IMPACT OF HIGH ENERGY COSTS: RESULTS FROM A GENERAL AND A PARTIAL EQUILIBRIUM MODEL Francesco Gracceva Umberto Ciorba International Energy Workshop Kyoto,

Slides:



Advertisements
Similar presentations
Model Comparison: Top-Down vs. Bottom-Up Models
Advertisements

Federal Planning Bureau Economic analyses and forecasts METHODOLOGY OF EMISSIONS PROJECTIONS FOR BELGIUM (Third national communication, April 2002) METHODOLOGY.
1 Coupling bottom-up and top-down energy models: challenges and results with TIAM and GEMINI-E3 Maryse Labriet 1, Marc Vielle 2, Laurent Drouet 3, Alain.
Effects of Structural Change and Climate Policy on Long-Term Shifts in Lifecycle Energy Efficiency and Carbon Footprint Gouri Shankar Mishra Sonia Yeh,
Economy-Energy-Environment (E3)Model: Energy Technology and Climate Change Youngho Chang Division of Economics and Nanyang Technological University.
Rainer Friedrich, Sandra Torras Ortiz, Ganlin Huang Institute for Energy Economics and the rational Use of Energy – University Stuttgart, Germany Jouni.
KATHOLIEKE UNIVERSITEIT LEUVEN CENTRUM VOOR ECONOMISCHE STUDIEN Keuze van elektriciteitscentrales : economie versus milieu Prof. Stef Proost Centrum voor.
MultiMOD – An equilibrium model for energy market & infrastructure analysis Ruud Egging 24 th Oct 2013 CREE meets CenSES.
SB306 Clean Air Tax or Fee Final Report January 2015 Northwest Economic Research Center College of Urban and Public Affairs.
Integrated Gas and Electricity Modelling Paul Deane Gas - Electricity Interactions Workshop June 2014 *
SEDS Macroeconomic Module Alan H. Sanstad, LBNL May 7, 2009.
Energy-Economy Modeling: Principles and Applications Youngho Chang Division of Economics and Nanyang Technological University 29 June 2013 Workshop.
Lusaka, 1 December 2010 Public Expenditure Review Workshop.
INTERNATIONAL ENERGY AGENCY World Energy Outlook 2004: Key Trends and Challenges Marco Baroni Energy Analyst Economic Analysis Division INTERNATIONAL HYDROGEN.
Assessment of Climate Change Impacts on Electricity Consumption and Residential Water Use in Cyprus Theodoros Zachariadis Dept. of Environmental Science.
First degree impacts of hydrogen as a transport fuel: A case study in New Zealand Andrew Baglino May 5, 2004.
Intermediate Macroeconomics
SEDS - Industrial Sector Joseph M. Roop Olga V. Livingston Pacific Northwest National Laboratory.
OECD Model simulations for OECD’s Environmental Outlook: Methods and Results Presentation at the Fourth Annual Conference on Global Economic Analysis Purdue.
Sustainable energy supply in Germany – scenario analysis with different CO 2 certificate prices Markus Blesl, Uwe Remme, Ulrich Fahl International.
Global and Regional Emissions and Mitigation Policies (with Application of ERB model for India) P.R. Shukla.
Modelling Economic Effects of the Renewable Energy Expansion – The German Case – Funded by the Federal Ministry for the Environment, Nature Conservation.
Economic and Environmental Impacts of Increased U.S. Natural Gas Exports Kemal Sarica Wallace E. Tyner Purdue University July 28-31, 2013 ANCHORAGE 32.
Gas Development Master Plan Scenarios for the GDMP Capacity Building Workshop Bali, 1-2 July 2013.
INTERNATIONAL ENERGY AGENCY AGENCE INTERNATIONALE DE L’ENERGIE 1 Dr. Robert K. Dixon Head, Energy Technology Policy Division International Energy Agency.
Overview of Energy- Environment Modeling MS&E 290: Public Policy Analysis February 22, 2005.
Distributional effects of Finland’s climate policy package Juha Honkatukia, Jouko Kinnunen ja Kimmo Marttila 10 June 2010 GTAP 2010 GOVERNMENT INSTITUTE.
1 On the Effect of Greenhouse Gas Abatement in Japanese Economy: an Overlapping Generations Approach Shimasawa Manabu Akita University March 2006.
College of Management & Economics, Tianjin University Projections of energy services demand for residential buildings: Insights from a bottom-up methodology.
1 Emission projections Norwegian approach Projection Expert Panel Dublin, Oct 25th 2007 Anne Kristin Fosli, Ministry of Finance Senior Adviser.
Federal Planning Bureau Economic analyses and forecasts 1 An assessment of Belgian NRP macroeconomic objectives in a medium term framework Francis Bossier.
