地方政府土地出让干预对区域工业碳排放影响的对比分析——以中国8大经济区为例

doi:10.18306/dlkxjz.2020.09.002

Abstract

Abstract:

Examining the difference in the impact of regional government intervention on carbon emissions is of great significance for China to promote carbon emission reduction strategies and coordinate regional economic and social development. In view of this, based on the local government industrial land transfer data and taking China's eight economic zones as examples, this study used the organic coupled CO₂ environmental Kuznets curve (CKC) model and the stochastic impacts by regression on population, affluence and technology (STIRPAT) model construct the STIRPAT expansion model, and used the industrial panel data of 28 provinces (municipalities and autonomous regions) from 2007 to 2016 to compare and analyze the differential impacts of government land transfer intervention on industrial carbon emissions. The research results show that there are significant differences in the impact of government land transfer intervention on regional carbon emissions in different economic zones. Among the eight zones, the northern coastal, southern coastal and the middle reaches of the Yangtze River economic zones have the same inverted-N type CKC. However, the impact of government land transfer intervention on regional carbon emissions shows the different effects with the northern coastal economic zone as negative, the southern coastal economic zone as positive and the middle reaches of the Yangtze River economic zone without significant effect. The northeastern, southwestern and northwestern economic zone have the same inverted-U type CKC, and government land transfer intervention has a significant negative impact on regional carbon emissions in the northeastern, southwestern economic zone, while insignificant impact in northwestern economic zone. The eastern coastal region and the middle reaches of the Yellow River have the same U type CKC, and the government land transfer intervention on carbon emissions also show the opposite effects, with the former being negative and the latter being positive. The result of the analysis may provide a reference for differentiated energy saving and emission reduction policy and regional coordinated sustainable development.

Key words: industrial carbon emission, regional government intervention, land transfer, comparative study, eight economic zones

WANG Bo, WU Tianhang, FENG Shuyi. Comparative study of the impact of local government land transfer intervention on regional industrial carbon emissions:An example of eight economic zones[J].PROGRESS IN GEOGRAPHY, 2020, 39(9): 1436-1446.

Figures/Tables 2

Tab.1

Industrial carbon emissions and the rate of different industrial land transfer area in Shanghai Municipality and Shaanxi Province"

上海市2007—2016年工业碳排放变化幅度20.57%
上海市工业分行业土地出让面积占比/%
高碳排放行业				中碳排放行业				低碳排放行业
行业代码	2007年	2016年	变化幅度	行业代码	2007年	2016年	变化幅度	行业代码	2007年	2016年	变化幅度
H36	0.19	0	-0.19	H11	0	0	0	H32	0	0.65	0.65
H5	0	0	0	H28	7.79	2.74	-5.05	H12	2.83	0	-2.83
H25	0	0	0	H9	0	0	0	H33	6.55	48.72	42.17
H3	0	0	0	H7	12.64	0.49	-12.16	H31	9.50	12.33	2.82
H26	11.01	0	-11.01	H8	4.69	2.24	-2.45	H10	0	0	0
H22	0.74	0	-0.74	H29	7.97	6.49	-1.48	H34	6.15	2.57	-3.58
H20	5.28	4.12	-1.16	H21	5.45	5.90	0.45	H30	15.95	13.74	-2.20
H1	0.79	0	-0.79	H4	0	0	0	合计	40.97	78.02	37.05
H2	0	0	0	H16	2.37	0	-2.37
H19	0	0	0	合计	40.92	17.86	-23.06
H27	0.09	0	-0.09
合计	18.11	4.12	-13.99
陕西省2007—2016年工业碳排放变化幅度105.70%
陕西省工业分行业土地出让面积占比/%
高碳排放行业				中碳排放行业				低碳排放行业
行业代码	2007年	2016年	变化幅度	行业代码	2007年	2016年	变化幅度	行业代码	2007年	2016年	变化幅度
H36	5.12	14.58	9.46	H11	0	0	0	H32	0	0	0
H5	0	0	0	H28	12.87	2.37	-10.49	H12	4.54	0.11	-4.43
H25	1.37	5.30	3.93	H9	0	1.71	1.71	H33	1.40	6.86	5.46
H3	1.66	0.15	-1.51	H7	22.54	10.62	-11.92	H31	6.92	8.12	1.19
H26	0.01	0.11	0.10	H8	4.91	1.95	-2.97	H10	0.74	0.07	-0.67
H22	0	0.67	0.67	H29	3.20	1.06	-2.14	H34	0.30	0.81	0.51
H20	4.35	4.64	0.30	H21	5.25	4.25	-1.00	H30	5.46	4.89	-0.57
H1	3.44	14.63	11.19	H4	0.85	0	-0.85	合计	19.37	20.86	1.49
H2	13.73	5.44	-8.29	H16	0.93	1.12	0.20
H19	0.41	9.60	9.19	合计	50.54	23.08	-27.46
H27	0	0.94	0.94
合计	30.09	56.06	25.97

