中国建设用地环境效率时空演变及其影响因素
收稿日期: 2018-07-31
修回日期: 2018-11-13
网络出版日期: 2019-01-31
基金资助
武汉东湖学院农业电子商务协同创新中心（培育）经费资助
Spatial-Temporal Evolution and Influencing Factors of Environmental Efficiency of Construction Land in China
Received date: 2018-07-31
Revised date: 2018-11-13
Online published: 2019-01-31
采用超效率数据包络法模型和Malmquist指数对2006-2016年全国建设用地环境效率进行测度评估，分析其时空演变特征，并通过面板固定效应Tobit模型定量分析各要素对省际建设用地环境效率的影响程度.研究结果表明：1）中国建设用地环境效率整体偏低，其中东部和北部沿海经济区的效率均值最高，北京和上海一直处于建设用地环境效率有效状态，而西南部，长江中游经济区最低，其研究期间均无有效状态省份；2）从各区域建设用地环境效率变化趋势来看，北京、上海、江苏和陕西增长较快，其中技术进步是主要动力，黑龙江、甘肃、湖北和海南有所下降，东部、北部沿海经济区增长较快，而南部沿海和长江中游增长速率最为缓慢；3）产业结构和科技研发强度对建设用地环境效率有显著的正向影响，而经济发展程度与其之间的关系呈U型特征.研究结果可为当前中国建设用地的强度控制以及指标分配提供依据.
徐慧敏, 胡守庚, 李熙 . 中国建设用地环境效率时空演变及其影响因素[J]. 应用科学学报, 2019 , 37(1) : 73 -86 . DOI: 10.3969/j.issn.0255-8297.2019.01.008
In this paper, data envelopment analysis (DEA) model of super efficiency and Malmquist index are used to measure the environmental efficiency of construction land in China from 2006 to 2016, analyze its spatial and temporal evolution characteristics, and analyze the impact of various factors on the environmental efficiency of inter-provincial construction land quantitatively through Tobit model of panel fixation effect. The following research results are obtained:1) The overall environmental efficiency of construction land in China is low, among which the eastern and northern coastal economic zones perform the highest average efficiency. 2) From the perspective of the change trend of the environmental efficiency of construction land in various regions, Beijing, Shanghai, Jiangsu and Shaanxi have witnessed rapid growth, among which technological progress is the main driving force. 3) The industrial structure and the intensity of scientific and technological research and development have significant positive impacts on the environmental efficiency of construction land, whereas the relationship between the degree of economic development and the environmental efficiency of construction land shows an U-shape. The research results could provide a helpful basis for controlling the intensity and allocation of regional construction land in China in future.
[1] 陈逸,陈志刚,周艳,黄贤金. 江苏省地级市建设用地利用效率的区域差异与优化配置[J]. 经济地理,2017, 37(6):171-176. Chen Y, Chen Z G, Zhou Y, Huang X J. Regional differences and optimal allocation of construction land utilization efficiency in prefecture-level cities of Jiangsu Province[J]. Economic Geography, 2017, 37(6):171-176. (in Chinese)
[2] 朱巧娴,梅昀,陈银蓉,韩啸. 基于碳排放测算的湖北省土地利用结构效率的DEA模型分析与空间分异研究[J]. 经济地理,2015, 35(12):176-184. Zhu Q X, Mei Y, Chen Y R, Han X. Regional differentiation characteristics and optimization of the structural efficiency of land use in Hubei Province based on the carbon emissions[J]. Economic Geography, 2015, 35(12):176-184. (in Chinese)
[3] 许刚,焦利民,肖丰涛,赵素丽,张欣. 土地利用回归模型模拟京津冀PM2.5浓度空间分布[J]. 干旱区资源与环境,2016, 30(10):116-120. Xu G, Jiao L M, Xiao F T, Zhao S L, Zhang X. Applying land use regression model to estimate spatial distribution of PM2.5 concentration in Beijing-Tianjin-Hebei region[J]. Journal of Arid Land Resources and Environment, 2016, 30(10):116-120. (in Chinese)
[4] 张雅杰,金海. 长江中游地区城市建设用地利用效率及驱动机理研究[J]. 资源科学,2015, 37(7):1384-1393. Zhang Y J, Jin H. Research on efficiency of urban construction land and the drive mechanism in the Mid-Yangtze River[J]. Resources Science, 2015, 37(7):1384-1393. (in Chinese)
[5] 胡学东,郑方辉,杨俊. 基于多功能协调的湖北省城市建设用地差别化绩效管控[J]. 长江流域资源与环境,2018, 27(2):262-271.Hu X D, Zheng F H, Yang J. Differentiated performance control of urban construction land based on multifunctional coordination in Hubei Province[J]. Resources and Environment in the Yangtze Basin, 2018, 27(2):262-271. (in Chinese)
[6] 钟成林,胡雪萍. 自然资源禀赋对区域生态效率的影响研究[J]. 大连理工大学学报(社会科学版),2016, 37(3):19-26. Zhong C L, Hu X P. Influence of natural resource endowment on regional eco-efficiency[J]. Journal of Dalian University of Technology (Social Sciences), 2016, 37(3):19-26. (in Chinese)
[7] 景守武,张捷. 我国省际能源环境效率收敛性分析[J]. 山西财经大学学报,2018, 40(1):1-11. Jing S W, Zhang J. Study on the convergence of Inter-provincial energy and environment efficiency in China[J]. Journal of Shanxi University of Finance and Economics, 2018, 40(1):1-11. (in Chinese)
[8] 黄杰. 中国能源环境效率的空间关联网络结构及其影响因素[J]. 资源科学,2018, 40(4):759-772. Huang J. The spatial network structure of energy-environmental efficiency and its determinants in China[J]. Resources Science, 2018, 40(4):759-772. (in Chinese)
