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Green Economic Effect and Spatial Spillover Effect of Eco-Collaborative Agglomeration |
Li Shengting,Zhou Xiaowei,Wu Zenghai |
(International Business School, Shaanxi Normal University, Xi'an 710119, China) |
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Abstract Industrial agglomeration has gradually become a typical way of natural resources allocation and industrial spatial organization recently, meanwhile, it has been an important engine of China's economic and social development. At present, China's economy is upgrading from scale expansion characterized by "structural acceleration" to high-quality development characterized by "structural deceleration". The regional ecological problems are becoming more and more prominent,and that is caused by the pollutant discharge of the industrial agglomeration. Industrial development faces the dual pressure of industrial structural upgrading and ecological environment improvement.Therefore, it is a key issue related to high-quality development in the future of seeking a balance path between economic development and environmental improvement and enhancing the efficiency of green economy. As the main organization mode of industrial development at the present stage, collaborative agglomeration has many impacts on regional economy and ecology, which needs to be deeply analyzed.#br#The collaborative agglomeration between environmental protection industry(EPI) and manufacturing industry is a subdivision mode of industry heterogeneity. This paper named it eco-collaborative agglomeration according to its significant ecological closed-loop function and positive environmental externalities on the basis of comparing its cause, effect and correlation with general collaborative agglomeration. The eco-collaborative agglomeration index is measured based on location entropy, and the green economic effect and spatial spillover effect of eco-collaborative agglomeration are investigated using The Durbin model SDM, based on the short panel data from 2013 to 2019. Finally, the data were divided into coastal and inland groups, and the differences of the characteristics of the two groups are compared.#br#The results are presented as follows. The green economic efficiency is a comprehensive index to measure sustainable economic development essentially and has the obvious characteristics of path dependence. The level of the current green economy efficiency is greatly affected by the efficiency of the early stage, showing obvious positive feedback and dynamic accumulation effect in it's development process. The U-shaped feature is shown by the promoting effect of eco-collaborative agglomeration on green economic efficiency on a national scale, and there is significant spatial heterogeneity. The degree of eco-collaborative agglomeration is higher in coastal area, which has an effective promotion effect on the efficiency of green economy, while the degree is lower level in inland area, which shows an inhibition effect on the efficiency of green economy. The eco-collaborative agglomeration has a positive spatial spillover effect, and the eco-collaborative agglomeration in neighboring areas has a significant positive impact on the improvement of local green economic efficiency, however, the spillover effect in coastal areas is much greater than that in inland areas. The environmental regulation can promote the efficiency of green economy through ecological agglomeration. At present, the effect of environmental regulation in coastal areas shows postitive, while the effect in inland areas shows shading effect. In addition, the regulation spillover effect in coastal areas is significantly positive, while that in inland areas is significantly negative.#br#According to the conclusions, the corresponding policy suggestions are put forward as follows. It is necessary to form a linkage mechanism between ecological economic evaluation and regulation intensity adjustment, and to control the regulation level within a reasonable range based on the calculation of green economic efficiency index and other indicators according to local development situation. It is necessary to ensure the strong execution and level of regulations, and to promote the growth of EPI, which can expand the scale of terminal treatment of industrial pollution to improve the efficiency of the green economy. The governments in coastal area should further stabilize and gradually improve the level of environmental regulation to force the optimization of manufacturing structure and adoption of cleaner technology. The governments of inland areas should maintain a reasonable ecological regulatory bottom line to prevent "pollution paradise" phenomenon, meanwhile, the