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Research on the Impact of the Industrial Cluster Effect on the Profits of New Energy Enterprises in China: Based on the Moran’s I Index and the Fixed-Effect Panel Stochastic Frontier Model

Author

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  • Jialiang Sun

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100089, China)

  • Pengxiang Fan

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100089, China)

  • Ke Wang

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100089, China)

  • Zixuan Yu

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100089, China)

Abstract

The new energy industry is an imperative method through which to achieve sustainable development. Industrial clusters are one of the main states in the development of the new energy industry. However, few existing studies discuss the impact of industrial clusters on the relevant indicators of new energy enterprises. Based on panel data for the period 2011–2021 of 39 sample enterprises listed in China in 2011 and before, this empirical study first analyzes the spatial autocorrelation of the sample enterprises using the Global Moran’s I and Local Moran’s I, and then treats the Local Moran’s I of enterprises as a perturbation factor of the inefficiency term, using a fixed-effects panel stochastic frontier model to empirically analyze the effect of industrial clusters on the profits of the sample enterprises. The following is found: (1) The layout of new energy enterprises in China presents a specific physical spatial agglomeration phenomenon. Additionally, the layout of profit indicators shows spatial correlation to some extent. (2) When the homogeneity of clustering enterprises increases, the cluster effect can improve profits by reducing inefficiencies in enterprise production. This study provides valuable academic suggestions for the development of the new energy industry.

Suggested Citation

  • Jialiang Sun & Pengxiang Fan & Ke Wang & Zixuan Yu, 2022. "Research on the Impact of the Industrial Cluster Effect on the Profits of New Energy Enterprises in China: Based on the Moran’s I Index and the Fixed-Effect Panel Stochastic Frontier Model," Sustainability, MDPI, vol. 14(21), pages 1-13, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14499-:d:963463
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    References listed on IDEAS

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    1. Dirk Czarnitzki & Hanna Hottenrott & Susanne Thorwarth, 2011. "Industrial research versus development investment: the implications of financial constraints," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(3), pages 527-544.
    2. Boeters, Stefan & Koornneef, Joris, 2011. "Supply of renewable energy sources and the cost of EU climate policy," Energy Economics, Elsevier, vol. 33(5), pages 1024-1034, September.
    3. Stephen A. Ross, 1977. "The Determination of Financial Structure: The Incentive-Signalling Approach," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 23-40, Spring.
    4. Cailou Jiang & Ying Zhang & Maoliang Bu & Weishu Liu, 2018. "The Effectiveness of Government Subsidies on Manufacturing Innovation: Evidence from the New Energy Vehicle Industry in China," Sustainability, MDPI, vol. 10(6), pages 1-11, May.
    5. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    6. He, Jie (Jack) & Tian, Xuan, 2013. "The dark side of analyst coverage: The case of innovation," Journal of Financial Economics, Elsevier, vol. 109(3), pages 856-878.
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