Canada’s Energy Futures 2011: Shifting Trends Preview of Key Results & Comparison with Past Projections Abha Bhargava Matthew Hansen Bryce VanSluys 30.
1 Macroeconomic Impacts of EU Climate Policy in AIECE November 5, 2008 Olavi Rantala - Paavo Suni The Research Institute of the Finnish Economy.
Energy Systems Modeling at ERC The SA TIMES Model.
Socio-economic Implications of Mitigation Actions in the power sector including carbon taxes in South Africa Authors: B Merven, A Moyo, A Stone, A Dane.
Organisation for Economic Co-operation and Development (OECD) 1 Introducing land use in OECD’s ENV-Linkages model Rob Dellink OECD Environment Directorate.
MAPS Chile Macroeconomic Modelling Results: MEMO II Model November 5th, 2014 EconLab III, Cape Town.
Low carbon scenarios for the UK Energy White Paper Peter G Taylor Presented at “Energy, greenhouse gas emissions and climate change scenarios” June.
1 Introduction to exercise in emission scenario building Lars Strupeit Malé Declaration: Emission inventory preparation / scenarios / atmospheric transport.
1 Economics of The European 2020 Climate Goals Torben K. Mideksa Center for International Climate and Environmental Research - Oslo April 18, 2009 The.
International Energy Agency © OECD/IEA, 2008 International Workshop on Energy Statistics Mexico, 2-5 December 2008 From Basic Energy Statistics to Energy.
Analyzing the Oil Price-GDP Relationship and its Historical Changes.
MGMT 510 – Macroeconomics for Managers Presented By: Prof. Dr. Serhan Çiftçioğlu.
TFIAM May 2004 Amiens EEA scenario 2005 project : sustainable emission pathways Hans Eerens RIVM.
Earth’s Changing Environment Lecture 15 Energy Conservation.
Poverty and Social Impact Analysis: a User’s Guide – Economic tools Nairobi, 6-8 th December 2006.
Sustainable Energy Systems The EU “WETO” World Energy, Technology and climate policy Outlook 2030 Domenico Rossetti di Valdalbero European Commission,
The Canadian Approach To Compiling Emission Projections Marc Deslauriers Environment Canada Pollution Data Division Science and Technology Branch Projections.
U.S. National Communication: Projections and Effects of Policies and Measures United States Delegation UNFCCC Workshop on National Communications from.
Dutch Reference Outlook Energy and Greenhouse Gases Remko Ybema, ECN Policy Studies Workshop on Energy-related National and EU-Wide Projections.
INTERNATIONAL ENERGY AGENCY AGENCE INTERNATIONALE DE L’ENERGIE What is the Cost of Not Having Nuclear Power or Carbon Capture and Storage While Still Stabilizing.
CO 2 emissions on a quarterly basis Maarten van Rossum and Sjoerd Schenau Presented by Ellen Brinksma.
1 Norwegian baseline Bilthoven June 2009 Marte Sollie, Ministry of Finance.
ENERGY & CLIMATE ASSESSMENT TEAM National Risk Management Research Laboratory U.S. Environmental Protection Agency Office of Research.
The Second Capacity Building Workshop on “Low Carbon Development and Nationally Appropriate Mitigation Actions” Alternative Policy Scenarios For Renewable.
1 Economic Explanation of Net Benefits of Tourism Growth to the Community 17/06/2005 Mondher Sahli & Jean-Jacques Nowak.
1 Glen Sweetnam Energy Information Administration Houston, Texas November 16, 2007 Outlook for North American Natural Gas Demand.
Approaches in modelling a resilient energy scenario in UK MARKAL Elastic Demand (MED) version Ramachandran Kannan King’s College London June 2009,
3: Energy Consumption and Demand Tilak Siyambalapitiya
1 Co-benefits of CO 2 Reduction in a Developing Country: Case of Thailand Ram M. Shrestha and Shreekar Pradhan Asian Institute of Technology Thailand INTERNATIONAL.
Climate Policy within an International Emission Trading System Lars Bohlin Department of Economics, Örebro University
World Energy and Environmental Outlook to 2030
Dr. Gabrial Anandarajah, Dr. Neil Strachan King’s College London
Asociación Española para la Economía Energética (AEEE)
Department of Economics
The Opportunity Cost of Climate Mitigation Policy
Fairtax Conference: “Options for an EU Tax as an EU Own Resource”
30th USAEE/IAEE North American Conference
Key elements of Finnish Climate change strategy
Poverty and Social Impact Analysis: a User’s Guide – Economic tools
Presentation transcript:

