Agglomeration and green technology innovation efficiency of industrial enterprises – Based on spatial statistical analysis

Journal title

Archives of Environmental Protection








Mingran Wu, School of Management, Nanjing University of Posts and Telecommunications Information Industry Convergence Innovation and Emergency Management Research Center, Nanjing, China ; Weidong Huang: School of Management, Nanjing University of Posts and Telecommunications,Information Industry Convergence Innovation and Emergency Management Research Center, Nanjing, China



Agglomeration of industry; ; Green innovation efficiency; ; Spatial economic

Divisions of PAS

Nauki Techniczne




Polish Academy of Sciences


  1. Anselin, L. (1988) Spatial econometrics: Methods and models, Dordrecht : Kluwer Academic.
  2. Burchart-Korol, D.. & Zawartka, P. (2019). Environmental life cycle assessment of septic tanks in urban wastewater system - a case study for Poland, Archives of Environmental Protection, 45, 4, pp. 68–77. DOI: DOI 10.24425/aep.2019.130243
  3. Charnes, A, Cooper, W.W. & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operation Research, 2 , pp. 429-444.
  4. Chen, S.Y. & Golley, J. (2014). Green productivity growth in China’s industrial economy, Energy Economics, 44, 7, pp. 89-98. DOI: 10.1016/j.eneco.2014.04.002
  5. Copper, W.W., Li, S., Seiford, L.M., et al. (2001) Sensitivity and stability analysis in DEA: Some recent development, Journal of Productivity Analysis, 15, pp. 217-246.
  6. Duranton, G. & Puga, D. (1999). Diversity and specialisation in cities: Why, where and when does it matter?, Urban Studies, 37, 3, 533–555.
  7. Haken, H. (1971). From the Laser to Synergetics: A Scientific Biography of the Early Years, Springer.
  8. Hirte, G. & Tscharaktsciew, S. (2013). The optimal subsidy on electric vehicles in German metropolitan areas:a spatial general equilibrium analysis, Energy economics, 40, pp. 515-528. DOI: 10.1016/j.eneco.2013.08.001
  9. Hu AG, Zhou SJ. (2014) Green development: Functional definition, mechanism analysis and development strategy, China population, resources and environment, 24, 1, pp.14-20.
  10. Humphrey J, Schmitz H. (1996) The triple C approach to local industrial policy, World Development, 24, pp. 1859-1877.
  11. J Adu, M Kumarasamy. (2020) Mathematical model development for non-point source in-stream pollutant transport, Archives of Environmental Protection, 46, 2, pp. 91–99. DOI: DOI 10.24425/aep.2020.133479
  12. Jeon C,Lee J,Shin J. (2015) Optimal subsidy estimation method using system dynamics and the real option model:photovoltaic technology case, Applied energy, 142, pp. 33-43. DOI: 10.1016/j.apenergy.2014.12.067
  13. Ji ZH, Yu W, Zhang P. (2020) Spatial agglomeration of high-tech industries, technological innovation and regional green development efficiency: Empirical evidence based on PVAR model, Macroeconomics, 9, pp. 92-102.
  14. Jiang L. (2016) The choice of spatial econometric models reconsidered in empirical studies, Journal of Statistics and Information, 31, pp. 10-16.
  15. Krugman P. (1991b) Geography and trade, MIT press.
  16. Krugman P. (1992) A dynamic spatial model, National Bureau of Economic Research.
  17. Krugman P. (1993) First nature,second nature,and metropolitan location, Journal of regional science, 33, pp. 129-144. DOI: 10.1111/j.1467-9787.1993.tb00217.x
  18. Krugman P.(1991a) Increasing returns and economic geography, Journal of Political Economy, 99, pp. 483-499.
  19. Kuznetsov A V, Kuznetsova O V. (2019) The success and failure of Russian SEZs: Some policy lessons, Transnational Corporations Journal, United Nations Conference on Trade and Development.
  20. Li XL. (2014) An empirical analysis based on marketization, industrial agglomeration and environmental pollution, Statistical Research, 8, pp. 39-45.
  21. Liu B. (2012) Research on the development strategy of agglomeration of producer service industry in Shanghai, East China Economic Management, 26, 1, pp. 1-3.
  22. Liu J, Cao YR, Wu HT. (2020) The influence of industrial co-agglomeration on regional green innovation, Forum on Science and Technology in China, 4, pp. 42-50.
  23. Liu, S., Zhu, Y. & Du, K. (2017) The impact of industrial agglomeration on industrial pollutant emission: evidence from China under New Normal, Clean Technologies and Environmental Policy, 19, pp. 2327-2334. DOI: 10.1007/s10098-017-1407-0
  24. Luo LW, Liang SR. (2017) The spatial effect of international R&D capital technology spillovers on the efficiency of China's green technology innovation, Business Management Journal, 39, pp. 21-33.
  25. M G Lukaszewska, Z Pawlak, G Sinicyn. (2021) Spatial distribution of the water exchange through river cross-section – measurements and the numerical model, Archives of Environmental Protection, 47,1, pp. 69–79. DOI 10.24425/aep.2021.136450
  26. Marshall, A. (1920). Industry and trade: A study of industrial technique and business organization, London: Mac Millan
  27. MJ Wiatkowski, B Wiatkowska, U Gruss, C Rosik-Dulewska, D Chopek (2021) Assessment of the possibility of implementing small retention reservoirs in terms of the need to increase water resources, Archives of Environmental Protection, 47,1, pp. 80–100. DOI 10.24425/aep.2021.136451
