Abstract
When the process of urbanization has brought economic benefits in the Yangtze River Delta of China, environmental pollution becomes increasingly prominent. In order to achieve integrated sustainable green development and reduce the gap in environmental governance performance between regions, this study analyzed the environmental issues of provincial cities in Anhui Province from 2013 to 2017 in the urban agglomeration of Yangtze River Delta. Governance performance is analyzed and the evaluation index system framework is determined using the “pressure-state-response” model with the panel and spatial data. Based on the global principal component analysis method and spatial autocorrelation analysis, the environmental governance performance of Anhui Province has generally increased steadily from 2013 to 2017. The situation in northern Anhui is still developing in a good state. Southern Anhui is in a trend of rising first and then stabilizing, whereas central Anhui has a downward trend after a rapid rise; in terms of the spatial pattern, the overall situation is central Anhui > northern Anhui > southern Anhui. The urban spatial distribution pattern of the region shows a positive spatial correlation. Particularly, the performance levels of Maanshan City and Huainan City have been at a poor level for a long time, whereas Hefei and Huangshan have strong comprehensive environmental governance capabilities with average efficiency values of 0.55 and 0.47, respectively. Corresponding countermeasures have been proposed to rectify polluting enterprises and optimize structure of industries, increase scientific and technological investment and infrastructure construction, strengthen the radiation driving effects, and establish a pollution monitoring system. Based on all the analyses and resulted findings, we concluded the study with corresponding policy implications/suggestions and recommended countermeasures.
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References
Andrée BPJ, Chamorro A, Spencer P, Koomen E, Dogo H (2019) Revisiting the relation between economic growth and the environment; a global assessment of deforestation, pollution and carbon emission. Renew Sust Energ Rev 114:109221. https://doi.org/10.1016/j.rser.2019.06.028
Anhui Provincial Bureau of Statistics (2014) Anhui provincial statistical yearbook 2014. China Statistics Press, Beijing (in Chinese)
Anhui Provincial Bureau of Statistics (2015) Anhui provincial statistical yearbook 2015. China Statistics Press, Beijing (in Chinese)
Anhui Provincial Bureau of Statistics (2016) Anhui provincial statistical yearbook 2016. China Statistics Press, Beijing (in Chinese)
Anhui Provincial Bureau of Statistics (2017) Anhui provincial statistical yearbook 2017. China Statistics Press, Beijing (in Chinese)
Anhui Provincial Bureau of Statistics (2018) Anhui provincial statistical yearbook 2018. China Statistics Press, Beijing (in Chinese)
Chen J, Wei LQ (2019) Comparative study on the setting standards and methods of spatial weight matrix. Ind Technol Innov 2(57-58):61
Cheng R, Li W (2019) Evaluating environmental sustainability of an urban industrial plan under the three-line environmental governance policy in China. J Environ Manag 251:109545. https://doi.org/10.1016/j.jenvman.2019.109545
Cheng R, Li W, Lu Z, Zhou S, Meng C (2020) Integrating the three-line environmental governance and environmental sustainability evaluation of urban industry in China. J Clean Prod 264:121554. https://doi.org/10.1016/j.jclepro.2020.121554
Chiarini B, D’Agostino A, Marzano E, Regoli A (2020) The perception of air pollution and noise in urban environments: a subjective indicator across European countries. J Environ Manag 263:110272. https://doi.org/10.1016/j.jenvman.2020.110272
Cole MA, Elliott RJR (2003) Determining the trade–environment composition effect: the role of capital, labor and environmental regulations. J Environ Econ Manag 46:363–383. https://doi.org/10.1016/S0095-0696(03)00021-4
Dong C, Loy CC, He K, Tang X (2016) Image super-resolution using deep convolutional networks. IEEE T Pattern Anal 2016(38):295–307. https://doi.org/10.1109/TPAMI.2015.2439281
Gao X, Shi C, Zhai K (2018) An evaluation of environmental governance in urban China based on a hesitant fuzzy linguistic analytic network process. Int J Environ Res Public Health 15(11):2456. https://doi.org/10.3390/ijerph15112456
Gómez-Losada Á, Pires JCM, Pino-Mejías R (2016) Characterization of background air pollution exposure in urban environments using a metric based on hidden Markov models. Atmos Environ 127:255–261. https://doi.org/10.1016/j.atmosenv.2015.12.046