IMPACT OF HIGH ENERGY COSTS: RESULTS FROM A GENERAL AND A PARTIAL EQUILIBRIUM MODEL Francesco Gracceva Umberto Ciorba International Energy Workshop Kyoto, 4-6 July 2005

2 OVERVIEW  Energy price and the economy/energy system  Understanding and simulating the link  A general and a partial equilibrium model  Markal-Macro  Markal-ED  Simulation assumptions  Results  Impact of high energy costs on the economy  Impact of high energy costs on the energy system  Conclusions

3 ENERGY PRICES AND THE ECONOMY

4 UNDERSTANDING/SIMULATION OF THE LINK ENERGY COST  ECONOMY/ENERGY SYSTEM (1) MACROECONOMIC EFFECTS Direct effects (more spending for energy costs), depending on:  % energy costs on GDP  dependence on imported energy  ability of the economy to substitute energy with other inputs  … Adjustment effects, linked to real wage, price and structural rigidities:  inflation from increased input costs and pressure on nominal wages  reduced demand and lower investments  risk of unemployment, budget deficit  … Need for a general equilibrium approach

5 UNDERSTANDING/SIMULATION OF THE LINK ENERGY COST  ECONOMY/ENERGY SYSTEM (2) ENERGY SYSTEM EFFECTS Direct effects (energy costs more), depending on:  sensitivity of energy demands to prices and income  ability of the energy system to reduce energy consumption through: conservation efficiency improvements  ability of the energy system to change the fuel mix  … Indirect effects:  through GDP reduction  … Need for a simulation of the endogenous impact of prices/income on demand (together with a detailed description of energy system)

6 A GENERAL AND A PARTIAL EQUILIBRIUM (MARKAL) MODEL

7 MARKAL-MACRO MARKAL MACRO Labor Consumption Energy Costs Energy Investment Capital Y Hydrogen production Industry Residential/ commercial Electricity production Refineries Transport Heating Cooling Power Moving etc. Gasoline Natural gas Electricity Coke Hydrogen Heat etc. Renewables Fossil fuels Nuclear Useful energy Primary energy Conversion sectors/processes Final energy Demand sectors/processes Coke ovens Heat production  Links the technology model MARKAL with a neoclassical economic growth model, through an aggregate (non linear) production function  Variations of energy demand are due to substitution between energy and other production factors, strongly dependent on ESUB  G.E. model: detailed description of the energy sector plus interactions between energy and the economy  BUT, as a single sector model, it is only able to roughly capture many changes in energy demand resulting from changes in exogenous variables

8 MARKAL-ED  An extension of the technology model MARKAL allowing energy service demands to be endogenously affected by its shadow prices and income  The model maximizes net social surplus (based on Equivalence Theorem), a non-linear function linearised by piecewise linear functions  Possible to handle different elasticities for different demand categories  BUT partial equilibrium: no mechanism to simulate macroeconomic feedback effects (even if loss of Net Social Surplus is a proxy of GDP loss) Hydrogen production Industry Residential/ commercial Electricity production Refineries Transport Heating Cooling Power Moving etc. Gasoline Natural gas Electricity Coke Hydrogen Heat etc. Renewables Fossil fuels Nuclear Useful energy Primary energy Conversion sectors/processes Final energy Demand sectors/processes Coke ovens Heat production

9 MARKAL, MARKAL-MACRO, MARKAL-ED Markal Markal-Macro  As most effects are related to measures taken inside the energy sector, “ignoring the impact of GDP on the energy system is not a very significant error” (Loulou, Lavigne, 1996)  Preferable to use: MM to estimate economic effects; models with better simulation of demand sensitivity to prices/income to analyse the impact on the energy sector Modest impact of GDP on energy demand Larger CO2 reduction in MM, mainly due to lower DM/GDP