[9] 姚增福,刘欣. 要素禀赋结构升级、异质性人力资本与农业环境效率[J]. 人口与经济,2018(2):37-47. Yao Z F, Liu X. Factor endowment structural upgrading, heterogeneous human capital and farm environmental efficiency[J]. Population& Economics, 2018(2):37-47. (in Chinese)
[10] 黄万华,卢盈. 资源环境约束下煤炭产业生态效率测评及其影响因素分析[J]. 资源开发与市场,2018, 34(1):28-34. Huang W H, Lu Y. Evaluation of ecological efficiency of coal industry under resource and environment constraints and its influencing factors[J]. Resource Development & Market, 2018, 34(1):28-34. (in Chinese)
[11] 金刚,沈坤荣. 服务业技术效率再评价与解构:管理无效还是环境无效——以中国电信服务业为例[J]. 产业经济研究,2018(2):1-14. Jin G, Shen K R. Reevaluation and deconstruction of technical efficiency in service industry:managerial inefficiency or environmental inefficiency-evidence from telecommunication industry in China[J]. Industrial Economics, 2018(2):1-14. (in Chinese)
[12] 吴振华,唐芹,王亚蓓. 江浙沪地区城市建设用地环境效率评价——基于三阶段DEA与BootstrapDEA方法[J]. 现代城市研究,2017(1):90-99. Wu Z H, Tang Q, Wang Y B. Environmental efficiency evaluation of urban construction land in Jiangsu-Zhejiang-Shanghai area:based on three stage DEA and Bootstrap-DEA methods[J]. Modern Urban Research, 2017(1):90-99. (in Chinese)
[13] 陆砚池,方世明. 基于SBM-DEA和Malmquist模型的武汉城市圈城市建设用地生态效率时空演变及其影响因素分析[J]. 长江流域资源与环境,2017, 26(10):1575-1586. Lu Y C, Fang S M. Analysis of spatio-temporal evolution and influencing factors of eco-efficiency of urban construction land in Wuhan City Circle based on SBM-DEA and Malmquist model[J]. Resources and Environment in the Yangtze Basin, 2017, 26(10):1575-1586. (in Chinese)
[14] 张静,张宝文. 基于Malmquist指数法的中国农业科技创新效率实证分析[J]. 科技进步与对策,2011, 28(17):129-133. Zhang J, Zhang B W. Empirical analysis of China's agricultural science and technology innovation efficiency based on Malmquist index method[J]. Science & Technology Progress and Policy, 2011, 28(17):129-133. (in Chinese)
[15] 周先波,潘哲文. 第三类Tobit模型的半参数估计方法[J]. 统计研究,2015, 32(5):97-105. Zhou X B, Pan Z. Semiparametric estimation for the type-3 tobit model[J]. Statistical Research, 2015, 32(5):97-105. (in Chinese)
[16] Sule A, Honoré B E, Hu L J, Leth-Pedersen S. Estimation of panel data regression models with two-sided censoring or truncation[J]. Journal of Econometric Methods, 2011, 3(1):1-20.
[17] 李勇刚,罗海燕. 地方政府供地策略与产业结构服务化——来自中国35个大中城市的经验证据[J]. 华中科技大学学报(社会科学版),2017, 31(6):115-125. Li Y G, Luo H Y. Local officials land supply strategy and industrial structure tertiarization:from empirical evidence of 35 large and medium-sized cities in China[J]. Journal of Huazhong University of Science and Technology (Social Science Edition), 2017, 31(6):115-125. (in Chinese)
[18] Jiang L, Folmer H, Bu M L. Interaction between output efficiency and environmental efficiency:evidence from the textile industry in Jiangsu Province, China[J]. Journal of Cleaner Production, 2016, 113(2):123-132.
[19] 黄永春,石秋平. 中国区域环境效率与环境全要素的研究——基于包含R&D投入的SBM模型的分析[J]. 中国人口·资源与环境,2015, 25(12):25-34. Huang Y C, Shi Q P. Research on environmental efficiency and environmental total factor productivity in China's regional economies[J]. China Population, Resources and Environment, 2015, 25(12):25-34.(in Chinese)
[20] 沈能, 王群伟. 考虑异质性技术的环境效率评价及空间效应[J]. 管理工程学报, 2015, 29(1):162-168 Shen N, Wang Q W. Management, environmental efficiency evaluation and spatial effect taking account of technology heterogeneity[J]. Journal of Engineering Management, 2015, 29(1):162-168. (in Chinese)
[21] Luo L W, Liang S R. Study on the efficiency and regional disparity of green technology innovation in China's industrial companies[J]. China Population, Resources and Environment, 2016, 14(4):262-270.
[22] 钱争鸣,刘晓晨. 环境管制、产业结构调整与地区经济发展[J]. 经济学家,2014(7):73-81. Qian Z M, Liu X C. Environmental control, industrial structure adjustment and regional economic development[J]. Economist, 2014(7):73-81. (in Chinese)
[23] Tao X, Wang P, Zhu B.Provincial green economic efficiency of China:a non-separable inputoutput SBM approach[J]. Applied Energy, 2016, 171(6):58-66.
[24] Chen L, Jia G. Environmental efficiency analysis of China's regional industry:a data envelopment analysis (DEA) based approach[J]. Journal of Cleaner Production, 2017, 142(2):846-853.
[25] Samina K. Relative efficiency of decision making units producing both desirable and undesirable outputs:a case of textile processing units in Pakistan[J]. The Pakistan Developmen Review, 2011, 50(4):685-698
/
| 〈 |
|
〉 |
