Engineering & Capital Goods News

Research on the mechanism of information infrastructure affecting industrial structure upgrading


  • Hong, Y., Liu, W. & Song, H. Spatial econometric analysis of effect of new economic momentum on China’s high-quality development. Res. Int. Bus. Financ. 61, 1–15. https://doi.org/10.1016/j.ribaf.2022.101621 (2022).

    Article 

    Google Scholar 

  • Yang, Y., Su, X. & Yao, S. Nexus between green finance, fintech, and high-quality economic development: Empirical evidence from China. Resour. Policy 74, 1–8. https://doi.org/10.1016/j.resourpol.2021.102445 (2021).

    Article 

    Google Scholar 

  • Zhou, Y., Xiao, F. & Deng, W. Is smart city a slogan? Evidence from China. Asian Geogr. https://doi.org/10.1080/10225706.2022.2052734 (2022).

    Article 

    Google Scholar 

  • Xu, Y. H. The relationship between industrial structure upgrading and metreopolitanization. 2017 4th International Conference on Industrial Economics System and Industrial Security Engineering (IEIS). https://doi.org/10.1109/IEIS.2017.8078579 (IEEE, 2017).

  • Lei, T. Study on Mechanism of Big Data to Promote the Upgrading of Industrial Structure. 2016 ICMIBI International Conference on Humanity, Education and Social Science (ICMIBI-HESS 2016) 62, 156–161 (Singapore Management & Sports Science INST PTE LTD, 2016).

  • Zhang, P. et al. The impact of information infrastructure on air pollution: Empirical evidence from China. Int. J. Environ. Res. Public Health 19, 1–18 (2022).

    CAS 

    Google Scholar 

  • Kuznets, S. Modern economic growth: Findings and reflections. Am. Econ. Rev. 63, 247–258 (1973).

    Google Scholar 

  • Wang, C., Wan, G. & Zhang, Y. Regional inequality and structural change: China 1978–2016. J. Manag. World 35, 11–26. https://doi.org/10.19744/j.cnki.11-1235/f.2019.0076 (2019).

    Article 

    Google Scholar 

  • Zhang, L., Tao, Y. & Nie, C. Does broadband infrastructure boost firm productivity? Evidence from a quasi-natural experiment in China. Financ. Res. Lett. 48, 1–11. https://doi.org/10.1016/j.frl.2022.102886 (2022).

    Article 
    ADS 

    Google Scholar 

  • Acemoglu, D. & Restrepo, P. The race between man and machine: Implications of technology for growth, factor shares and employment. Am. Econ. Rev. 108, 1488–1542. https://doi.org/10.1257/aer.20160696 (2018).

    Article 

    Google Scholar 

  • Wang, H. Y. et al. Research on the industrial upgrade of vegetable growers in Shaanxi: A cross-regional comparative analysis of experience reference. Agronnmy-Basel https://doi.org/10.3390/agronomy12010038 (2022).

    Article 

    Google Scholar 

  • Liu, J. H., Lu, G. Q. & Li, F. L. Devolopment of Service Outsourcing Based on Gray Correlation Factors Theory. Proceedings of the 2016 International Conference on Education, Management and Computer Science(ICEMC 2016) 129, 150–154. https://doi.org/10.2991/ICEMC-16.2016.31 (Atlantis Press, 2016).

  • Li, D. S. & Zhao, Y. F. Does internet promote green growth? An Empirical test from China. Pol. J. Environ. Stud. 30, 5089–5103. https://doi.org/10.15244/pjoes/134089 (2021).

    Article 

    Google Scholar 

  • Dong, F. et al. Information infrastructure and greenhouse gas emission performance in urban China: A difference-in-differences analysis. J. Environ. Manag. https://doi.org/10.1016/j.jenvman.2022.115252 (2022).

    Article 

    Google Scholar 

  • Tang, C., Xue, Y., Wu, H. T., Irfan, M. & Hao, Y. How does telecommunications infrastructure affect eco-efficiency? Evidence from a quasi-natural experiment in China. Technol. Soc. https://doi.org/10.1016/j.techsoc.2022.101963 (2022).

    Article 

    Google Scholar 

  • Ren, S. Y., Hao, Y., Xu, L., Wu, H. T. & Ba, N. Digitalization and energy: How does internet development affect China’s energy consumption?. Energy Econ. https://doi.org/10.1016/j.eneco.2021.105220 (2021).

    Article 

    Google Scholar 

  • Wang, K. L., Pang, S. Q., Zhang, F. Q., Miao, Z. & Sun, H. P. The impact assessment of smart city policy on urban green total-factor productivity: Evidence from China. Environ. Impact Assess. Rev. https://doi.org/10.1016/j.eiar.2022.106756 (2022).

