ABSTRACT
As one of the most challenging environment issues worldwide, climate change has posed a serious threat to habitat, species, and people's livelihoods. In this study, a sector-disaggregated cross-regional emission analysis model is developed to systematically analyze enviro-economic effects of sector-level carbon mitigation efforts from both production and consumption perspectives for supporting climate change-related policymaking. A special case study of Hubei Province, China, is conducted to demonstrate the potential benefits of its use in the climate change related policymaking field. The power generation sector has been disaggregated into five subsectors based on different power generation technologies to help investigate the potential of such technologies to carbon emission mitigations. The carbon mitigation policy scenarios from both industry optimization and demand substitute perspectives will further be explored to provide bases for decision makers to formulate the desired carbon mitigation policy aimed at different regions and sectors. Results indicate that dominant direct and indirect CO2 emissions in Hubei Province are from the Production and supply of fossil-fuel power sector and Construction sector, respectively. When industry optimization policies on the fossil-fuel power sector (in Hubei), there are significant effects on the CO2 emission mitigation whichever regions. Therefore, industry optimization policies are suggested for implementation in specific sectors with close intersectoral/interprovince trade contacts and significant emissions to achieve joint carbon emission mitigations.
ABSTRACT
With the rapid growth of the economy, there are increasing conflicts between economic development and environmental protection. Among these conflicts, the wastewater emission management as one of the significant ways to alleviate water scarcity has been paid increasing attention across the developing countries, such as China. It is thus essential to comprehensively investigate the enviro-economic effects induced by wastewater-related policies. In this study, a factorial emission-focused general equilibrium model (FEGE) is first developed to facilitate examine the composite enviro-economic effects of multiple policy scenarios with regards to wastewater-related environmental taxes and the related subsides. A special case study for the Municipality of Chongqing, China, is conducted to illustrate the potential benefits of its use in the formulation of wastewater-related policies. It is found that the impacts of various wastewater-related policies (i.e., environmental taxes and the related subside) on GDP are different. In detail, green tax policies on GDP are negative, while wastewater emission intensity (WEI) improvement policies on GDP are positive. When green tax reaches 14 yuan/tonne, which is the maximum proposed by the Chinese government, the GDP will drop by 0.37%, which would be deemed acceptable for the Municipality of Chongqing. In addition, the impacts on rural households' consumption are greater than those on urban households' consumption whichever the application of wastewater-related policies; it is because the rural households in the Municipality of Chongqing have a relatively unitary income source. It is thus recommended that the rural household in Chongqing should be paid more attention. For example, some extra allowances could be considered to the rural household to help them cope with the negative economic impacts induced by a new environmental policy. It is expected that the outputs would provide bases for formulating desired wastewater-related policies.
Subject(s)
Environmental Policy , Taxes , China , Cities , Family CharacteristicsABSTRACT
Industrial water-management policies are prevalent around the world to alleviate global water scarcity. It is indispensable to simulate the effects of different water-management policies on various industries in the socioeconomic system to explore the most effective water consumption reduction pathways. In this study, a factorial water policy simulation model is developed to investigate the composite effects of multidimensional interactive water-management policies from both production and consumption perspectives. Structural path analysis and factorial analysis are introduced simultaneously to help support policy formulation according to local reality and further examine the impacts of the main factors and their interactions respectively. The developed model has been applied to the Municipality of Chongqing, China to demonstrate the applicability and superiority of the factorial water policy simulation model. It was found that the impacts of industrial technology upgrade policies on different industries vary significantly. The consumption-orientation policies have a similar performance on direct water consumption reductions. In the Municipality of Chongqing, industrial technology upgrade policies applied to the primary industry will generate larger reductions of water consumption (i.e., 10.1 units reduction of total water consumption) in the system since the primary industry can influence other industries through intermediate utilization. The contribution of interactions for the reductions of direct water consumption was 10.38%, where policies implemented on the primary industry and construction industry have the most significant interaction. In addition, the industry of production and supply of water is closely related to most of the industries since its technical improved can reduce the indirect water consumption of the majority of industries. The results provide bases for supporting the Municipality's efforts in formulating desired water-management policies.