IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i7p3809-d526854.html
   My bibliography  Save this article

Impacts of Manufacturing Specialized and Diversified Agglomeration on the Eco-Innovation Efficiency—A Nonlinear Test from Dynamic Perspective

Author

Listed:
  • Lu Zhang

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Renyan Mu

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Shuhua Hu

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Quan Zhang

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Song Wang

    (School of Economics and Business Administration, Central China Normal University, Wuhan 430079, China)

Abstract

Eco-innovation is the main driver of realizing the coordinated development of resource, environmental and economic systems. This paper measures regional eco-innovation efficiency ( EIE ) by using the Super-Slack Based Measure (SBM) model with undesirable outputs and distinguishes different agglomeration patterns based on Chinese data of 21 manufacturing sub-industries of 30 provinces. In particular, from the perspective of the dynamic evolution of manufacturing agglomeration, the nonlinear effects of specialized and diversified agglomeration on EIE are investigated based on panel threshold regression models. The results indicate that China’s EIE shows a U-shaped changing trend. The impacts of specialized and diversified agglomeration on EIE are nonlinear and have significant three-threshold effects. There exist a U-shaped relationship between specialized agglomeration and EIE , and an S-shaped relationship between diversified agglomeration and EIE . In terms of eco-innovation, the development of diversified agglomeration is superior to that of specialized agglomeration. Overall, there is still much room for more than 70% of provinces in China to increase their EIE by optimizing the layout of manufacturing specialized and diversified agglomeration. To improve the EIE and achieve sustainable economic growth, differentiated agglomeration policies should be formulated in various stages and regions. In addition, the driving mechanism of eco-innovation should be strengthened.

