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Realizing the Improvement of Green Total Factor Productivity of the Marine Economy—New Evidence from China’s Coastal Areas

Author

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  • Wenhan Ren

    (Business School, Qingdao University, Qingdao 266061, China)

  • Yu Chen

    (Business School, Qingdao University, Qingdao 266061, China)

Abstract

Paying attention to the mechanisms of the GTFP of the marine economy and designing a scientific and reasonable optimization path are the keys to achieving a “win-win” balance between environmental protection and high-quality marine development. Therefore, this paper considers the rigid constraints of resources and negative environmental effects to construct a multi-factor evaluation model of the GTFP of the marine economy including capital, labor, and resources to expand the evaluation method system for the sustainable development of the marine economy. On this basis, this paper determines the influencing factors of the GTFP of China’s marine economy, qualitatively analyzes the mechanism of each influencing factor on the GTFP of the marine economy, uses multi-dimensional data of coastal areas, quantitatively analyzes the direct and indirect effects of the factors that influence the GTFP , and proposes practical optimization paths and safeguarding measures, which provide a decision-making reference for the implementation of China’s marine development strategy. The results showed that the GTFP of China’s marine economy was in a state of improvement and increased from 0.9878 in 2006 to 1.2789 in 2018. The direct effects of environmental regulations have a negative and significant impact on GTFP , whereas economic development, human capital, and technological innovations have a positive and significant impact on GTFP . In addition, environmental regulations have an “inclined N” double-threshold effect on GTFP . The impact of environmental regulations on the GTFP of the marine economy depends on the intensity of the environmental regulations, as different intensities of environmental regulations have different dominant levels of the “innovation compensation effect” and “offset effect” that affect the GTFP of the marine economy.

Suggested Citation

  • Wenhan Ren & Yu Chen, 2022. "Realizing the Improvement of Green Total Factor Productivity of the Marine Economy—New Evidence from China’s Coastal Areas," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8619-:d:863363
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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    3. Sheng Gao & Huihui Sun & Jinfu Liu & Wei Liu, 2022. "Comprehensive audit evaluation and driving force analysis of various types of marine resources development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4371-4386, March.
    4. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    5. Xiaocang Xu & Xiuquan Huang & Jun Huang & Xin Gao & Linhong Chen, 2019. "Spatial-Temporal Characteristics of Agriculture Green Total Factor Productivity in China, 1998–2016: Based on More Sophisticated Calculations of Carbon Emissions," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
    6. Luc Everaert & Francisco Simone, 2007. "Improving the estimation of total factor productivity growth: capital operating time in a latent variable approach," Empirical Economics, Springer, vol. 33(3), pages 449-468, November.
    7. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    8. Cárdenas Rodríguez, Miguel & Haščič, Ivan & Souchier, Martin, 2018. "Environmentally Adjusted Multifactor Productivity: Methodology and Empirical Results for OECD and G20 Countries," Ecological Economics, Elsevier, vol. 153(C), pages 147-160.
    9. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    10. Xiangyu Hua & Haiping Lv & Xiangrong Jin, 2021. "Research on High-Quality Development Efficiency and Total Factor Productivity of Regional Economies in China," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
    11. Sheng Gao & Huihui Sun & Runjie Wang, 2022. "Audit Evaluation and Driving Force Analysis of Marine Economic Development Quality," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
    12. Hu, Gang-Gao, 2021. "Is knowledge spillover from human capital investment a catalyst for technological innovation? The curious case of fourth industrial revolution in BRICS economies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    13. Kui Yang & Taiyang Zhong & Yu Zhang & Qi Wen, 2020. "Total factor productivity of urban land use in China," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1784-1803, December.
    14. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    15. Noor Fauziah Isnaeni & Khoirunurrofik Khoirunurrofik, 2021. "The effect of knowledge spillovers and human capital through technological intensity on employment growth in Indonesia," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 21-39, February.
    16. Zhao Li & Bingyang Lv, 2021. "Total factor productivity of Chinese industrial firms: evidence from 2007 to 2017," Applied Economics, Taylor & Francis Journals, vol. 53(60), pages 6910-6926, December.
    17. Afonso, Oscar, 2013. "Diffusion and directed technological knowledge, human capital and wages," Economic Modelling, Elsevier, vol. 31(C), pages 370-382.
    18. Yuanxin Peng & Zhuo Chen & Juanzhi Xu & Jay Lee, 2020. "Analysis of green total factor productivity trend and its determinants for the countries along silk roads," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1711-1726, December.
    19. Xingming Li & Pengfei Shi & Yazhi Han & Aimin Deng & Duan Liu, 2020. "Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China," IJERPH, MDPI, vol. 17(4), pages 1-14, February.
    20. Tinatin Akhvlediani & Andrzej Cieślik, 2020. "Human capital, technological progress and technology diffusion across Europe: education matters," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(3), pages 475-493, August.
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    2. Fengyu Zhao & Ziqing Xu & Xiaowen Xie, 2024. "Exploring the Role of Digital Economy in Enhanced Green Productivity in China’s Manufacturing Sector: Fresh Evidence for Achieving Sustainable Development Goals," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    3. Dongqing Han & Zhengxu Cao, 2024. "An Evaluation and Difference Analysis of the High-Quality Development of China’s Marine Economy," Sustainability, MDPI, vol. 16(1), pages 1-18, January.

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