资源型地区工业集聚对生态效率的影响——基于我国9个典型资源型省份的实证研究

doi:10.13287/j.1001-9332.202006.014

应用生态学报 ›› 2020, Vol. 31 ›› Issue (6): 2039-2048.doi: 10.13287/j.1001-9332.202006.014

资源型地区工业集聚对生态效率的影响——基于我国9个典型资源型省份的实证研究

阎晓^1,2*, 田钰², 李荣杰^1,2

¹山西财经大学资源型经济转型协同创新中心, 太原 030006;
²山西财经大学资源型经济转型发展研究院, 太原 030006

收稿日期:2020-02-25 出版日期:2020-06-15 发布日期:2020-06-15
通讯作者: * E-mail: yanxiao85China@163.com
作者简介:阎晓, 女, 1985年生, 博士, 副教授。主要从事产业生态、生态经济与区域可持续发展研究。E-mail: yanxiao85China@163.com
基金资助:
国家自然科学基金项目(41701630)、教育部人文社会科学研究项目(17YJC790076)和山西省高等学校哲学社会科学研究项目(2017246)资助

Impacts of industrial agglomeration on eco-efficiency in resource-based areas: An empirical study based on nine typical resource-based provinces in China

YAN Xiao^1,2*, TIAN Yu², LI Rong-jie^1,2

¹Cooperative Innovation Center for Transition of Resource-based Economics, Shanxi University of Finance & Economics, Taiyuan 030006, China;
²Research Institute of Transition of Resource-based Economics, Shanxi University of Finance & Economics, Taiyuan 030006, China

Received:2020-02-25 Online:2020-06-15 Published:2020-06-15
Contact: * E-mail: yanxiao85China@163.com
Supported by:
This work was supported by the National Natural Science Foundation of China (41701630), the Ministry of Education Project of Humani-ties and Social Sciences (17YJC790076) and the Program for the Philosophy and Social Sciences Research of Higher Institutions of Shanxi (2017246).

摘要/Abstract

摘要： 资源型地区生态环境与工业经济发展之间的矛盾异常突出。本研究以2006—2015年山西、内蒙古、黑龙江、贵州、云南、陕西、青海、宁夏和新疆9个典型资源型省份为样本,深入研究专业化、相关多样化和无关多样化等不同类型工业集聚对资源型地区生态效率的影响及作用机制。结果表明: 专业化集聚对生态效率具有显著的负向影响,除宁夏以外,多数资源型省份的工业专业化程度呈下降趋势,有利于生态效率的提高。相关多样化集聚对生态效率的影响呈“U”型曲线,山西、青海和宁夏的工业相关多样化程度小于临界值1.49,抑制了生态效率的提高;其他省份已跨越拐点,对生态效率的提升作用已经显现。无关多样化对生态效率具有负向影响,山西、贵州、陕西和黑龙江等省的工业无关多样化程度略有下降,有利于生态效率的提高;其他省份则明显上升,不利于生态效率的改善。研究结论可为资源型地区工业绿色转型路径选择和相关政策制定提供理论依据。

Abstract: The contradiction between ecological environment and industrial economic development is extremely prominent in resource-based areas. We conducted an in-depth research on the effects and mechanisms of different types of industrial agglomeration on eco-efficiency in nine typical resource-based provinces (Shanxi, Inner Mongolia, Heilongjiang, Guizhou, Yunnan, Shaanxi, Qinghai, Ningxia and Xinjiang) from 2006 to 2015, including specialization, related and unrelated diversification. The results showed that the specialization had a negative impact on eco-efficiency. The industrial specialization degree of all provinces except Ningxia showed a downward trend, which was conducive to the improvement of eco-efficiency. The impacts of related diversification on eco-efficiency were characterized by a U-shaped curve. The degrees of related diversification in Shanxi, Qinghai and Ningxia were less than the critical value of 1.49, which inhibited the improvement of eco-efficiency. Other provinces had crossed the inflection point, with a promotion role of related diversification on eco-efficiency. The unrelated diversification had a negative impact on eco-efficiency. The degrees of unrelated diversification in Shanxi, Guizhou, Shaanxi, and Heilongjiang declined slightly, which was conducive to the improvement of eco-efficiency. In other provinces, the unrelated diversification increased significantly, which was not conducive to the improvement of eco-efficiency. Our results could provide theoretical basis for path selection and policy formulation of industrial green transformation in resource-based regions.