Suggested Citation

  • Lu Zhang & Renyan Mu & Shuhua Hu & Quan Zhang & Song Wang, 2021. "Impacts of Manufacturing Specialized and Diversified Agglomeration on the Eco-Innovation Efficiency—A Nonlinear Test from Dynamic Perspective," Sustainability, MDPI, vol. 13(7), pages 1-27, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3809-:d:526854
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/7/3809/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/7/3809/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kiani Mavi, Reza & Saen, Reza Farzipoor & Goh, Mark, 2019. "Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 553-562.
    2. Syed Hasan & Alessandra Faggian & H. Allen Klaiber & Ian Sheldon, 2018. "Agglomeration Economies or Selection? An Analysis of Taiwanese Science Parks," International Regional Science Review, , vol. 41(3), pages 335-363, May.
    3. Verhoef, Erik T. & Nijkamp, Peter, 2002. "Externalities in urban sustainability: Environmental versus localization-type agglomeration externalities in a general spatial equilibrium model of a single-sector monocentric industrial city," Ecological Economics, Elsevier, vol. 40(2), pages 157-179, February.
    4. Max-Peter Menzel & Dirk Fornahl, 2010. "Cluster life cycles--dimensions and rationales of cluster evolution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(1), pages 205-238, February.
    5. Weiliang Chen & Xinjian Huang & Yanhong Liu & Xin Luan & Yan Song, 2019. "The Impact of High-Tech Industry Agglomeration on Green Economy Efficiency—Evidence from the Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    6. Neng Shen & Yuqing Zhao & Qunwei Wang, 2018. "Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data," Sustainability, MDPI, vol. 10(6), pages 1-22, June.
    7. 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.
    8. Yongfeng Zhu & Zilong Wang & Shilei Qiu & Lingling Zhu, 2019. "Effects of Environmental Regulations on Technological Innovation Efficiency in China’s Industrial Enterprises: A Spatial Analysis," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    9. Perruchas, François & Consoli, Davide & Barbieri, Nicolò, 2020. "Specialisation, diversification and the ladder of green technology development," Research Policy, Elsevier, vol. 49(3).
    10. Geng, Duanyang & Lai, Kee-hung & Zhu, Qinghua, 2021. "Eco-innovation and its role for performance improvement among Chinese small and medium-sized manufacturing enterprises," International Journal of Production Economics, Elsevier, vol. 231(C).
    11. Yanwen Sheng & Jinli Zhao & Xuebo Zhang & Jinping Song & Yi Miao, 2019. "Innovation efficiency and spatial spillover in urban agglomerations: A case of the Beijing‐Tianjin‐Hebei, the Yangtze River Delta, and the Pearl River Delta," Growth and Change, Wiley Blackwell, vol. 50(4), pages 1280-1310, December.
    12. Kesidou, Effie & Wu, Lichao, 2020. "Stringency of environmental regulation and eco-innovation: Evidence from the eleventh Five-Year Plan and green patents," Economics Letters, Elsevier, vol. 190(C).
    13. Hötte, Kerstin, 2020. "How to accelerate green technology diffusion? Directed technological change in the presence of coevolving absorptive capacity," Energy Economics, Elsevier, vol. 85(C).
    14. Speldekamp, Daniël & Knoben, Joris & Saka-Helmhout, Ayse, 2020. "Clusters and firm-level innovation: A configurational analysis of agglomeration, network and institutional advantages in European aerospace," Research Policy, Elsevier, vol. 49(3).
    15. Bo Kyeong Lee & So Young Sohn, 2019. "Disparities in exploitative and exploratory patenting performance across regions: Focusing on the roles of agglomeration externalities," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 241-263, February.
    16. Abdelfeteh Bitat, 2018. "Environmental regulation and eco-innovation: the Porter hypothesis refined," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(3), pages 299-321, September.
    17. Fethi, Sami & Rahuma, Abdulhamid, 2020. "The impact of eco-innovation on CO2 emission reductions: Evidence from selected petroleum companies," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 108-115.
    18. Rahel Meili & Richard Shearmur, 2019. "Diverse diversities—Open innovation in small towns and rural areas," Growth and Change, Wiley Blackwell, vol. 50(2), pages 492-514, June.
    19. Martínez-Zarzoso, Inmaculada & Bengochea-Morancho, Aurelia & Morales-Lage, Rafael, 2019. "Does environmental policy stringency foster innovation and productivity in OECD countries?," Energy Policy, Elsevier, vol. 134(C).
    20. Nicoló Barbieri & François Perruchas & Davide Consoli, 2020. "Specialization, Diversification, and Environmental Technology Life Cycle," Economic Geography, Taylor & Francis Journals, vol. 96(2), pages 161-186, March.
    21. Li, Guangpei & Wang, Xiaoyu & Su, Shibin & Su, Yuan, 2019. "How green technological innovation ability influences enterprise competitiveness," Technology in Society, Elsevier, vol. 59(C).
    22. Claire Brunel & Arik Levinson, 2016. "Measuring the Stringency of Environmental Regulations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(1), pages 47-67.
    23. Ben Arfi, Wissal & Hikkerova, Lubica & Sahut, Jean-Michel, 2018. "External knowledge sources, green innovation and performance," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 210-220.
    24. Xingle Long & Chuanwang Sun & Chao Wu & Bin Chen & Kofi Agyenim Boateng, 2020. "Green innovation efficiency across China’s 30 provinces: estimate, comparison, and convergence," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1243-1260, October.
    25. Gilles Duranton, 2015. "Growing through Cities in Developing Countries," The World Bank Research Observer, World Bank, vol. 30(1), pages 39-73.
    26. Massimiliano Mazzanti, 2018. "Eco-innovation and sustainability: dynamic trends, geography and policies," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 61(11), pages 1851-1860, September.
    27. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    28. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    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. Wei Zhao & Chao Zhu & Yaoyao Zhu, 2022. "The Comparative Advantage of Cities and Innovation Value Chain: Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    2. Zhen Wu & Su-Han Woo & Jin-Ho Oh & Po-Lin Lai, 2024. "Temporal and spatial effects of manufacturing agglomeration on CO2 emissions: evidence from South Korea," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    3. Larbi-Siaw, Otu & Xuhua, Hu & Owusu, Ebenezer & Owusu-Agyeman, Abigail & Fulgence, Brou Ettien & Frimpong, Samuel Akwasi, 2022. "Eco-innovation, sustainable business performance and market turbulence moderation in emerging economies," Technology in Society, Elsevier, vol. 68(C).
    4. Fang, Zhen & Razzaq, Asif & Mohsin, Muhammad & Irfan, Muhammad, 2022. "Spatial spillovers and threshold effects of internet development and entrepreneurship on green innovation efficiency in China," Technology in Society, Elsevier, vol. 68(C).

