Environmentally sensitive productivity growth of industrial sectors in the Pearl River Delta
文献类型：期刊论文
| 作者 | Liu, Wei1; Zhan, Jinyan1; Wang, Chao1; Li, Shuxian1; Zhang, Fan2,3,4 |
| 刊名 | RESOURCES CONSERVATION AND RECYCLING
 |
| 出版日期 | 2018-12-01 |
| 卷号 | 139页码:50-63 |
| 关键词 | Environmentally sensitive productivity growth Total factor productivity Malmquist-Luenberger index Undesirable outputs Data envelopment analysis Pearl River Delta |
| ISSN号 | 0921-3449 |
| DOI | 10.1016/j.resconrec.2018.07.017 |
| 通讯作者 | Zhan, Jinyan(zhanjy@bnu.edu.cn) |
| 英文摘要 | Under the background of new urbanization, urban agglomeration plays an important role in boosting development in surrounding areas. However, while contributing significantly to economic growth, it was accompanied by high levels of energy consumption and emissions of waste gas and water into the surrounding ecological system. Therefore, it is worthwhile measuring the environmentally sensitive productivity changes during the development process. The Malmquist-Luenberger index based on company data for the period 2007-2012 is used to examine both desirable and undesirable outputs for total factor productivity of various industrial sectors in the Pearl River Delta. The trend in productivity growth and indexes in efficiency and technology are analyzed. We find that at the city scale, the industrial productivity levels in Dongguan, Shenzhen, and Zhongshan increased during the study period, while those in other cities decreased. Furthermore, Guangzhou, Dongguan, Foshan, Jiangmen, Shenzhen, and Zhuhai are green development cities. Technological advance was the main contributor to productivity growth. In accordance with the efficiency and technological change indexes, 225 Decision-Making Units (DMUs, refers to industrial sectors in this study) comprising specific industries from nine cities were classified into six categories. It was found that 66.9% of the DMUs developed with improved productivity and 40% developed in a green mode. Conditions and trends of industrial sectors and the key determinants affecting environmentally sensitive productivity growth was specified. Thus, it provides essential information for companies to develop in green way, as well as providing policy makers with an understanding of industrial development at both the city and sector level. |
| WOS关键词 | MALMQUIST-LUENBERGER INDEX ; DATA ENVELOPMENT ANALYSIS ; SLACKS-BASED MEASURE ; UNDESIRABLE OUTPUTS ; CARBON EMISSIONS ; URBAN AGGLOMERATIONS ; POLLUTION EMISSIONS ; ENERGY EFFICIENCY ; AIR-POLLUTION ; CHINA |
| 资助项目 | National Key Research and Development Program of China[2016YFC0502802] ; National Key Research and Development Program of China[2016YFA0602500] ; State Key Program of National Natural Science Foundation of China[71533004] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000447575900007 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Key Research and Development Program of China ; State Key Program of National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/52783]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhan, Jinyan |
| 作者单位 | 1.Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Wei,Zhan, Jinyan,Wang, Chao,et al. Environmentally sensitive productivity growth of industrial sectors in the Pearl River Delta[J]. RESOURCES CONSERVATION AND RECYCLING,2018,139:50-63. |
| APA | Liu, Wei,Zhan, Jinyan,Wang, Chao,Li, Shuxian,&Zhang, Fan.(2018).Environmentally sensitive productivity growth of industrial sectors in the Pearl River Delta.RESOURCES CONSERVATION AND RECYCLING,139,50-63. |
| MLA | Liu, Wei,et al."Environmentally sensitive productivity growth of industrial sectors in the Pearl River Delta".RESOURCES CONSERVATION AND RECYCLING 139(2018):50-63. |
入库方式： OAI收割
来源：地理科学与资源研究所
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