WorldScan

WorldScan is a multi-region, multi-sector, applied general equilibrium (AGE) model, which focuses on long-term growth and trade in the world economy. The model is based on the neoclassical theories of growth and trade. The theory and structure of AGE models are discussed in Starr (1997), Ginsburgh and Keijzer (1997), Shoven and Whalley (1992) and Francois and Reinert (1997).

An extensive description of the core version of WorldScan can be found in CPB (1999). Because the emission of CO2, the most important greenhouse gas, is directly related to the use of fossil fuels (coal, oil and gas), energy is one of the main linkages between the economy and the environment / climate. The energy version of WorldScan is an extension of the core version with a detailed modelling of the energy sector. It is designed to analyze climate change policies, particularly those on CO2-abatement policies.

WorldScan distinguishes 12 world regions, and 11 sectors, including 4 for energy-supply (coal, oil, gas and electricity) which allows for substitution between different energy carriers. The distinction among industrialized countries, countries in transition (Annex B) and less industrialized countries (non-Annex B) is particularly relevant for the analysis of climate change policy.

Regions in WorldScan

Annex B countries

Non-Annex B countries

OECD countries Asia
United States China
Western Europe Dynamic Asian Economies
Japan India and Rest of the World
Rest of OECD Rest of the world
Eastern Europe and Former Soviet Union Middle East and North Africa
Eastern Europe Subsaharan Africa
Former Soviet Union Latin America

Sectors in WorldScan

Materials
Agriculture and foodstuffs
Energy-intensive goods
Consumption goods
Capital goods and durables
Domestic services
International services and transport
Other raw materials

Energy carriers in WorldScan

Coal
Oil and petroleum products
Natural gas
Electricity

WorldScan uses demand, production, trade patterns, labour and capital intensity of the various sectors, and volumes and prices of energy from the GTAP4E data (McDougall et al, 1998). The calibration year is 1995. The model is run in 5-year steps to keep computing time within reasonable limits.

Within the IMAGE framework, WorldScan generates key economic variables used in the energy model TIMER, the emission model of TIMER and the terrestrial environment system (TES). The relevant input and output variables of WorldScan include:

input

  • Population age cohorts

output

  • Regional gross domestic product (GDP)
  • Value added for industry, services and agriculture sectors

WorldScan contains four characteristic elements to describe long-term developments:

  1. The Armington trade specification, which includes elasticities describing the preference for consumption of domestically over internationally produced goods. WorldScan assumes a low short-term and higher long-term Armington elasticity, emphasizing the Law-of-one price in the long run (see scenario assumptions - economy).
  2. A low-productivity sector in less-industrialized countries. During the process of economic development labour is reallocated from the traditional low-productivity sector to the modern, high productivity sectors.
  3. Consumption patterns are not constant in time. The consumption patterns in less-industrialized regions converge towards those in leading regions. As income per capita rises, consumers spend relatively more on services and less on food.
  4. Low and high-skilled labour. This distinction allows for a better description of specialization patterns. OECD countries with much high-skilled labour specialize in the production of skill-intensive goods, while non-OECD countries relatively abundant in low-skilled labour specialize in skill-extensive goods.

The behaviour of consumers, firms, informal sector, and labour and capital markets are briefly described below:


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