IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v134y2021icp252-262.html
   My bibliography  Save this article

The co-integration identification of green innovation efficiency in Yangtze River Delta region

Author

Listed:
  • Zeng, Juying
  • Škare, Marinko
  • Lafont, Juan

Abstract

The research innovatively identifies the co-integration of green innovation efficiency and its related determinants for 26 cities in Yangtze River Delta region (YRD) in China during 2011–2017. Specifically, the research firstly measures the green innovation efficiency with super slacks based measure and global Malmquist-Luenberger index. The regional green innovation efficiency experienced a steady growth in YRD during 2011–2017, showing YRD is an ecologically pioneer in China. Secondly, the spatial econometric estimation validated that the green innovation efficiency among YRD cities finally realized regional co-integration in 2017 with spatial evolution. Finally, the expenditures on technology and education are positive determinants of green innovation efficiency in a city directly. GDP per capita is the positive determinant for co-integration of green innovation efficiency; while foreign direct investment, the proportion of expenditure on technology, and education proportion in local fiscal budget are negative determinants for co-integration of green innovation efficiency in YRD.

Suggested Citation

  • Zeng, Juying & Škare, Marinko & Lafont, Juan, 2021. "The co-integration identification of green innovation efficiency in Yangtze River Delta region," Journal of Business Research, Elsevier, vol. 134(C), pages 252-262.
    • Handle: RePEc:eee:jbrese:v:134:y:2021:i:c:p:252-262
    DOI: 10.1016/j.jbusres.2021.04.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296321002617
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2021.04.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jingjing Shao & Jingfeng Ge & Xiaomiao Feng & Chaoran Zhao, 2020. "Study on the relationship between PM2.5 concentration and intensive land use in Hebei Province based on a spatial regression model," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-21, September.
    2. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    3. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    4. R. Pace & James LeSage, 2009. "A sampling approach to estimate the log determinant used in spatial likelihood problems," Journal of Geographical Systems, Springer, vol. 11(3), pages 209-225, September.
    5. Tone, Kaoru & Sahoo, Biresh K., 2004. "Degree of scale economies and congestion: A unified DEA approach," European Journal of Operational Research, Elsevier, vol. 158(3), pages 755-772, November.
    6. Adam B. Jaffe & Karen Palmer, 1997. "Environmental Regulation And Innovation: A Panel Data Study," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 610-619, November.
    7. Xie, Xuemei & Huo, Jiage & Zou, Hailiang, 2019. "Green process innovation, green product innovation, and corporate financial performance: A content analysis method," Journal of Business Research, Elsevier, vol. 101(C), pages 697-706.
    8. Jordaan, Sarah M. & Romo-Rabago, Elizabeth & McLeary, Romaine & Reidy, Luke & Nazari, Jamal & Herremans, Irene M., 2017. "The role of energy technology innovation in reducing greenhouse gas emissions: A case study of Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1397-1409.
    9. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    10. Wang, Yun & Sun, Xiaohua & Guo, Xu, 2019. "Environmental regulation and green productivity growth: Empirical evidence on the Porter Hypothesis from OECD industrial sectors," Energy Policy, Elsevier, vol. 132(C), pages 611-619.
    11. Ghisetti, Claudia & Pontoni, Federico, 2015. "Investigating policy and R&D effects on environmental innovation: A meta-analysis," Ecological Economics, Elsevier, vol. 118(C), pages 57-66.
    12. Baumann, Julian & Kritikos, Alexander S., 2016. "The link between R&D, innovation and productivity: Are micro firms different?," Research Policy, Elsevier, vol. 45(6), pages 1263-1274.
    13. Lili DING & Haihong ZHENG & Wanglin KANG, 2017. "Measuring the Green Efficiency of Ocean Economy in China: An Improved Three - Stage DEA Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-22, March.
    14. Acosta, Manuel & Coronado, Daniel & Romero, Carlos, 2015. "Linking public support, R&D, innovation and productivity: New evidence from the Spanish food industry," Food Policy, Elsevier, vol. 57(C), pages 50-61.
    15. El-Kassar, Abdul-Nasser & Singh, Sanjay Kumar, 2019. "Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 483-498.
    16. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    17. Albrizio, Silvia & Kozluk, Tomasz & Zipperer, Vera, 2017. "Environmental policies and productivity growth: Evidence across industries and firms," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 209-226.
    18. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    19. García-Granero, Eva M. & Piedra-Muñoz, Laura & Galdeano-Gómez, Emilio, 2018. "Eco-innovation measurement: A review of firm performance indicators," MPRA Paper 119905, University Library of Munich, Germany.