Tab.1

Tab.2

Regression results of stochastic impacts by STIRPAT expansion model in eight economic zones"

变量	东部沿海经济区	北部沿海经济区	南部沿海经济区	黄河中游经济区	长江中游经济区	东北经济区	西南经济区	西北经济区
L	-1.460^*** (0.505)	-23.487^*** (9.520)	-12.942^* (6.661)	-0.797^* (0.468)	-15.101^*** (2.594)	3.381^*** (0.522)	2.505^*** (0.433)	2.597^*** (0.192)
L²	0.071^*** (0.018)	1.638^** (0.676)	0.883^* (0.476)	0.049^*** (0.017)	1.232^*** (0.194)	-0.099^*** (0.019)	-0.076^*** (0.016)	-0.082^*** (0.006)
L³		-0.037^** (0.016)	-0.019^** (0.011)		-0.032^*** (0.005)
CKC类型	U	倒N	倒N	U	倒N	倒U	倒U	倒U
IL_i,t	-0.017 (0.055)	-0.036 (0.033)	0.025 (0.043)	0.094^*** (0.034)	0.039 (0.041)	-0.061 (0.046)	0.015 (0.045)	-0.032 (0.042)
IL_i,t-₁	-0.022 (0.044)	-0.028 (0.030)	0.140^*** (0.039)	0.054^* (0.031)	-0.047 (0.036)	-0.092^** (0.043)	0.028 (0.044)	0.034 (0.041)
IL_i,t-₂	-0.046^* (0.026)	-0.080^*** (0.026)	-0.030 (0.026)	-0.006 (0.024)	-0.020 (0.026)	-0.037 (0.037)	-0.054^* (0.035)	0.018 (0.033)
政府干预作用方向	负	负	正	正	无	负	负	无
IF	0.371^*** (0.023)	0.391^*** (0.033)	0.365^*** (0.040)	0.540^*** (0.017)	0.400^*** (0.021)	0.488^*** (0.040)	0.569^*** (0.027)	0.656^*** (0.021)
FDI	-0.001 (0.001)	0.001 (0.001)	-0.0001 (0.001)	0.004^** (0.001)	-0.003^** (0.001)	0.003^* (0.002)	-0.002 (0.002)	-0.001 (0.002)
EF	-0.887^*** (0.022)	-0.877^*** (0.027)	-0.813^*** (0.039)	-0.897^*** (0.015)	-0.939^*** (0.016)	-0.952^*** (0.021)	-0.911^*** (0.022)	-0.981^*** (0.011)
ES	0.137 (0.179)	-0.020 (0.197)	-0.386^** (0.189)	0.137 (0.159)	-0.446^*** (0.159)	2.328^*** (0.524)	-0.466^*** (0.169)	0.510^** (0.236)
policy-2011	0.043^** (0.017)	0.014 (0.022)	0.073^*** (0.023)	0.028 (0.019)	0.100^*** (0.019)	-0.175^*** (0.028)	0.105^*** (0.028)	-0.020 (0.027)
常数	16.789^*** (3.551)	119.012^*** (44.672)	69.659^** (31.139)	8.520^*** (3.133)	67.687^*** (11.685)	-20.878^*** (3.608)	-13.350^*** (3.010)	-15.088^*** (1.335)
log likehood	409.662	341.970	303.757	420.268	476.122	176.754	181.464	201.995
F-test	226.107^***	123.49^***	55.02^***	377.89^***	334.70^***	218.28^***	237.44^***	969.48^***

