Land Economic Efficiency and Improvement of Environmental Pollution in the Process of Sustainable Urbanization: Case of Eastern China

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Εκδόθηκε σε:Land vol. 10, no. 8 (2021), p. 845
Κύριος συγγραφέας: Chang, Binbin
Άλλοι συγγραφείς: Chen, Lei
Έκδοση:
MDPI AG
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024 7 |a 10.3390/land10080845  |2 doi 
035 |a 2565309802 
045 2 |b d20210101  |b d20211231 
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100 1 |a Chang, Binbin  |u School of Finance and Accounting, Henan University of Animal Husbandry & Economy, Zhengzhou 450046, China; <email>201012@hnuahe.edu.cn</email> 
245 1 |a Land Economic Efficiency and Improvement of Environmental Pollution in the Process of Sustainable Urbanization: Case of Eastern China 
260 |b MDPI AG  |c 2021 
513 |a Journal Article 
520 3 |a Economic development, environmental protection and land resources are important components in sustainable cities. According to the environmental Kuznets curve, developing countries are prone to environmental pollution problems while developing their economies. At the same time, as urbanization progresses, the problem of inadequate land resources and land use efficiency in China is coming to the fore. Although China is a developing country, it began to actively implement environmental protection measures years ago in an effort to transform itself into an innovative country. Therefore, as an economic and policy pioneer region, can eastern China benefit from all three aspects of land–economy–environment at the same time? Or will the increase in land economic efficiency (Land_EcoE) and the improvement of environmental pollution occur simultaneously? With the characteristics of land use efficiency and other concepts, this study combines economic factors and land factors to establish a Land_EcoE evaluation system. On the basis of mapping the spatio-temporal evolution of carbon emissions and Land_EcoE, and discussing the spatio-temporal evolution characteristics and correlation between them initially and visually by means of geographic data visualization, this study uses the data of 84 prefecture-level cities and municipalities directly under the central government in eastern China from 2011 to 2017 to test the research hypotheses from a quantitative perspective. Specifically, this study analyzes the correlation between Land_EcoE and environmental pollution by constructing a panel regression model. The conclusions show that, in general, the increase in Land_EcoE in eastern China is associated with the increase in carbon emissions. For a group of prefecture-level cities with the most developed economies in eastern China, the increase in Land_EcoE is correlated with the decrease in carbon emissions. Based on this research, this study proposes a series of policy implications on how to promote simultaneous economic–land–environmental benefits. 
651 4 |a China 
651 4 |a Taiwan 
651 4 |a Hong Kong China 
653 |a Scientific visualization 
653 |a Evolution 
653 |a Land economics 
653 |a Regression models 
653 |a Efficiency 
653 |a Economic development 
653 |a Land use 
653 |a Energy 
653 |a Developing countries--LDCs 
653 |a Economic factors 
653 |a Carbon 
653 |a Economic growth 
653 |a Economics 
653 |a Smart cities 
653 |a Environmental protection 
653 |a Urbanization 
653 |a Sustainable development 
653 |a Hypotheses 
653 |a Consumption 
653 |a Municipalities 
653 |a Pollution 
653 |a Emissions 
653 |a Environmental Kuznets curve 
653 |a Cities 
653 |a Land resources 
653 |a Land pollution 
700 1 |a Chen, Lei  |u School of Finance and Economics, Jimei University, Xiamen 361023, China 
773 0 |t Land  |g vol. 10, no. 8 (2021), p. 845 
786 0 |d ProQuest  |t Publicly Available Content Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2565309802/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/2565309802/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2565309802/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch