Special Forum of "Theory and Practice of Urban Rural Integration Development in Huaihai Economic Zone"

Spatio-temporal pattern and driving factors of urban-rural green development efficiency in Lunan Economic Belt

Expand
  • 1. College of Geography and Tourism, Qufu Normal University, Rizhao 276800, Shandong, China;
    2. Rizhao Key Laboratory of Territory Spatial Planning and Ecological Construction, Rizhao 276800, Shandong, China;
    3. Northeast Institute of Geography and Agricultural Ecology, CAS, Changchun 130102, China;
    4. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China

Received date: 2019-10-24

  Revised date: 2020-05-20

  Online published: 2020-08-28

Abstract

Urban-rural green development efficiency is of great significance to the construction of efficient and low consumption green development model, the sustainable development of social economy and the realization of urban-rural integration. Based on 13-year panel data of 35 counties in Lunan Economic Belt (also known as Southern Shandong Economic Belt), the article estimated the spatio-temporal differentiation characteristics and driving factors of urban-rural green development efficiency in the study area by using DEA-Malmquist index method, decoupling state model of urban-rural green development efficiency, geographic detector and other econometric models. Research shows that: (1) Technological progress is the main source of green TFP growth, but its contribution is declining, while the pure technical efficiency and scale efficiency to green TFP growth is increasing year by year. (2) The growth of green TFP has spatial differentiation, and the high and sub-high efficiency areas of green TFP are different during the research period. The growth tends to concentrate in the northeast and southwest of Shandong province. (3) The decoupling relationship between urban and rural green development efficiency in the study area appears repeatedly, from negative decoupling (coupling) to decoupling and then to negative decoupling. On the whole, the green development of urban and rural areas is in the stage of dynamic change and non-coordination (or low-level coupling). (4) The number of students in ordinary middle schools, grain production and savings deposit balance of urban-rural residents are the driving indexes of urban-rural green development efficiency. The explanatory power of factor interaction on the urban and rural green development efficiency is far greater than that of single factor, reflecting the complexity of the driving factors of urban-rural green development efficiency in the Lunan Economic Belt.

Cite this article

GUO Fu-you, TONG Lian-jun, QIU Fang-dao, XU Li-meng . Spatio-temporal pattern and driving factors of urban-rural green development efficiency in Lunan Economic Belt[J]. JOURNAL OF NATURAL RESOURCES, 2020 , 35(8) : 1972 -1985 . DOI: 10.31497/zrzyxb.20200816