    Article 

    Google Scholar 

  • Vedagiri, P., Tekal, S. & Purna Chandu, S. Experimental and numerical studies on biodiesel ternary fuel blends using entropy TOPSIS method. Mater. Today https://doi.org/10.1016/j.matpr.2022.08.219 (2022).

    Article 

    Google Scholar 

  • Boafo-Mensah, G. et al. Modelling the performance potential of forced and natural-draft biomass cookstoves using a hybrid Entropy-TOPSIS approach. Biomass Bioenerg. 150, 106106. https://doi.org/10.1016/j.biombioe.2021.106106 (2021).

    Article 
    CAS 

    Google Scholar 

  • Goswami, S. S., Jena, S. & Behera, D. K. Selecting the best AISI steel grades and their proper heat treatment process by integrated entropy-TOPSIS decision making techniques. Mater. Today 60, 1130–1139. https://doi.org/10.1016/j.matpr.2022.02.286 (2022).

    Article 
    CAS 

    Google Scholar 

  • Wen, Z. & Ye, B. Analyses of mediating effects: The development of methods and moodels. Adv. Psychol. Sci. 22, 731–745 (2014).

    Article 

    Google Scholar 

  • Agrawal, A. K., Gans, J. S. & Goldfarb, A. Economic policy for artificial intelligence. Soc. Sci. Electron. Pub. 19, 139–159 (2019).

    Google Scholar 

  • Brynjolfsson, E., Mitchell, T. & Rock, D. What can machines learn, and what does it mean for occupations and the economy?. Soc. Sci. Electron. Pub. 108, 43–47 (2018).

    Google Scholar 

  • Sachs, J. D., Yang, X. & Zhang, D. Trade Pattern and Economic Development when Endogenous and Exogenous Comparative Advantages Coexist. (1999).

  • Yang, X. & Zhang, D. Economic development, international trade, and income distribution. J. Econ. 78, 163–190 (2003).

    Article 
    MATH 

    Google Scholar 

  • Ahmadpoor, M. & Jones, B. F. The dual frontier: Patented inventions and prior scientific advance. Science 357, 583–587 (2017).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 

  • Mac, G. Do firms learn from international trade?. Rev. Econ. Stat. 88, 46–60 (2006).

    Article 

    Google Scholar 

  • Kongsamut, P., Rebelo, S. & Xie, D. Beyond balanced growth. Rev. Econ. Stud. 68, 869–882 (2001).

    Article 
    MathSciNet 
    MATH 

    Google Scholar 

  • Busso, M., Chauvin, J. P. & Herrera L, N. Rural-urban migration at high urbanization levels. Regional Science and Urban Economics 91, 1–21, doi: https://doi.org/10.1016/j.regsciurbeco.2021.103658 (2021).

  • Asadzadeh, A. et al. Urbanization, migration, and the challenges of resilience thinking in urban planning: Insights from two contrasting planning systems in Germany and Iran. Cities 125, 1–18. https://doi.org/10.1016/j.cities.2022.103642 (2022).

    Article 

    Google Scholar 

  • Korinek, A. & Stiglitz, J. E. Artificial Intelligence and Its Implications for Income Distribution and Unemployment. NBER Chapters (2018).

  • Acemoglu, D. & Restrepo, P. Automation and new tasks: How technology displaces and reinstates labor. J. Econ. Perspect. 33, 3–30 (2019).

    Article 

    Google Scholar 

  • Foellmi, R. & Zweimüller, J. Structural change, Engel’s consumption cycles and Kaldor’s facts of economic growth. J. Monet. Econ. 55, 1317–1328 (2008).

    Article 

    Google Scholar 

  • Boppart & Timo. Structural change and the Kaldor facts in a growth model with relative price effects and non-Gorman preferences. Econometrica 82, 2167–2196 (2014).

    Article 
    MathSciNet 
    MATH 

    Google Scholar 

  • Baumol, W. J. Macroeconomics of unbalanced growth: The anatomy of urban crisis. Am. Econ. Rev. 57, 415–426 (1967).

    Google Scholar 

  • Ngai, L. R. & Pissarides, C. Structural change in a multi-sector model of growth. Am. Econ. Rev. 97, 429–433 (2007).

    Article 

    Google Scholar 

  • Bygstad, B. Generative mechanisms for innovation in information infrastructures. Inf. Organ. 20, 156–168. https://doi.org/10.1016/j.infoandorg.2010.07.001 (2010).

    Article 

    Google Scholar 

  • Jabbouri, N. I., Siron, R., Zahari, I. & Khalid, M. Impact of information technology infrastructure on innovation performance: An empirical study on private universities in Iraq. Procedia Econ. Financ. 39, 861–869. https://doi.org/10.1016/S2212-5671(16)30250-7 (2016).

