IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i14p8619-d863363.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/14/8619/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/14/8619/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    5. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Afonso, Oscar, 2013. "Diffusion and directed technological knowledge, human capital and wages," Economic Modelling, Elsevier, vol. 31(C), pages 370-382.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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).
    20. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rongrong Shi & Dian Song & Guoqiang Rui & Hainan Wu, 2022. "How the Establishment of the National Civilized City Promotes Urban Green Development: From the Perspective of Administrative Competing Theory—A Quasi Experiment Study in China," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    2. 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.

    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. Xin Du & Hengming Zhang & Yawen Han, 2022. "How Does New Infrastructure Investment Affect Economic Growth Quality? Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-30, March.
    2. Ruomeng Zhou & Yunsheng Zhang, 2023. "Measurement of Urban Green Total Factor Productivity and Analysis of Its Temporal and Spatial Evolution in China," Sustainability, MDPI, vol. 15(12), pages 1-32, June.
    3. Pan, Xiuzhen & Wei, Zixiang & Han, Botang & Shahbaz, Muhammad, 2021. "The heterogeneous impacts of interregional green technology spillover on energy intensity in China," Energy Economics, Elsevier, vol. 96(C).
    4. Hong Yu & Jianmin Zhang & Ning Xu, 2023. "Does National Independent Innovation Demonstration Zone Construction Help Improve Urban Green Total Factor Productivity? A Policy Assessment from China," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    5. Decai Tang & Zhangming Shan & Junxia He & Ziqian Zhao, 2022. "How Do Environmental Regulations and Outward Foreign Direct Investment Impact the Green Total Factor Productivity in China? A Mediating Effect Test Based on Provincial Panel Data," IJERPH, MDPI, vol. 19(23), pages 1-32, November.
    6. Gao, Yuning & Zhang, Meichen & Zheng, Jinghai, 2021. "Accounting and determinants analysis of China's provincial total factor productivity considering carbon emissions," China Economic Review, Elsevier, vol. 65(C).
    7. Lei Jiang & Xingyu Chen & Yang Jiang & Bo Zhang, 2023. "Exploring the Direct and Spillover Effects of Aging on Green Total Factor Productivity in China: A Spatial Econometric Approach," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    8. Qingyan Zhu, 2023. "How Will the Relationship between Technological Innovation and Green Total Factor Productivity Change under the Influence of Service-Oriented Upgrading of Industrial Structure?," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    9. Huang, Hongyun & Mo, Renbian & Chen, Xingquan, 2021. "New patterns in China's regional green development: An interval Malmquist–Luenberger productivity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 161-173.
    10. Sheng Gao & Huihui Sun & Jingyi Wang & Wei Liu, 2022. "Evaluation and Countermeasures of High-Quality Development of China’s Marine Economy Based on PSO-SVM," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    11. Yakun Wang & Jingli Jiang & Dongqing Wang & Xinshang You, 2022. "Can Mechanization Promote Green Agricultural Production? An Empirical Analysis of Maize Production in China," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    12. Samargandi, Nahla & Fidrmuc, Jan & Ghosh, Sugata, 2015. "Is the Relationship Between Financial Development and Economic Growth Monotonic? Evidence from a Sample of Middle-Income Countries," World Development, Elsevier, vol. 68(C), pages 66-81.
    13. repec:rri:wpaper:200711 is not listed on IDEAS
    14. Zhang, Xiaobei & Wang, Xiaojun, 2021. "Measures of human capital and the mechanics of economic growth," China Economic Review, Elsevier, vol. 68(C).
    15. Yanli Ji & Jie Xue & Kaiyang Zhong, 2022. "Does Environmental Regulation Promote Industrial Green Technology Progress? Empirical Evidence from China with a Heterogeneity Analysis," IJERPH, MDPI, vol. 19(1), pages 1-23, January.
    16. Abdulqadir, Idris A. & Asongu, Simplice A., 2022. "The asymmetric effect of internet access on economic growth in sub-Saharan Africa," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 44-61.
    17. He, Yiqing & Ding, Xin & Yang, Chuchu, 2021. "Do environmental regulations and financial constraints stimulate corporate technological innovation? Evidence from China," Journal of Asian Economics, Elsevier, vol. 72(C).
    18. Shuying Wang & Yifei Gao & Hongchang Zhou, 2022. "Research on Green Total Factor Productivity Enhancement Path from the Configurational Perspective—Based on the TOE Theoretical Framework," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    19. Weixiang Zhao & Yankun Xu, 2022. "Public Expenditure and Green Total Factor Productivity: Evidence from Chinese Prefecture-Level Cities," IJERPH, MDPI, vol. 19(9), pages 1-27, May.
    20. Eduardo Polloni-Silva & Diogo Ferraz & Flávia de Castro Camioto & Daisy Aparecida do Nascimento Rebelatto & Herick Fernando Moralles, 2021. "Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    21. Hossfeld, Oliver & Pramor, Marcus, 2018. "Global liquidity and exchange market pressure in emerging market economies," Discussion Papers 05/2018, Deutsche Bundesbank.

    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:jijerp:v:19:y:2022:i:14:p:8619-:d:863363. 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.