IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p297-d1013928.html
   My bibliography  Save this article

Research on the Path of Sustainable Development of China’s Logistics Industry Driven by Capital Factors

Author

Listed:
  • Heng Chen

    (School of Management, Xi’an Polytechnic University, Xi’an 710048, China)

  • Yan Zhang

    (School of Management, Xi’an Polytechnic University, Xi’an 710048, China)

Abstract

In order to identify the path of the sustainable development of China’s logistics industry, this paper creatively constructs the LMDI (Logarithmic Mean Index Method) model of capital factor investment, analyzes the main driving forces of the development of China’s logistics industry and its sustainability, and discusses the key factors and realization path of the sustainable development of the logistics industry. This study can provide expertise to a vast number of developing countries. The research results indicate the following: (1) Capital scale expansion is the principal driving force in the development of the logistics industry. As the capital investment efficiency of the logistics industry crosses the threshold value, capital investment scale expansion has a long-term positive effect on the development of the logistics industry. The key to achieving sustainable development in China’s logistics industry is to improve the efficiency of capital investment. (2) Improving the institutional environment can reduce the competitive pressure of foreign direct investment (FDI) on the logistics industry, weaken the crowding-out effect on capital investment efficiency, and assist in the sustainable growth of the industry. (3) An improvement in capital investment efficiency is promoted by capital mobility; however, these effects differ depending on the region.