Tab.2

References 45

[1]	庄贵阳, 薄凡, 张靖. 中国在全球气候治理中的角色定位与战略选择 [J]. 世界经济与政治, 2018(4): 4-27, 155-156.
	[ Zhuang Guiyang, Bo Fan, Zhang Jing. China's role and strategic choice in global climate governance. World Economics and Politics, 2018(4): 4-27, 155-156. ]
[2]	刘自俊, 贾爱玲. 碳排放权交易政府监管的必要性与可行性分析[J]. 江西农业学报, 2013,25(8):111-115.
	[ Liu Zijun, Jia Ailing. Necessity and feasibility analysis of carbon emission permit trade under government supervision. Acta Agriculturae Jiangxi, 2013,25(8):111-115. ]
[3]	刘婧. 基于强度减排的我国碳交易市场机制研究[D]. 上海: 复旦大学, 2010.
	[ Liu Jing. Research on China's carbon trading market mechanism based on intensity reduction. Shanghai, China: Fudan University, 2010. ]
[4]	Yuan J, Kang J, Yu C, et al. Energy conservation and emissions reduction in China: Progress and prospective[J]. Renewable and Sustainable Energy Reviews, 2011,15(9):4334-4347. doi: 10.1016/j.rser.2011.07.117
[5]	Wang Q, Chen Y. Energy saving and emission reduction revolutionizing China's environmental protection[J]. Renewable and Sustainable Energy Reviews, 2010,14(1):535-539. doi: 10.1016/j.rser.2009.08.006
[6]	Wang Q, Chen X. Energy policies for managing China's carbon emission[J]. Renewable and Sustainable Energy Reviews, 2015,50:470-479.
[7]	Lewis J I. The evolving role of carbon finance in promoting renewable energy development in China[J]. Energy Policy, 2010,38(6):2875-2886. doi: 10.1016/j.enpol.2010.01.020
[8]	Wang P, Dai H, Ren S, et al. Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China[J]. Energy, 2015,79:212-227. doi: 10.1016/j.energy.2014.11.009
[9]	Cui L, Fan Y, Zhu L, et al. How will the emissions trading scheme save cost for achieving China's 2020 carbon intensity reduction target?[J]. Applied Energy, 2014,136:1043-1052. doi: 10.1016/j.apenergy.2014.05.021
[10]	Liu L, Chen C, Zhao Y, et al. China's carbon-emissions trading: Overview, challenges and future[J]. Renewable and Sustainable Energy Reviews, 2015,49:254-266. doi: 10.1016/j.rser.2015.04.076
[11]	Zhang X Shen G Q P, Feng J, et al. Delivering a low-carbon community in China: Technology vs. strategy?[J]. Habitat International, 2013,37:130-137. doi: 10.1016/j.habitatint.2011.12.010
[12]	Liu W, Zhang J, Bluemling B, et al. Public participation in energy saving retrofitting of residential buildings in China[J]. Applied Energy, 2015,147:287-296. doi: 10.1016/j.apenergy.2015.02.090
[13]	张翼, 卢现祥. 公众参与治理与中国二氧化碳减排行动: 基于省级面板数据的经验分析[J]. 中国人口科学, 2011(3):64-72.
	[ Zhang Yi, Lu Xianxiang. Public participating in management and China reduction action: An empirical analysis based on the provincial panel data. Chinese Journal of Population Science, 2011(3):64-72. ]
[14]	谢海燕. 生态环境管理体制改革顶层设计: 基于政府、市场、公众三维视角[J]. 中国经贸导刊, 2014(28):61-63.
	[ Xie Haiyan. Top-level design of ecological environment management system reform: Based on the three-dimensional perspective of government, market and public. China Economic & Trade Herald, 2014(28):61-63. ]
[15]	卢娜, 冯淑怡, 曲福田. 经济发展对我国土地利用碳排放的影响[J]. 南京农业大学学报(社会科学版), 2013,13(2):108-115.
	[ Lu Na, Feng Shuyi, Qu Futian. On the impact of economic development on carbon emission of land use in China. Journal of Nanjing Agricultural University (Social Sciences Edition) , 2013,13(2):108-115. ]
[16]	Li H, Zhao X, Yu Y, et al. China's numerical management system for reducing national energy intensity[J]. Energy Policy, 2016,94:64-76. doi: 10.1016/j.enpol.2016.03.037
[17]	Tang P, Yang S, Fu S. Do political incentive affects China's land transfer in energy-intensive industries?[J]. Energy, 2018,164:550-559. doi: 10.1016/j.energy.2018.09.054
