期刊信息

  • 刊名： 河北师范大学学报（自然科学版）Journal of Hebei Normal University (Natural Science)
  • 主办： 河北师范大学
  • ISSN： 1000-5854
  • CN： 13-1061/N
  • 中国科技核心期刊
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  • 中国高校优秀科技期刊
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沿黄9省(区)工业绿色发展效率及其影响因素分析

  • (1.兰州财经大学 农林经济管理学院，甘肃 兰州 730020； 2.兰州财经大学 经济学院，甘肃 兰州 730020)
  • DOI： 10.13763/j.cnki.jhebnu.nse.202405003

Analysis on Efficiency and Influencing Factors of Green Industrial Development of Nine Provinces(Regions) Along the Yellow River Basin

摘要/Abstract

摘要：

工业绿色发展是黄河流域生态保护和高质量发展的重要体现.基于2011—2019年面板数据，采用Super-SBM模型和GML指数研究沿黄9省(区)工业绿色发展效率的时空演变规律，同时构建Tobit模型分析该区域工业绿色发展效率的影响因素.结果表明：研究期内，沿黄9省(区)工业绿色发展效率从2011年的0.738 7提升至2019年的0.805 3，虽出现波动，但整体呈上升态势,且工业绿色全要素生产率变动主要受技术进步与规模经济影响，尤其对青海、甘肃、宁夏、山西4省(区)效果最为显著；工业绿色发展效率空间分异明显，呈上游向下游递增格局，内蒙古和陕西2省(区)为稳定性高效率区域，而山西和宁夏2省(区)始终是典型低效率区域，总体来看，黄河上游地区是沿黄9省(区)工业绿色发展的薄弱地带；经济发展水平、人力资本、环境规制与科技创新对沿黄9省(区)工业绿色发展效率产生正向驱动作用，而城镇化、产业结构和对外开放则出现显著负向作用,其中环境规制对中、上游地区的影响效果不显著，城镇化水平和人力资本对中游地区的抑制作用有限，产业结构重化阻碍黄河上游地区绿色发展效率的提升，科技创新对黄河中游地区工业绿色发展效率产生明显负向影响.

Abstract：

Industrial green development is important embodiment of ecological protection and high-quality development in Yellow River Basin.Based on the panel data from 2011 to 2019,Super-SBM model and GML index are used to analyze the spatio-temporal evolution pattern of industrial green development efficiency in the nine provinces(regions) along the Yellow River,and Tobit model is constructed to analyze the influencing factors of industrial green development efficiency in this region.The results show that during the study period,industrial green development efficiency in the nine provinces(regions) along the Yellow River increases from 0.738 7 in 2011 to 0.805 3 in 2019,and although there are fluctuations,it presents increase trend overall.The change of industrial green total factor productivity is mainly influenced by technological progress and scale economy,especially for Qinghai,Gansu,Ningxia and Shanxi provinces(regions),which has the most significant effect.Spatial differentiation of industrial green development efficiency is obvious,presenting increase pattern from upstream to downstream areas.Inner Mongolia and Shaanxi provinces(regions) are stable high-efficiency areas,while Shanxi and Ningxia provinces(regions) are always typical low-efficiency areas.And overall,the upstream areas of the Yellow River is the weak zone of industrial green development in the nine provinces(regions) along the Yellow River.Economic development level,human capital,environmental regulation and science and technology innovation are the main driving forces of indu-strial green development efficiency improvement in the nine provinces(regions) along the Yellow River.In contrast,urbanization,industrial structure and opening to the outside world play a significant hindering role.Among them,environmental regulation has insignificant effect on the middle and upstream areas,while urbanization level and human capital have limited inhibitory effect on industry in the middle area.Heavy industrial structure impedes the improvement of industrial green development efficiency in the upstream area of the Yellow River,and science and technology innovation only has significant negative effect on industrial green development efficiency in the middle area of the Yellow River.

关键词

关键词： 沿黄9省(区)； 工业绿色发展效率； 时空演变； 影响因素
Key words： nine provinces(regions) along the Yellow River Basin ; industrial green development efficiency ; spatiotemporal evolution ; influencing factors