Suggested Citation

  • Heng Chen & Yan Zhang, 2022. "Research on the Path of Sustainable Development of China’s Logistics Industry Driven by Capital Factors," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:297-:d:1013928
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/297/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/1/297/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Asafo-Agyei, George & Kodongo, Odongo, 2022. "Foreign direct investment and economic growth in Sub-Saharan Africa: A nonlinear analysis," Economic Systems, Elsevier, vol. 46(4).
    2. Liu, Weihua & Zhang, Jiahui & Shi, Yangyan & Lee, Paul Tae-Woo & Liang, Yanjie, 2022. "Intelligent logistics transformation problems in efficient commodity distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    3. Luo, Sumei & Sun, Yongkun & Yang, Fan & Zhou, Guangyou, 2022. "Does fintech innovation promote enterprise transformation? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    4. Qi, Guanqiu & Shi, Wenming & Lin, Kun-Chin & Yuen, Kum Fai & Xiao, Yi, 2020. "Spatial spillover effects of logistics infrastructure on regional development: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 96-114.
    5. Chenglong Cao, 2018. "Measuring Sustainable Development Efficiency of Urban Logistics Industry," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-9, November.
    6. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    7. Pedersen, Torben & Scedrova, Anna & Grecu, Alina, 2022. "The effects of IT investments and skilled labor on firms’ value added," Technovation, Elsevier, vol. 116(C).
    8. Wang, Chao & Kim, Yul-Seong & Kim, Chi Yeol, 2021. "Causality between logistics infrastructure and economic development in China," Transport Policy, Elsevier, vol. 100(C), pages 49-58.
    9. Zaijun Li & Meijuan Hu & Zhenyu Wang, 2020. "The space‐time evolution and driving forces of county economic growth in China from 1998 to 2015," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1203-1223, September.
    10. Li, Mingming & Liu, Haiming & Chiang, Yao-Min, 2022. "Government intervention, leverage adjustment, and firm performance: Evidence from defaulting firms," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    11. Laddha, Yash & Tiwari, Aviral & Kasperowicz, Rafał & Bilan, Yuriy & Streimikiene, Dalia, 2022. "Impact of Information Communication Technology on labor productivity: A panel and cross-sectional analysis," Technology in Society, Elsevier, vol. 68(C).
    12. Ali, Usman & Li, Yanxi & Wang, Jian-Jun & Yue, Xiaohang & Chang, Ai-Chih (Jasmine), 2021. "Dynamics of outward FDI and productivity spillovers in logistics services industry: Evidence from China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    13. Wu, Bangzheng & Yang, Weiguo, 2022. "Empirical test of the impact of the digital economy on China's employment structure," Finance Research Letters, Elsevier, vol. 49(C).
    14. Tang, Le, 2022. "The dynamic demand for capital and labor: Evidence from Chinese industrial firms," Economic Modelling, Elsevier, vol. 107(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Sijing & He, Nannan & Cao, Xindan & Li, Guoqi & Jian, Ming, 2022. "Logistics cluster and its future development: A comprehensive research review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    2. Luo, Yulong & Zeng, Weiliang & Wang, Yueqiang & Li, Danzhou & Hu, Xianbiao & Zhang, Hua, 2021. "A hybrid approach for examining the drivers of energy consumption in Shanghai," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Nishijima, Daisuke, 2017. "The role of technology, product lifetime, and energy efficiency in climate mitigation: A case study of air conditioners in Japan," Energy Policy, Elsevier, vol. 104(C), pages 340-347.
    4. Shigemi Kagawa & Yuriko Goto & Sangwon Suh & Keisuke Nansai & Yuki Kudoh, 2012. "Accounting for Changes in Automobile Gasoline Consumption in Japan: 2000–2007," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 1(1), pages 1-27, December.
    5. Sierra, Jaime Cevallos, 2016. "Estimating road transport fuel consumption in Ecuador," Energy Policy, Elsevier, vol. 92(C), pages 359-368.
    6. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    7. Emrah Kocak & Hayriye Hilal Baglitas, 2022. "The path to sustainable municipal solid waste management: Do human development, energy efficiency, and income inequality matter?," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1947-1962, December.
    8. Mulder, Peter & de Groot, Henri L.F. & Pfeiffer, Birte, 2014. "Dynamics and determinants of energy intensity in the service sector: A cross-country analysis, 1980–2005," Ecological Economics, Elsevier, vol. 100(C), pages 1-15.
    9. Löschel, Andreas & Pothen, Frank & Schymura, Michael, 2015. "Peeling the onion: Analyzing aggregate, national and sectoral energy intensity in the European Union," Energy Economics, Elsevier, vol. 52(S1), pages 63-75.
    10. Zhang, Shulin & Su, Xiaoling & Singh, Vijay P & Ayantobo, Olusola Olaitan & Xie, Juan, 2018. "Logarithmic Mean Divisia Index (LMDI) decomposition analysis of changes in agricultural water use: a case study of the middle reaches of the Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 208(C), pages 422-430.
    11. Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2007. "Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Taiwan, Germany, Japan and South Korea," Energy Policy, Elsevier, vol. 35(6), pages 3226-3235, June.
    12. Jin, Laiqun & Dai, Jiaying & Jiang, Weijie & Cao, Kairui, 2023. "Digital finance and misallocation of resources among firms: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    13. Trotta, Gianluca, 2020. "Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis," Energy Economics, Elsevier, vol. 86(C).
    14. Chen, Yufeng & Miao, Jiafeng, 2023. "What Determines China’s Agricultural Non-Point Source Pollution? An Improved LMDI Decomposition Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(2), May.
    15. Wang, Wenwen & Li, Man & Zhang, Ming, 2017. "Study on the changes of the decoupling indicator between energy-related CO2 emission and GDP in China," Energy, Elsevier, vol. 128(C), pages 11-18.
    16. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    17. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    18. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    19. Román-Collado, Rocío & Colinet, María José, 2018. "Are labour productivity and residential living standards drivers of the energy consumption changes?," Energy Economics, Elsevier, vol. 74(C), pages 746-756.
    20. Yong Bian & Zhi Yu & Xuelan Zeng & Jingchun Feng & Chao He, 2018. "Achieving China’s Long-Term Carbon Emission Abatement Targets: A Perspective from Regional Disparity," Sustainability, MDPI, vol. 10(11), pages 1-19, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:297-:d:1013928. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.