Literature review Directory UMM :Data Elmu:jurnal:E:Energy Economics:Vol23.Issue2.2001:

T. Chen r Energy Economics 23 2001 141᎐151 142 international cooperation for achieving such reductions in June 1992. These countries officially addressed an international target to stabilize CO emissions at 2 the 1990 level by the year 2000 among the 36 Annex I countries. 1 The second Ž . Assessment Report of the Intergovernmental Panel on Climate Change IPCC , approved in December 1995. It acknowledge that global CO emissions should be 2 less than 50 of current levels in order to stabilize CO atmospheric concentra- 2 tions, and that the Annex I countries should make an effort to limit and reduce their emissions within a given time frame. Furthermore, a legal grounding was Ž . agreed upon at the convention of parties COP III meeting in Kyoto, Japan, in December 1997, to acknowledge that global CO gas emissions should be reduced 2 by 5.2 of 1990 levels among 38 industrialized countries. COP III also demanded that all developing countries should be included in CO emission reduction efforts; 2 this will be discussed in the next COP IV. Basically, Taiwan must pay close attention to the issue of global environmental change because the international trade plays a critical role on Taiwan’s economy. By the end of 1996, total CO emissions in Taiwan were 171 = 10 6 tons. Projected 2 CO emissions in 2000 will reach 236 = 10 6 tons, which is 203 of the 1990 level 2 Ž 6 . 116 = 10 tons . From 1990 to 2000, the average growth rate of CO emissions will 2 be 7.1. This Taiwan government may initiate relevant policy actions in the foreseeable future to fulfill its global responsibility in reducing production of CO , 2 which contributes to the greenhouse effect. With this in mind, it is important to understand the current progress of advanced countries in implementing such policy actions and to simulate the impact of domestic measures to reduce greenhouse CO2 emissions on Taiwan’s economy. In this paper, we use a multi-objective programming to estimate the trade-off between GDP and CO emissions in Taiwan. In order to achieve this objective, 2 relevant literature is first reviewed. A multi-objective programming coupled with an input᎐output model is constructed to evaluate the economic impact of reducing CO emissions on the Taiwan economy as a whole. Empirical data are collected 2 and various options for mitigating industrial CO emissions are simulated. Based 2 on the simulation, policy implications are discussed and some suggested for the future research are recommended.

2. Literature review

Ž . As to the previous studies, Loucks 1975 addressed multi-objective programming within resource utilization and economic development decisions, with each ob- 1 The Annex I countries include 38 countriesrregional integration organizations, namely: Australia, Austria, Belarus, Belgium, Bulgaria, Canada, the Czech Republic, Denmark, the European Economic Community, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Latvia, Lithuania, Luxembourg, Monaco, the Netherlands, New Zealand, Norway, Poland, Portugal, Romania, the Russian Federation, Slovakia, Spain, Sweden, Switzerland, Turkey, Ukraine, the United Kingdom and the United States. Taiwan has not been listed in the list of Annex I countries. T. Chen r Energy Economics 23 2001 141᎐151 143 Ž . jective being a trade-off itself. Hafkamp and Nijkamp 1982 presented a multi- objective programming approach and applied it to the issue of integrated resource planning. They argued that a single-objective model cannot assess social welfare Ž . changes accurately. Nijkamp 1986 employed multi-objective approach to evaluate Ž . the policy impact of resource allocation. Nordhous 1992 and Morrison and Brink Ž . 1993 conducted two surveys to present the economic costs of mitigating climate change. Among the programming model on the mitigation of CO emissions, four papers 2 Ž . are reviewed here. Manne and Richels 1991 established a Global 2100 model, which is a programming analysis, to evaluate the costs and benefits of controlling Ž . CO emissions for the US. Rose and Steven 1993 presented a non-linear 2 programming model to simulate the net welfare changes of various strategies for Ž . the mitigation of CO emissions for eight countries. Fells and Woolhouse 1994 2 provided an optimization model to estimate the impact of mitigating CO emis- 2 Ž . sions on economic growth in the UK. Finally, Rose 1995 provided a linear-pro- gramming model to evaluate reduction in GDP resulting from five proposed CO 2 emissions mitigation programs in Mainland China.

3. The multi-objective programming model