  28. Newman C, Page J M. (2017) Industrial clusters: The case for special economic zones in Africa, Wider Working Paper Series wp-2017-15, World Institute for Development Economic Research (UNU-WIDER).
  29. P M Bochenska, W Rzeznik. (2019) Ammonia emission from livestock production in Poland and its regional diversity, in the years 2005–2017, Archives of Environmental Protection, 45, 4, pp. 114–121. DOI 10.24425/aep.2019.130247
  30. P Tomczyk, M Wiatkowski. (2020) Shaping changes in the ecological status of watercourses within barrages with hydropower schemes – literature review, Archives of Environmental Protection, 46, 4, pp. 78–94. DOI 10.24425/aep.2020.135767
  31. P Wilk, A Grabarczyk. (2018) The effect of selected inviolable flow characteristics on the results of environmental analysis using the example of river absorption capacity, Archives of Environmental Protection, 44, 2, pp. 14–25. DOI 10.24425/119702
  32. Pohl, A. & Kostecki, M.. (2020). Spatial distribution, ecological risk and sources of polycyclic aromatic hydrocarbons (PAHs) in water and bottom sediments of the anthropogenic lymnic ecosystems under conditions of diversified anthropopressure, Archives of Environmental Protection, 46 ,4, pp. 104–120. DOI 10.24425/aep.2020.135769
  33. Porter M.E. (1998) Cluster and the new economics of competition, Harvard Business Review, 76, pp. 11-12.
  34. Qu YF, Yu CQ. (2021) Diversification and specialization of industrial agglomeration and the efficiency of enterprise green technology innovation, Ecological Economy, 37, pp. 61-67.
  35. Shen N, Peng H. (2021) Can industrial agglomeration achieve the emission-reduction effect? Socio-Economic Planning Sciences, 75, pp. 100867. DOI: 10.1016/j.seps.2020.100867
  36. Silvia C, Krause R M. (2016) Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: an agent-based model, Energy policy, 96, pp.105-118. DOI: 10.1016/j.enpol.2016.05.039
  37. Storper M. (1992) The limits to globalization: technology districts and international trade, Economic Geography, 68, pp. 60-93.
  38. Sun H X,et al. (2019) Evolutionary game of the green investment in a two-echelon supply chain under a government subsidy mechanism, Journal of cleaner production, 235, pp.1315-1326. DOI: 10.1016/j.jclepro.2019.06.329
  39. Sun XH, Wang Y. (2014) The influence of firm size on productivity and its difference-Based on the empirical test of industrial firms in China, China Industrial Economics, 5, pp. 57-69.
  40. Turkina E, Van Assche A. (2018) Global connectedness and local innovation in industrial clusters, Journal of International Business Studies, 49, pp. 706-728. DOI: 10.1057/s41267-018-0153-9
  41. Wang H, Miao Z, Wang SQ. (2015) Spatial spillover, industrial agglomeration effect and industrial green innovation efficiency, Forum on Science and Technology in China, 12, pp. 33-38.
  42. Wang MK, Liu YP, Li T. (2019) The differential impact of tourism industrial agglomeration on environmental pollution: Empirical evidence from 287 cities, Reform, 2, pp. 102-114.
  43. Wang XH, Feng YC. (2018) The influence of environmental regulation on China’s circular economy performance, 28, 7, pp. 136-146.
  44. Wu MR, Ma J. (2016) Measurement on regional ecological efficiency in China and analysis on its influencing factors: Based on DEA-Tobit two-stage method, Journal of Technology Economics, 35, 3, pp. 75-80+122.
  45. Wu MR, Zhao M and Wu ZD (2020) An evaluation and variation analysis of sustainable development capacity in different regions of China, International Journal of Environmental Technology and Management, 23, 5-6, pp. 397-413.
  46. Wu MR, Zhao M. (2016) Research on Chinese different regional sustainable development capacity and its spatial differentiation, Shanghai Journal of Economics, 10, pp. 84-92.
  47. Wu MR, Zhao M. (2017) The effect of linking and promotion of marketization on industrial agglomeration and industrial ecology efficiency: Based on an analysis to eastern China region, Journal of Nanjing Tech University (Social Science Edition), 16, pp. 115-123.
  48. Wu MR. (2021) Measurement and spatial statistical analysis of green science and technology innovation efficiency among Chinese provinces, Environmental and Ecological Statistics, 28, pp. 423–444. DOI: 10.1007/s10651-021-00491-7
  49. Xiao ZL, Du XY. (2017) Measurement and convergence in development performance of China’s high-tech industry, Science Technology and Society, 22, pp. 212-235. DOI: 10.1177/0971721817702280
  50. Yang Z, Song T, Chahine. (2016) Spatial representations and policy implications of industrial co-agglomerations, a case study of Beijing, Habitat International, 55, pp. 32-45. DOI: 10.1016/j.habitatint.2016.02.007
  51. Zhang K, Dou JM. (2016) Do Industrial Agglomeration Reduce Emissions? Journal of Huazhong University of Science and Technology (Social Science Edition), 30, 4, pp. 99-109.
  52. Zhao HL, Lin BQ. (2019) Will agglomeration improve the energy efficiency in China’s textile industry: Evidence and policy implications, Applied Energy, 237, pp. 326-337. DOI: DOI: 10.1016/j.apenergy.2018.12.068






DOI: 10.24425/aep.2022.140761



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