References

[1] 胡鞍钢, 周绍杰. 绿色发展:功能界定、机制分析与发展战略. 中国人口·资源与环境, 2014, 24(1): 14-20.
[HU A G, ZHOU S J.Green development: Functional definition, mechanism analysis and development strategy. China Population, Resources and Environment, 2014, 24(1): 14-20.]
[2] 诸大建. 绿色经济新理念及中国开展绿色经济研究的思考. 中国人口·资源与环境, 2012, 22(5): 40-47.
[ZHU D J.New concept of green economy and consideration of deepening green economy studies in China. China Population, Resources and Environment, 2012, 22(5): 40-47.]
[3] 郭付友, 侯爱玲, 佟连军, 等. 振兴以来东北限制开发区绿色发展水平时空分异与影响因素. 经济地理, 2018, 38(8): 58-66.
[GUO F Y, HOU A L, TONG L J, et al.Spatio-temporal pattern and influencing factors of green development in the northeast restricted development zone since the revitalization of the Northeast China. Economic Geography, 2018, 38(8): 58-66.]
[4] 杨志江, 文超祥. 中国绿色发展效率的评价与区域差异. 经济地理, 2017, 37(3): 10-18.
[YANG Z J, WEN C X.Evaluation on China's green development efficiency and regional disparity. Economic Geography, 2017, 37(3): 10-18.]
[5] 穆学英, 刘凯, 任建兰. 中国绿色生产效率区域差异及空间格局演变. 地理科学进展, 2017, 36(8): 1006-1014.
[MU X Y, LIU K, REN J L.Spatial differentiation and change of green production efficiency in China. Progress in Geography, 2017, 36(8): 1006-1014.]
[6] MACHIBA T.Eco-innovation for enabling resource efficiency and green growth: Development of an analytical framework and preliminary analysis of industry and policy practices. International Economics and Economic Policy, 2010, 7(2-3): 357-370.
[7] NAGESHA N.Role of energy efficiency in sustainable development of small-scale industry clusters: An empirical study. Energy for Sustainable Development, 2008, 12(3): 34-39.
[8] CALLENS I, TYTECA D.Towards indicators of sustainable development for firms: A productive efficiency perspective. Ecological Economics, 1999, 28(1): 41-53.
[9] QU Y, YU Y, APPOLLONI A, et al.Measuring green growth efficiency for Chinese manufacturing industries. Sustainability, 2017, 9: 637-654.
[10] 钱争鸣, 刘晓晨. 中国绿色经济效率的区域差异与影响因素分析. 中国人口·资源与环境, 2013, 23(7): 104-109.
[QIAN Z M, LIU X C.Regional differences in China's green economic efficiency and their determinants. China Population, Resources and Environment, 2013, 23(7): 104-109.]
[11] 王军, 耿建. 中国绿色经济效率的测算及实证分析. 经济问题, 2014, (4): 52-55.
[WANG J, GENG J.Analysis and empirical study on China green economic efficiency. On Economic Problems, 2014, (4): 52-55.]
[12] AHMED E M.Green TFP intensity impact on sustainable East Asian productivity growth. Economic Analysis and Policy, 2012, 42(1): 67-78.
[13] EGILMEZ G, KUCUKVAR M, TATARI O.Sustainability assessment of U.S. Manufacturing sectors: An economic input output-based frontier approach. Journal of Cleaner Production, 2013, 53: 91-102.
[14] ZKARA Y, ATAK M.Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey. Energy, 2015, 93: 495-510.
[15] RAMLI N A, MUNISAMY S.Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure. Economic Modelling, 2015, 47: 219-227.
[16] KORTELAINEN M.Dynamic environmental performance analysis: A malmquist index approach. Ecological Economics, 2008, 64(4): 701-715.
[17] CHARDINE-BAUMANN E, BOTTA-GENOULAZ V.A framework for sustainable performance assessment of supply chain management practices. Computers and Industrial Engineering, 2014, 76: 138-147.
[18] 肖黎明, 张仙鹏. 强可持续理念下绿色创新效率与生态福利绩效耦合协调的时空特征. 自然资源学报, 2019, 34(2): 312-324.
[XIAO L M, ZHANG X P.Spatio-temporal characteristics of coupling coordination between green innovation efficiency and ecological welfare performance under the concept of strong sustainability. Journal of Natural Resources, 2019, 34(2): 312-324.]
[19] 李汝资, 刘耀彬. 1978年以来中国省际全要素生产率时空演变特征研究. 华东经济管理, 2016, 30(7): 57-62.
[LI R Z, LIU Y B.A study on the temporal and spatial evolution characteristics of the Chinese provincial TFP since 1978. East China Economic Management, 2016, 30(7): 57-62.]
[20] 聂玉立, 温湖炜. 中国地级以上城市绿色经济效率实证研究. 中国人口·资源与环境, 2015, 25(5): 409-413.
[NIE Y L, WEN H W.Green economic efficiency of Chinese city at the level of municipality or above. China Population, Resources and Environment, 2015, 25(5): 409-413.]
[21] 林晓, 徐伟, 杨凡, 等. 东北老工业基地绿色经济效率的时空演变及影响机制: 以辽宁省为例. 经济地理, 2017, 37(5): 125-133.
