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Economic Modeling of Contemporary Global Policy Issues: Trade Liberalization and Environmental Policy Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA) and Lowy Institute for International Policy And The Brookings Institution ANU POGO 8027 March 15, 2005

Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

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Economic Modeling of Contemporary Global Policy Issues: Trade Liberalization and Environmental Policy. Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA) and Lowy Institute for International Policy And The Brookings Institution. ANU POGO 8027 March 15, 2005. - PowerPoint PPT Presentation

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Page 1: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Economic Modeling of Contemporary Global Policy Issues:

Trade Liberalization and Environmental Policy

Warwick J McKibbinANU Centre for Applied Macroeconomic Analysis (CAMA)

and Lowy Institute for International Policy

And The Brookings Institution

ANU POGO 8027 March 15, 2005

Page 2: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Background papers are available from:

WWW.SENSIBLEPOLICY.COM

Or

WWW.GCUBED.COM

Page 3: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Overview

Part I• Thinking about the Uncertain Future

The need for a framework• What are models?• How to Use them• Economy Wide and Global Economic Models

Key Features Strengths and Weaknesses

• A peek inside a new generation of models (dynamic intertemporal general equilibrium models)

Page 4: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Overview

Part II• Using Dynamic Intertemporal General Equilibrium Models for

Scenario Analysis and Policy Design Dynamics of Trade Liberalization Sensible Climate Change Policy

Page 5: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Use of Models in Policy Evaluation

The world is an uncertain place Models are useful for

• Forecasting• Policy evaluation• Scenario analysis

Page 6: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Use of Scenarios

The most effective way to undertake scenario analysis is with an internally consistent and empirically relevant framework

We have developed a series of global economic models with many countries and many sectors based on new developments in intertemporal economics

The models form the analytical and empirical basis for designing alternative scenarios

Page 7: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Use of Scenarios

Ask the question• What are the likely consequences of the Iraq War?

Design the scenarios that give different insights to the question• Examine history (Gulf War I, Afghanistan, Vietnam, Korea)

Wars always cost more than expected Costs are more than the fiscal outlays

• Shocks to Government spending for the war (US,Aust,UK) Government spending for the peace (Europe/Japan) Increased global risk

Impose the shocks in a consistent framework (a model) Interpret the results Assess the key sensitivities that drive the results

Do people expect it to be temporary or more permanent?

Page 8: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Scenario Examples www.economicscenarios.com

The Aftermath of the Sept 11 Terrorist Attacks What if Japan Adopted a Sensible Macroeconomic Policy? The Consequences of WorldCom and Enron Collapses The War with Iraq: the compounding Effects of Oil Prices, Budgetary

Costs and Uncertainty The SARS Outbreak: How Bad can It Get? Exploding Fiscal Deficits in the United States: Implication for the World

Economy What if China Revalues Its Currency China: The Implications of Policy Tightening Oil Price Scenarios and the Global Economy The United States Current Account Deficit and World Markets

Page 9: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

What is an Empirical Economic Model?

A set of equations embodying the history of theoretical and empirical economic knowledge

Key bits• identities• behavioural equations• exogenous inputs

Page 10: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

How to Use Economic Models

Very carefully!

Can get both quantitative estimates and new insights on complex issues

Page 11: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

What Features are Important in a Model?

Does the model explain anything we observe today or in the recent past (VALIDATION)? ;

Is the model continually reviewed by experts who actually use it; is it published in the refereed academic literature; is a full listing of all equations available on request; and is it generally open to evaluation by others?;

Page 12: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

What Features are Important in a Model?

Is the private market willing to purchase the model for the value it provides? ;

Do the model results pass the test of common sense?; Are the mechanisms in the model transparent to other

trained economists?

Page 13: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Economic Models

Input Output Models• Examples:

United Nations Global models developed by Wassily Leontieff, Faye Duchin

Page 14: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Economic Models

Input/output models Computable general equilibrium (CGE) models Old style macro-econometric models Modern macro-econometric models Dynamic intertemporal general equilibrium models

• New Keynesian macro models Micro-simulation models/ artificial life models

Page 15: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Economic Models

Input Output Models• Trace the flow of resources between sectors;• Little role for relative price changes or substitution of inputs or

consumption bundles;• Tend to be static;• No allowance for capital accumulation or international financial

flows;• Ignore the role of money and asset prices;

Page 16: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Economic Models

Computable General Equilibrium Models (CGE)• Examples:

Domestic– ORANI model, Monash Model– Murphy 303

Multi-Country– MEGABARE, GIGABARE, GTEM– GTAP World Trade Model– Michigan World Trade Model

Page 17: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Economic Models

Computable General Equilibrium Models (CGE)• Derived from microeconomic optimization theory;• Considerable attention to individual behavior;• Relatively easy to understand results given theoretical structure;• Inadequate macroeconomic behavior;• Tend to be comparative static or recursive dynamic;

Page 18: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Economic Models

Computable General Equilibrium Models (CGE) Inadequate treatment of intertemporal saving and investment

decisions, capital accumulation, financial capital flows; Ignore the role of money and asset prices; Rarely validated with actual experience either econometrically or

through forecasting or shock replication.

