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How Supply Chain Integration Affects Innovation in a Digital Age: Moderating Effects of Sustainable Policy

Author

Listed:
  • Qiang Xu

    (School of Management, Zhejiang University of Technology, Hangzhou 310023, China)

  • Qianqian Hu

    (School of Management, Zhejiang University of Technology, Hangzhou 310023, China)

  • Tachia Chin

    (School of Management, Zhejiang University of Technology, Hangzhou 310023, China)

  • Chen Chen

    (School of Management, Zhejiang University of Technology, Hangzhou 310023, China)

  • Yi Shi

    (School of Management, Zhejiang University of Technology, Hangzhou 310023, China)

  • Jianxin Xu

    (School of Management, Hangzhou Dianzi University, Hangzhou 310023, China)

Abstract

With the rapid development of digital technologies and increasing public attention on environmental problems, it has become a new challenge for global enterprises to manage supply chains responsibly, so as to improve their innovation performance for sustainability. Prior works have identified the effects of supply chain integration on firm innovation in advanced economies; however, so far, there has been limited research on the relationships between supply chain integration and firm innovation in emerging and developing countries. Hence, building upon transaction cost and resource dependence theories, this study used China’s manufacturing industry as the research setting, probing the dynamic mechanisms between supply chain integration and firm innovation. The results show that the degree of supply chain integration positively relates to firms’ patent output but negatively relates to their innovation efficiency, and that a sustainable policy moderates the foregoing associations. Our study enriches the body of knowledge regarding responsible supply chain integration in a new digital age with growing ecological concerns and thereby offers insightful practical implications for practitioners and policy makers.

Suggested Citation

  • Qiang Xu & Qianqian Hu & Tachia Chin & Chen Chen & Yi Shi & Jianxin Xu, 2019. "How Supply Chain Integration Affects Innovation in a Digital Age: Moderating Effects of Sustainable Policy," Sustainability, MDPI, vol. 11(19), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5460-:d:272884
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    References listed on IDEAS