10 SIMULATING THE LINK BETWEEN ENERGY COST AND THE ECONOMY/ENERGY SYSTEM: A TWO MODEL APPROACH MARKAL-ITALY Evolution of energy system up to 2048 Equilibrium quantities and prices of more than 300 flows of energy goods and materials, from more than one thousand technologies 67 energy service demands:  Industry: production of energy-intensive materials  Residential: heating, cooling, lighting, warm water, main electric devices  Services: heating, cooling, lighting, other electric use and motive power  Transportation: pass-km and ton-km, three areas (urban, medium and long distance)  Agriculture Energy system effects Markal-Macro Italy Markal-ED Italy (price+income elastic) Assessment of economic effects

11 SIMULATION ASSUMPTIONS

12 THE REFERENCE SCENARIO  Socio-economic assumptions GDP (average growth) Population (avg. gr.) 1.8% -0.1% 1.8% -0.1% – % -0.2%  Price of imported fuels

13 OIL PRICE IN REFERENCE AND HIGH PRICE SCENARIOS Two scenarios: difference a bout 10$/bbl

14 ASSUMPTIONS ABOUT SOME KEY MODEL PARAMETERS  Price elasticities Industry-0.5 Services-0.4 Residential-0.3 Transp. - passengers-0.4 Transp. - freights-0.2  Income elasticities Industry0.8 Services0.8 Residential Transp. - passengers1.0 Transp. - freights MARKAL-MACRO:  ESUB (elasticity of substitution between capital/labour and energy) = 0.35  GROWV (potential annual GDP growth rates) = 1.8%/yr MARKAL-ED:  Maximum demand reduction/increase = from 20% in 2004 to 50% in 2028  Alternative GDP growth = same GDP growth projected by in MM-High Price

15 RESULTS

16 HIGH ENERGY PRICES AND THE ECONOMY  The economic impact of high energy price is significant ( %). Estimates are similar to recent literature (IEA, 2004)  The economic effect of high prices is quite similar according to the two versions of the model: loss of Net Social Surplus in MED is similar to GDP loss in MM

17 HIGH PRICES AND THE ENERGY SYSTEM (1/5): MARKAL-ED vs. MARKAL-MACRO  The impact of high prices on the energy system is quite different: reduction of energy service demands is significantly larger in MM  Introduction of income elasticity in partial equilibrium model increases the reduction of demands only slightly (in medium-term)

18 HIGH PRICES AND THE ENERGY SYSTEM (2/5): MARKAL-ED vs. MARKAL-MACRO  The two versions of the model produce quite different reductions  In MM, strongly dependent by a key parameter (esub), reduction in almost all sectors  A result produced by different methodology or by different parameters ?

19 HIGH PRICES AND THE ENERGY SYSTEM (3/5) Markal-Macro:  Reduction of final consumption increases with time  In medium/long-term reduction reaches about -2 Mtoe (mainly in industry and residential) Markal-ED:  Reduction of final consumption in industry follows reduction in service demand  Reduction of final consumption in other sectors follows long- term efficiency improvement

20 HIGH PRICES AND THE ENERGY SYSTEM (4/5)  Change in fuel mix: accelerated substitution between oil and gas (with respect to Reference)

21 HIGH PRICES AND THE ENERGY SYSTEM (5/5) Markal-Macro: CO2 reduction is strong in  industry (demand reduction)  electricity sector (change in fuel mix) Markal-ED: CO2 reduction is large mainly in industry, the only sector with significant demand reduction

22 CONCLUSIONS/OPEN ISSUES GE approach is useful to estimate the impact of energy prices/measures on the economy, but GE models usually simulate only roughly the link between energy cost and energy demand  Effects on the energy system overestimated by GE models ? On the contrary, impact on the energy system is better simulated with more detailed simulation of the sensitivity of energy demands to price/income  (Provided that good elasticity estimates are available), partial equilibrium models are preferable to analyse impact on energy system ? Some results from MM-Italy+MED-Italy:  economic impact of high energy price is significant, and estimates are similar to recent literature  the impact on the energy sector is quite larger in MM than in MED  A possible relevant policy implication: even if economic effects are significant, expected reduction in energy consumption (and emissions) could be overestimated