Page 19: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Models

Old Style Macroeconometric Models • Examples

Domestic– NIF Treasury Model– Reserve Bank Models I & II

International– Data Resources Inc (DRI)– Warton

Page 20: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Models

Old Style Macroeconometric Models • Rely on correlations in time series data based on aggregate

economic theory;• Reasonably good for short term forecasting (tend to be quarterly)• Difficult to understand results because of lack of theoretical

structure;• Unclear long run properties;

Page 21: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Models

Modern Macroeconometric Models • Examples

Domestic– Murphy model 2– Access Economics– Treasury TRYM model

International– IMF Multimod– Oxford Econometric Forecasting (OEF)– GEM model of LBS/ NIESR

Page 22: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Models

Modern Macroeconometric Models • More tightly specified theory• Rational Expectations in some markets• short run data consistency with long run theoretical properties• tend to be quarterly

Page 23: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Models

Dynamic Intertemporal GE Models• Examples

The MSG2 Multi-Country Model » (McKibbin & Sachs)

The GCUBED Multi-Country Model» (McKibbin & Wilcoxen)

– GCUBED Environment– GCUBED (Asia Pacific)– GCUBED (Agriculture)– The MSG3 Multi-Country Model

Page 24: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Models

Dynamic Intertemporal GE Models• integrates the key features of the other types of models• mix of econometric estimation and calibration• annual frequency• problem with large degree of dis-aggregation because of complexity

of the numerical algorithms needs

Page 25: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Models

New Keynesian Models (also called Dynamic Stochastic General Equilibrium models (DSGE)) • Since the publication of the Obstfeld and Rogoff textbook on

International Economics, macro modellers have discovered intertemporal models Sticky prices Mix of optimizing and rule of thumb agents Imperfect competition

Page 26: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Types of Models

Others• Micro Simulation Models (NATSEM)• Artificial Life Models (Sante Fe Institute, Brookings Institution)

Page 27: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Inside one class of models

Dynamic Intertemporal General Equilibrium Models

Page 28: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Overall model development strategy

Funding is both through research grants and private consulting Hub and spoke approach to coordinating a global research project

• The model is managed/developed in the core research team in Australia and Texas

• Users (researchers/ governments/ financial investors) in different countries feed back to the core group both their own developments of the model as well as funding the core for new developments. All of which which we are able to incorporate into the model over time

Page 29: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Features of DIGE models

Dynamic Intertemporal General Equilibrium Multi-Country Multi-sectoral Econometric Macroeconomic

Page 30: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The MSG2 Multi-country model

McKibbin and Sachs

Page 31: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Development and Subscription Funding

– McKibbin Software Group Inc– US Congressional Budget Office– The Brookings Institution– US Department of Commerce– US Government– United Nations– World Bank– Australian Treasury– Centre for International Economics– Nomura Research Institute– Daewoo Research Institute (Korea)– Warwick Modeling Bureau– Many Academic Colleagues

Page 32: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The MSG2 Model Countries

United States - Taiwan Japan - Malaysia Germany - Indonesia France - Thailand Canada - India United Kingdom -Philippines Italy - Hong Kong Austria - Singapore Australia - Korea New Zealand China

Page 33: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The MSG2 Model 1 Sector in each country macroeconomic focus International capital and trade flows Forward looking expectations by some agents Rigidities in physical capital formation but highly mobile

financial capital Unemployment is labour markets due to institutional factors

Page 34: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The G-Cubed Model

McKibbin & Wilcoxen

Page 35: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Development and Subscription Funding

• Major Funding The Brookings Institution United States Environmental Protection Agency United States National Science Foundation McKibbin Software Group Inc

• Minor Funding through consultancies United Nations Australian Dept of Environment New Zealand Department of Commerce Canadian Dept of Finance

Page 36: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The G-Cubed Model

• Countries United States Japan Australia New Zealand Canada Rest of OECD Brazil Rest of Latin America China Eastern Europe and Former Soviet Union Oil Exporting Developing Countries Other non Oil Exporting Developing Countries

