An efficient coal de-capacity quota allocation scheme is key for accelerating China's coal supplyside structure reform.This paper allocates the coal de-capacity quota from the perspective of efficiency to seek the...An efficient coal de-capacity quota allocation scheme is key for accelerating China's coal supplyside structure reform.This paper allocates the coal de-capacity quota from the perspective of efficiency to seek the optimal capacity allocation in each Chinese province.First,we estimate the coal capacity of 24 coal-producing provinces based on boundary production function model.According to the actual coal overcapacity in each province,we initially allocate the coal decapacity quota of reducing 0.8 billion tons among them.Then,we optimize the initial allocation plan by using the zero-sum gains data envelopment model(ZSG-DEA)considering backward coal capacity,coal economic output,and coal resource endowment of each province.The results indicate that:First,there is coal overcapacity all over China,and there are obvious differences among the provinces.Second,the optimal allocation results show that the large coal producing provinces,including Shanxi,Inter Mongolia,Shaanxi,etc.,need to undertake most of the coal decapacity tasks,while the old coal producing provinces in northeast and west China should undertake a heavier burden of coal de-capacity.Third,the“one-size fits-all”approach burdens the small coal producing provinces with reducing coal capacity,leading to a general low enthusiasm for coal de-capacity in these regions.展开更多
科学合理的风光电力消纳配额分配是中国可再生能源配额制成功实施的关键。本文旨在提出一种兼顾公平和效率的风光电力消纳配额分配方案,以期促进风光发电产业发展和区域经济均衡发展。首先,测算中国在2025年非化石能源占比约束下的风光...科学合理的风光电力消纳配额分配是中国可再生能源配额制成功实施的关键。本文旨在提出一种兼顾公平和效率的风光电力消纳配额分配方案,以期促进风光发电产业发展和区域经济均衡发展。首先,测算中国在2025年非化石能源占比约束下的风光电力消纳总量;其次,构建基于改进零和数据包络分析(Zero Sum Gain Data Envelopment Analysis,ZSG-DEA)的风光电力配额分配模型,实现省级风光电力消纳配额的分配;最后,采用基尼系数评估分配方案的公平性。研究结果表明,(1)中国2025年需要消纳风光电力16473−16759亿千瓦时,才能完成非化石能源占比20%的目标;(2)在兼顾公平和效率的分配原则下,东南沿海地区需要消纳更多的风光电力;(3)分配实现DEA有效,且基尼系数为0.2312,达到比较公平的水平。本研究为中国政策制定者科学合理设置非水可再生能源电力消纳责任权重提供参考依据,为成功实施可再生能源配额制提供保障。展开更多
基金The authors are grateful to the financial support provided by the National Natural Science Foundation of China[Grant number:71471042].
文摘An efficient coal de-capacity quota allocation scheme is key for accelerating China's coal supplyside structure reform.This paper allocates the coal de-capacity quota from the perspective of efficiency to seek the optimal capacity allocation in each Chinese province.First,we estimate the coal capacity of 24 coal-producing provinces based on boundary production function model.According to the actual coal overcapacity in each province,we initially allocate the coal decapacity quota of reducing 0.8 billion tons among them.Then,we optimize the initial allocation plan by using the zero-sum gains data envelopment model(ZSG-DEA)considering backward coal capacity,coal economic output,and coal resource endowment of each province.The results indicate that:First,there is coal overcapacity all over China,and there are obvious differences among the provinces.Second,the optimal allocation results show that the large coal producing provinces,including Shanxi,Inter Mongolia,Shaanxi,etc.,need to undertake most of the coal decapacity tasks,while the old coal producing provinces in northeast and west China should undertake a heavier burden of coal de-capacity.Third,the“one-size fits-all”approach burdens the small coal producing provinces with reducing coal capacity,leading to a general low enthusiasm for coal de-capacity in these regions.
文摘科学合理的风光电力消纳配额分配是中国可再生能源配额制成功实施的关键。本文旨在提出一种兼顾公平和效率的风光电力消纳配额分配方案,以期促进风光发电产业发展和区域经济均衡发展。首先,测算中国在2025年非化石能源占比约束下的风光电力消纳总量;其次,构建基于改进零和数据包络分析(Zero Sum Gain Data Envelopment Analysis,ZSG-DEA)的风光电力配额分配模型,实现省级风光电力消纳配额的分配;最后,采用基尼系数评估分配方案的公平性。研究结果表明,(1)中国2025年需要消纳风光电力16473−16759亿千瓦时,才能完成非化石能源占比20%的目标;(2)在兼顾公平和效率的分配原则下,东南沿海地区需要消纳更多的风光电力;(3)分配实现DEA有效,且基尼系数为0.2312,达到比较公平的水平。本研究为中国政策制定者科学合理设置非水可再生能源电力消纳责任权重提供参考依据,为成功实施可再生能源配额制提供保障。