[LIN X, XU W, YANG F, et al.Spatio-temporal characteristics and driving forces of green economic efficiency in old industrial base of Northeastern China: A case study of Liaoning province. Economic Geography, 2017, 37(5): 125-133.]
[22] 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. 生态经济, 2016, 32(2): 63-68.
[WU X X.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. Ecological Economy, 2016, 32(2): 63-68.]
[23] 李汝资, 刘耀彬, 王文刚, 等. 长江经济带城市绿色全要素生产率时空分异及区域问题识别. 地理科学, 2018, 38(9): 1475-1482.
[LI R Z, LIU Y B, WANG W G, et al.Spatial-temporal evolution of green total factor productivity and identification of area problems in the Yangtze River Economic Belt. Scientia Geographica Sinica, 2018, 38(9): 1475-1482.]
[24] 车磊, 白永平, 周亮, 等. 中国绿色发展效率的空间特征及溢出分析. 地理科学, 2018, 38(11): 1788-1798.
[CHE L, BAI Y P, ZHOU L, et al.Spatial pattern and spillover effects of green development efficiency in China. Scientia Geographica Sinica, 2018, 38(11): 1788-1798.]
[25] 吕冰洋, 余丹林. 中国梯度发展模式下经济效率的增进: 基于空间视角的分析. 中国社会科学, 2009, (6): 60-72.
[LYU B Y, YU D L.Improving economic efficiency within the framework of China's tiered development model: An analysis from a spatial perspective. Social Sciences in China, 2009, (6): 60-72.]
[26] 赵林, 张宇硕, 吴迪, 等. 考虑非期望产出的中国省际海洋经济效率测度及时空特征. 地理科学, 2016, 36(5): 671-680.
[ZHAO L, ZHANG Y S, WU D, et al.Marine economic efficiency and spatio-temporal characteristics of inter-province based on undesirable outputs in China. Scientia Geographica Sinica, 2016, 36(5): 671-680.]
[27] 郭付友, 佟连军, 刘志刚, 等. 山东省产业生态化时空分异特征与影响因素: 基于17地市时空面板数据. 地理研究, 2019, 38(9): 2226-2238.
[GUO F Y, TONG L J, LIU Z G, et al.Spatial-temporal pattern and influencing factors of industrial ecology in Shandong province: Based on panel data of 17 cities. Geographical Research, 2019, 38(9): 2226-2238.]
[28] 郭付友, 佟连军, 魏强, 等. 吉林省松花江流域产业系统环境适应性时空分异与影响因素. 地理学报, 2016, 71(3): 459-470.
[GUO F Y, TONG L J, WEI Q, et al.Spatio-temporal difference and influencing factors of environmental adaptability assessment of industrial system in the Songhua River Basin of Jilin province. Acta Geographica Sinica, 2016, 71(3): 459-470.]
[29] 刘耀彬, 袁华锡, 王喆. 文化产业集聚对绿色经济效率的影响: 基于动态面板模型的实证分析. 资源科学, 2017, 39(4): 747-755.
[LIU Y B, YUAN H X, WANG Z.Dynamic panel data modeling of the effects of cultural industry clusters on green economic efficiency. Resources Science, 2017, 39(4): 747-755.]
[30] 赵领娣, 张磊, 徐乐, 等. 人力资本、产业结构调整与绿色发展效率的作用机制. 中国人口·资源与环境, 2016, 26(11): 106-114.
[ZHAO L D, ZHANG L, XU L, et al.Mechanism of human capital, industrial structure adjustment and green development efficiency. China Population, Resources and Environment, 2016, 26(11): 106-114.]
[31] 郭付友, 佟连军, 魏强, 等. 松花江流域(吉林省段)产业系统生态效率时空分异与影响因素. 地理研究, 2016, 35(8): 1483-1494.
[GUO F Y, TONG L J, WEI Q, et al.Spatial-temporal differentiation and influencing factors of industrial system eco-efficiency in the Songhua River Basin of Jilin province. Geographical Research, 2016, 35(8): 1483-1494.]
[32] 叶仁道, 张勇, 罗堃. 中国绿色经济效率的测算及影响因素: 基于偏正态面板数据模型. 技术经济, 2017, 36(11): 79-85.
[YE R D, ZHANG Y, LUO K.Calculation and influence factors of green economic efficiency of China: Based on skew-normal panel data model. Technology Economics, 2017, 36(11): 79-85.]
[33] 张文博, 邓玲, 尹传斌. “一带一路”主要节点城市的绿色经济效率评价及影响因素分析. 经济问题探索, 2017, (11): 84-90.
[ZHANG W B, DENG L, YIN C B.Evaluation of green economy efficiency and analysis of influencing factors of main cities with "One Belt and One Road". Inquiry into Economic Issues, 2017, (11): 84-90.]
[34] 王晓云, 魏琦, 杨秀平. 城市绿色经济效率动态评价及影响因素: 基于285个地级以上城市数据的分析. 生态经济, 2017, 33(2): 68-71.
[WANG X Y, WEI Q, YANG X P.Dynamic evaluation of urban green economy efficiency and its influencing factors: Based on data of 285 cities. Ecological Economy, 2017, 33(2): 68-71.]
[35] 方齐云, 许文静. 新型城镇化建设对绿色经济效率影响的时空效应分析. 经济问题探索, 2017, (10): 69-77.
[FANG Q Y, XU W J.Spatio-temporal effects of new urbanization construction on green economy efficiency. Inquiry into Economic Issues, 2017, (10): 69-77.]
[36] 张国俊, 邓毛颖, 姚洋洋, 等. 广东省产业绿色发展的空间格局及影响因素分析. 自然资源学报, 2019, 34(8): 1593-1605.
