[1]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(社科版),2017,17(01):80-90.
 GUO Shihong,GAO Ming.Hypothesis 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[J].Journal of Nanjing Agricultural University(Social Science),2017,17(01):80-90.
点击复制

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()
分享到:

南京农业大学学报(社科版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
17
期数:
2017年01期
页码:
80-90
栏目:
土地问题
出版日期:
2016-12-22

文章信息/Info

Title:
Hypothesis 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
作者:
郭施宏1 高明2
1. 清华大学 公共管理学院, 北京 100084;
2. 福州大学 经济与管理学院, 福建 福州 350116
Author(s):
GUO Shihong1 GAO Ming2
关键词:
土地利用土地经济密度碳排放环境库兹涅茨曲线
分类号:
F301.2
摘要:
在土地利用和碳排放方面的环境库兹涅茨曲线假说研究基础上,提出城市土地经济密度与碳排放之间的EKC假说。基于1995-2012年中国省际面板数据,分别构造静态面板模型和动态面板模型对假说进行验证。静态模型和动态模型估计结果均表明,城市土地经济密度与碳排放之间存在EKC的“重组”效应,二者呈现倒N型的曲线关系,曲线的极大值点出现在城市土地经济密度为180000万元/km2附近。动态模型估计的结果也表明碳排放具有明显的滞后效应。当前,除上海、浙江、福建、河北和江苏5个省(市)的城市碳排放量随着城市土地经济密度增长而降低外,大部分地区的城市需到2020年才能进入这一阶段。为此,要提升城市土地经济密度使城市尽早进入曲线的下降阶段,以及提高生产技术水平促使极大值点提前到来。
Abstract:
According to the EKC theory and resent research of EKC hypothesis on land use and carbon emissions, this paper put forward a hypothesis that there is an Environment Kuznets Curve (EKC) relation between urban land economic density and carbon emissions in China, which shows an inverted U-shape curve. The paper built a static panel data model and a dynamic panel data model respectively to validate the hypothesis. Both the estimated result of static model and that of dynamic model show that the relation between urban land economic density and carbon emissions does not match the EKC relation completely, which shows an inverted N-shape curve. Carbon emissions reduce as urban land economic density grows at first, then both carbon emissions and urban land economic density grow together, and carbon emissions reduce again once the density reaches a turning point. Besides, the estimated result of the dynamic panel model shows that an significant delayed effect exists in carbon emissions. Furthermore, the paper simulated a static cubic curve and a dynamic cubic curve. Compare with them, the static cubic curve’ minimum point appears earlier than dynamic cubic curve’s, while the static cubic curve’s maximum point appears later than dynamic one’s. The maximum point appears when urban land density comes to around 1.8 billion yuan per square kilometres. Currently, carbon emissions in Shanghai, Zhejing, Fujian, Hebei and Jiangsu go down as their urban land economic density grows, but most of cities’ carbon emissions and urban land economic density increase synchronously. The situation may not be changed until 2020. Nowadays, China is facing a tough situation of carbon emissions control. Chinese government should control the irrational expansion of urban land, improve urban land use situation and increase land intensive use level, improve production technology level, readjust urban industrial structure and optimize energy consumption structure to urge cities to enter into the decline phase of EKC as early as possible.

参考文献/References:

