Analysis on Inter-regional Differences of Carbon Emissions and Loss and Profit Deviation in China

Abstract

Abstract:

In this paper, China's 30 provinces and autonomous regions are classified into resource-based regions and non-resource-based regions from the industrial perspective. The inter-regional differences in carbon emissions are calculated by the classical methods of inequality measure. The loss and profit deviation of carbon emissions in resource-based regions is measured through economic coefficient and ecological damage coefficient. More research references for equitable development of the region could be provided. The results show that CO₂ emissions per capita and CO₂ emissions intensity in the resource-based regions are higher than that in the non-resource-based regions and the average value in the whole nation, but the GDP per capita is low in the resource-based regions. Furthermore, China's regional distribution of CO₂ emissions is more inequal than that of income. Carbon emission differences also exist in internal resource-based rationales. In addition, the loss and profit deviation coefficient of resource-based regions is about 0.2, which indicates that there is a serious deviation from the loss and profit of carbon emissions in the region. The conclusions confirm the phenomenon of regional inequalities of carbon emission. The national government should take full account of regional differences in carbon emissions to ensure the sustainable development of resource-based regions. Meanwhile, the economic development of resource-based regions needs upgrading.

Key words: carbon emission, fairness, loss and profit deviation, resource-based industry

Sun Hui, Liu Yuanyuan. Analysis on Inter-regional Differences of Carbon Emissions and Loss and Profit Deviation in China[J]. , 2016, 28(10): 89-96.

References

[1] Bruce J. P., Haltes Y. H., Climate E. F. Change 1995:Economic and Social Dimensions of Climate Change[M]. Cambridge:Cambridge University Press, 1996
[2] Heil M. T., Wodon Q. T. Inequality in CO₂ Emissions between Poor and Rich Countries[J]. The Journal of Environment and Development, 1997,27(6):426-452
[3] Heil M. T., Wodon Q. T. Future Inequality in CO₂ Emissions and The Impact of Abatement Proposals[J]. Environmental and Resource Economics, 2000,58(17):163-181
[4] Alcantara V., Duro J. Inequity of Energy Intensities across OECD Countries:A Note[J]. Energy Policy, 2004,101(32):1257-1260
[5] Duro J. A., Padilla E. Inequity Across Countries in Energy Intensities:An Analysis of The Role of Energy Transformation and Final Energy Consumption[J]. Energy Economics, 2011,113(33):474-479
[6] Groot L. Carbon Lorenz Curves[J]. Resource and Energy Economics, 2010,134(32):45-64
[7] Carvalho T. S., Santiago F. S., Perobelli F. S. International Trade and Emissions:The Case of The Minas Gerais State[J]. Energy Economics, 2013,115(40):383-395
[8] Martin J. C., Becuwe S. Regionalizing The Results of A National Structural Decomposition Analysis of Greenhouse Gas Emissions:An Application to Aquitaine Region[J]. Environ Model Assess, 2014,48(19):257-269
[9] Gonzalez T. The Driving Forces behind Changes in CO₂ Emission Levels in EU-27. Differences between Member States[J]. Environmental Science and Policy, 2014,79(38):11-16
[10] Ryoji H., Shigemi K., Makiko T. Carbon Footprint Analysis Through Constructing A Multi-Region Input-Output Table:A Case Study of Japan[J]. Economic Structures, 2015,66(5):78-97
[11] Arild U., Wei T. Distributive Fairness:A Mutual Recognition Approach[J]. Environmental Science and Policy, 2015,80(5):35-44
[12] 王群伟,周鹏,周德群.我国二氧化碳绩效的动态变化、区域差异及影响[J]. 中国工业经济, 2010,(1):45-54
[13] 武红等.中国化石能源消费碳排放与经济增长关系研究[J]. 自然资源学报, 2013,28(3):381-389
[14] 刘宇,蔡松峰,张其仔.2025年、2030年和2040年中国二氧化碳排放达峰的经济影响——基于动态GTAP-E模型[J]. 管理评论, 2014,26(12):3-9
[15] 何有世,王玉龙.产业发展与碳排放的协整性与因果关系分析[J]. 统计与决策, 2012,(20):106-108
[16] 孙慧,刘媛媛.资源型产业碳排放强度变动及贡献因素分析[J]. 开发研究, 2013,(5):42-45
[17] 谢晶晶,窦祥胜.基于合作博弈的碳配额交易价格形成机制研究[J]. 管理评论, 2016,28(2):17-26
[18] 吴洁,范英,夏炎,刘婧宇.碳配额初始分配方式对我国省区宏观经济及行业竞争力的影响[J]. 管理评论, 2015,27(12):18-26
[19] 邓荣荣,陈鸣.中美贸易的隐含碳排放研究——基于I-OSDA模型的分析[J]. 管理评论, 2014,26(9):46-57
[20] 庞军,石媛昌,谢希,高笑默.基于MRIO模型的中美欧日贸易隐含碳特点对比分析[J]. 气候变化研究进展, 2015,11(3):212-219
[21] 傅晶晶.新兴油气资源城市可持续发展的路径选择[J]. 云南民族大学学报(哲学社会科学版), 2013,30(5):118-123