of Denmark’s Statistics.
For the multiplier effects on employment there has been used the macroeconomic model ADAM.
Measures
The aim of the study is to achieve a shift from private to public transport and thereby promote employment.
Strategy A:
Shifting the price of transport, making public transport cheaper and private transport more expensive. This will lead to a shift from private to public transport.
Strategy B:
Investing in the infrastructure of public transport (e.g. railways) through either state or combined private/state investment.
The investment required to achieve a sensible improvement in the railway infrastructure is DKK 15 billion.
Strategy C (Denmark's Road Safety Commission):
Reduce average speed of cars and improve conditions for bicyclists and pedestrians.
Investment required
is about 7.5 billion DKK.
Effects on employment
Strategy A:
per DKK 1 billion:
jobs created in public tr. 2,900
jobs lost in private tr. about 1,000
net job creation 2,000
(direct and indirect effect)
for shifting 5% of private transport (means a 25% increase in public transport):
net job creation 3,000
Strategy B:
per DKK 1 billion (including VAT):
net job creation 2,700 person-years
for DKK 15 billion:
net job creation 40,000 person-years
with multiplier effect 55,000 person-years
he employment effect applies dispersed over the whole of Denmark and especially to unskilled workers in the construction area.
Strategy C (Denmark's Road Safety Commission):
net job creation 20,000 person-years
with
multiplier effect 28,000 person-years
Contact address:
General
Workers Union in Denmark (Sid), P.O. Box 392, 1790 Kopenhagen
V, Denmark, Tel +43 33 14 21 40, Fax +43 33 97 24 60
2 Sustainable Development in the Service of Employment (France)
(Formation d’Elus: Le Developpement Durable au Service de l’Emploi) January 1998
Published/carried out by
Published by INESTENE
The cited and evaluated studies have been carried out by different organizations. They will be mentioned with the different studies.
Biomass
Scenario of ASDER (Association Savoyarde pour le Developpement des Energies Renouvelables)
Model
For the calculations of the employment effect of the program there has been used a calculation scheme most often used for biomass. This calculates 4 jobs created per 1000toe of wood consumed. This figure takes into account job losses elsewhere in the economy.
Measures
The plan wants to create 2,000 biomass power plants in a time frame of 6 years. This is equal to 200MW energy and would require an investment of 670 million FF over the 6 years.
Effect on Employment
Direct
employment effect:
| employment in wood supply | 200 |
| employment in exploitation | 50 |
| total | 250 |
Solar Energy
The future plan of ASDER
Model
The study uses an established calculation for the employment generated by solar panel installation based on figures from existing companies in the solar sector in France. The ratio is that one direct job/year in the solar sector costs 350,000-500,000 FF.
Measures
The program wants to install 117 000 m² of solar panels in the time frame of 5 years. They would serve for the following three sectors:
Effect on Employment
| job-years | |
| Direct employment (fabrication and installation) |
1,082 |
| Indirect employment accompanying measures) |
128 |
| total |
1,210 |
Transport
Employment and Energy mobilized by passenger transport
Published/carried out by
Published by INESTENE
Carried out by INRETS and ADEME.
Model
There has been used the model IMPACT. This model evaluates the employment generated through investments in transport infrastructure. (It has as a basis that industries respond to the needs and not try to use their capacities.
Measures
The study evaluates the actual situation of transport in the region of Rhône-Alpes in regard of the energy consumed and employment generated by different means of transport.
It compares the situation of
1) Per billion of passenger-km:
| Means of transport | Energy consumed | Employment |
| urban car transport | 53,000toe | 2,700 |
| public transport | 24,000toe | 5,600 |
If these figures are compared public transport consumes 2,2 times less energy and creates 2 times more employment than urban car transport.
2) The study shows that bus transport employs 8 times more people than the metro.
Transport Projects for the Region Rhône-Alpes: The Real Alternative to the A51
Model
Not specified
Measures
Instead of building the A51 which is a new highway from Grenoble to Sisteron and which would go through a mountain region the alternative plan contains two measures:
Effects on Employment
Cost per job 516,770 FF
(comparison: The A51 would creat about 400 jobs and therefore has a cost/job ratio of 34.25million FF/job)
Evaluation of a Program to Renovate Heating Installations in Private Buildings in Rhône-Alpes
Model
The study uses
the model "Mure-chauffage" developed by INESTENE in
1993. It is a bottom-up model which is able to evaluate
the impacts of an energy efficiency program on energy
consumption. For this it identifies each measure unit
by calculating the associated costs for acquisition
and implemention of the specific insulation measure.
