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Evaluation Index System Of Green Industry Based On Maximum Information Content

Author

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  • BIN MENG

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, P. R. China)

  • GUOTAI CHI

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, P. R. China)

Abstract

Green industry evaluation is a necessary part in the development of low-carbon economy and achieve sustainable development in the economic, social and ecological environment. Establishing a system of reasonable indicators is the key to green industry evaluation. From the connotation of green industry, this paper chooses green industry evaluation indicators with the extensive inclusion of green production, green consumption and green environment. Based on the principle of the maximum information content and the principle of eliminating redundant information, it establishes the evaluation indicators system of green industry. The proposed index system exhibits universal features of selection methods. Furthermore, the indexes of green industry formulated by authorities, such as EMCA, and designed for cities, such as Beijing and Shanghai in China, are described in terms of mass-elected indexes; these indexes can also provide important reference for green industry development in other similar cities, particularly coastal cities.

Suggested Citation

  • Bin Meng & Guotai Chi, 2018. "Evaluation Index System Of Green Industry Based On Maximum Information Content," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 229-248, March.
    • Handle: RePEc:wsi:serxxx:v:63:y:2018:i:02:n:s0217590817400094
    DOI: 10.1142/S0217590817400094
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    2. Freschi, F. & Giaccone, L. & Lazzeroni, P. & Repetto, M., 2013. "Economic and environmental analysis of a trigeneration system for food-industry: A case study," Applied Energy, Elsevier, vol. 107(C), pages 157-172.
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    Cited by:

    1. Wei Li & Desheng Xue & Xu Huang, 2018. "The Role of Manufacturing in Sustainable Economic Development: A Case of Guangzhou, China," Sustainability, MDPI, vol. 10(9), pages 1-17, August.
    2. Jia Peng & Xianli Hu & Xinyue Fan & Kai Wang & Hao Gong, 2023. "The Impact of the Green Economy on Carbon Emission Intensity: Comparisons, Challenges, and Mitigating Strategies," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    3. Liang Lv & Lidong Fan & Bin Meng & Mohammad Zoynul Abedin & Haoyue Feng, 2023. "A Combined Evaluation Method of Corporate Social Responsibility Based on the Difference and Similarity: A Case Study of Transportation Industry in China," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    4. Zhuo Chen & Kang Tian, 2022. "Optimization of Evaluation Indicators for Driver’s Traffic Literacy: An Improved Principal Component Analysis Method," SAGE Open, , vol. 12(2), pages 21582440221, June.
    5. Congjun Rao & Yawen He & Xinping Xiao, 2023. "Selection decision-making mechanism of “zero-waste city” in the yangtze river economic zone," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11421-11454, October.

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