[1] 赵荣钦,陈志刚,黄贤金,等.南京大学土地利用碳排放研究进展[J].地理科学,2012,32(12):1473-1480.
[2] Grossman G, Krueger A. Economic growth and environment[J]. Quarterly Journal Economics, 1995,110(2):353-377.
[3] Hilton F G H, Levinson A. Factoring the environmental Kuznets Curve:Evidence from automotive emissions[J]. Journal of Environmental Economics and Management, 1998(35):126.
[4] Franklin R S, Ruth M. Growing up and cleaning up:The environmental Kuznets Curve redux[J]. Applied Geography, 2012(32):29-39.
[5] 李崧,邱微,赵庆良.黑龙江省环境质量与经济发展定量关系研究[J].哈尔滨工业大学学报,2006,38(11):1986-1988.
[6] Kumar P, Aggarwal S C. Does an environmental Kuznets Curve exist for changing land use? Empirical evidence from major states of India[J]. Int. J. Sustainable Development, 2003, 6(2):231-245.
[7] James A N. Agricultural land use and economic growth:Environmental implications of the Kuznets curve[J]. Int. J. Sustainable Development, 1999,2(4):530-553.
[8] 曲福田,吴丽梅.经济增长与耕地非农化的库兹涅茨曲线假说及验证[J].资源科学,2004,26(5):61-67.
[9] 李海鹏,吴群.中国收入差距与耕地非农化关系的实证研究——基于对耕地库兹涅茨曲线的扩展[J].中国土地科学,2006,20(5):7-12.
[10] 何蓓蓓,刘友兆,张健.中国经济增长与耕地资源非农流失的计量分析——耕地库兹涅茨曲线的验证与修正[J].干旱区资源与环境,2008,22(6):21-26.
[11] 张正栋,周永章,夏斌.海南省耕地变化与经济发展关系研究[J].热带地理,2006,26(1):56-60.
[12] 李永乐,吴群.经济增长与耕地非农化的Kuznets曲线验证——来自中国省级面板数据的证据[J].资源科学,2008,30(5):667-672.
[13] 王雨濛,吴娟,张安录.城乡收入差距与耕地非农化的关系研究——基于耕地库兹涅茨曲线扩展的省际面板数据研究[J].水土保持研究,2010,17(1):214-217.
[14] 许恒周,吴冠岑,郭玉燕.耕地非农化与中国经济增长质量的库兹涅茨曲线假说及验证——基于空间计量经济模型的实证分析[J].中国土地科学,2014,28(1):75-81.
[15] 冯科,吴次芳,陆张维,等.中国土地经济密度分布的时空特征及规律——来自省级面板数据的分析[J].经济地理,2008,28(5):817-820.
[16] 龙开胜,陈利根.经济增长与土地违法的库兹涅茨曲线效应分析[J].中国土地科学,2011,25(7):13-18.
[17] 邹秀清.中国土地财政与经济增长的关系研究——土地财政库兹涅茨曲线假说的提出与面板数据检验[J].中国土地科学,2013,27(5):14-19.
[18] He Jie, Richard P. Environmental Kuznets Curve for CO2 in Canada[J]. Ecological Economics, 2010, 69(5):1083-1093.
[19] Masaaki K, Katsumasa N, Atsuyuki O. Economic models for the environmental Kuznets Curve:A survey[J]. Journal of Economic Dynamics & Control, 2010,34(7):1187-1201.
[20] Ang B W, Liu N. A cross-country analysis of aggregate energy and carbon intensities[J]. Energy Policy, 2006,34(15):2398-2404.
[21] Roberts J T, Grimes P E. Carbon intensity and economic development 1962-1991:A brief exploration of the environmental Kuznets Curve[J]. World Development, 1997,25(2):191-198.
[22] 刘扬,陈劭锋.基于IPAT方程的典型发达国家经济增长与碳排放关系研究[J].生态经济,2009(11):28-30.
[23] 张润森,濮励杰,文继群,等.建设用地扩张与碳排放效应的库兹涅茨曲线假说及验证[J].自然资源学报,2012,27(5):723-732.
[24] 林坚,祖基翔,苗春雷,等.中国区县单元城乡建设用地经济密度的空间分异研究[J].中国土地科学,2008,22(3):46-53.
[25] 曹广忠,白晓.中国城镇建设用地经济密度的区位差异及影响因素——基于273个地级及以上城市的分析[J].中国人口·资源与环境,2010,20(2):12-18.
[26] 贝涵璐,吴次芳,冯科,等.土地经济密度的区域差异特征及动态演变格局——基于长江三角洲地区的实证分析[J].自然资源学报,2009,24(11):1952-1962.
[27] Copeland B R, Taylor M S. Trade growth and the environment[J]. Journal of Economic Literature, 2004,42(1):7-71.
[28] Park S, Lee Y. Regional model of EKC for air pollution:Evidence from the Republic of Korea[J]. Energy Policy, 2011(39):5840-5849.
[29] 杨丹辉,李红莉.地方经济增长与环境质量——以山东省域为例的库兹涅茨曲线分析[J].经济管理,2011(3):37-46.
[30] 朱勤,彭希哲,陆志明,等.人口与消费对碳排放影响的分析模型与实证[J].中国人口·资源与环境,2010,20(2):98-102.
[31] 尹向飞.人口、消费、年龄结构与产业结构对湖南碳排放的影响因素及其演进分析——基于STIRPAT模型[J].西北人口,2011,32(2):65-82.
[32] 曲福田,卢娜,冯淑怡.土地利用变化对碳排放的影响[J].中国人口·资源与环境,2011,21(10):76-83.
[33] 王泳璇,王宪恩,史记,等.典型国家特定碳排放阶段影响因素研究[J].资源科学,2013,35(10):1945-1952.
[34] 彭文甫,樊淑云,潘荟交,等.区域土地利用变化的碳排放效应及时空格局研究[J].生态经济,2013(9):28-33.
[35] 李小平,卢现祥.国际贸易、污染产业转移与中国工业CO2排放[J].经济研究,2010(1):15-26.
[36] 刘伟玲,张林波,龚斌,等.深圳市土地利用碳排放环境库兹涅茨曲线协整分析[J].水土保持研究,2013,20(4):172-178.
[37] 吴一洲,吴次芳,罗文斌.经济地理学视角的城市土地经济密度影响因素及其效应[J].中国土地科学,2013,27(1):26-33.
[38] 高佳,李世平,李文婷.辽宁省土地经济密度时空特征及驱动力分析[J].中国农业资源与区划,2014,35(5):30-37.
[39] 王海燕,濮励杰,张健,等.城镇建设用地经济密度时空分异的实证分析[J].中国土地科学,2012,26(4):47-53.
[40] 罗文斌,吴次芳,冯科.城市土地经济密度的时空差异及其影响机理——基于湖南省城市面板数据的实证分析[J].城市发展研究,2010,17(6):68-74.
[41] Anderson T W, Hsiao C. Formulation and estimation of dynamic models using panel data[J]. Journal of Econometrics,1982(18):47-82.
[42] Arellano M, Bond S. Some test of specification for panel data:monte carlo evidence and an application to Employment Equations[J]. The Review of Economic Studies,1991,58(2):277-297.
[43] Blundell R, Bond S. Initial conditions and moment restrictions in dynamic panel data component models[J]. Journal of Econometrics,1998,87(1):115-143.
[44] Arellano M, Bover O. Another look at the instrumental variable estimation of error-components models[J]. Journal of Econometrics,1995,68(1):29-51.