Parameters for this are the type of lodging, the age,
the type of heating and the energy used (oil, gas, wood
etc).
Measures
The program intends an insulation of housing built before 1975 in the time frame of 1995-2010.
Effects on Employment
Direct job creation
in 15 years:
| Measure | Employment |
| roof insulation | 125 |
| wall insulation | 1048 |
| ground insulation | 684 |
| double glassing | 194 |
| total | 2051 |
Conclusions
In the conclusions
there is a comparison between the different employment
scenarios. This comparison can only be used as an indicator
for certain trends of employment creation as the studies
reviewed use different models and different assumptions
and therefore cannot be directly compared.
| Sector/Study | Cost in mio FF | Duration (in years) | Employment | Cost/job in mio FF |
| Superphenix | 34,400 | 25 | 1,300 | 26.46 |
| Biomass (plan ASDER) | 670 | 6 | 250 | 2.68 |
| Solar (plan ASDER) | 541 | 6 | 1,210 (job-years) | 0.447 (job-years) |
| Insulation of housing | 7,200 | 15 | 2,051 | 3.51 |
Contact
address:
INESTENE,
Frédéric Tuillé, 5 rue Buot, 75013
Paris, France, Tel +33 1 45650808, Fax +33 1 45897357,
Email inestene@wanadoo.fr
3 Are there Double Dividends in Finland? - The Swedish Green Tax Commission - Simulations for Finland
1997
Published/carried out by Helsinki School of Economics
Model
The model is a
standard, pseudo-dynamic CGE-model. It takes into account
market imperfections and therefore a potentially stronger
reaction to a tax than in a perfect market.
Among the key assumptions the authors chose there are the following:
There are then different
tax scenarios modeled of which there will be two listed
in this report. The tax policy sees a raising of the
carbon taxes by 200% (no time frame given) and a redistribution
of the revenue by lowering employers’ social security
payments. One scenario models a fixed sectoral investment
(scenario 1), the other a fixed overall investment (scenario
2).
Effects
on Employment
Effects
on sectoral employment (in percentage from the baseline):
| Sector | Scenario 1 | Scenario 2 |
| Agriculture |
-0.29 |
0.00 |
| Forest |
0.61 |
0.30 |
| Mining |
0.94 |
1.74 |
| Coal |
3.46 |
4.29 |
| Hydro |
1.2 |
0.33 |
| Combined Heat and Power |
0.94 |
0.09 |
| Construction |
0.08 |
0.97 |
| Transport |
0.35 |
0.81 |
| Service |
0.77 |
0.87 |
| Other |
0.59 |
0.7 |
| Net employment |
0.69 |
0.85 |
| CO2 emissions |
1.07 |
1.42 |
| GDP |
1.91 |
1.59 |
Contact address:
Juha
Honkatukia, Helsinki School of Economics, Runeberginkatu
15 A 20, 00100 Helsinki, Finland, Fax +358 0 4313 8305,
Email honkatuk@hkkk.fi
4 Jobs for the Climate: The Employment Potential of Energy Efficiency Measures in the Housing Sector (Germany)
(Jobs fürs Klima - Beschäftigungspotentiale von Energiesparmaßnahmen im Raumwärmebereich)
November 1997
Published by WWF Germany
Carried out by German Institute for Economic Research (Deutsches Institut für Wirtschaftsforschung DIW)
Model
The study uses an open static input-output model. The input-output table used for this is produced by the German Federal Statistical Office ("Statistisches Bundesamt") for the year 1993. It calculates 58 production sectors, six sectors of final demand and 7 primary input. All indications about prices are made in prices of 1993. Employment effects are calculated on the basis of changes in production resulting from demand impulses.
Assumptions include:
Measures
A
total investment of DM 200 Mio (in prices of 1990) will
lead to energy saving of more than 50% in 55 years.
They will account for about 30% in the year 2005 and
about 45% in 2020. The amount of saved energy costs
will therefore be DM 12.6 billion in 2005 and DM 18.9
billion in 2020 (in prices of 1993).