[ZHANG G J, DENG M Y, YAO Y Y, et al.Comprehensive level of the green development of industry in Guangdong province and spatial econometric analysis of the influencing factors. Journal of Natural Resources, 2019, 34(8): 1593-1605.]
[37] 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. 中国人口·资源与环境, 2019, 29(8): 40-49.
[HUANG L, WU C Q.Industrial green development efficiency and spatial driven mechanism in cities of the Yangtze River Economic Belt. China Population, Resources and Environment, 2019, 29(8): 40-49.]
[38] PAPETTI A, MENGHI R, DOMIZIO G D, et al.Resources value mapping: A method to assess the resource efficiency of manufacturing systems. Applied Energy, 2019, 249: 326-342.
[39] 狄乾斌, 梁倩颖. 中国海洋生态效率时空分异及其与海洋产业结构响应关系识别. 地理科学, 2018, 38(10): 1606-1615.
[DI Q B, LIANG Q Y.Spatio-temporal difference of marine eco-efficiency and identification of its response relationship with marine industrial structure in China. Scientia Geographica Sinica, 2018, 38(10): 1606-1615.]
[40] 孙才志, 姜坤, 赵良仕. 中国水资源绿色效率测度及空间格局研究. 自然资源学报, 2017, 32(12): 1999-2011.
[SUN C Z, JIANG K, ZHAO L S.Measurement of green efficiency of water utilization and its spatial pattern in China. Journal of Natural Resources, 2017, 32(12): 1999-2011.]
[41] FARE R, GROSSKOPF S, NORRIS M, et al.Productivity growth, technical progress and efficiency change in industrialized countries. American Economic Review, 1994, 84(5): 1040-1044.
[42] 王贺封, 石忆邵, 尹昌应. 基于DEA模型和Malmquist生产率指数的上海市开发区用地效率及其变化. 地理研究, 2014, 33(9): 1636-1646.
[WANG H F, SHI Y S, YIN C Y.Land use efficiencies and their changes of Shanghai's development zones employing DEA model and Malmquist productivity index. Geographical Research, 2014, 33(9): 1636-1646.]
[43] 刘贺贺, 杨青山, 张郁. 东北地区城镇化与生态环境的脱钩分析. 地理科学, 2016, 36(12): 1860-1869.
[LIU H H, YANG Q S, ZHANG Y.Urbanization and ecological environment effect in Northeast China based on decoupling analysis. Scientia Geographica Sinica, 2016, 36(12): 1860-1869.]
[44] 赵兴国, 潘玉君, 赵庆由, 等. 科学发展视角下的区域经济增长与资源环境压力的脱钩分析: 以云南省为例. 经济地理, 2011, 31(7): 1196-1201.
[ZHAO X G, PAN Y J, ZHAO Q Y, et al.Decoupling analysis between regional economic growth and resources and environmental pressure based on view of scientific development: A case study of Yunnan province. Economic Geography, 2011, 31(7): 1196-1201.]
[45] 王鹤鸣, 岳强, 陆钟武. 中国1998—2008年资源消耗与经济增长的脱钩分析. 资源科学, 2011, 33(9): 1757-1767.
[WANG H M, YUE Q, LU Z W.Decoupling analysis of China's resource consumption and economic growth over the period 1998-2008. Resources Science, 2011, 33(9): 1757-1767.]
[46] 刘怡君, 王丽, 牛文元. 中国城市经济发展与能源消耗的脱钩分析. 中国人口·资源与环境, 2011, 21(1): 70-77.
[LIU Y J, WANG L, NIU W Y.Decoupling research between economic development and energy consumption of China's cities. China Population, Resources and Environment, 2011, 21(1): 70-77.]
[47] 白忠菊, 藏波, 杨庆媛. 基于脱钩理论的城市扩张速度与经济发展的时空耦合研究: 以重庆市为例. 经济地理, 2013, 33(8): 52-60.
[BAI Z J, ZANG B, YANG Q Y.On the degrees of decoupling and re-coupling of spatial and temporal evolution of urban expansion speed and economic development from 2000 to 2010: A case study of Chongqing city. Economic Geography, 2013, 33(8): 52-60.]
[48] TAPIO P.Towards a theory of decoupling: Degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy, 2005, 12(2): 137-151.
[49] 钟太洋, 黄贤金, 王柏源. 经济增长与建设用地扩张的脱钩分析. 自然资源学报, 2010, 25(1): 18-31.
[ZHONG T Y, HUANG X J, WANG B Y.On the degrees of decoupling and re-coupling of economic growth and expansion of construction land in China from 2002 to 2007. Journal of Natural Resources, 2010, 25(1): 18-31.]
[50] WANG J F, LI X H, CHRISTAKOS G, et al.Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China. International Journal of Geographical Information Science, 2010, 24(1): 107-127.
[51] 王劲峰, 徐成东. 地理探测器: 原理与展望. 地理学报, 2017, 72(1): 116-134.
[WANG J F, XU C D.Geodetector: Principle and prospective. Acta Geographica Sinica, 2017, 72(1): 116-134.]
[52] 吕晨, 蓝修婷, 孙威. 地理探测器方法下北京市人口空间格局变化与自然因素的关系研究. 自然资源学报, 2017, 32(8): 1385-1397.
[LYU C, LAN X T, SUN W.A study on the relationship between natural factors and population distribution in Beijing using geographical detector. Journal of Natural Resources, 2017, 32(8): 1385-1397.]
Outlines

/