    Article 

    Google Scholar 

  • Vu, K. M. ICT as a source of economic growth in the information age: Empirical evidence from the 1996–2005 period. Telecommun. Policy 35, 357–372 (2011).

    Article 

    Google Scholar 

  • Xiao, F., Wang, J. & Du, D. High-speed rail heading for innovation: the impact of HSR on intercity technology transfer. Area Dev. Policy 7, 293–311 (2022).

    Article 

    Google Scholar 

  • Baron, R. M. & Kenny, D. A. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Chapman Hall 51, 1173–1182 (1986).

    CAS 

    Google Scholar 

  • Song, Y., Zhang, X. & Zhang, M. The influence of environmental regulation on industrial structure upgrading: Based on the strategic interaction behavior of environmental regulation among local governments. Technol. Forecast. Soc. Chang. 170, 1–12. https://doi.org/10.1016/j.techfore.2021.120930 (2021).

    Article 

    Google Scholar 

  • Qiao, L., Li, L. & Fei, J. Information infrastructure and air pollution: Empirical analysis based on data from Chinese cities. Econ. Anal. Policy 73, 563–573. https://doi.org/10.1016/j.eap.2021.12.014 (2022).

    Article 

    Google Scholar 

  • Sun, W. & Guo, D. The impact of information infrastructure on enterprise labor demand: Change of labor demand scale and structure, and its influence channel. China Ind. Econ. 38, 78–96. https://doi.org/10.19581/j.cnki.ciejournal.2021.11.004 (2021).

    Article 

    Google Scholar 

  • Chen, L., Li, J. & Xu, C. Information infrastructure and economic growth: Analysis based on provincial data. J. Manag. Sci. 24, 98–107 (2011).

    Google Scholar 

  • Chenery, H. B. Pattern of industrial growth. Am. Econ. Rev. 50, 624–654 (1960).

    Google Scholar 

  • Griffin, G. Secular and cross-section industrialization patterns: Some further evidence on the Kuznets-Chenery controversy. Rev. Econ. Stat. 56, 360–368 (1974).

    Article 

    Google Scholar 

  • Brandt, L., Biesebroeck, J. V. & Zhang, Y. Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing. J. Dev. Econ. 97, 339–351 (2012).

    Article 

    Google Scholar 

  • Francois, F. & Elena, S. Public spending structure, minimal state and economic growth in France (1870–2010). Econ. Model. 72, 151–164 (2018).

    Article 

    Google Scholar 

  • Colin, C. The Conditions of Economic Progress (Macmillan, 1940).

    Google Scholar 

  • Ngai, L. R. & Pissarides, C. A. Structural change in a multisector model of growth. Am. Econ. Rev. 97, 429–443 (2007).

    Article 

    Google Scholar 

  • Murphy, K. M., Shleifer, A. & Vishny, R. W. Industrialization and the big push. J. Polit. Econ. 97, 1003–1026 (1989).

    Article 

    Google Scholar 

  • Henderson, V. Medium size cities. Reg. Sci. Urban Econ. 27, 583–612 (1997).

    Article 

    Google Scholar 

  • Acemoglu, D. & Guerrieri, V. Capital deepening and non-balanced economic growth. J. Political Econ. 116, 467–498. https://doi.org/10.1086/589523 (2008).

    Article 

    Google Scholar 

  • Amighini, A. A. & Sanfilippo, M. Impact of south-south FDI and trade on the export upgrading of African economies. SSRN Electron. J. 64, 1–17 (2013).

    Google Scholar 

  • Liu, J., Chang, H., Forrest, J.Y.-L. & Yang, B. Influence of artificial intelligence on technological innovation: Evidence from the panel data of china’s manufacturing sectors. Technol. Forecast. Soc. Chang. 158, 120142. https://doi.org/10.1016/j.techfore.2020.120142 (2020).

    Article 

    Google Scholar 

  • Xue, Y., Fang, C. & Dong, Y. The impact of new relationship learning on artificial intelligence technology innovation. Int. J. Innov. Stud. 5, 2–8. https://doi.org/10.1016/j.ijis.2020.11.001 (2021).

    Article 

    Google Scholar 

  • Huang, H., Wang, X., Sengan, S. & Chandu, T. Emotional intelligence for board capital on technological innovation performance of high-tech enterprises. Aggress. Violent Behav. https://doi.org/10.1016/j.avb.2021.101633 (2021).

    Article 

    Google Scholar 

  • Li, J. et al. Spatiotemporal analysis of the relationship between urbanization and the eco-environment in the Kashgar metropolitan area, China. Ecol. Indic. 135, 108524. https://doi.org/10.1016/j.ecolind.2021.108524 (2022).

    Article 

    Google Scholar 



  • Source link