Effects
on employment
Gross
employment effect:
positive effects
from investments in energy savings
| Sector |
|
|
| construction |
45,100 |
11,000 |
| building materials |
3,900 |
700 |
| other |
13,200 |
2,800 |
negative
effects from saved energy
| electricity, steam |
-10,700 |
-14,000 |
| gas |
-4,700 |
-6,200 |
| coal, products from mining |
-8,900 |
-11,700 |
| mineral oil products |
-1,400 |
-1,500 |
| other |
-15,500 |
-10,000 |
Net employment
effect:
| energy saving investments |
73,700 |
16,800 |
| saved energy |
-50,400 |
-60,500 |
| spending of saved energy costs |
47,900 |
53,400 |
| muliplier effect |
6,200 |
900 |
| Total |
77,400 |
10,600 |
| in percentage of total employees (Germany) |
0.20% |
0.03% |
Contact
address:
WWF
Germany, Stephan Singer, Hedderichstr. 110, 60591 Frankfurt,
Germany, Tel +49 69 60500377, Fax +49 69 617221, Email
singer@wwf.de
5 Saving the Climate That’s my Job - Literature Study: Germany (West-Germany)
August 1995
Further demand-oriented studies:
Macroeconomic
effects of air pollution control and climate protection
measures (FhG-ISI, 1992)
Published by the Wuppertal Institute for Climate, Environment, Energy GmbH
Written by Karin Ostertag
(FhG-ISI) and Kai Schlegelmilch (Wuppertal Institute)
Model
The model
uses a bottom-up-approach with long-term macro model
Measures
The study covers the time frame from 1987-2005 and the envisaged CO2 reductions are in the range of 28% in 2005, compared to 1987.
To achieve this CO2 reduction an energy tax is introduced:
Effects on employment
Net Job creation
in 2005 (compared to the baseline scenario):
| Scenario 1 | Scenario 2 | |
| direct employment | 100,000 | 100,000 |
| indirect and multiplier effect | 340,000 | 140,000 |
| net employment | 440,000 | 240,000 |
scenario 1 = when respending the saved money
scenario
2 = when not respending the money
Contact address:
Kai Schlegelmilch, Wuppertal Institut, Döppersberg
19, 42103 Wuppertal, Germany, Tel +49 202 2492-0, Fax
+49 202 2492-108, Email kai.schlegelmilch@wupperinst.org
6 Solar Jobs 2010 (Germany)
April
1997
Published by Greenpeace Germany
Carried out by the Fraunhofer Institute for Solar Energy Systems (Fraunhofer Institut für Solare Energiesysteme)
Model
Not specified
Measures
Increase of photovoltaic and wind energy until 2010:
Effect on Employment
| Employment effect | Wind energy | Photovoltaic |
| direct employment | 6,930-7,360 | 3,660-4,590 |
| indirect employment | 2,570-2,760 | 1,500-1,960 |
| multiplier effect | 4,270-4,560 | 2,320-2,950 |
| net effect | 13,770-14,680 | 7,480-9,500 |
Contact
address:
Greenpeace Germany, Sven
Teske, Zweigbüro Berlin, Chausseestr.131, 10115
Berlin, Germany, Tel +49 30 308899-0, Email mail@greenpeace.de
7 Direct and Indirect Job Creation from the Standard of Performance for Energy Efficiency Program (United Kingdom)
June 1997
Summary of the report to the Energy Saving Trust (EST) and Unison by the Association for the Conservation of Energy ACE
Model
The study uses a bottom-up model based on empirical evidence within the members of ACE. The modellers chose two Regional Electricity Companies (RECs) to discuss in detail the Standards of Performance (SoP) program implementation and likely employment effects. Using the figures of this discussion and the total number of measures within the 14 Public Electricity Suppiers (PESs) an estimate of the total amount of employment generated by the SoP was made.
Measures
The Standards of Performance program started in 1994 and the estimates made here are for the first two years. The investment sum is £25 million per year. The measures carried out are insulation measures in mostly lower income housing with an electricity saving target for Public Electricity Suppliers (PES) of 6,103 GWh as a cumulative lifetime savings.
Effects on Employment
Direct
job creation per year:
| PESs, EST | 210 |
| installation | 184 |
| total direct effects | 394 |
| total direct effects | 394 |
| indirect and multiplier effect | 67 |
| net job creation | 461 |
| costs per job per year | £22,000 |
Contact
address:
Association for the Conservation
of Energy ACE, Westgate House, 2A Prebend Street, London
N1 8PT, United Kingdom, Tel +44 171 359 8000, Fax +44
171 359 0863, Email acejoanne@aol.com
8 Less Traffic, More Jobs (United Kingdom)
May 1997
Published by Friends of the Earth England, Wales and Northern Ireland
Carried out by
ECOTEC Research and Consulting Ldt
Model
The study does not use a specific
model, but uses existing data on employment and employment
intensity of the different sectors of industry related
to transport. This was taken from work ECOTEC has done
before on this issue. From there it looks at the measures
introduced in the scenarios and calculates the changes
in productivity in each sector.
Measures
The baseline of the study uses the Sustainable
Transport Scenario (STS). The aim of this scenario
is to reduce traffic levels by 10% by 2010, over 1990
levels by shifting transport away from car to public
transport and cycling.