[18]	Lin B, Xu B. Growth of industrial CO₂ emissions in Shanghai City: Evidence from a dynamic vector auto regression analysis[J]. Energy, 2018,151:167-177. doi: 10.1016/j.energy.2018.03.052
[19]	刘贤赵, 高长春, 张勇, 等. 中国省域碳强度空间依赖格局及其影响因素的空间异质性研究[J]. 地理科学, 2018,38(5):681-690. doi: 10.13249/j.cnki.sgs.2018.05.005
	[ Liu Xianzhao, Gao Changchun, Zhang Yong, et al. Spatial dependence pattern of carbon emission intensity in China's provinces and spatial heterogeneity of its influencing factors. Scientia Geographica Sinica, 2018,38(5):681-690. ]
[20]	谭娟, 陈晓春. 基于产业结构视角的政府环境规制对低碳经济影响分析[J]. 经济学家, 2011(10):91-97.
	[ Tan Juan, Chen Xiaochun. Analysis of the impact of government environmental regulation on low carbon economy based on industrial structure perspective. Economist, 2011(10):91-97. ]
[21]	丛建辉, 朱婧, 陈楠, 等. 中国城市能源消费碳排放核算方法比较及案例分析: 基于“排放因子”与“活动水平数据”选取的视角[J]. 城市问题, 2014(3):5-11.
	[ Cong Jianhui, Zhu Jing, Chen Nan, et al. Comparison and case analysis of carbon emission accounting methods for urban energy consumption in China: Based on the selection of "Emission Factor" and "Activity Level Data". Urban Problems, 2014(3):5-11. ]
[22]	周五七. 中国工业能源碳排放面板数据估算: 1998—2010年[J]. 西部论坛, 2012,22(3):68-77.
	[ Zhou Wuqi. Panel data estimation of China's industrial energy carbon emissions during 1998-2010. West Forum, 2012,22(3):68-77. ]
[23]	Dietz T, Rosa E A. Rethinking the environmental impacts of population, affluence and technology[J]. Human Ecology Review, 1994,1(2):277-300.
[24]	Grossman G M, Krueger A B. Environmental impacts of a North American free trade agreement [J]. Social Science Electronic Publishing, 1991,8(2):223-250.
[25]	Chen Y, Wang Z, Zhong Z. CO₂ emissions, economic growth, renewable and non-renewable energy production and foreign trade in China[J]. Renewable Energy, 2019,131:208-216. doi: 10.1016/j.renene.2018.07.047
[26]	Kang Y, Zhao T, Yang Y. Environmental Kuznets curve for CO₂ emissions in China: A spatial panel data approach[J]. Ecological Indicators, 2016,63:231-239. doi: 10.1016/j.ecolind.2015.12.011
[27]	Selden T M, Song D. Environmental quality and development: Is there a Kuznets curve for air pollution emissions?[J]. Journal of Environmental Economics and Management, 1994,27(2):147-162. doi: 10.1006/jeem.1994.1031
[28]	何小钢, 张耀辉. 中国工业碳排放影响因素与CKC重组效应: 基于STIRPAT模型的分行业动态面板数据实证研究[J]. 中国工业经济, 2012(1):26-35.
	[ He Xiaogang, Zhang Yaohui. Influence factors and environmental Kuznets curve relink Effect of Chinese industry's carbon dioxide emission: Empirical research based on STIRPAT model with industrial dynamic panel data. China Industrial Economics, 2012(1):26-35. ]
[29]	杨其静, 卓品, 杨继东. 工业用地出让与引资质量底线竞争: 基于2007—2011年中国地级市面板数据的经验研究[J]. 管理世界, 2014(11):24-34.
	[ Yang Qijing, Zhuo Pin, Yang Jidong. Industrial land transfer and Investing quality bottom line competition: Based on the empirical study of panel data of prefecture-level cities in China from 2007 to 2011. Management World, 2014(11):24-34. ]
[30]	龚健健, 沈可挺. 中国高耗能产业及其环境污染的区域分布: 基于省际动态面板数据的分析[J]. 数量经济技术经济研究, 2011,28(2):20-36, 51.
	[ Gong Jianjian, Shen Keting. Regional distribution and environment pollution of energy-intensive industries in China. The Journal of Quantitative & Technical Economics, 2011,28(2):20-36, 51. ]
[31]	郭施宏, 高明. 城市土地经济密度与碳排放的EKC假说与验证: 基于省际静态与动态面板数据的对比分析[J]. 南京农业大学学报 (社会科学版), 2017,17(1):80-90.
	[ Guo Shihong, Gao Ming. Hypojournal and validation on the environmental Kuznets curve relation between urban land economic density and carbon emissions: A comparative analysis of static panel data and dynamic panel data. Journal of Nanjing Agricultural University (Social Sciences Edition), 2017,17(1):80-90. ]