参考文献 26

  • [1] 陈晓东,金碚.黄河流域高质量发展的着力点[J].改革,2019(11):25-32. CHEN Xiaodong,JIN Bei.The Focus of High-quality Development in the Yellow River Basin[J].Reform，2019(11):25-32.
  • [2] 戴志敏,曾宇航,郭露.华东地区工业生态效率面板数据研究——基于整合超效率DEA模型分析[J].软科学,2016,30(7):35-39.doi:10.13956/j.ss.1001-8409.2016.07.08 DAI Zhimin,ZENG Yuhang，GUO Lu.Study of the Industrial Eco-efficiency with the Panel Data in East China:Based on the Super Efficiency DEA Model[J].Soft Science，2016,30(7):35-39.
  • [3] 徐冬冬,黄震方,倪金星,等.江苏省工业生产效率的空间格局演化与影响因素[J].经济地理,2017,37(6):114-121.doi:10.15957/j.cnki.jjdl.2017.06.016 XU Dongdong,HUANG Zhenfang,NI Jinxing,et al.Spatial Pattern Evolution and Influencing Factors of Industrial Production Efficiency in Jiangsu[J].Economic Geography,2017,37(6):114-121.
  • [4] 杨立勋,刘宇宇.中国地区工业产能利用率测度及其影响因素再研究[J].经济体制改革,2017(4):56-63. YANG Lixun,LIU Yuyu.A Further Study on the Measurement of Regional Industrial Productivity Utilization and Influencing Factors in China[J].Reform of Economic System,2017(4):56-63.
  • [5] 钟业喜,徐羽,徐丽婷.江西省城市效率与经济增长协调性研究[J].江西师范大学学报(哲学社会科学版),2017,50(1):125-131.doi:10.3969/j.issn.1000-579x.2017.01.016 ZHONG Yexi,XU Yu,XU Liting.On the Harmony of Urban Efficiency and Economic Growth of the Jiangxi Province[J].Journal of Jiangxi Normal University(Philosophy and Social Sciences),2017,50(1):125-131.
  • [6] 吴传清,黄磊.长江经济带工业绿色发展效率及其影响因素研究[J].江西师范大学学报(哲学社会科学版),2018,51(3):91-99.doi:10.3969/j.issn.1000-579x.2018.03.014 WU Chuanqing,HUANG Lei.A Study of the Efficiency and Impacting Factors of the Green Industrial Development of the Changjiang River Economic Belt[J].Journal of Jiangxi Normal University(Philosophy and Social Sciences),2018,51(3):91-99.
  • [7] 王建民,仇定三,蒋倩颖,等.长江经济带工业绿色发展效率测量与提升路径研究[J].科技管理研究,2019,39(12):46-52.doi:10.3969/j.issn.1000-5795.2019.12.006 WANG Jianmin,QIU Dingsan,JIANG Qianying,et al.Research on Measurement and Promotion Path of Industrial Green Development Efficiency in Yangtze Ｒiver Economic Belt[J].Science and Technology Management Research,2019,39(12):46-52.
  • [8] 刘睿劼，张智慧．环境约束下的中国工业效率地区差异评价[J]．长江流域资源与环境，2012（6）：659-664. LIU Ruijie,ZHANG Zhihui.Assessment on Regional Disparitles of Industrial Efficiency Under Environmental Constraints in China[J].Resource and Environment in the Yangtze Basin,2012（6）：659-664.
  • [9] 吴旭晓.区域工业绿色发展效率动态评价及提升路径研究——以重化工业区域青海、河南和福建为例[J].生态经济,2016,32(2):63-68. WU Xuxiao.Research on the Improving Path and Dynamic Evaluation of Regional Industrial Green Development Efficiency:Taking the Heavy Chemical Industry Zone of Qinghai,Henan and Fujian as Examples[J].Ecological Economy,2016,32(2):63-68.
  • [10] 杨志江,文超祥.中国绿色发展效率的评价与区域差异[J].经济地理,2017,37(3):10-18.doi:10.15957/j.cnki.jjdl.2017.03.002 YANG Zhijiang,WEN Chaoxiang.Evaluation on China′s Green Development Efficiency and Regional Disparity[J].Economic Geography,2017,37(3):10-18.
  • [11] 卢燕群,袁鹏.中国省域工业生态效率及影响因素的空间计量分析[J].资源科学,2017,39(7):1326-1337.doi:10.18402/resci.2017.07.10 LU Yanqun,YUAN Peng.Measurement and Spatial Econometrics Analysis of Provincial Industrial Ecological Efficiency in China[J].Resources Science，2017，39（7）：1326-1337.
  • [12] 马骏,王雪晴.长江经济带工业环境效率差异及其影响因素——基于超效率DEA-Malmquist-Tobit模型[J].河海大学学报(哲学社会科学版),2017,19(3):49-54,92.doi:10.3876/j.issn.16714970.2017.03.009 MA Jun,WANG Xueqing.An Analysis of Industrial Environmental Efficiency Differences and Its Determinants of the Yangtze River Economic Belt Based on Super Efficiency DEA-Malmquist-Tobit Model[J].Journal of Hohai University(Philosophy and Social Sciences)，2017,19(3):49-54,92.
  • [13] 汪克亮,孟祥瑞,杨宝臣,等.基于环境压力的长江经济带工业生态效率研究[J].资源科学,2015,37(7):1491-1501. WANG Keliang,MENG Xiangrui,YANG Baochen,et al.The Industrial Eco-efficiency of the Yangtze River Economic Zone Based on Environmental Pressure[J].Resources Science,2015,37(7):1491-1501.
