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Rob Dellink — Modelling the costs of environmental policy Dynamic CGE Modelling for Analyzing Environmental Policies Ekko van Ierland and Rob Dellink [email protected] [email protected] or: www.enr.wur.nl/uk/staff/dellink/ 1 Rob Dellink — Modelling the costs of environmental policy Set-up of the presentation Aim: assessing the costs of Dutch environmental policy by developing a dynamic AGE model with special attention to pollution and abatement (DEAN) Introduction Overview of the model Data and policy scenarios Main results Concluding remarks 2 Rob Dellink — Modelling the costs of environmental policy Part I: Model description 3 Rob Dellink — Modelling the costs of environmental policy Overview of the DEAN model Multi-sector dynamic Applied General Equilibrium model – perfect-foresight behaviour: Ramsey-type model Environmental module: pollution and abatement – pollution and abatement are present in the benchmark No impact from environment to economy – no amenity value of environmental quality – no damages from environment on economy – no efficiency analysis, just cost-effectiveness Model specified in GAMS / MPSGE & available on website 4 Rob Dellink — Modelling the costs of environmental policy Specification of economic activity Multi-sector Applied General Equilibrium model – description of the national economy – producers: profit maximisation under perfect competition – consumers: utility maximisation under budget balance & LES structure – equilibrium on all markets (Walras’ Law) – individual agents are price takers; no money illusion International trade – small open economy – domestic and foreign goods are imperfect substitutes (Armington) – no international co-ordination of environmental policy 5 Rob Dellink — Modelling the costs of environmental policy Specification of economic growth Dynamic model – perfect-foresight behaviour: Ramsey-type model with finite horizon – exogenous increase in labour supply – endogenous accumulation of capital and greenhouse gasses Comparison of dynamic behaviour in Chapter 3 – comparative-static specification – recursive-dynamic specification – perfect-foresight speciciation – comparison uses small version of the model 6 Rob Dellink — Modelling the costs of environmental policy Specification of pollution Environmental themes – individual pollutants aggregated using ‘theme equivalents’ – interactions within theme fully taken into account Polluters need pollution (permits) for their activities – necessary input of production process / utility formation – tradable permit system implemented in the benchmark – autonomous pollution efficiency improvements Government auctions pollution permits – environmental policy implemented as restriction of number of permits – revenues are recycled lumpsum to private households 7 Rob Dellink — Modelling the costs of environmental policy 8 Specification of abatement Using bottom-up technical abatement information – costs and effects of end-of-pipe and process-integrated options: discrete modelling of all available options is practically infeasible – measures ordered by increasing marginal abatement costs – technical potential: in the short run not all pollution can be abated – ‘spending effects’: inputs in Abatement production function Endogenous choice between (i) paying for pollution permits or (ii) investing in abatement or (iii) reducing activity level Estimation of “Pollution - Abatement Substitution” (PAS) curves: limited substitution between pollution and abatement Rob Dellink — Modelling the costs of environmental policy 9 From MAC to PAS Cumulative abatement costs (in % of maximum) 120 Sustainability estimate 100 Short-term policy target Technical potential Current pollution level 80 60 40 Data abatement costs PAS curve 20 0 0 20 40 60 80 Emissions (in % of current level) 100 120 Rob Dellink — Modelling the costs of environmental policy 10 Abatement as an economic good Abatement modelled like ‘normal’ production sector – abatement goods are demanded by all polluters (on a perfect market) – decisions on ratio between pollution and abatement are reversible The ‘Abatement sector’ production function – nested CES production function – labour, capital and produced goods are inputs in abatement sector production function (the ‘spending effects’) – changes in input costs leads to changes in marginal abatement costs (mainly changes in labour productivity) Autonomous pollution efficiency improvements Rob Dellink — Modelling the costs of environmental policy 11 Structure of the production function Output 0 Environmental Services Production Y 0 ID K L Intermediate Labour Capital deliveries PAS Pollution Pollution Abatement permits - permits unabatabl abatable e part part Rob Dellink — Modelling the costs of environmental policy Part II: Calibration 12 Rob Dellink — Modelling the costs of environmental policy Calibration of the model Environmental themes – Climate change, Acidification, Eutrophication, Smog formation, Dispersion of fine dust, Desiccation, Soil contamination Benchmark projection – – – – – – model calibrated to the Netherlands, accounting matrix for 1990 balanced growth of 2% per year theme-specific autonomous pollution efficiency improvements 27 production sectors 1 representative consumer for all private households 1 government sector: existing distortionary taxes 13 Rob Dellink — Modelling the costs of environmental policy Data sources Description of initial situation in 1990 – Social Accounting Matrix: Statistics Netherlands (National accounts) – emissions: Statistics Netherlands / RIVM – abatement cost curves: own compilation based on various sources, including RIVM and ICARUS Growth rates – own calculations based on data for 