Page 37: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The G-Cubed Model• Sectors

– Electric Utilities– Gas Utilities– Petroleum Refining– Coal Mining– Crude Oil and Gas Extraction– Other Mining– Agriculture, Fishing and Hunting– Forestry and Wood Products– Durable Manufacturing– Non Durable Manufacturing– Transportation– Services

Page 38: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The G-Cubed (Asia Pacific) Model

Page 39: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Countries United States Japan Australia New Zealand Rest of the OECD Korea Thailand Indonesia China Malaysia Singapore Taiwan Hong Kong Philippines India Oil Exporting Developing Countries Eastern Europe and the former Soviet Union Other Developing Countries

Page 40: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

G-Cubed (Asia Pacific)

• Sectors Energy Mining Agriculture Durable Manufacturing Non-Durable Manufacturing Services

Page 41: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The G-Cubed (Agriculture) Model

Page 42: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

G-Cubed (Agriculture)• Countries

– United States– Japan– Australia– EU12– Canada– Mexico– ROECD– China & Hong Kong– ASEAN– Taiwan– Korea– ROW

Page 43: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

G-Cubed (Agriculture)

• Sectors Food grains (rice and wheat) Feed grains Non-grain crops Livestock and its products Processed food Forest and Fishery Mining Energy Textile and Clothing Other non-durable consumer goods Durable consumer goods Services

Page 44: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Agents and Markets

AGENTS MARKETS Households Goods & Services Firms Factors of Production Governments Money

Bond Equity

Foreign Exchange

Page 45: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Key Features

the demand and supply side of the major economies are explicitly modelled ;

demand and supply equations are based on a combination of intertemporal optimizing behavior and liquidity constrained behavior;

Page 46: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Households

• 2 types A) maximize an intertemporal utility function consisting of all

goods and services produced domestically and overseas, subject to an intertemporal budget constraint that the present value of consumption is bounded by the present value of after tax income from all sources

B)Base aggregate consumption expenditure on an optimal rule of thumb with current consumption of each good allocated so as to maximize contemporaneous utility

Page 47: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Firms• 2 types

A) Maximise their share market value (the present value of the future stream of dividends) subject to production technology, a cost of adjustment model of capital and taking prices as given. They base their calculation on a summary of the future measured by Tobin’s Q.

B)Base aggregate investment expenditure on an optimal rule of thumb with investment equal to cash flow after paying for variable factors of production

Apart from physical capital other factors of production are flexible

– Labor, energy and imported intermediates in MSG2 – Labor, energy, materials, resources in GCUBED

Page 48: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Governments

Governments provide public goods that enter into the utility functions on households (additively seperable) and transfer payments;

In MSG2 governments provide infrastructure that enters into the production function of firms with increasing returns

They collect a wide variety of taxes on income of firms households, imports, sales.

Governments are subject to the intertemporal budget constraint that the present value of spending and transfers is bounded by the present value of future tax collections.

Page 49: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Countries

Countries are collections of individual firms, households and governments that trade goods and services as well as financial assets;

Labor is immobile between countries but mobile within countries;

Financial capital is mobile within and between countries;

Physical capital is sector and country specific at any point in time and subject to adjustment costs over time.

Page 50: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Role of Money

Money is required for transactions between all agents. There is a technology that combines money with produced goods and services and the combined product is what is available in the market.

The supply of money is determined by the a central bank in each economy in conjunction with assumptions about the exchange rate regime.

Page 51: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Financial Markets

Financial markets exist for– Money– Government Bonds– Equity– Foreign Assets– Foreign Exchange

Each financial asset represents a claim over real resources– Money over purchasing power– Bonds are claims over future tax collections– Equity is a claim over the future dividend stream of a firm– Foreign assets are claims over the future exports of the

debtor country

Page 52: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Goods and Services Markets

Households, Firms and Governments trade goods and services and price for each is assumed to clear the markets at an annual frequency

Page 53: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Factor Markets

• Labor Markets Nominal wages are set by different institutional

structures in each country; Given the nominal wage and the market prices

for goods and services firms higher labor until the real wage in each sector equals the marginal product of labor;

Aggregate unemployment can result although over time it is assumed that unemployment tends to force the nominal wage towards the labor market clearing level.

Page 54: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Factor Markets

• Capital

once installed physical capital is costly to move;

Capital produces a flow of services for firms that have installed a capital stock through investment decisions in the past;

Investment is subject to rising marginal costs of installation and depreciation over time.