Guo XD, Hao C, Wang B (2019) Environmental performance evaluation and influencing factors analysis of Hubei Province from a spatial perspective. China Environ Sci 4456-4463(in Chinese):39. https://doi.org/10.19674/j.cnki.issn1000-6923.2019.0519
Hao CX, Shao CF, Dong ZF, Zhao YH (2020) Analysis on 2020 global environmental performance index report. Environ Prot 68-72(in Chinese):48. https://doi.org/10.14026/j.cnki.0253-9705.2020.16.014
Huang C, Liu K, Zhou L (2020) Spatio-temporal trends and influencing factors of pm 2.5 concentrations in urban agglomeration in China between 2000 and 2016. Environ Sci Pollut Res Int. https://doi.org/10.1007/s11356-020-11357-z
Huang R, Nie Y, Duo L, Zhang X, Wu Z, Xiong J (2021) Construction land suitability assessment in rapid urbanizing cities for promoting the implementation of United Nations sustainable development goals: a case study of Nanchang, China. Environ Sci Pollut Res Int. https://doi.org/10.1007/s11356-020-12336-0
Johnson KM, Voss PR, Hammer RB, Fuguitt GV, Mcniven S (2005) Temporal and spatial variation in age-specific net migration in the United States. Demography 42:791–812. https://doi.org/10.1353/dem.2005.0033
Khan ZI, Safdar H, Ahmad K, Wajid K, Bashir H, Ugulu I, Dogan Y (2019) Health risk assessment through determining bioaccumulation of iron in forages grown in soil irrigated with city effluent. Environ Sci Pollut Res Int 26(14):14277–14286. https://doi.org/10.1007/s11356-019-04721-1
Khan ZI, Ahmad K, Safdar H, Ugulu I (2020) Monitoring of zinc profile of forages irrigated with city effluent. Pak J Environ Chem 21(2):303–313. https://doi.org/10.21743/pjaec/2020.12.32
Leenders RTAJ (2002) Modeling social influence through network autocorrelation: constructing the weight matrix. Soc Networks 24(1):21–47. https://doi.org/10.1016/S0378-8733(01)00049-1
Lestari P, Trihadiningrum Y (2019) The impact of improper solid waste management to plastic pollution in Indonesian coast and marine environment. Mar Pollut Bull 149:110505. https://doi.org/10.1016/j.marpolbul.2019.110505
Ling TY (2021) Investigating the malleable socioeconomic resilience pathway to urban cohesion: a case of Taipei metropolitan area. Environ Dev Sustain 10:1–26. https://doi.org/10.1007/s10668-020-01197-9
Ma YY, Guo J, Zhang KL (2018) Regional innovation capability evaluation research of Northeast China based on global principal component analysis. Sci Manag 38:18–26. (in Chinese). https://doi.org/10.3969/j.issn.1003-8256.2018.06.003
Matsumoto K, Makridou G, Doumpos M (2020) Evaluating environmental performance using data envelopment analysis: the case of European countries. J Clean Prod 272:122637. https://doi.org/10.1016/j.jclepro.2020.122637
Meng X, Di QB, Ji JW (2020) Measurement on the level of the urban ecological performance and analysis of influential factors in Beijing-Tianjin-Hebei urban agglomeration. Econ Geogr 40:181–186, 225. (in Chinese. https://doi.org/10.15957/j.cnki.jjdl.2020.01.020
Morrison TH, Adger WN, Brown K, Lemos MC, Huitema D, Phelps J, Evans L, Cohen P, Song AM, Turner R, Quinn T, Hughes TP (2019) The black box of power in polycentric environmental governance. Glob Environ Chang 57:101934. https://doi.org/10.1016/j.gloenvcha.2019.101934
Namlu AG, Odabasi HF (2007) Unethical computer using behavior scale: a study of reliability and validity on Turkish university students. Comput Educ 48(2):205–215. https://doi.org/10.1016/j.compedu.2004.12.006
Natalia MG, Oswaldo DFD (2021) Classifying and studying environmental performance of manufacturing organizations evidence from Colombia. J Clean Prod 27:123845. https://doi.org/10.1016/j.jclepro.2020.123845
Niemeijer D, de Groot RS (2008) A conceptual framework for selecting environmental indicator sets. Ecol Indic 8(1):14–25. https://doi.org/10.1016/j.ecolind.2006.11.012
Peng BH, Tu Y, Elahi E, Wei G (2018) Extended producer responsibility and corporate performance: effects of environmental regulation and environmental strategy. J Environ Manag 218:181–189. https://doi.org/10.1016/j.jenvman.2018.04.068
Peng BH, Chen H, Elahi E, Wei G (2020) Study on the spatial differentiation of environmental governance performance of Yangtze river urban agglomeration in Jiangsu province of China. Land Use Policy 99:105063. https://doi.org/10.1016/j.landusepol.2020.105063
Ronan FMN, Luis EP, Fued AJ, Arthur NF (2020) Environmental performance index for Brazilian public airports: the Infraero experience. Environ Sci Policy 112:164–171. https://doi.org/10.1016/j.envsci.2020.05.023