    20. Pengsheng Li & Yanying Chen, 2019. "The Influence of Enterprises’ Bargaining Power on the Green Total Factor Productivity Effect of Environmental Regulation—Evidence from China," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    21. Michael E. Porter & Claas van der Linde, 1995. "Toward a New Conception of the Environment-Competitiveness Relationship," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 97-118, Fall.
    22. 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.
    23. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
    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. Haochang Yang & Xuan Zhu, 2022. "Research on Green Innovation Performance of Manufacturing Industry and Its Improvement Path in China," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    2. Zhou, Bo & Ding, Hao, 2023. "How public attention drives corporate environmental protection: Effects and channels," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    3. Xin Tian & Qiang Mai & Qinan Zhang & Mingshu Lyu & Shiyao Li, 2024. "Analyzing provincial imbalances in green innovation development in china: multi-way efficiency analysis and geodetector approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26115-26146, October.
    4. Luo, Yusen & Lu, Zhengnan & Wu, Chao, 2023. "Can internet development accelerate the green innovation efficiency convergence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    5. Yan, Xiang & Han, Zhiyong & Zou, Chen & Cheng, Changgao, 2024. "Assessing the role of emerging green technology transfer in sustainable development and identification of key regions in Yangtze River Delta region," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Yang Liu & Yanlin Yang & Shuang Zheng & Lei Xiao & Hongjie Gao & Hechen Lu, 2022. "Dynamic Impact of Technology and Finance on Green Technology Innovation Efficiency: Empirical Evidence from China’s Provinces," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    7. Lindong Ma & Yuanxiao Hong & Xihui Chen & Xiaoyong Quan, 2022. "Can Green Innovation and New Urbanization Be Synergistic Development? Empirical Evidence from Yangtze River Delta City Group in China," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    8. Liwen Sun & Ying Han, 2022. "Spatial Correlation Network Structure and Influencing Factors of Two-Stage Green Innovation Efficiency: Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    9. Jincheng Li & Qian Wang, 2024. "Effect of Financial Support on the Green Technology Innovation of China’s Equipment-Manufacturing Enterprises," Sustainability, MDPI, vol. 16(18), pages 1-26, September.
    10. Ren, Penghan & Cheng, Zhonghua & Dai, Qingling, 2024. "Can green bond issuance promote enterprise green technological innovation?," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    11. 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.
    12. Rashidi-Sabet, Siavash & Madhavaram, Sreedhar & Parvatiyar, Atul, 2022. "Strategic solutions for the climate change social dilemma: An integrative taxonomy, a systematic review, and research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 619-635.
    13. Yuping Deng & Yanrui Wu & Helian Xu, 2022. "Emission Reduction and Value-added Export Nexus at Firm Level," Economics Discussion / Working Papers 22-19, The University of Western Australia, Department of Economics.
    14. Kaixuan Di & Zuankuo Liu & Shanglei Chai & Kanyong Li & Yu Li, 2024. "Spatial correlation network structure of green innovation efficiency and its driving factors in the Bohai Rim region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27227-27247, November.
    15. Wang, Haiyan & Masi, Donato & Dhamotharan, Lalitha & Day, Steven & Kumar, Ajay & Li, Tong & Singh, Gurmeet, 2022. "Unconventional path dependence: How adopting product take-back and recycling systems contributes to future eco-innovations," Journal of Business Research, Elsevier, vol. 142(C), pages 707-717.
    16. Xia, Li & Gao, Shuo & Wei, Jiuchang & Ding, Qiying, 2022. "Government subsidy and corporate green innovation - Does board governance play a role?," Energy Policy, Elsevier, vol. 161(C).
    17. Xuefeng Zheng & Xiufan Zhang & Decheng Fan, 2023. "Research on the Coordinated Development of Innovation Ability and Regional Integration in Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    18. 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.
    19. Yiding Wu & Jingfei Song, 2024. "Impact of New Energy Industry Agglomeration on Green Innovation Efficiency—Based on the Regulative Effect of Green Finance," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    20. Lu Wang & Wenzhong Ye & Lingming Chen, 2021. "Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network," Land, MDPI, vol. 10(11), pages 1-15, November.
    21. Yin, Lei & Du, Shanxing & Chen, Ge, 2024. "The influence of the bank–firm relationship on enterprises’ technological innovation efficiency: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1583-1600.
    22. Wang, Qian & Ren, Shuming, 2022. "Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    23. Mengchao Yao & Jinjun Duan & Qingsong Wang, 2022. "Spatial and Temporal Evolution Analysis of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(11), pages 1-20, May.