阎晓, 田钰, 李荣杰. 资源型地区工业集聚对生态效率的影响——基于我国9个典型资源型省份的实证研究[J]. 应用生态学报, 2020, 31(6): 2039-2048.

YAN Xiao, TIAN Yu, LI Rong-jie. Impacts of industrial agglomeration on eco-efficiency in resource-based areas: An empirical study based on nine typical resource-based provinces in China[J]. Chinese Journal of Applied Ecology, 2020, 31(6): 2039-2048.

参考文献 40

[1]	张复明. 资源型区域面临的发展难题及其破解思路. 中国软科学, 2011(6): 1-9 [Zhang F-M. Development dilemma and its solution in resource-based regions. China Soft Science, 2011(6): 1-9]
[2]	柯善咨, 姚德龙. 工业集聚与城市劳动生产率的因果关系和决定因素. 数量经济技术经济研究, 2008(12): 3-14 [Ke S-Z, Yao D-L. The causal relationship and determinants of industrial agglomeration and urban labor productivity. The Journal of Quantitative & Technical Economics, 2008(12): 3-14]
[3]	师博, 沈坤荣. 政府干预、经济集聚与能源效率. 管理世界, 2013(10): 6-18 [Shi B, Shen K-R. The government intervention, the economic agglomeration and the energy efficiency. Management World, 2013(10): 6-18]
[4]	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. 资源科学, 2017, 39(7): 1326-1337 [Lu Y-Q, Yuan P. Measurement and spatial econome-trics analysis of provincial industrial ecological efficiency in China. Resources Science, 2017, 39(7): 1326-1337]
[5]	李在军, 胡美娟, 周年兴. 中国地级市工业生态效率空间格局及影响因素. 经济地理, 2018, 38(12): 126-134 [Li Z-J, Hu M-J, Zhou N-X. The spatial pattern and influencing factors of industrial eco-efficiency in Chinese prefecture-level cities. Economic Geography, 2018, 38(12): 126-134]
[6]	Jacobs J. The Economy of Cities. New York: Random House, 1969: 50-56
[7]	Frenken K, Oort FV, Verburg T. Related variety, unrelated variety and regional economic growth. Regional Studies, 2007, 41: 685-697
[8]	Lehni M. WBCSD Project on Eco-efficiency Metrics & Reporting. Geneva: World Business Council for Sustai-nable Development, 1998
[9]	王义琛, 王远, 朱晓东, 等. 安徽省铜陵市生态效率变化及其驱动因素. 应用生态学报, 2011, 22(2): 460-466 [Wang Y-C, Wang Y, Zhu X-D, et al. Eco-efficiency change and its driving factors in Tongling City of Anhui Province. Chinese Journal of Applied Ecology, 2011, 22(2): 460-466]
[10]	Schmidheiny S, Stigson B. Eco-efficiency: Creating More Value with Less Impact. Geneva: World Business Council for Sustainable Development, 2000
[11]	沈能, 赵增耀, 周晶晶. 生产要素拥挤与最优集聚度识别. 中国工业经济, 2014(5): 83-95 [Shen N, Zhao Z-Y, Zhou J-J. Congestion of production factors and optimal agglomeration recognition. China Industrial Economics, 2014(5): 83-95]
[12]	薄文广. 外部性与产业增长. 中国工业经济, 2007(1): 37-44 [Bo W-G. Externalities and industrial economic growth. China Industrial Economics, 2007(1): 37-44]
[13]	孙晓华, 柴玲玲. 相关多样化、无关多样化与地区经济发展. 中国工业经济, 2012(6): 5-17 [Sun X-H, Chai L-L. Related diversification, unrelated diversification and regional economic development. China Industrial Economics, 2012(6): 5-17]