    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. Hansmeier Hendrik & Kroll Henning, 2024. "The geography of eco-innovations and sustainability transitions: A systematic comparison," ZFW – Advances in Economic Geography, De Gruyter, vol. 68(2), pages 125-143.
    2. Nusrate Aziz & Belayet Hossain & Laura Lamb, 2022. "Does green policy pay dividends?," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(2), pages 147-172, April.
    3. Adrián Rabadán & Ángela Triguero & Ángela Gonzalez-Moreno, 2020. "Cooperation as the Secret Ingredient in the Recipe to Foster Internal Technological Eco-Innovation in the Agri-Food Industry," IJERPH, MDPI, vol. 17(7), pages 1-19, April.
    4. Neng Shen & Yuqing Zhao & Qunwei Wang, 2018. "Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data," Sustainability, MDPI, vol. 10(6), pages 1-22, June.
    5. Jiaoping Yang & Shujun Wang & Shan Sun & Jianhua Zhu, 2022. "Influence Mechanism of High-Tech Industrial Agglomeration on Green Innovation Performance: Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    6. Ran Feng & Xiaoe Qu, 2023. "Innovation-Driven Industrial Agglomeration Impact on Green Economic Growth in the Yellow River Basin: An Empirical Analysis," Sustainability, MDPI, vol. 15(17), pages 1-24, September.
    7. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    8. Haiqian Ke & Wenyi Yang & Xiaoyang Liu & Fei Fan, 2020. "Does Innovation Efficiency Suppress the Ecological Footprint? Empirical Evidence from 280 Chinese Cities," IJERPH, MDPI, vol. 17(18), pages 1-23, September.
    9. Marin, Giovanni & Vona, Francesco, 2023. "Finance and the reallocation of scientific, engineering and mathematical talent," Research Policy, Elsevier, vol. 52(5).
    10. Losacker, Sebastian, 2022. "‘License to green’: Regional patent licensing networks and green technology diffusion in China," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    11. Ying, Ying & Wang, Shixiang & Liu, Yang, 2022. "Make bricks without straw: Eco-innovation for resource-constrained firms in emerging markets," Technovation, Elsevier, vol. 114(C).
    12. Wang, Jun-Zhuo & Feng, Gen-Fu & Chang, Chun-Ping, 2024. "How does political instability affect renewable energy innovation?," Renewable Energy, Elsevier, vol. 230(C).
    13. Liang Liu & Yuting Zhao & Xiujuan Gong & Shu Liu & Mengyue Li & Yirui Yang & Pan Jiang, 2023. "Threshold Effect of Environmental Regulation and Green Innovation Efficiency: From the Perspective of Chinese Fiscal Decentralization and Environmental Protection Inputs," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
    14. Zhang, Zeyi & Luo, Xuehua & Hu, Huiying & Du, Jiating & Xu, Baoliang, 2023. "Market integration and urban air quality: Evidence from the Yangtze River Economic Belt of China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 910-928.
    15. Qin Ye, 2021. "The impact of knowledge depth and breadth on the geography of analytical industry technological networks: Evidence from China’s biotechnology industry," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2238-2255, December.
    16. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
    17. Ying Song & Lu Yang & Stavros Sindakis & Sakshi Aggarwal & Charles Chen, 2023. "Analyzing the Role of High-Tech Industrial Agglomeration in Green Transformation and Upgrading of Manufacturing Industry: the Case of China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 3847-3877, December.
    18. Zhang, Xiaoqian & Yao, Shujie & Zheng, Weiwei & Fang, Jing, 2023. "On industrial agglomeration and industrial carbon productivity --- impact mechanism and nonlinear relationship," Energy, Elsevier, vol. 283(C).
    19. Qin, Shufeng & Xiong, Yongqing, 2024. "Differences in the innovation effectiveness of China's new energy vehicle industry policies: A comparison of subsidized and non-subsidized policies," Energy, Elsevier, vol. 304(C).
    20. Artur Santoalha & Davide Consoli & Fulvio Castellacci, 2019. "Do digital skills foster green diversification? A study of European regions," Working Papers on Innovation Studies 20191029, Centre for Technology, Innovation and Culture, University of Oslo.

    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:13:y:2021:i:7:p:3809-:d:526854. 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.