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Ecological Efficiency Evaluation, Spatial Difference, and Trend Analysis of Logistics Industry and Manufacturing Industry Linkage in the Northeast Old Industrial Base

Author

Listed:
  • Chong Wu

    (College of Architecture and Urban Planning, Guizhou University, Guizhou 550025, China)

  • Jiahua Gan

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China)

  • Zhuo Jiang

    (College of Transportation Engineering, Chang’an University, Xi’an 710064, China)

  • Anding Jiang

    (Department of Low Carbon Research Center, Shaanxi Provincial Academy of Environmental Science, Xi’an 710064, China)

  • Wenlong Zheng

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

Abstract

The ecological efficiency of industrial linkage considering unexpected output is an important indicator to measure the coordinated development of industrial linkage, resources, and the environment. It is an important basis for realizing the sustainable development of industry linkage. Taking the composite index of carbon emissions of the logistics industry and pollution emissions of the manufacturing industry as the unexpected output, we used the unexpected SBM model to evaluate the ecological efficiency of industrial linkage between the logistics industry and the manufacturing industry in Northeast China from 2011 to 2019, and used the spatial autocorrelation analysis method to analyze the spatial differences in industrial linkage efficiency. The results show that (1) considering the unexpected output, in Northeast China, the ecological efficiency cannot reach a high level of linkage development stage. (2) The results of the spatial correlation show that there are spatial differences between H-H agglomeration and L-L agglomeration in the linkage ecological efficiency of the two industries, and the spatial agglomeration attribute is relatively stable. (3) The analysis results of spatial agglomeration characteristics show that the spatial agglomeration of the two industries has a spatial evolution process from the southern coastal area to the central region. (4) Spatial trend analysis shows that in Northeast China, the western region is slightly higher than the eastern region, while the southern region is higher than the northern region. (5) From the development trend of linkage ecological efficiency, the linkage ecological efficiency of the study area will be improved in the future, but in the short term, the linkage ecological development level is not high and may still be at the primary linkage level.

Suggested Citation

  • Chong Wu & Jiahua Gan & Zhuo Jiang & Anding Jiang & Wenlong Zheng, 2022. "Ecological Efficiency Evaluation, Spatial Difference, and Trend Analysis of Logistics Industry and Manufacturing Industry Linkage in the Northeast Old Industrial Base," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12724-:d:935010
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    as
    1. Livio Cricelli & Serena Strazzullo, 2021. "The Economic Aspect of Digital Sustainability: A Systematic Review," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    2. Shaobo Wu & Xun Yao & Guangdong Wu, 2020. "Environmental Investment Decision of Green Supply Chain considering the Green Uncertainty," Complexity, Hindawi, vol. 2020, pages 1-13, November.
    3. Xu Zhang & Fei-Yu Jin & Xu-Mei Yuan & Hai-Yan Zhang, 2021. "Low-Carbon Multimodal Transportation Path Optimization under Dual Uncertainty of Demand and Time," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    4. Fan Liu & Han Xu, 2020. "Heterogeneity of Green TFP in China’s Logistics Industry under Environmental Constraints," Complexity, Hindawi, vol. 2020, pages 1-12, November.
    5. Petchprakai Sirilertsuwan & Sébastien Thomassey & Xianyi Zeng, 2020. "A Strategic Location Decision-Making Approach for Multi-Tier Supply Chain Sustainability," Sustainability, MDPI, vol. 12(20), pages 1-37, October.
    6. Cheng Qian & Shenghui Wang & Xiaohong Liu & Xueying Zhang, 2019. "Low-Carbon Initiatives of Logistics Service Providers: The Perspective of Supply Chain Integration," Sustainability, MDPI, vol. 11(12), pages 1-13, June.
    7. Yanhong Yuan & Bowen Zhang & Lei Wang & Li Wang, 2022. "Low-Carbon Strategies Considering Corporate Environmental Responsibility: Based on Carbon Trading and Carbon Reduction Technology Investment," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    8. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    9. Robert Bucki & Petr Suchánek, 2017. "Modelling Decision-Making Processes in the Management Support of the Manufacturing Element in the Logistic Supply Chain," Complexity, Hindawi, vol. 2017, pages 1-15, June.
    10. Sijing Liu & Jiuping Xu & Xiaoyuan Shi & Guoqi Li & Dinglong Liu, 2018. "Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities," Sustainability, MDPI, vol. 10(9), pages 1-25, August.
    11. Jingwen Yi & Yuchen Zhang & Kaicheng Liao, 2021. "Regional Differential Decomposition and Formation Mechanism of Dynamic Carbon Emission Efficiency of China’s Logistics Industry," IJERPH, MDPI, vol. 18(24), pages 1-25, December.
    12. Wenzhu Liao & Tong Wang, 2019. "A Novel Collaborative Optimization Model for Job Shop Production–Delivery Considering Time Window and Carbon Emission," Sustainability, MDPI, vol. 11(10), pages 1-27, May.
    13. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    14. Zhongwei Zhang & Lihui Wu & Zhaoyun Wu & Wenqiang Zhang & Shun Jia & Tao Peng, 2022. "Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization," Sustainability, MDPI, vol. 14(5), pages 1-28, February.
    15. Qiang Han & Yuyan Wang, 2018. "Decision and Coordination in a Low-Carbon E-Supply Chain Considering the Manufacturer’s Carbon Emission Reduction Behavior," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    16. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    17. Xiong Gao & Yuhong Wang, 2019. "Study on Benefit Coordination of Supply Chain Network Based on Green Development," IJERPH, MDPI, vol. 16(8), pages 1-20, April.
    18. Camila Gramkow & Annela Anger-Kraavi, 2019. "Developing Green: A Case for the Brazilian Manufacturing Industry," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    19. Xiaohong Jiang & Jianxiao Ma & Huizhe Zhu & Xiucheng Guo & Zhaoguo Huang, 2020. "Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China," IJERPH, MDPI, vol. 17(22), pages 1-19, November.
    20. Changhong Li & Jialuo Wang & Jiao Zheng & Jiani Gao, 2022. "Effects of Carbon Policy on Carbon Emission Reduction in Supply Chain under Uncertain Demand," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
    21. Daozhi Zhao & Jiaqin Hao & Cejun Cao & Hongshuai Han, 2019. "Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    22. Lei Yang & Yiji Cai & Xiaozhe Zhong & Yongqiang Shi & Zhiyong Zhang, 2017. "A Carbon Emission Evaluation for an Integrated Logistics System—A Case Study of the Port of Shenzhen," Sustainability, MDPI, vol. 9(3), pages 1-23, March.
    23. Fan Yang & Yanming Sun & Yuan Zhang & Tao Wang, 2021. "Factors Affecting the Manufacturing Industry Transformation and Upgrading: A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area," IJERPH, MDPI, vol. 18(13), pages 1-14, July.
    24. Kena Mi & Rulong Zhuang, 2022. "Producer Services Agglomeration and Carbon Emission Reduction—An Empirical Test Based on Panel Data from China," Sustainability, MDPI, vol. 14(6), pages 1-19, March.
    25. Holger Scheel & Stefan Scholtes, 2003. "Continuity of DEA Efficiency Measures," Operations Research, INFORMS, vol. 51(1), pages 149-159, February.
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