Page 55: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Factor Markets

• Energy and Materials in GCUBED Firms purchase the output of other sectors as

inputs in production; Total demand for the materials and energy sectors

is final demand plus demand for intermediate inputs in each sector;

In contrast to standard CGE models (which assume Leontieff fixed coefficients between intermediate inputs and value added ) there is a CES production technology which allows substitution of capital, labor energy and materials in production.

Page 56: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Recent Applications

Global Demographic Change (Japanese Govt, IMF) Economics of Infectious Diseases (WHO) Global trade policy (WTO) Macroeconomic imbalances Climate Change Policy

Page 57: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Part II

Page 58: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Trade Liberalization in a Dynamic Setting

by

Warwick J. McKibbin

Page 59: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Goals of the Paper

Explore the dynamic adjustment to a new WTO Round of Trade Liberalization from 2000 to 2010

Explore how this helps Asia Crisis economies relative to a direct transfer of foreign Aid from OECD economies

Explore the impact of incorporating an empirical model of endogenous total factor productivity growth ( Chand (1999))

Page 60: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The Asia Pacific G-Cubed Model

Dynamic, Intertemporal, General Equilibrium Multi-Country Multi-sectoral Macroeconomic Econometric Keynesian short run with unemployment Mix of rational & rule of thumb behavior

See WWW.GCUBED.COM

Page 61: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Key dynamic features

annual frequency physical capital is accumulation is endogenous but subject

to adjustment costs forward looking agents in goods, factor and financial

markets full accounting of stock flow relations combination of intertemporal optimization by agents plus

liquidity constraints sticky nominal wages

Page 62: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Some Important Issues

Trade, capital flows and adjustments in domestic financial markets are central to global adjustment to shocks;

Agents arbitrage between different assets within countries and across countries - taking into account the adjustment costs of changing the physical capital stock in each sector.

Page 63: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

What are Financial Assets?

Each financial asset represents a claim over real resources • Money over purchasing power • Bonds are claims over future tax collections• Equity is a claim over the future dividend stream of a firm • Foreign assets are a claim over the future exports of the debtor

country

Asset values embody expectations of future real activities

Page 64: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The Simulations

Page 65: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

A New Millenium Round

In 2000, it is announced that existing tariffs will be reduced by 1/3 from 2000 to 2010 in most countries

Tariffs on goods trade are based on the GTAP4 database (see Table 3a)

For services it is assumed there is a cost reduction based on work by Centre for International Economics (see Table 3b)

Page 66: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 1: Impact of a new WTO Round on Real GDP (OECD Economies)

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Page 67: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 2: Impact of a new WTO Round on Real GDP (non OECD)

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Page 68: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 3: Impact of a new WTO Round on Real Consumption (OECD Economies)

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Page 69: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 4: Impact of a new WTO Round on Real Consumption (non OECD)

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Page 70: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 5: Impact of a new WTO Round on Real Exports (OECD Economies)

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Page 71: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 6: Impact of a new WTO Round on Real Exports (non OECD)

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Page 72: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 7: Impact of a new WTO Round on Trade Balances (OECD Economies)

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Page 73: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 8: Impact of a new WTO Round on Trade Balances (non OECD)

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Page 74: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 9: Impact of a new WTO Round on Real Effective Exchange Rates (OECD Economies)

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Page 75: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 10: Impact of a new WTO Round on Real Effective Exchange Rates (non OECD)

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Page 76: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 11: Impact of a new WTO Round on Employment (OECD Economies)

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Page 77: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 12: Impact of a new WTO Round on Employment (non OECD)

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Page 78: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 13: Impact of a new WTO Round on Real Interest Rates (OECD Economies)

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Page 79: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 14: Impact of a new WTO Round on Real Interest Rates (non OECD)

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Page 80: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Summary

Largest gains to countries liberalizing most short run losses outweighed by long run gains trade impacts /exchange rate adjustments tend to be the

opposite in the short run relative to the medium run (role of intertemporal budget constraints)

Page 81: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Direct Aid to Asia Crisis Countries

Page 82: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Aid Simulation Indonesia, Korea, Thailand and Philippines receive a direct

transfer from the OECD economies such that:• The transfer declines by 10% per year after 2000• Receiving countries are no worse off in terms of the present value of

consumption than under the trade liberalization simulation.• Donor countries donate in proportion to their share of GDP in the

donor total

Page 83: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 15: Impact of Foreign Aid on Real GDP (OECD Economies)

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ROECD

Page 84: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 16: Impact of Foreign Aid on Real GDP (non OECD plus Korea)

