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Threshold Effect of High-Tech Industrial Scale on Green Development—Evidence from Yangtze River Economic Belt

Author

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  • Yanhong Liu

    (School of Management, Nanchang University, Nanchang 330031, China)

  • Xinjian Huang

    (School of Management, Nanchang University, Nanchang 330031, China
    School of Economics and Management, Nanchang University, Nanchang 330031, China)

  • Weiliang Chen

    (School of Management, Nanchang University, Nanchang 330031, China
    Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA)

Abstract

Based on the panel data of 11 regions in the Yangtze River Economic Belt from 1998 to 2016, we tested and analyzed the effects of high-tech industrial expansion on green development. For these regions in the Yangtze River Economic Belt, we wanted to investigate the potential linear relationship between the scale of high-tech industry and green development or the possible threshold effect. We wanted to determine if this relationship is different in various regions of the Yangtze River Economic Belt. According to the empirical test, we found that: (1) for the entire Yangtze River Economic Belt region, the influence of high-tech industrial scale on green development doubled the threshold effect, and a marginal efficiency diminishing effect existed with the further increase in scale; (2) due to the differences among the regions, the threshold effect was different in different regions, with a double threshold effect in the lower reaches, a single threshold effect in the middle reaches, and no threshold effect in the upper reaches; and (3) regarding the high-tech industrial scale, the downstream areas were too large to weaken its promoting effect on green development. In the middle reaches, the positive impact on green development was still increasing, and the high-tech industrial scale should be further expanded. However, in the upstream areas, high-tech industrial scales did not reach the threshold value and the relationship between the high-tech industrial scale and green development was linear. Therefore, local high-tech industries should be cultivated and developed.

Suggested Citation

  • Yanhong Liu & Xinjian Huang & Weiliang Chen, 2019. "Threshold Effect of High-Tech Industrial Scale on Green Development—Evidence from Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1432-:d:212102
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    as
    1. Qing Yang & Xingzi Wan & Huimin Ma, 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    2. Iammarino, Simona & McCann, Philip, 2006. "The structure and evolution of industrial clusters: Transactions, technology and knowledge spillovers," Research Policy, Elsevier, vol. 35(7), pages 1018-1036, September.
    3. 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.
    4. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
    5. Law, Kris M.Y. & Gunasekaran, Angappa, 2012. "Sustainability development in high-tech manufacturing firms in Hong Kong: Motivators and readiness," International Journal of Production Economics, Elsevier, vol. 137(1), pages 116-125.
    6. Björn Alecke & Christoph Alsleben & Frank Scharr & Gerhard Untiedt, 2006. "Are there really high-tech clusters? The geographic concentration of German manufacturing industries and its determinants," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(1), pages 19-42, March.
    7. Berndt, Ernst R. & Morrison, Catherine J., 1995. "High-tech capital formation and economic performance in U.S. manufacturing industries An exploratory analysis," Journal of Econometrics, Elsevier, vol. 65(1), pages 9-43, January.
    8. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    9. Liu, Xiaohui & Buck, Trevor, 2007. "Innovation performance and channels for international technology spillovers: Evidence from Chinese high-tech industries," Research Policy, Elsevier, vol. 36(3), pages 355-366, April.
    10. Raymond W. Goldsmith, 1951. "A Perpetual Inventory of National Wealth," NBER Chapters, in: Studies in Income and Wealth, Volume 14, pages 5-73, National Bureau of Economic Research, Inc.
    11. David Bieri, 2010. "Booming Bohemia? Evidence from the US High-Technology Industry," Industry and Innovation, Taylor & Francis Journals, vol. 17(1), pages 23-48.
    12. Czarnitzki, Dirk & Thorwarth, Susanne, 2012. "Productivity effects of basic research in low-tech and high-tech industries," Research Policy, Elsevier, vol. 41(9), pages 1555-1564.
    13. Adam Ryszko, 2016. "Proactive Environmental Strategy, Technological Eco-Innovation and Firm Performance—Case of Poland," Sustainability, MDPI, vol. 8(2), pages 1-20, February.
    14. Yanrui Wu, 2008. "The role of productivity in China's growth: new estimates," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 6(2), pages 141-156.
    15. Eskeland, Gunnar S. & Harrison, Ann E., 2003. "Moving to greener pastures? Multinationals and the pollution haven hypothesis," Journal of Development Economics, Elsevier, vol. 70(1), pages 1-23, February.
    16. Tsu Lung Chou & Chia-Ho Ching & Shu-min Fan & Jung-Ying Chang, 2011. "Global Linkages, the Chinese High-tech Community and Industrial Cluster Development," Urban Studies, Urban Studies Journal Limited, vol. 48(14), pages 3019-3042, November.
    17. Jaakko Simonen & Rauli Svento & Artti Juutinen, 2015. "Specialization and diversity as drivers of economic growth: Evidence from High-Tech industries," Papers in Regional Science, Wiley Blackwell, vol. 94(2), pages 229-247, June.
    18. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    19. Caldarelli, Carlos Eduardo & Gilio, Leandro, 2018. "Expansion of the sugarcane industry and its effects on land use in São Paulo: Analysis from 2000 through 2015," Land Use Policy, Elsevier, vol. 76(C), pages 264-274.
    20. Luigi Aldieri & Concetto Paolo Vinci, 2018. "Green Economy and Sustainable Development: The Economic Impact of Innovation on Employment," Sustainability, MDPI, vol. 10(10), pages 1-11, October.
    21. Gene M. Grossman & Elhanan Helpman, 1993. "Innovation and Growth in the Global Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262570971, April.
    22. Jun-Fei Chu & Jie Wu & Ma-Lin Song, 2018. "An SBM-DEA model with parallel computing design for environmental efficiency evaluation in the big data context: a transportation system application," Annals of Operations Research, Springer, vol. 270(1), pages 105-124, November.
    23. Min-Ren Yan & Kuo-Ming Chien, 2013. "Evaluating the Economic Performance of High-Technology Industry and Energy Efficiency: A Case Study of Science Parks in Taiwan," Energies, MDPI, vol. 6(2), pages 1-15, February.
    24. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    25. Kameshwari Shankar & Suman Ghosh, 2013. "A Theory of Worker Turnover and Knowledge Transfer in High-Technology Industries," Journal of Human Capital, University of Chicago Press, vol. 7(2), pages 107-129.
    26. Yongrok Choi & Yanni Yu & Hyoung Seok Lee, 2018. "A Study on the Sustainable Performance of the Steel Industry in Korea Based on SBM-DEA," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    27. Andrea Goldstein, 2002. "The political economy of high-tech industries in developing countries: aerospace in Brazil, Indonesia and South Africa," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 26(4), pages 521-538, July.
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