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- W3133950211 endingPage "146089" @default.
- W3133950211 startingPage "146089" @default.
- W3133950211 abstract "Industry structure adjustment is an important way to solve environmental problems. The adjustment of the industrial structure across regions not only needs to meet the goals of each region, but also involves the industrial transfer between regions. The same industry in each region has differences in economic development, energy consumption and carbon emissions. So these regions can reasonably distribute industries in various regions through the industrial transfer to meet their own requirements. A cross-regional multi-objective planning model combined the data envelopment analysis method is put forward to solve the problem of the reasonable industries distribution. The representative result which is selected from the set of different preference solutions reflects the coordination of economic development and environment. In order to distinguish the effects, the results of cross-region and single-region industry structure optimization models are compared. The Yangtze River Delta as a case study is analyzed. The results show that each province can realize the reasonable distribution of industries through the industrial transfer, and complete the phased goals in the 13th Five-Year Plan. Meanwhile, the eco-efficiency of each province is improved and the difference in economy has narrowed. The case provides a basis for other regions to balance development of economy and environmental protection through regional cooperation and division of labor." @default.
- W3133950211 created "2021-03-15" @default.
- W3133950211 creator A5019140570 @default.
- W3133950211 creator A5078448953 @default.
- W3133950211 date "2021-07-01" @default.
- W3133950211 modified "2023-10-14" @default.
- W3133950211 title "The impact of cross-region industrial structure optimization on economy, carbon emissions and energy consumption: A case of the Yangtze River Delta" @default.
- W3133950211 cites W1522204718 @default.
- W3133950211 cites W1617539515 @default.
- W3133950211 cites W1966392319 @default.
- W3133950211 cites W1973396862 @default.
- W3133950211 cites W1973854120 @default.
- W3133950211 cites W1974180288 @default.
- W3133950211 cites W1975299761 @default.
- W3133950211 cites W1975490723 @default.
- W3133950211 cites W1978910423 @default.
- W3133950211 cites W1982755996 @default.
- W3133950211 cites W1984747699 @default.
- W3133950211 cites W1988683969 @default.
- W3133950211 cites W1991027532 @default.
- W3133950211 cites W1993176637 @default.
- W3133950211 cites W2000150961 @default.
- W3133950211 cites W2003089160 @default.
- W3133950211 cites W2003456915 @default.
- W3133950211 cites W2005215704 @default.
- W3133950211 cites W2018511359 @default.
- W3133950211 cites W2020407132 @default.
- W3133950211 cites W2023889273 @default.
- W3133950211 cites W2031729134 @default.
- W3133950211 cites W2040985475 @default.
- W3133950211 cites W2042256113 @default.
- W3133950211 cites W2062761758 @default.
- W3133950211 cites W2078022571 @default.
- W3133950211 cites W2081052064 @default.
- W3133950211 cites W2083100206 @default.
- W3133950211 cites W2087143823 @default.
- W3133950211 cites W2095088804 @default.
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- W3133950211 cites W2131622041 @default.
- W3133950211 cites W2135295234 @default.
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- W3133950211 cites W2527834562 @default.
- W3133950211 cites W2582132117 @default.
- W3133950211 cites W2593690061 @default.
- W3133950211 cites W2617142118 @default.
- W3133950211 cites W2621665282 @default.
- W3133950211 cites W2752192837 @default.
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- W3133950211 cites W2885659736 @default.
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- W3133950211 cites W2972444105 @default.
- W3133950211 cites W2975656732 @default.
- W3133950211 cites W2978276813 @default.
- W3133950211 cites W2980466385 @default.
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- W3133950211 cites W3010165586 @default.
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- W3133950211 doi "https://doi.org/10.1016/j.scitotenv.2021.146089" @default.
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