-0.5

0

0.5

1

1.5

2

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020

% d

ev

iati

on

fro

m b

as

eli

ne Indonesia

Malaysia

Philippines

Singapore

Thailand

China

India

Taiwan

Hong Kong

Korea

Page 85: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 17: Impact of Foreign Aid on Real Consumption (OECD Economies)

-0.4

-0.35

-0.3

-0.25

-0.2

-0.15

-0.1

-0.05

01999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020

% d

ev

iati

on

fro

m b

as

e

USA

Japan

Australia

ROECD

Page 86: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 18: Impact of Foreign Aid on Real Consumption (non OECD plus Korea)

-4

-2

0

2

4

6

8

10

12

14

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020

% d

ev

iati

on

fro

m b

as

eli

ne Indonesia

Malaysia

Philippines

Singapore

Thailand

China

India

Taiwan

Hong Kong

Korea

Page 87: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Summary

Income transfer causes adjustment through the balance of payments

consumption of receiving countries rise consumption of donating countries fall trade liberalization is a better way to help crisis economies

Page 88: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Total factor productivity growth in manufacturing endogenous to the change

in tariffs (following the econometric results of

Satish Chand (1999)

Page 89: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 19: Impact with Endogenous Productivity on Real GDP (OECD Economies)

-0.5

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020

% d

ev

iati

on

fro

m b

as

e

USA

Japan

Australia

Korea

ROECD

Page 90: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 20: Impact with Endogenous Productivity on Real GDP (non OECD)

0

2

4

6

8

10

12

14

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020

% d

ev

iati

on

fro

m b

as

eli

ne Indonesia

Malaysia

Philippines

Singapore

Thailand

China

India

Taiwan

Hong Kong

Page 91: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 21: Impact with Endogenous Productivity on Real Consumption (OECD Economies)

-0.5

0

0.5

1

1.5

2

2.5

3

3.5

4

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020

% d

ev

iati

on

fro

m b

as

e

USA

Japan

Australia

Korea

ROECD

Page 92: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 22: Impact with Endogenous Productivity on Real Consumption (non OECD)

-5

0

5

10

15

20

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020

% d

ev

iati

on

fro

m b

as

eli

ne Indonesia

Malaysia

Philippines

Singapore

Thailand

China

India

Taiwan

Hong Kong

Page 93: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Summary

Making TFP growth endogenous to changes in tariff rates increases the gains from liberalization

But also accentuates the adjustment process through the balance of payments in the short run

Page 94: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Conclusion

Dynamics in the sense used in this paper adds a richer story to trade liberalization

In particular there are many problems - noticeable to policy makers in the real world - which need to be understood

Many short term results (over a decade) are the opposite of the long term neoclassical results that come from conventional CGE models.

Page 95: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Sensible Climate Policy

See “Uncertainty and Climate Change: The Challenge for Policy” Zillman, McKibbin and Kellow

www.assa.edu.au

Page 96: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Based on the book:

McKibbin W.J and P.J. Wilcoxen (2002) Climate Change Policy after Kyoto: A

Blueprint for a Realistic Approach

The Brookings Institution

www.notwrong.com

Page 97: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Overview

What is the climate change policy issue?• Managing Uncertainty in a sustainable way

Features of a Sustainable System What Has Been Done so far?

• The UN Framework Convention on Climate Change• The Kyoto Protocol

Fatal Problems with the Kyoto Protocol? An Alternative Approach: The McKibbin Wilcoxen Blueprint? Where to go from here?

Page 98: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

We need to distinguish between two separate questions:

• Should the world take action against the threat of climate change?

• Should the world implement the Kyoto Protocol?

Page 99: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

What is Climate policy about ?

• We know that carbon concentrations in the atmosphere have risen 30% since the industrial revolution.

• We know the science of the greenhouse effect.

Uncertainty is everywhere :Uncertainty is everywhere :

• UncertaintyUncertainty about link between carbon dioxide emissions and the timing and magnitude of climate change

• UncertaintyUncertainty about costs and benefits of climate change • UncertaintyUncertainty about costs and benefits of abatement

• UncertaintyUncertainty about the policy responses

Page 100: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 2.1: Global Carbon Dioxide Emissions, 1751-1998

0

1000

2000

3000

4000

5000

6000

7000

1750 1770 1790 1810 1830 1850 1870 1890 1910 1930 1950 1970 1990

Year

Page 101: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

 

Page 102: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Some Illustrations of the uncertainties

Page 103: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 2.7: Global Temperature Record, Vostok Ice Core Data

-12

-10

-8

-6

-4

-2

0

2

4

050,000100,000150,000200,000250,000300,000350,000400,000450,000

Years Before Present

Dif

fere

nce in

Mean

Tem

pera

ture

, C

Page 104: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 2.6: Emissions of Carbon Under IPCC Scenario A1B

7.1

15.9

26.6

22.9

17.9

7.1

12.1

18.718.0

13.4

7.1

9.6

13.013.5

16.4

0.0

5.0

10.0

15.0

20.0

25.0

30.0

1980 2000 2020 2040 2060 2080 2100 2120

Year

Gig

ato

ns o

f C

arb

on

(G

t)

AIM

ASF

IMAGE

MARIA

MESSAGE

MiniCAM

Page 105: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

What should be done given uncertainty?

Some proposals:• Do nothing

Problem may be small, avoiding it may be expensive (what if the problem is large and avoiding it is cheap?)

• Do something drasticProblem may be enormous, avoiding it may be cheap (what if the problem is small and avoiding it is expensive?)

A prudent policy would avoid extremes• Reduce emissions where possible at low cost

Page 106: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Features of a Sustainable System

• Extensive - all major carbon emitters need to participate

• Implementable in key countries• Equitable - across a range of dimensions• Efficient - minimum economic cost• Flexible - need to adjust as new information is

revealed• Low cost of implementation/administration• Must establish clear property rights over a long period of time to

provide the right incentives for all involved households, industry, governments

• Should be in all participants interest to commit current and future participants within each country involved

Page 107: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

What has been Done so far?

Page 108: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The UN Framework Convention on Climate Change

Negotiated at the Earth Summit in 1992 in Rio Set Goals (not targets)

• “preventing dangerous anthropogenic interference with the Earth’s climate system”

• Annex I countries (industrial countries) were to adopt policies to “aim” to reduce their emissions

• Entered into force in March 1994

Set in process a series of meetings of the “Conference of the Parties” (COP)

Page 109: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The Kyoto Protocol

Protocol to the 1992 UN framework Convention on Climate Change, negotiated at COP3 in 1997

Annex 1 countries agreed to reduce emissions of 6 greenhouse gases to 5.2% below 1990 levels on average between 2008 and 2012

No commitments for Developing Countries (countries such as China ratify but have no targets!)

Some flexibility allowed through • permit trading• clean development mechanism (CDM)• joint implementation

Page 110: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The Kyoto Protocol

legally binding if 55 countries accounting for 55% of developed country emissions ratify

USA and Australia have rejected Massive dilution of the original targets to encourage

countries such as Japan, Canada, NZ and Russia to ratify Russia is the key country that will determine if the Protocol

enters into force – Russia has put the ratification legislation to the Duma

Page 111: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Kyoto-style Permit Trading Emission permits are issued equal to the Annex 1 target Each country receives an allocation of permits Countries/firms

• buy permits if they wish to increase emissions • sell permits if they wish to reduce emissions

Trading allows original country targets to be tightened or relaxed depending on the costs• Abatement differs across countries depending on costs of

abatement relative to the price of permits• The permit price will be determined by demand and supply and will

equal the cost of preventing the emission of an additional unit of carbon

Page 112: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Advantages of Kyoto trading

Global target is met but differential country response allowed through the market

Cost of removing an additional unit of carbon is equal everywhere (efficient)

Compensation (across countries and within countries) can be built into the initial permit allocation

Page 113: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

A fundamental problem with targets and timetables

What is the correct target for each country and the world? What is the optimal period?

• targets impose unknown cost for given outcome for emissions

permit trading gives greater flexibility across countries but no flexibility in total

Problems With Kyoto Approach

Page 114: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Problems With Kyoto Approach

If costs are low we miss the opportunity to cut emissions quickly (in total) because we have a fixed target

If costs are high we might create severe problems that would destroy the commitment to Kyoto

Page 115: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Permit trading more widely implemented could cause economic and political problems with large wealth transfers between economies and large fluctuations in trade balances and real exchange rate

Some historical examples• Dutch Disease – e.g. North Sea Oil Discovery in 1970s• Keynes classic “transfer problem” related to German Reparations

after WWI

Problems With Kyoto Approach

Page 116: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

If one large country reneges the permit system would likely collapse since the price depends on all countries supply and demand

This requires a very strong monitoring and enforcement mechanism in all participating countries.

If developing countries participate in permit trading the price of carbon would be the same as in industrial countries – why would they want this structural shock even with payments for permits?

Problems With Kyoto Approach

Page 117: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Carbon taxes Subsidies to technologies Mandatory targets for renewables

Alternatives to permit trading?