[14]	苏红键, 赵坚. 相关多样化、不相关多样化与区域工业发展. 产业经济研究, 2012(2): 26-32 [Su H-J, Zhao J. Related variety, unrelated variety and regional industry development. Industrial Economics Research, 2012(2): 26-32]
[15]	赵艳平, 王鹏玉, 谢元涛. 基于PSTR模型的地区工业集聚与经济增长非线性效应检验. 工业技术经济, 2018(7): 88-94 [Zhao Y-P, Wang P-Y, Xie Y-T. The nonlinear of industry agglomeration on economic growth in China: An empirical study on the PSTR model. Journal of Industrial Technological Economics, 2018(7): 88-94]
[16]	马剑锋, 秦腾, 佟金萍, 等. 工业集聚、城市集聚与水资源消耗. 软科学, 2018, 32(1): 95-99 [Ma J-F, Qin T, Tong J-P, et al. Industrial agglomeration, urban agglomeration and water consumption. Soft Science, 2018, 32(1): 95-99]
[17]	Dong F, Wang Y, Zheng L, et al. Can industrial agglomeration promote pollution agglomeration? Evidence from China. Journal of Cleaner Production, 2020, 246: 118-960
[18]	王晓硕, 宇超逸. 空间集聚对中国工业污染排放强度的影响. 中国环境科学, 2017, 37(4): 1562-1570 [Wang X-S, Yu C-Y. Impact of spatial agglomeration on industrial pollution emissions intensity in China. China Environmental Science, 2017, 37(4): 1562-1570]
[19]	王素凤, Pascale C, 潘和平, 等. 工业集聚、城镇化与环境污染. 科技管理研究, 2017(11): 217-223 [Wang S-F, Pascale C, Pan H-P, et al. Industrial agglomeration, urbanization and environmental pollution. Science and Technology Management Research, 2017(11): 217-223]
[20]	王艳华, 苗长虹, 胡志强, 等. 专业化、多样性与中国省域工业污染排放的关系. 自然资源学报, 2019, 34(3): 586-599 [Wang Y-H, Miao C-H, Hu Z-Q, et al. Specialization, diversity and their impacts on China’s provincial industrial pollution emissions. Journal of Natural Resources, 2019, 34(3): 586-599]
[21]	胡志强, 苗长虹. 中国污染产业转移的时空格局及其与污染转移的关系. 软科学, 2018, 32(7): 39-43 [Hu Z-Q, Miao C-H. The spatiotemporal pattern of China’s pollution industry transfer and its relationship with pollution transfer. Soft Science, 2018, 32(7): 39-43]
[22]	李成宇, 张士强, 张伟. 中国省际工业生态效率空间分布及影响因素研究. 地理科学, 2018, 38(12): 1970-1978 [Li C-Y, Zhang S-Q, Zhang W. Spatial distribution characteristics and influencing factors of China’s inter provincial industrial eco-efficiency. Scientia Geographica Sinica, 2018, 38(12): 1970-1978]
[23]	吴鸣然, 赵敏. 市场化的联结与推动对工业集聚与工业生态效率的影响. 南京工业大学学报:社会科学版, 2017, 16(4): 115-123 [Wu M-R, Zhao M. The effect of linking and promotion of marketization on industrial agglomeration and industrial ecology efficiency. Journal of Nanjing Tech University: Social Science, 2017, 16(4): 115-123]
[24]	张复明. 资源型经济: 理论解释、内在机制与应用研究. 博士论文. 太原: 山西大学, 2007 [Zhang F-M. Resource-based Economy: Theory Explanation, Internal Mechanism and Application Research. PhD Thesis. Taiyuan: Shanxi University, 2007]
[25]	Yu JH, Li JM, Zhang WZ. Identification and classification of resource-based cities in China. Journal of Geographical Sciences, 2019, 29: 1300-1314
[26]	国家统计局. 国家数据 [EB/OL]. (2020-02-02) [2020-03-20]. http://data.stats.gov.cn/easyquery.htm?cn=E0103 [National Bureau of Statistics of China. National Data [EB/OL]. (2020-02-02) [2020-03-20]. http://data.stats.gov.cn/easyquery.htm?cn=E0103]