1995 and 2000 Parameters – elasticities: extended Keller model / SNI-AGE model – other parameters: existing literature 14 Rob Dellink — Modelling the costs of environmental policy 15 Policy scenarios Policy scenario NEPP2030 – emission targets for 2030 based on NEPP4 (+expert judgements): Climate -50%; Acid. -85%; Eutroph. -75%; Smog -85%; PM10 90% – linear path to target from 2000 - 2030 – stabilisation of emissions from 2030 onwards Policy scenario Delay – targets for 2030 postponed to 2040 Policy scenario NEPP2010 – additional targets for 2010 based on NEPP3 (+expert judgements) Rob Dellink — Modelling the costs of environmental policy 16 Policy impulse for Acidification 45 35 30 25 20 15 10 5 Benchmark project ion NEPP2030 Delay NEPP2010 2090 2080 2070 2060 2050 2040 2030 2020 2010 2000 0 1990 m. acid equivalents 40 Rob Dellink — Modelling the costs of environmental policy Part III: Main results 17 Rob Dellink — Modelling the costs of environmental policy 18 Impact on GDP 1800 1600 14 00 1000 800 600 4 00 wit hout environment al policy 200 wit h environment al policy 2090 2080 2070 2060 2050 2040 2030 2020 2010 2000 0 1990 bn. euros 1200 Rob Dellink — Modelling the costs of environmental policy 19 changecompared comparedtotobenchmark benchmark %%change 0.0 -2.0 -4 .0 -6.0 -8.0 -10.0 -12.0 NEPP2030 Delay NEPP2010 2090 2080 2070 2060 2050 2040 2030 2020 2010 2000 1990 Impact on GDP Rob Dellink — Modelling the costs of environmental policy Sectoral results Indirect effects are important – most dirty sectors not necessarily most heavily impacted Impacts on production sectors very diverse – in long run large reductions in energy sectors and heavy industry – small reductions (or even small increases) in services sectors – combination of shift and shrink Impacts on consumption more evenly spread – impacts depend crucially on environmental policy abroad – in short run increase in consumption 20 Rob Dellink — Modelling the costs of environmental policy 21 Grouped sectoral results Sectoral effects of NEPP2030 policy 1990 2010 2030 2050 Private consumption Agriculture 0.44 -0.08 -6.88 -9.30 Private consumption Industry 0.89 0.91 -8.80 -12.05 Private consumption Services 1.06 1.34 -3.23 -8.57 Sectoral production Agriculture -1.09 -7.46 -32.64 -34.58 Sectoral production Industry -0.60 -3.25 -35.05 -30.64 Sectoral production Services 0.09 -0.64 0.49 -3.74 Sectoral production Abatement services -0.03 4.23 16.59 15.81 Rob Dellink — Modelling the costs of environmental policy 22 Emission reductions (year 2030) 120 100 80 60 40 20 0 Climate change Acidification Emissions Remaining before after emissions policy policy Eutrophication Smog formation Technical Economic Economic measures restructuring restructuring Fine dust Economic Technical Technical restructuring measures measures Rob Dellink — Modelling the costs of environmental policy 23 2090 2080 2070 2060 2050 2040 2030 2020 2010 2000 1990 Technically abatable emissions % change compared to benchmark 20 0 -20 -4 0 -60 -80 -100 Climat e change Acidif icat ion Eut rophicat ion Smog f ormat ion Fine dust Rob Dellink — Modelling the costs of environmental policy 24 Gross environmental expenditures Gross environmental expenditures in the NEPP2030 scenario with the base specification of DEAN (undiscounted values in billion Euro) 1990 2010 2030 2050 Climate change 0.55 1.64 2.52 6.07 Acidification 0.16 0.42 5.60 6.58 Eutrophication 0.11 0.23 0.36 0.54 Smog formation 0.07 0.25 100.96 107.54 Fine particles to air 0.01 0.02 0.65 0.82 Desiccation 0.25 0.37 0.37 0.64 Soil contamination 8.77 13.04 13.15 22.42 Total environmental expenditures 9.92 15.98 123.62 144.62 4% 5% 26% 21% in percentage of GDP Rob Dellink — Modelling the costs of environmental policy Part IV: Final remarks 25 Rob Dellink — Modelling the costs of environmental policy 26 Sensitivity analysis Specification of technical potential – results highly sensitive to technical potential Smog formation – higher technical potential means lower costs and more abatement Specification of PAS-elasticity – small impact, as all VOC measures will be implemented anyway – higher elasticity means lower costs and less abatement expenditure Specification of endogenous environmental innovation – endogenous innovation (read: learning by doing) is likely to occur – any excessive economic costs of environmental policy can be prevented Rob Dellink — Modelling the costs of environmental policy Impact of model variants on welfare Equivalent variation Base specification -5.8 GHG emission policy -7.4 Endogenous innovation -3.2 Labour tax recycling -5.6 Multilateral policy -11.7 High technical potential Smog formation -4.1 27 Rob Dellink — Modelling the costs of environmental policy 28 Future research / room for improvement Better modelling of energy carriers and fuel switch options – linking emissions of GHGs to input of energy where appropriate – top-down modelling of fuel switch options – ay suggestions on modelling national climate policy? Add more empirical details on abatement options – sectoral specification of potential options (if possible) – differentiate production function abatement sector – improve modelling of negative cost options Add feedback effects from environment to economy (benefits) Rob Dellink — Modelling the costs of environmental policy 29 Conclusions Major (bottom-up) characteristics of abatement options can be integrated in a (top-down) CGE framework Macro-economic impact ‘modest’ 10 percent / 5 years delay / 80 bn Euro net / 145 bn Euro gross Environmental policy creates both threats and opportunities for production sectors Technical measures and economic restructuring are both essential Interactions between environmental problems have substantial influence on results