[32]	邵帅, 杨莉莉, 曹建华. 工业能源消费碳排放影响因素研究: 基于STIRPAT模型的上海分行业动态面板数据实证分析[J]. 财经研究, 2010,36(11):16-27.
	[ Shao Shuai, Yang Lili, Cao Jianhua. Study on influencing factors of CO₂ emissions from industrial energy consumption: An empirical analysis based on STIRPAT model and industrial sectors' dynamic panel data in Shanghai. Journal of Finance and Economics, 2010,36(11):16-27. ]
[33]	申兵, 汪阳红, 黄征学, 等. 积极推进改革降低实体经济用地成本[J]. 中国发展观察, 2016(10):18-20.
	[ Shen Bing, Wang Yanghong, Huang Zhengxue, et al. Actively promote reforms, reduce the cost of land for the real economy. China Development Observation, 2016(10):18-20. ]
[34]	金刚, 沈坤荣. 以邻为壑还是以邻为伴?环境规制执行互动与城市生产率增长[J]. 管理世界, 2018(12):43-55.
	[ Jin Gang, Shen Kunrong. The neighboring area is a partner or a gully? Environmental regulation implementation interaction and urban productivity growth. Management World, 2018(12):43-55. ]
[35]	高新宇, 范伯元, 李彬. 北京新能源产业发展思路及政策探析[J]. 中国能源, 2009,31(9):25-26, 18.
	[ Gao Xinyu, Fan Boyuan, Li Bin. The Research on the development thoughts and policies of new energy industry in Beijing. Energy of China, 2009,31(9):25-26, 18. ]
[36]	闫玉科, 张萌, 章政. 广东新型城镇化发展路径研究: 基于制度创新视角[J]. 农业经济问题, 2016,37(3):51-60.
	[ Yan Yuke, Zhang Meng, Zhang Zheng. Based on the system innovation from the perspective of the development of Guangdong new-type urbanization research. Issues in Agricultural Economy, 2016,37(3):51-60. ]
[37]	Chen Y, Wang Z, Zhong Z. CO₂ emissions, economic growth, renewable and non-renewable energy production and foreign trade in China[J]. Renewable Energy, 2019,131:208-216. doi: 10.1016/j.renene.2018.07.047
[38]	李鹤. 1995—2009年东北地区工业部门CO₂排放演变及影响因素分析[J]. 资源科学, 2012,34(2):309-315.
	[ Li He. Evolution and decomposition analysis of industrial CO₂ emissions in Northeast China during the period 1995-2009. Resources Science, 2012,34(2):309-315. ]
[39]	王庆龙, 史桂芬. 金融支持东北地区产业转型升级的若干问题研究[J]. 经济纵横, 2018(12):119-123.
	[ Wang Qinlong, Shi Guifen. A study of several issues of financial support for industrial transformation and upgrading in Northeast China. Economic Review Journal, 2018(12):119-123. ]
[40]	吴红宇, 马凤娟. 论我国西南地区生态补偿机制的建立和完善[J]. 云南行政学院学报, 2010,12(1):98-101.
	[ Wu Hongyu, Ma Fengjuan. On the establishment and improvement of ecological compensation mechanism in Southwest China. The Journal of Yunnan Administration College, 2010,12(1):98-101. ]
[41]	沈锋. 上海市经济增长与环境污染关系的研究: 基于环境库兹涅茨理论的实证分析[J]. 财经研究, 2008,34(9):81-90.
	[ Shen Feng. The relation between economic growth and environment pollution in Shanghai City: Empirical analysis based on environmental Kuznets theory. Journal of Finance and Economics, 2008,34(9):81-90. ]
[42]	黄群慧. 中国的工业化进程: 阶段、特征与前景[J]. 经济与管理, 2013,27(7):5-11.
	[ Huang Qunhui. The process of industrialization in China: Stage, characteristic and prospect. Economy and Management, 2013,27(7):5-11. ]
[43]	张克中, 王娟, 崔小勇. 财政分权与环境污染: 碳排放的视角[J]. 中国工业经济, 2011(10):65-75.
	[ Zhang Kezhong, Wang Juan, Cui Xiaoyong. Fiscal decentralization and environmental pollution: From the perspective of carbon emission. China Industrial Economics, 2011(10):65-75. ]
[44]	王丽萍, 夏文静. 中国污染产业强度划分与区际转移路径[J]. 经济地理, 2019,39(3):152-161.
	[ Wang Liping, Xia Wenjing. Interregional transfer path of pollution industry in China. Economic Geography, 2019,39(3):152-161. ]
[45]	Onafowora O A, Owoye O. Bounds testing approach to analysis of the environment Kuznets curve hypojournal[J]. Energy Economics, 2014,44:47-62. doi: 10.1016/j.eneco.2014.03.025

Comparative study of the impact of local government land transfer intervention on regional industrial carbon emissions:An example of eight economic zones

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