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How Does Infrastructure Affect Economic Growth? Insights From A Semiparametric Smooth Coefficient Approach And The Case Of Telecommunications In China

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  • Yin‐fang Zhang
  • Kai Sun

Abstract

This paper attempts to shed new empirical light on infrastructure's role in economic growth using a semiparametric smooth coefficient model to avoid specification problems in some existing studies and admit infrastructure‐induced nonlinearity and parameter heterogeneity. Estimated by a three‐step procedure that controls for endogeneity in both the regressors and the environmental variable (infrastructure), the model is applied to the empirical context of telecommunications infrastructure in a fast‐growing economy, China. The results reveal that telecommunications contribute to output through various sources, namely its neutral and non‐neutral impacts. The total/net effect is positive but largely decreases with telecommunications stocks. (JEL L96, O4, O1)

Suggested Citation

  • Yin‐fang Zhang & Kai Sun, 2019. "How Does Infrastructure Affect Economic Growth? Insights From A Semiparametric Smooth Coefficient Approach And The Case Of Telecommunications In China," Economic Inquiry, Western Economic Association International, vol. 57(3), pages 1239-1255, July.
    • Handle: RePEc:bla:ecinqu:v:57:y:2019:i:3:p:1239-1255
    DOI: 10.1111/ecin.12770
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    Citations

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    Cited by:

    1. Hazwan Haini & Pang Wei Loon, 2022. "Information Communication Technologies, Globalisation and Growth: Evidence from the ASEAN Economies," Economic Papers, The Economic Society of Australia, vol. 41(1), pages 34-53, March.
    2. Banaszewska, Monika & Bischoff, Ivo & Bode, Eva & Chodakowska, Aneta, 2022. "Does inter-municipal cooperation help improve local economic performance? – Evidence from Poland," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    3. Geng, Xin & Sun, Kai, 2019. "Gradient estimation of the local-constant semiparametric smooth coefficient model," Economics Letters, Elsevier, vol. 185(C).
    4. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    5. Ogbaro, Eyitayo O., 2019. "Threshold Effects of Institutional Quality in the Infrastructure-Growth Nexus," Journal of Quantitative Methods, University of Management and Technology, Lahore, Pakistan, vol. 3(2), pages 45-61.
    6. Banaszewska, Monika & Bischoff, Ivo, 2021. "Grants-in-aid and election outcomes in recipient jurisdictions: The impact of EU funds on mayoral elections in Poland," European Journal of Political Economy, Elsevier, vol. 68(C).

    More about this item

    JEL classification:

    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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