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Spatial Differentiation and Influencing Factors of Water Pollution-Intensive Industries in the Yellow River Basin, China

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  • Haibo Du

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Xuepeng Ji

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China)

  • Xiaowei Chuai

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China)

Abstract

The structure adjustment and layout optimization of water pollution-intensive industries (WPIIs) are crucial to the health and sustainable development of the watershed life community. Based on micro-detailed data of Chinese industrial enterprises from 2003 to 2013, we analyzed and revealed the spatial differentiation characteristics and influencing factors of WPIIs in the Yellow River Basin (YRB) from 2003 to 2013 by constructing a water pollution-intensive index and integrating kernel density estimation and geographically weighted regression models from a watershed perspective. The results show that: (1) the scale of WPIIs in the YRB showed a growth trend from 2003 to 2013, and the output value increased from 442.5 billion yuan in 2003 to 6192.4 billion yuan in 2013, an increase of 13 times. (2) WPIIs are generally distributed in an east-west direction, and their spatial distribution is river-side, with intensive distribution in the downstream areas and important tributaries such as Fen River and Wei River. (3) WPIIs are generally clustered in high density downstream, but the spatial clustering characteristics of different industries varied significantly. The chemical industries, paper industries, etc. were mainly concentrated in downstream areas. Processing of food from agricultural products was distributed in the upper, middle and downstream areas. Resource-intensive industries such as coal and oil were concentrated in energy-rich midstream areas. (4) Natural resource endowment was the main factor affecting the distribution of WPIIs in the midstream and upstream areas of the basin, and technological innovation played a significant role in the distribution of downstream industries. The level of economic development and industrial historical foundation promoted the geographical concentration of industries. The scale of wastewater discharge and the proximity of rivers influenced the concentration of industries in the midstream and downstream.

Suggested Citation

  • Haibo Du & Xuepeng Ji & Xiaowei Chuai, 2022. "Spatial Differentiation and Influencing Factors of Water Pollution-Intensive Industries in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(1), pages 1-16, January.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:1:p:497-:d:716732
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    References listed on IDEAS

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    1. Wang, Shaojian & Shi, Chenyi & Fang, Chuanglin & Feng, Kuishuang, 2019. "Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using Geographically Weighted Regression Model," Applied Energy, Elsevier, vol. 235(C), pages 95-105.
    2. Ying She & Yaobin Liu & Yangu Deng & Lei Jiang, 2020. "Can China’s Government-Oriented Environmental Regulation Reduce Water Pollution? Evidence from Water Pollution Intensive Firms," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    3. Mei Ren & Caihong Huang & Xiaomin Wang & Wei Hu & Wenxin Zhang, 2019. "Research on the Distribution of Pollution-Intensive Industries and Their Spatial Effects in China," Sustainability, MDPI, vol. 11(19), pages 1-20, September.
    4. Sigman, Hilary, 2005. "Transboundary spillovers and decentralization of environmental policies," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 82-101, July.
    5. Grether, Jean-Marie & Hotz, Irina & Mathys, Nicole A., 2014. "Industry location in Chinese provinces: Does energy abundance matter?," Energy Economics, Elsevier, vol. 44(C), pages 383-391.
    6. Matthew E. Kahn & Pei Li & Daxuan Zhao, 2015. "Water Pollution Progress at Borders: The Role of Changes in China's Political Promotion Incentives," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 223-242, November.
    7. Cole, Matthew A., 2004. "Trade, the pollution haven hypothesis and the environmental Kuznets curve: examining the linkages," Ecological Economics, Elsevier, vol. 48(1), pages 71-81, January.
    8. Yinhao Wu & Shumin Yu & Xiangdong Duan, 2021. "The Impact of Environmental Regulation on the Location of Pollution-Intensive Industries in China under Agglomeration Effect," IJERPH, MDPI, vol. 18(8), pages 1-14, April.
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