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    1. Nelly Oelze & Stefan Ulstrup Hoejmose & Andre Habisch & Andrew Millington, 2016. "Sustainable Development in Supply Chain Management: The Role of Organizational Learning for Policy Implementation," Business Strategy and the Environment, Wiley Blackwell, vol. 25(4), pages 241-260, May.
    2. James H. Stock & Mark W. Watson, 2008. "Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression," Econometrica, Econometric Society, vol. 76(1), pages 155-174, January.
    3. Sergio G. Lazzarini, 2015. "Strategizing by the government: Can industrial policy create firm-level competitive advantage?," Strategic Management Journal, Wiley Blackwell, vol. 36(1), pages 97-112, January.
    4. Tachia Chin & Yin Yang & Pei Zhang & Xiaofen Yu & Luying Cao, 2019. "Co-creation of Social Innovation: Corporate Universities as Innovative Strategies for Chinese Firms to Engage with Society," Sustainability, MDPI, vol. 11(5), pages 1-13, March.
    5. Guo, Di & Guo, Yan & Jiang, Kun, 2016. "Government-subsidized R&D and firm innovation: Evidence from China," Research Policy, Elsevier, vol. 45(6), pages 1129-1144.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Bosetti, Valentina & Cattaneo, Cristina & Verdolini, Elena, 2015. "Migration of skilled workers and innovation: A European Perspective," Journal of International Economics, Elsevier, vol. 96(2), pages 311-322.
    8. Kaihua Chen & Jiancheng Guan, 2012. "Measuring the Efficiency of China's Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA)," Regional Studies, Taylor & Francis Journals, vol. 46(3), pages 355-377, April.
    9. Chan, Howard W. & Faff, Robert W., 2003. "An investigation into the role of liquidity in asset pricing: Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 11(5), pages 555-572, November.
    10. Engler, Philipp & Tervala, Juha, 2018. "Hysteresis and fiscal policy," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 39-53.
    11. Tachia Chin & Ren-huai Liu & Xuemei Yang, 2016. "‘Reverse internationalization’ in Chinese firms: a study of how global startup OEMs seek to compete domestically," Asia Pacific Business Review, Taylor & Francis Journals, vol. 22(2), pages 201-219, April.
    12. Tristan Kenderdine, 2017. "China's Industrial Policy, Strategic Emerging Industries and Space Law," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 4(2), pages 325-342, May.
    13. Lii, Peirchyi & Kuo, Fang-I, 2016. "Innovation-oriented supply chain integration for combined competitiveness and firm performance," International Journal of Production Economics, Elsevier, vol. 174(C), pages 142-155.
    14. Pero, Margherita & Stößlein, Martin & Cigolini, Roberto, 2015. "Linking product modularity to supply chain integration in the construction and shipbuilding industries," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 602-615.
    15. Munshi Naser Ibne Afzal, 2014. "An empirical investigation of the National Innovation System (NIS) using Data Envelopment Analysis (DEA) and the TOBIT model," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(4), pages 507-523, July.
    16. Guoying Deng & Shaoyang Zhao & Nanmiao Zhu, 2015. "Does Refinancing Incentive Affect Cash Dividends Policy? Evidence from the Semimandatory Dividend Policy in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(6), pages 1099-1116, November.
    17. Nelly Oelze, 2017. "Sustainable Supply Chain Management Implementation–Enablers and Barriers in the Textile Industry," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    18. Rahul Kapoor & Ron Adner, 2012. "What Firms Make vs. What They Know: How Firms' Production and Knowledge Boundaries Affect Competitive Advantage in the Face of Technological Change," Organization Science, INFORMS, vol. 23(5), pages 1227-1248, October.
    19. Du, Julan & Lu, Yi & Tao, Zhigang, 2012. "Contracting institutions and vertical integration: Evidence from China’s manufacturing firms," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 89-107.
    20. Yang, Qian & Zhao, Xiande, 2016. "Are logistics outsourcing partners more integrated in a more volatile environment?," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 211-220.
    21. Martin Falk, 2012. "Quantile estimates of the impact of R&D intensity on firm performance," Small Business Economics, Springer, vol. 39(1), pages 19-37, July.
    22. Kwon, Tae-hyeong, 2015. "Rent and rent-seeking in renewable energy support policies: Feed-in tariff vs. renewable portfolio standard," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 676-681.
    23. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    24. Poh Wong & Yuen Ho & Erkko Autio, 2005. "Entrepreneurship, Innovation and Economic Growth: Evidence from GEM data," Small Business Economics, Springer, vol. 24(3), pages 335-350, January.
    25. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
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    Cited by:

    1. Safinaz H. Abourokbah & Reem M. Mashat & Mohammad Asif Salam, 2023. "Role of Absorptive Capacity, Digital Capability, Agility, and Resilience in Supply Chain Innovation Performance," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    2. Su-Yol Lee, 2021. "Sustainable Supply Chain Management, Digital-Based Supply Chain Integration, and Firm Performance: A Cross-Country Empirical Comparison between South Korea and Vietnam," Sustainability, MDPI, vol. 13(13), pages 1-13, June.
    3. Hotlan Siagian & Zeplin Jiwa Husada Tarigan & Ferry Jie, 2021. "Supply Chain Integration Enables Resilience, Flexibility, and Innovation to Improve Business Performance in COVID-19 Era," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    4. Shuke Fu & Jiabei Liu & Jiali Tian & Jiachao Peng & Chuyue Wu, 2023. "Impact of Digital Economy on Energy Supply Chain Efficiency: Evidence from Chinese Energy Enterprises," Energies, MDPI, vol. 16(1), pages 1-21, January.
    5. Sabrina Schork & Dilan Özdemir-Kaluk & Cudi Zerey, 2025. "Understanding Innovation and Sustainability in Digital Organizations: A Mixed-Method Approach," Sustainability, MDPI, vol. 17(2), pages 1-25, January.
    6. Huang, Zhi-xiong & Yang, Xiandong, 2021. "Carbon emissions and firm innovation," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 503-513.

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