Page 118: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

A carbon tax:

A fixed price for carbon with revenue going to the government

Emission outcome is unknown but the cost of carbon is known with certainty

Problems• Tax payments are enormous• If optimal reduction is 20% of emissions, firms must pay tax on 80%

of original output.

• Very unpopular with industry and politicians!

Page 119: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Subsidies for the Best Technology ?

Clean Coal? Renewables? Problem is that the solution will be technological

but are governments the best placed to pick the winners?• The subsidies will likely go to those with the greatest

lobbying power

Page 120: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Mandatory Targets for renewable energy

Evidence is that this is a high cost approach Targets and timetables approach yet again

Page 121: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Other options?

Reform coal markets (see Anderson and McKibbin (1998)

Address direct problem such as black carbon in developing countries

Page 122: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Black Carbon

Important issue particularly in developing countries• Significant short run climate impacts• Significant health impacts• Significant negative impacts on agriculture productivity

Major issue in China

Page 123: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Features

Released when carbonaceous fuels incompletely combust Hard to measure China is 17% of global emissions Mostly emitted by burning of raw coal, coal briquettes and

bio-fuels in the residential sector

Page 124: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Sources of Black Carbon in China

Residential83%

Industry7%

Power1%

Transport - diesel3%

Transport - other0%

Field Combustion6%

Source: Table 2 page 7 of Streets (2004)

Page 125: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Are there any other alternatives?

Need a policy with best features of permits, taxes and subsidies

Like a tax:• Should guarantee that costs won’t be excessive

Like permits:• Should avoid huge transfers to the government

Like subsidies:• it should encourage the search for technological solutions

Importantly it should make property rights clear over a long period and provide incentives for industry,households and governments to reduce emissions at low cost

Page 126: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The Blueprint (a hybrid policy) Each participating country would:

• Require that producers of energy within their borders have an annual emission permit for each ton of carbon embodied in their energy produced and sold domestically or imported

• Issue perpetual emissions permits equal to a specified fraction of a base period emissions.

• Be allowed to sell additional annual permits to firms within its borders at a stipulated price ($P per ton of carbon), where $P could be $US10 per ton of Carbon ($US2.72 per ton of CO2).

• Create domestic markets in the perpetual and annual permits

Page 127: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

PerpetualPermit

Looking at the policy in more detail:

Allows one unit of emission per year for a long period

Distributed once at enactment Can be leased or sold within a country Quantity can set by treaty: QT

Price will be set by the market

AnnualPermit

Allows one unit for one year Sold by government as demanded Price set by treaty: PT

Page 128: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Supply of each type of permit (for use in a given year)

$

SS

QP

Annual permits for sale

PT

Perpetual permits for lease

SL $

QP QT

Page 129: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Overall supply of permits (for use in a given year)

S

$

QP

PT

QT

Page 130: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

If abatement is easy:

MAC rise slowly Low D for permits P below threshold No annual permits Hit target QT

S

$

Q Permits

D P

PT

QT

Revenue to permit owners

Page 131: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

If abatement is difficult:

MAC rises rapidly High D for permits P at threshold PT

Annual permits used Emissions exceed QT

S

$

Q Permits

D

P, PT

QT

QA

Revenue to permit owners

Revenue to government

Page 132: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Key Points

Each system is run within a country using that country’s own imperfect monitoring and enforcement mechanisms and its own legal and accounting systems

No international trade in the assets • only domestic markets• Short run efficiency guaranteed by a common price• Long run efficiency driven by structural change

Incentives for all actors are internalized within countries

Page 133: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Developing Countries ...

Negotiate a perpetual permit allocation that is larger than current emissions

Price of annual emission permits zero in the short run because more permits than needed

Price of perpetual emission permits will be non zero giving important signals for investment projects

Over time the permit price in countries will equalize as developing countries “ability to pay rises”

Page 134: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Example from

“ Climate Change Policy For India”

Page 135: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 6: Stylized Annual Permit Price

0

20

40

60

80

100

120

140

160

2003

2007

2011

2015

2019

2023

2027

2031

2035

2039

2043

2047

2051

2055

2059

2063

2067

2071

2075

2079

2083

2087

2091

2095

2099

$US

200

2

Annex B

India

Page 136: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 7: Stylized Value of Perpetual Permits(Assuming r=5%)

0

500

1000

1500

2000

2500

3000

2003

2007

2011

2015

2019

2023

2027

2031

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2039

2043

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2055

2059

2063

2067

2071

2075

2079

2083

2087

2091

2095

2099

$US

200

2

Annex B

India

Page 137: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Developing Countries ...

Will developing countries ever agree?• Depends on who is expected to get the valuable assets

called permits• Will they ever agree to Kyoto style interventions?