Ugulu I, Khan ZI, Rehman S, Ahmad K, Munir M, Bashir H, Nawaz K (2019) Trace metal accumulation in Trigonella foenum-graecum irrigated with wastewater and human health risk of metal access through the consumption. Bull Environ Contam Toxicol 103(3):468–475. https://doi.org/10.1007/s00128-019-02673-3
United Nations General Assembly (2015) Transforming our world: the 2030 agenda for sustainable development. United Nations’ websites: https://sdgs.un.org/2030agenda; https://www.unfpa.org/resources/transforming-our-world-2030-agenda-sustainable-development
Vardoulakis S, Salmond J, Krafft T, Morawska L (2020) Urban environmental health interventions towards the sustainable development goals. Sci Total Environ 748:141530. https://doi.org/10.1016/j.scitotenv.2020.141530
Wang HF (2020) Temporal and spatial analysis of county agricultural efficiency in Anhui Province based on SSBM-ESDA model. Econ Geogr 40:175–183, 222. (in Chinese. https://doi.org/10.15957/j.cnki.jjdl.2020.04.020
Wang Q, Yang ZM (2016) Industrial water pollution, water environment treatment, and health risks in China. Environ Pollut 218:358–365. https://doi.org/10.1016/j.envpol.2016.07.011
Wang T, Yuan ZW (2017) Environmental performance evaluation in Jiangsu Province based on pressure-state-response model. Chin J Environ Manag 59-65(in Chinese):9. https://doi.org/10.16868/j.cnki.1674-6252.2017.03.059
Wang MH, He Y, Sen B (2019) Research and management of plastic pollution in coastal environments of China. Environ Pollut 248:898–905. https://doi.org/10.1016/j.envpol.2019.02.098
William EO (2020) Novel metric for managing the protection of humanity and the environment against pollution and its adverse effects. Heliyon 6(11):e05555. https://doi.org/10.1016/j.heliyon.2020.e05555
Xu XL, Huang GH, Liu LR, He CY (2019) A factorial environment-oriented input-output model for diagnosing urban air pollution. J Clean Prod 237:117731. https://doi.org/10.1016/j.jclepro.2019.117731
Yan HK (2019) Urbanization quality measurement and comparison based on global principal component analysis-taking henan province as an example. J Jiyuan Vocat Tech Coll 18:50–59. (in Chinese. https://doi.org/10.3969/j.issn.1672-0342.2019.04.011
Yang Z, Li X, Wang Y, Chang J, Liu X (2021) Trace element contamination in urban topsoil in China during 2000-2009 and 2010-2019: pollution assessment and spatiotemporal analysis. Sci Total Environ 758:143647. https://doi.org/10.1016/j.scitotenv.2020.143647
Zhang N, Choi Y (2013) A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea. Energ Policy 62:324–332. https://doi.org/10.1016/j.enpol.2013.07.060
Zhang J, Ni SQ, Wu WJ, Huang X, Jiang HQ, Li QQ, Wang JN, Wu GF, Zorn C, Yu CQ (2019) Evaluating the effectiveness of the pollutant discharge permit program in China: a case study of the nenjiang river basin. J Environ Manag 251:109501. https://doi.org/10.1016/j.jenvman.2019.109501
Zhang Y, Li X, Jiang F, Song Y, Xu M (2020) Industrial policy, energy and environment efficiency: evidence from Chinese firm-level data. J Environ Manag 260:110123. https://doi.org/10.1016/j.jenvman.2020.110123
Chen YG (2013) New Approaches for Calculating Moran's Index of Spatial Autocorrelation. Plos One, 8(7):e68336.https://doi.org/10.1371/journal.pone.0068336
Acknowledgements
The authors are grateful to the referees for their constructive comments. We are also grateful to all the people who help us during research.
Funding
It is jointly funded by the Key Project of Anhui Provincial Educational Commission Social Science Foundation (No. SK2020A0333), Anhui Science and Technology Innovation Strategy and Soft Science Research Project (No. 202006f01050035), the Fuyang Municipal Leaders’ Project of Humanities and Social Sciences (Grant Number FYSK2019QD02), the Fuyang Municipal Science and Technology Research Project (No. SXHZ202009), and the Anhui Province Innovation and Development Research Project (No. 2018CXF163).
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Contribution of the authors is as follows. Kerong Zhang, Youxin Hou, and Wuyi Liu conceived the ideas; Kerong Zhang, Youxin Hou Liangyu Jiang, and Yasong Xu conducted the experiment; Youxin Hou, Kerong Zhang, and Wuyi Liu drafted the manuscript; Kerong Zhang and Wuyi Liu finally revised the manuscript. The authors read and approved the final manuscript.
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Zhang, K., Hou, Y., Jiang, L. et al. Performance evaluation of urban environmental governance in Anhui Province based on spatial and temporal differentiation analyses. Environ Sci Pollut Res 28, 37400–37412 (2021). https://doi.org/10.1007/s11356-021-13203-2
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DOI: https://doi.org/10.1007/s11356-021-13203-2