Research on the Measurement of China's Interregional Carbon Linkage based on MRIO Model
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摘要:中国作为世界上最大的CO2排放国,减排压力巨大;为实现政府制定的减排目标,需要对区域间碳关联进行研究,从而对各区域制定差别化的减排策略。运用多区域投入产出(MRIO)模型,利用2007年中国区域间投入产出表,将中国分为东部、中部和西部3个区域,从乘数效应、溢出效应和反馈效应的视角对中国区域间碳关联进行研究。研究结果显示:东部区域的区域内碳排放乘数效应明显弱于中部与西部区域;东部与西部区域对中部区域的溢出效应明显强于中部与西部区域对东部区域的溢出效应;区域间碳排放反馈效应很小,各区域差距也较小;能源直接消耗部门的总效应值远超其他部门。在研究结论的基础上,从区域和部门角度对中国碳减排问题提出政策建议。Abstract:China as the world's largest CO2 emitter has thus far been undergoing acute pressure of carbon mitigation. To achieve emission-reduction targets set by the government, it's necessary to analyze inter-regional carbon linkage of China, and thus to develop differentiation strategies to reduce carbon emissions. By building the Multi-Regional Input-Output(MRIO)Model and using China's regional input-output table 2007, this study investigates the inter-regional carbon linkage of China from the perspective of inner-regional carbon emission multiplier effect, inter-regional carbon emission spillover and feedback effects, by dividing China into three regions, namely East, Central and West. Results show that the inner-regional carbon emissions multiplier effect of the East region is significantly weaker than that of the Central and West regions; the inter-regional carbon emissions spillover effect of the East and West regions on the Central region is much stronger than that of the Central and West regions on the East region; the inter-regional carbon emissions feedback effect is very small and so is the regional gap; the total effects of energy-intensive sector far exceeds that of the rest of sectors. The policy implications on China's carbon-mitigation issue from both regional and sector levels are also discussed finally.
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Key words:
- carbon linkage/
- multiplier effect/
- spillover effect/
- feedback effect/
- MRIO model
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[1] LI H,WEI Y M. Is it possible for China to reduce its total CO2emissions?[J]. Energy,2015,83(4):438-446. [2] MILLER R E. Comments on the "general equilibrium" model of professor moses[J]. Metroeconomica,1963,15(2,3):82-88. [3] ROUND J I. Decomposing multipliers for economic systems involving regional and world trade[J]. The Economic Journal,1985,95(6):383-399. [4] SONIS M,OOSTERHAVEN J,HEWINGS G J D. Spatial economic structure and structural changes in the EC:feedback loop input-output analysis[J]. Economic Systems Research. 1993,5(2):173-184. [5] SONIS M,HEWINGS G J D. Miyazawa's contributions to understanding economic structure:interpretation,evaluation and extensions[M]. Springer Berlin Heidelberg,1999:13-51. [6] 潘文卿,李子奈. 中国沿海与内陆间经济影响的反馈与溢出效应[J]. 经济研究,2007(5):68-77. [7] 吴福象,朱蕾. 中国三大地带间的产业关联及其溢出和反馈效应:基于多区域投入——产出分析技术的实证研究[J]. 南开经济研究,2010(5):140-152. [8] 余典范,干春晖,郑若谷. 中国产业结构的关联特征分析:基于投入产出结构分解技术的实证研究[J]. 中国工业经济,2011(11):5-15. [9] 李惠娟. 中国三大经济区间服务业溢出和反馈效应——基于三区域间投入产出分析的视角[J]. 当代财经,2014(6):102-110. [10] 王铮,邓悦,葛昭攀,等. 理论经济地理学[M]. 北京:科学出版社,2002. [11] 徐盈之,胡永舜. 中国制造业部门碳排放的差异分析:基于投入产出模型的分解研究[J]. 软科学,2011(4):69-75. [12] GUO J E,ZHAN Z K,MENG L. China's provincial CO2emissions embodied in international and interprovincial trade[J]. Energy Policy,2012,42:486-497. [13] ZHANG Z K,GUO J E,HEWINGS G J D. The effects of direct trade within China on regional and national CO2emissions[J]. Energy Economics,2014,46:161-175. [14] 唐志鹏,刘卫东,公丕萍. 出口对中国区域碳排放影响的空间效应测度——基于1997-2007年区域间投入产出表的实证分析[J].地理学报,2014(10):1403-1413. [15] LIU H G,LIU W D,FAN X M,ZOU W. Carbon emissions embodied in demand-supply chains in China[J]. Energy Economics,2015,50:294-305. [16] 孙志娜. 中国对外贸易中的环境成本与收益——基于多区域投入产出(MRIO)模型的实证研究[D]. 厦门:厦门大学,2012. [17] MILLER R E,BLAIR P D. Input-output analysis:foundations and extensions[M]. UK:Cambridge University Press,2009:91-96. [18] 潘文卿. 中国沿海与内陆间经济影响的溢出与反馈效应[J]. 统计研究,2012,29(10):30-38. [19] 彭连清,吴超林. 我国区域经济增长溢出效应比较分析——以东、中、西部三大地区为例[J]. 西部商业评论,2009(1):28-38. -
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