Page 138: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Advantages of the Blueprint policy

Guarantees that compliance costs would not be too high• Passes the test that Kyoto fails

Can be justified on cost-benefit grounds• Current knowledge about climate risks justifies slowing emissions at

low cost

Page 139: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Advantages of the Blueprint policy

Avoids huge transfers to the government• Each government can decide how to hand out perpetual permits but

once these property rights are distributed they are not revisited (like land contracts)

• Permits act as transition relief for industries (and affected workers) and will reduce opposition

• Also, easy for industry to understand -- like grandfathering

Reduces emissions wherever cost-effective• Prudent: eliminates emissions where possible below a fixed price

Page 140: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

More advantages ...

Maintains national sovereignty• Important for US and developing country participation

Incorporates an explicit mechanism for developing country commitments with no short term costs but clear incentives for future investment in less carbon intensive activities

Provides a futures market (perpetual permit market)• Allows individual risk management

Page 141: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

More advantages ...

No direct international transfers of wealth• Trading is national, rather than international• Less disruptive to exchange rates and foreign aid

budgets

Gives incentives for early action• Perpetual permits could be distributed now, even without

a treaty!• The private sector is already doing this but property

rights unclear

Page 142: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

More advantages ...

Built-in incentives to monitor and enforce• Annual permits generate government revenue• Owners of perpetual permits do not want permit prices to

erode

Credible• Less draconian so more likely to be enforced into the

future

Page 143: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Still more advantages ...

Relatively easy to modify as information arrives• Can raise or lower the world price as risks become better

known

Easy to add countries over time• Does not require re-negotiation of treaty• New countries don’t hurt existing permit owners

Creates a future market in carbon (the perpetual permit market)• Gives a long term price signal but with a fixed short term cost

Page 144: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

An Illustration of how Uncertainty impacts on the costs

of Kyoto versus Blueprint

Suppose Russia grows at 1% per year faster from 2000 to 2012 than our baseline forecast (4.4% rather than 3.3%)

What is the cost of Kyoto versus the Blueprint under the baseline scenario versus the alternative scenario of higher Russian growth?

Both Kyoto and the Blueprint assume non participation by developing countries even though the Blueprint has a clear mechanism for getting developing country participation!

Page 145: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The G-Cubed Model• Countries

United States Japan Australia New Zealand Canada Europe Rest of OECD Brazil Rest of Latin America China India Eastern Europe and Former Soviet Union Oil Exporting Developing Countries Other non Oil Exporting Developing Countries

Page 146: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

The G-Cubed Model• Sectors

– Electric Utilities– Gas Utilities– Petroleum Refining– Coal Mining– Crude Oil and Gas Extraction– Other Mining– Agriculture, Fishing and Hunting– Forestry and Wood Products– Durable Manufacturing– Non Durable Manufacturing– Transportation– Services

Page 147: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Figure 1: Cumulative World Carbon Emissions1999-2015

100000

110000

120000

130000

Unconstrained Kyoto Blueprint

mmt of carbon

BAU Russian growth High Russian growth

Page 148: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Europe

-1.6

-1.2

-0.8

-0.4

0.0

1999 2004 2009 2014 2019 2024

OPEC

-2.8

-2.4

-2.0

-1.6

-1.2

-0.8

-0.4

0.0

1999 2004 2009 2014 2019 2024

Strong Russian Growth - BlueprintMod Russian Growth - Blueprint

Strong Russian Growth - KyotoMod Russian Growth - Kyoto x

Change in GNP:

Page 149: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Change in GNP under KyotoAlternative Russian Growth Assumptions

-0.8

-0.6

-0.4

-0.2

0.0

0.2

0.4

1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 2019 2021 2023 2025

US Japan

Europe Australia

Russia China

LDC OPEC

% pts

Page 150: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

GNP under MWAlternative Russian Growth Assumptions

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 2019 2021 2023 2025

US Japan

Europe Australia

Russia China

LDC OPEC

% pts

Page 151: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Where to go from here?

The current approach as embodied in the Kyoto protocol does not deal with uncertainty and is not sustainable

The Blueprint dominates in terms of• the extent of emissions reductions; • risk management; • sustainability.

The Blueprint can be implemented within countries and is consistent with moving towards Kyoto if a country ever wanted to.• Just have the government pull out of the annual permit market and

allow these asset to be traded internationally

Page 152: Warwick J McKibbin ANU Centre for Applied Macroeconomic Analysis (CAMA)

Background Papers

www.sensiblepolicy.com

www.notwrong.com