governments should start ecological index evaluation and multi-stage warning mechanism to adjust the regulation intensity according to the results of evaluation in time, in order to maintain the regional ecological environment quality. Only in this way can they get out of the trap of "sacrificing environment for economy". Finally, it is equally important to establish and improve the policy system of supporting EPI, to build a third-party network operation platform suitable for the development of EPI. It is very important to include regional ecological quality and social welfare evaluation indicators into the scope of inspection of local officials' achievements, and to formulate reasonable and appropriate development strategies in accordance with local conditions, so as to promote regional sustainable and high-quality coordinated development effectively. The conclusion can provide important reference for decision-making in how ecological agglomeration promotes regional green economy efficiency and high-quality development.#br#
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Received: 05 July 2021
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[1] 齐亚伟.空间集聚、经济增长与环境污染之间的门槛效应分析[J].华东经济管理,2015,29(10):72-78.[2] 韩峰,阳立高.生产性服务业集聚如何影响制造业结构升级:一个集聚经济与熊彼特内生增长理论的综合框架[J].管理世界,2020,36(2):72-94,219.[3] 于斌斌.生产性服务业集聚如何促进产业结构升级:基于集聚外部性与城市规模约束的实证分析[J].经济社会体制比较,2019,35(2):30-43.[4] 郝凤霞,王宇冰,楼永.区域服务化视角下产业协同集聚效应研究[J].科技进步与对策,2021,38(13):55-63.[5] 于斌斌.生产性服务业集聚能提高制造业生产率吗:基于行业、地区和城市异质性视角的分析[J].南开经济研究,2017,33(2):112-132.[6] YANG F F,YEH A G O,WANG J J.Regional effects of producer services on manufacturing productivity in China[J].Applied Geography,2018,97:263-274.[7] 邵帅,张可,豆建民.经济集聚的节能减排效应:理论与中国经验[J].管理世界,2019,35(1):36-60,226.[8] 金浩,刘肖.产业协同集聚、技术创新与经济增长:一个中介效应模型[J].科技进步与对策,2021,38(11):46-53.[9] 何文举,张华峰,陈雄超,等.中国省域人口密度、产业集聚与碳排放的实证研究:基于集聚经济、拥挤效应及空间效应的视角[J].南开经济研究,2019,35(2):207-225.[10] 陈钊,陈乔伊.中国企业能源利用效率:异质性、影响因素及政策含义[J].中国工业经济,2019,36(12):78-95.[11] 林伯强,谭睿鹏.中国经济集聚与绿色经济效率[J].经济研究,2019,54(2):119-132.[12] LIU Y B,YUAN H X, FENG Y D. Spatial spillover and threshold effects for emissions reduction of industrial agglomeration[J]. Appl.Stat.Manage, 2018,37(2):224-234.[13] CHEN C F,SUN Y W,LAN Q X,et al.Impacts of industrial agglomeration on pollution and ecological efficiency:a spatial econometric analysis based on a big panel dataset of China's 259 cities[J].Journal of Cleaner Production,2020,258:120721.[14] 胡求光,周宇飞.开发区产业集聚的环境效应:加剧污染还是促进治理[J].中国人口·资源与环境,2020,30(10):64-72.[15] HONG Y,LYU X,CHEN Y,et al.Industrial agglomeration externalities,local governments' competition and environmental pollution:evidence from Chinese prefecture-level cities[J].Journal of Cleaner Production,2020,277:123455.[16] 陈建军,刘月,邹苗苗.产业协同集聚下的城市生产效率增进:基于融合创新与发展动力转换背景[J].浙江大学学报(人文社会科学版),2016,46(3):150-163.[17] MARSHALL A.Principles of economics[M].London:Palgrave Macmillan UK,2013.[18] PORTER M E.The competitive advantage of nations[M].New York: Free Press,1990.[19] KRUGMAN P.Increasing returns and economic geography[J].Journal of Political Economy,1991,99(3):483-499.[20] ELLISON G,GLAESER E L.Geographic concentration in US manufacturing industries:a dartboard approach[J].Journal of Political Economy,1997,105(5):889-927.[21] 谭洪波.生产者服务业与制造业的空间集聚:基于贸易成本的研究[J].世界经济,2015,38(3):171-192.[22] 李晟婷,周晓唯,李娟伟.供给侧与需求侧产业政策效应的异质性与协同性:基于中国环保产业的系统动力学仿真分析[J].西部论坛,2020,30(4):24-36.[23] JACOBS J.The economy of cities[M].New York: Random House,1969.[24] 陈建军,刘月,陈怀锦.市场潜能、协同集聚与地区工资收入:来自中国151个城市的经验考察[J].南开学报(哲学社会科学版),2016,62(1):77-88.[25] 孙博文,孙久文.长江经济带市场一体化的空间经济增长与非对称溢出效应[J].改革,2019,32(3):72-86.[26] 安同良,杨晨.互联网重塑中国经济地理格局:微观机制与宏观效应[J].经济研究,2020,55(2):4-19.[27] 唐红祥,王业斌,王旦,等.中国西部地区交通基础设施对制造业集聚影响研究[J].中国软科学,2018,33(8):137-147.[28] SUN B W,LI H M,ZHAO Q Y.Logistics agglomeration and logistics productivity in the USA[J].The Annals of Regional Science,2018,61(2):273-293.[29] UGARTE M D.Introduction to spatial econometrics[J].Journal of the Royal Statistical Society,Series A.Statistics in Society,2011,174(2):513-514.[30] 金刚,沈坤荣.以邻为壑还是以邻为伴:环境规制执行互动与城市生产率增长[J].管理世界,2018,34(12):43-55.[31] ELHORST J P.Specification and estimation of spatial panel data models[J].International Regional Science Review,2003,26(3):244-268.[32] TONE K,TSUTSUI M.An epsilon-based measure of efficiency in DEA:a third pole of technical efficiency[J].European Journal of Operational Research,2010,207(3):1554-1563.[33] GETIS A.Spatial weights matrices[J].Geographical Analysis,2009,41(4):404-410.[34] DURANTON G,PUGA D.Micro-foundations of urban agglomeration economies[J].Handbook of Regional and Urban Economics,2004,4:2063-2117.[35] 陈国亮,陈建军.产业关联、空间地理与二三产业共同集聚:来自中国212个城市的经验考察[J].管理世界,2012,28(4):82-100.[36] 杨仁发.产业集聚与地区工资差距:基于我国269个城市的实证研究[J].管理世界,2013,29(8):41-52. |
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