相似文献/References:

[1]冯淑怡,王博,姜海,等.基于主体功能区规划的区域土地利用情景分析框架——以贵州省毕节市为例[J].南京农业大学学报(社科版),2015,15(03):84.
 [J].Journal of Nanjing Agricultural University(Social Science),2015,15(01):84.
[2]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(社科版),2013,(02):108.
 [J].Journal of Nanjing Agricultural University(Social Science),2013,(01):108.
[3]陈杰,苏群.土地生产率视角下的中国土地适度规模经营——基于2010年全国农村固定观察点数据[J].南京农业大学学报(社科版),2016,16(06):121.
 CHEN Jie,SU Qun.The Moderate Scale Management of China’s Land under Perspective of Land Productivity: Based on Fixed Point Rural Survey (FPRS) Data of Year 2010[J].Journal of Nanjing Agricultural University(Social Science),2016,16(01):121.
[4]孙新华,柳泽凡,周佩萱.“三权”分置中的地权整合与土地集中利用——以皖南河镇为例[J].南京农业大学学报(社科版),2020,20(01):2.
 SUN Xinhua,LIU Zefan,ZHOU Peixuan.Land Rights Integration in the “Three Rights” Separation and Centralized Use of Land: Evidence from River Town in the South of Anhui Province[J].Journal of Nanjing Agricultural University(Social Science),2020,20(01):2.

备注/Memo

备注/Memo:
收稿日期:2016-06-12。
基金项目:福建省社会科学规划项目“环境规制服务污染减排与经济协调发展的评价及优化对策研究”(FJ2015C232);福建省科学技术协会科技思想库研究项目“新常态下发展福建省大气污染防治产业路径与对策研究”(2015ZD02)
作者简介:郭施宏,男,清华大学公共管理学院博士生,E-mail:guoshihong1991@126.com;高明,男,福州大学经济与管理学院教授,博士生导师。
更新日期/Last Update: 1900-01-01