英文摘要 |
'Regulations for Periodic Regulatory Goals and Approaches of the Greenhouse Gas Emissions'', issued by Taiwan's Environmental Protection Administration, indicate that the central competent authority shall consult with the central industry competent authorities to determine the national greenhouse gas (GHG) emission trend projection principles and parameters as well as to project GHG emission trends and to provide scenario analysis. The major purpose of this study is to establish the methodology and provide the baseline forecasting and related policy simulations of greenhouse gas emissions in Taiwan's agricultural sector. We use the dynamic computable general equilibrium (CGE) modularization system-GEMTEE (General Equilibrium Model for Taiwan Economy and Environment), developed jointly by the Centre for Sustainability Science, Academia Sinica and the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). The GEMTEE modularization system is applied in the agricultural sector for considering the future economic growth and agricultural policy objectives of Taiwan, forecasting the future GHG emission trends of the agricultural sector, and evaluating its impact on the economic, energy, social and environmental aspects via experts' consultation workshops. Based on the 2017 Taiwan Greenhouse Gas Inventory Report, the GHG emission of the agricultural sector is divided into two categories: fuel and electricity consumption in agriculture, forestry, fishery, and animal husbandry (referred to as fuel combustion) and non-fuel combustion with the sources of emissions mainly being methane and nitrous oxide produced by agricultural production activities, livestock gastrointestinal fermentation and excreta treatment. Moreover, we consider the design of two scenarios, which are (1) the baseline scenario: considering the current planned agricultural policy only; (2) policy scenario: increasing the self-sufficiency rate of food to 40%, and assessing its GHG emission trends. Another feature of this paper is the ''bottom-up'' approach. Through experts' consultation workshops (including experts on agriculture, forestry, fishery and animal husbandry), we discuss different scenario designs and jointly review the basic data set. Parameter calibration is carried out, which makes the future trend of GHG emission in the agricultural sector reasonable and realistic. |