    24. Weisong Mi & Kaixu Zhao & Pei Zhang, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Green Innovation in China," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    25. Jiang, Zihao & Liu, Zhiying, 2022. "Policies and exploitative and exploratory innovations of the wind power industry in China: The role of technological path dependence," Technological Forecasting and Social Change, Elsevier, vol. 177(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. Xie, Ronghui & Teo, Thompson S.H., 2022. "Green technology innovation, environmental externality, and the cleaner upgrading of industrial structure in China — Considering the moderating effect of environmental regulation," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Zhou, Lin & Fan, Jianshuang & Hu, Mingzhi & Yu, Xiaofen, 2024. "Clean air policy and green total factor productivity: Evidence from Chinese prefecture-level cities," Energy Economics, Elsevier, vol. 133(C).
    3. Lv, Chengchao & Shao, Changhua & Lee, Chien-Chiang, 2021. "Green technology innovation and financial development: Do environmental regulation and innovation output matter?," Energy Economics, Elsevier, vol. 98(C).
    4. Hepei Zhang & Zhangbao Zhong, 2022. "How Does Environmental Regulation Affect the Green Growth of China’s Citrus Industry? The Mediating Role of Technological Innovation," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    5. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    6. 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).
    7. Zhang, Yijun & Li, Xiaoping & Song, Yi & Jiang, Feitao, 2021. "Can green industrial policy improve total factor productivity? Firm-level evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 51-62.
    8. Zhang, Yaxin & Zeng, Shibo & Wu, Qiaosheng & Fu, Junyi & Li, Tongping, 2023. "A study on the impact of the carbon emissions trading policy on the mining industry based on Porter hypothesis," Resources Policy, Elsevier, vol. 87(PB).
    9. Liu, Hongxun & Gao, Jinfeng & Tian, Peng & Ma, Xiaoming & Meng, Guanfei & Yang, Jingnan & Li, Zhi, 2023. "The impact of environmental regulation on productivity with co-production of goods and bads," Energy Economics, Elsevier, vol. 125(C).
    10. Wang, Xiaoling & Zhang, Tianyue & Nathwani, Jatin & Yang, Fangming & Shao, Qinglong, 2022. "Environmental regulation, technology innovation, and low carbon development: Revisiting the EKC Hypothesis, Porter Hypothesis, and Jevons’ Paradox in China's iron & steel industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    11. Sheng, Jichuan & Ding, Rui & Yang, Hongqiang, 2024. "Corporate green innovation in an aging population: Evidence from Chinese listed companies," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    12. Zhang, Dan & Zheng, Mingbo & Feng, Gen-Fu & Chang, Chun-Ping, 2022. "Does an environmental policy bring to green innovation in renewable energy?," Renewable Energy, Elsevier, vol. 195(C), pages 1113-1124.
    13. Parvez Alam Khan & Satirenjit Kaur Johl & Shireenjit K. Johl, 2021. "Does adoption of ISO 56002‐2019 and green innovation reporting enhance the firm sustainable development goal performance? An emerging paradigm," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2922-2936, November.
    14. Ayça Kubra Hizarci‐Payne & İlayda İpek & Gülüzar Kurt Gümüş, 2021. "How environmental innovation influences firm performance: A meta‐analytic review," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1174-1190, February.
    15. Fang, Zhenming & Kong, Xiaoran & Sensoy, Ahmet & Cui, Xin & Cheng, Feiyang, 2021. "Government’s awareness of Environmental protection and corporate green innovation: A natural experiment from the new environmental protection law in China," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 294-312.
    16. Guo, Ran & Yuan, Yijun, 2020. "Different types of environmental regulations and heterogeneous influence on energy efficiency in the industrial sector: Evidence from Chinese provincial data," Energy Policy, Elsevier, vol. 145(C).
    17. Zhang, Yongji & Lan, Minghui & Zhao, Yapu & Su, Zhi & Hao, Yu & Du, Heran, 2024. "Regional carbon emission pressure and corporate green innovation," Applied Energy, Elsevier, vol. 360(C).
    18. Zhang, Yijun & Song, Yi, 2022. "Tax rebates, technological innovation and sustainable development: Evidence from Chinese micro-level data," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    19. Shihong Zeng & Gen Li & Shaomin Wu & Zhanfeng Dong, 2022. "The Impact of Green Technology Innovation on Carbon Emissions in the Context of Carbon Neutrality in China: Evidence from Spatial Spillover and Nonlinear Effect Analysis," IJERPH, MDPI, vol. 19(2), pages 1-25, January.
    20. Zhao, Aiwu & Wang, Jingyi & Sun, Zhenzhen & Guan, Hongjun, 2022. "Environmental taxes, technology innovation quality and firm performance in China—A test of effects based on the Porter hypothesis," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 309-325.

    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:eee:jbrese:v:134:y:2021:i:c:p:252-262. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.