The employment effects are
calculated for a combination of the High Technology
Scenario and the High Lease Scenario. These
scenarios are introduced as an addition to the STS.
High Technology Scenario introduces:
High
Lease Scenario introduces:
Effects on employment
The study calculates only the direct employment
effect of the scenarios.
The STS already models
an increase in employment by 130,000 jobs in 2010 by
enhancing public transport.
For the car industry
the employment effects are listed in detail below:
| Measure | Employment change compared to STS (2010) | Total
Employment (2010) |
| Sustainable Transport Scenario (STS) | ||
| Total | 1,029,000 | |
| High Technology Scenario | ||
| Natural Gas Vehicles | 800 | |
| Electric Vehicles | 6,200 | |
| Hybrid Vehicles | 12,100 | |
| Rest | 1,200 | |
| Total | 20,300 | 1,049,000 |
| High Lease Scenario | ||
| Total | 15,100 | 1,043,700 |
| Combined High Technology and High Lease | ||
| Total | 35,400 | 1,064,000 |
The Combined
High Technology and High Lease scenario leads to an
employment reduction of 43,000 jobs in the car industry.
Therefore the overall effect of this scenario is a job
loss of 8,000 jobs.
Net employment
effect:
| Sector | Employment
change (2010) |
| Public transport/cycling (STS) | 130,000 |
| Combined high technology and high lease scenario | 35,000 |
| Car industry | -43,000 |
| Total | 122,000 |
Contact address:
Tim
Jenkins, Friends of the Earth England, Wales and Northern
Ireland, 26-28 Underwood Street, London N1 7JQ, Tel
+44 171 490 1555, Email timj@foe.co.uk
9 New Power, New Jobs - Combined Heat and Power: The Impact on Employment (United Kingdom)
October
1995
Published
by Combined Heat and Power Association CHPA
Carried out by the
New Economics Foundation
Model
Bottom-up model
which aggregates labour required for the different parts
of the process and which also takes into account other
side effects.
The
author states that only crude estimates can be made
because of not-existing data and the variability of
installation costs.
The
calculation on the employment effect are made on the
basis of the investment. The author assumes that 25%
of the investment sum has to be deducted for the import
of material. This means that about 50% of the material
used in the process are imported. The costs per job
assumed in the calculation are £30,000.
Measures
Planned installations:
Employment
effect for installations until 2000:
| direct job creation | 6,000-8,000 |
| multiplier effect | 2,000 |
| net job creation | 8,000-10,000 |
Contact address:
The Combined Heat
and Power Association, 35-37 Grosvenor Gardens, London
SW1W 0BS, United Kingdom, Tel +44 171 828 4077, Fax
+44 171 828 0310
10 Rethinking the Costs Relating to Global Warming: a Survey of the Issues (Belgium, Denmark, France, Ireland, Italy, Portugal, United Kingdom, West-Germany)
1995
Revenues from a Carbon Tax
Published/carried out by
Paul
Ekins, University of London
Model
HERMES Model, used by the European Commission
Measures
The scenario calculates
the employment effects of an energy tax. There
are two cases:
1)
Employment effects for 2005 (Unemployment rate,
in % from the baseline scenario)
| Revenue use | (A) | (B) |
| West-Germany | -0.3 | -0.7 |
| France | 0 | -0.2 |
| Italy | 0 | -0.2 |
| United Kingdom | 0.4 | -0.1 |
| Europe-4 | 0.01 | -0.37 |
2)
Employment effects for 2000 (Employment, in %
from the baseline)
| Revenue use | (A) | (B) | (C) |
| Belgium | 0.15 | 1.33 | 1.12 |
| Denmark | -0.04 | -0.24 | -0.22 |
| Portugal | -2.13 | -0.59 | -1.65 |
| Ireland | 0.6 | 0.9 | 0.3 |
Apart
from the employment effects the effect of the tax on
GDP is of a similarly small order.
Contact address:
Paul
Ekins, Keele University, Tel +44 1782 583 093/583 091,
Fax +44 1782 717 577
11 The Potential for Employment Opportunities from Pursuing Sustainable Development (European Union)
October 1994
Published/carried out by
Published by the European Foundation for the Improvement of Living and Working Conditions
Carried out by ECOTEC
Model
The model is a micro-economic model. The name is not mentioned in the study. It is a combined empirical and modeling approach. The model takes into account the direct sectoral, spatial and temporal employment effects. Employment effect are calculated for the time frame of about 10 years.