[27]	国家统计局. 中国统计年鉴. 北京: 中国统计出版社, 2007—2016 [National Bureau of Statistics of China. China Statistical Yearbook. Beijing: China Statistics Press, 2007-2016]
[28]	国家统计局工业统计司. 中国工业统计年鉴. 北京:中国统计出版社, 2007—2016 [Department of Industry Statistics, National Bureau of Statistics of China. China Industry Statistical Yearbook. Beijing: China Statistics Press, 2007-2016]
[29]	国家统计局和环境保护部. 中国环境统计年鉴. 北京:中国统计出版社, 2007—2016 [National Bureau of Statistics and Ministry of Environmental Protection of China. China Statistical Yearbook on Environment. Beijing: China Statistics Press, 2007-2016]
[30]	单豪杰. 中国资本存量K的再估算: 1952—2006年. 数量经济技术经济研究, 2008, 25(10): 17-31 [Shan H-J. Re-estimating the capital stock of China: 1952-2006. The Journal of Quantitative & Technical Economics, 2008, 25(10): 17-31]
[31]	Marshall A. Principles of Economics. London: MacMillan, 1890
[32]	魏后凯. 现代区域经济学. 北京: 经济管理出版社, 2011: 163-171 [Wei H-K. Modern Regional Econo-mics. Beijing: Economic & Management Press, 2011: 163-171]
[33]	潘文卿, 李子奈, 刘强. 中国产业间的技术溢出效应: 基于35个工业部门的经验研究. 经济研究, 2011, 46(7): 18-29 [Pan W-Q, Li Z-N, Liu Q. Inter-industry technology spillover effects in China: Evidence from 35 industry sectors. Economic Research Journal, 2011, 46(7): 18-29]
[34]	周俊俊, 樊新刚, 杨美玲, 等. 县域生态效率驱动机制对比——以宁南山区3县为例. 应用生态学报, 2020, 31(1): 239-248 [Zhou J-J, Fan X-G, Yang M-L, et al. Comparison on driving mechanism of county ecological efficiency: With three counties in the mountai-nous area of southern Ningxia, China as an example. Chinese Journal of Applied Ecology, 2020, 31(1): 239-248]
[35]	Fukuyama H, Weber WL. Directional slacks-based measure of technical inefficiency. Social-economic Planning Sciences, 2009, 43: 274-287
[36]	陈诗一. 中国各地区低碳经济转型进程评估. 经济研究, 2012, 47(8): 32-44 [Chen S-Y. Evaluation of low carbon transformation process for Chinese provinces. Economic Research Journal, 2012, 47(8): 32-44]
[37]	Pastor JT, Lovell CAK. A global Malmquist productivity index. Economics Letters, 2005, 88: 266-271
[38]	成刚. 数据包络分析方法与MaxDEA软件. 北京: 知识产权出版社, 2014: 200-201 [Cheng G. Data Envelopment Analysis: Methods and MaxDEA Software. Beijing: Intellectual Property Press, 2014: 200-201]
[39]	邵帅, 范美婷, 杨莉莉. 资源产业依赖如何影响经济发展效率. 管理世界, 2013(2): 32-63 [Shao S, Fan M-T, Yang L-L. How does resource industry dependence affect economic development efficiency. Management World, 2013(2): 32-63]
[40]	万道侠, 胡彬, 李叶. 相关多样化、无关多样化与城市创新. 财经科学, 2019(5): 56-64 [Wan D-X, Hu B, Li Y. Related variety, unrelated variety and urban economic growth. Finance & Economics, 2019(5): 56-64]

资源型地区工业集聚对生态效率的影响——基于我国9个典型资源型省份的实证研究

Impacts of industrial agglomeration on eco-efficiency in resource-based areas: An empirical study based on nine typical resource-based provinces in China

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 40

相关文章 0

编辑推荐

Metrics

本文评价