  • [14] 王晓玲,方杏村.东北老工业基地生态效率测度及影响因素研究——基于DEA-Malmquist-Tobit模型分析[J].生态经济,2017,33(5):95-99. WANG Xiaoling,FANG Xingcun.Eco-efficiency Evaluation and Its Influencing Factors for the Old Northeastern Industrial Base of China on DEA-Malmquist-Tobit Model[J].Ecological Economy,2017,33(5):95-99.
  • [15] 岳立,薛丹.黄河流域沿线城市发展效率时空演变及其影响因素[J].资源科学,2020,42(12):2274-2284.doi:10.18402/resci.2012.12.02 YUE Li,XUE Dan.Spatio-temporal Change of Urban Green Development Efficiency in the Yellow River Basin and Influencing Factors[J].Resources Science,2020,42(12):2274-2284.
  • [16] 张仁杰,董会忠.基于省级尺度的中国工业生态效率的时空演变及影响因素[J].经济地理,2020,40(7):124-132,173.doi:10.15957/j.cnki.jjdl.2020.07.014 ZHANG Renjie,DONG Huizhong.Spatial and Temporal Evolution and Influencing Factors of China′s Industrial Eco-efficiency Based on Provincial Scale[J].Economic Geography,2020,40(7):124-132,173.
  • [17] 黄磊,吴传清.长江经济带城市工业绿色发展效率及其空间驱动机制研究[J].中国人口·资源与环境,2019,29(8):40-49.doi:10.12062/cpre.20190320 HUANG Lei,WU Chuanqing.Industrial Green Development Efficiency and Spatial Driven Mechanism in Cities of the Yangtze River Economic Belt[J].China Population,Resources and Environment,2019,29(8):40-49.
  • [18] TONE K.A Slacks-based Measure of Efficiency in Data Envelopment Analysis[J].European Journal of Opeartionl Re-search,2001，130（3）：498-509.doi:10.1016/s0377-2217(99)00407-5
  • [19] 李凯.基于Super-SBM和Malmquist指数的中国农业生产效率研究[D].武汉:武汉大学,2017. LI Kai.Research on Chinese Agricultural Production Efficiency Based on Super-SBM and Malquist TEP Index[D].Wu han:Wuhan University，2017.
  • [20] 赵良仕,孙才志.基于Global-Malmquist-Luenberger指数的中国水资源全要素生产率增长评价[J].资源科学,2013,35(6):1229-1237. ZHAO Liangshi,SUN Caizhi.Global-Malmquist-Luenberger Index-based Assessment of Total Factor Productivity Growth in Chinese Water Resources[J].Resources Science,2013,35(6):1229-1237.
  • [21] 陈超凡.中国工业绿色全要素生产率及其影响因素——基于ML生产率指数及动态面板模型的实证研究[J].统计研究,2016,33(3):53-62.doi:10.19343/j.cnki.11-1302/C.2016.03.007 CHEN Chaofan.China′s Industrial Green Total Factor Productivity and Its Determinants:An Empirical Study Based on ML Index and Dynamic Panel Data Model[J].Statistical Ｒesearch,2016,33(3):53-62.
  • [22] 吴传清,黄磊,文传浩.长江经济带技术创新效率及其影响因素研究[J].中国软科学,2017(5):160-170.doi:10.3969/j.issn.1002-9753.2017.05.016 WU Chuanqing,HUANG Lei,WEN Chuanhao.Ｒesearch on the Technical Innovation Efficiency and Its Influence Factors of the Yangtze Economic Belt[J].China Soft Science,2017(5):160-170.
  • [23] 黄磊,吴传清,文传浩.三峡库区环境经济社会复合生态系统耦合协调发展研究[J].西部论坛,2017,27(4):83-92.doi:10.3969/j.issn.1674-8131.2017.04.010 HUANG Lei,WU Chuanqing,WEN Chuanhao.Coupling and Coordinated Development of the Three Gorges Reservoir Area′s Compound Ecological System of Environment，Economy and Society[J].West Forum,2017,27(4):83-92.
  • [24] 陈富良,田刚元.黄河流域制造业高质量发展的动力与路径[J].人民黄河,2021,43(9):20-24.doi:10.3969/j.issn.1000-1379.2021.09.004 CHEN Fuliang，TIAN Gangyuan.The Dynamics and Paths of High-quality Development of Manufacturing in the Yellow River Basin[J].Yellow River,2021,43(9):20-24.
  • [25] 田时中,丁雨洁.长三角城市群绿色化测量及影响因素分析:基于 26 城市面板数据熵值-Tobit 模型实证[J].经济地理,2019,39(9):94-103.doi:10.15957/j.cnki.jjdl.2019.09.012 TIAN Shizhong,DING Yujie.Greenization Measurement of Urban Agglomeration in Yangtze River Delta and Its Influence Factors:An Empirical Study Based on the Entropy-Tobit Model of 26 Cities′ Panel Data[J].Economic Geography,2019,39(9):94-103.
  • [26] 郭然,原毅军.环境规制、研发补贴与产业结构升级[J].科学学研究,2020,38(12):2140-2149.doi:10.16192/j.cnki.1003-2053.2020.12.004 GUO Ran,YUAN Yijun.Environment Regulation,R&D Subsidies and Industrial Structure Upgrading[J].Studies in Science of Science,2020,38(12):2140-2149.

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