Agriculture (Biofuels)
Measures
The study models the case in which the rotational set-aside land is used to grow oilseed rape to produce biodiesel (rape methyl esther RME). The set-aside land equals a quantity of land of 4 million hectar for each year.
Effects on Employment
Base on available statistics of the UK Farm Management Data the study calculates11.4 person hours per hectare per year for the cultivation of oilseed rape. The cultivation represents 56% of the process of RME production. There is no explanation for the employment figure of the employment created in the processing of RME.
Direct
employment creation:
| Type of work | full time job equivalent (FTE) |
| cultivation | 24,400 |
| processing | 20,000 |
| total | 45,400 |
Job losses in the conventional fuel production are expected to be of small range.
Energy
Measures
The aim is to reduce the total final energy consumption in the EU by 20% until the year 2020 (this will nevertheless mean an increase in energy demand by 13%).
To achieve this the study introduces a package of 26 Best Available Technologies (BATs) that shall replace existing technologies at the end of their life time. From these the five most efficient BATs represent 50% of the savings achieved. These technologies are: building insulation, wind energy, Combined Heat and Power (CHP), improvement to cars and lighting.
The
overall additional investment to install these technologies
is around 19 billion ECU.
Effect on Employment
There has only been made a detailed calculation for the direct employment effects as respending and multiplier effects are very uncertain to calculate. Therefore the indirect effects calculated in this study are only to be seen as an indicator and not as a correct calculation of employment effects.
For the direct employment the calculation scheme used was the deduction of labour intensity of the existing technology from the labour intensity of the BAT that replaces it. The number of applications of the BAT is also taken into account.
For the respending and multiplier effect there has been used a simple expenditure/employment ratio. This calculates that for each ECU100,000 there is a employment reduction of one job elsewhere in the economy.
Employment
effect in 2020
| net direct employment | 880,000 |
| respending and multiplier effect | -190,000 |
| net employment | 690,000 |
Industry
Case Study 2: Substitution of Building Materials
Measures
The construction sector today is a highly
energy and transport intensive sector and it also has
a significant contribution to CO2 emissions, e. g. cement
production emits around 2% of EU CO2 emissions (1994).
The study models a replacement of existing non-renewable building materials like primary aggregates (building materials like e.g. concrete) and cement through renewable building material (mainly timber and recycled material, but also steel, clay etc.).
The use of cement could be reduced by 54% and the use of primary aggregates by as much as 67%. To substitute these, the demand for timber would rise by over 200% (to 161m³ per year) and the demand for recycled materials would increase by 280% (to 130m tones per year).
The rise in construction costs for this shift
in the supply of building materials is calculated to
be not more than 20%. It might even be less depending
on the changes in future supply and demand conditions
due to the change in production and the limited availability
of primary aggregates.
Effect on Employment
The study only calculates the direct employment effect. The distribution of the employment generated depends highly upon if the European timber industry will be able to satisfy the rising demand or if timber has to be imported.
The following results
are modeled for the case that the rising demand for
timber are met by the indigenous timber industry. The
employment effects can only be expected in the longer
term.
| Sector | Employment |
| Cement | -38,000 |
| Primary aggregates | -92,000 |
| Forestry | 378,000 |
| Wood processing | 524,000 |
| Secondary aggregates (incl. construction) | 20,000 |
| Net direct employment | 792,000 |
Transport
Model
The model
is a micro-economic model. It is a combined empirical
and modeling approach. The model takes into account
the direct sectoral, spatial and temporal employment
effects. Employment effect are calculated for the time
frame of about 10 years.
Measures
The main objectives are:
Only direct employment
effects for France, Germany, Italy, Netherlands, Spain
and the United Kingdom have been calculated.
Net
change in employment (compared to the baseline scenario):
| Sector | Employment | Percentage |
| car | -497,732 | -16% |
| bus | 81,465 | 14% |
| rail (passenger) | 473,568 | 50% |
| air | -161,576 | -16% |
| road (freight) | -268,045 | -8% |
| rail (freight) | 85,947 | 18% |
| inland (water) | 718 | 0% |
| total | -285,655 | -3% |
It
must be added that the employment effects can vary more
widely in the different countries due to the regional
differences and specialties.
Contact address:
European
Foundation for the Improvement of Living and Working
Conditions, Loughlinston House, Shankill, Co. Dublin,
Ireland, Tel +353 1 282 6888, Fax +353 1 282 6456
Job Creation in the Climate Change Mitigation Sector
WISE
Group (Glasgow, United Kingdom)
Activities
57% found further permanent employment or further education after the end of the training
Heatwise
Ldt. (Glasgow, United Kingdom)
Activities
Environmental
Improvement Program - EIP (Berlin, Germany)
Activities