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Statistical monitoring of economic growth momentum transformation: empirical study of Chinese provinces

  • Received: 09 July 2023 Revised: 13 August 2023 Accepted: 15 August 2023 Published: 23 August 2023
  • MSC : 62P20

  • Statistical monitoring of the level of economic growth momentum transformation is the basis for implementing quantitative policies for economic growth transformation. Based on theoretical analysis and combined with the process of national economic operation, this paper designs an economic growth momentum transformation monitoring indicator system consisting of four dimensions, supply and demand, factors, consumption and trade, using a comprehensive evaluation method to compile the economic growth momentum transformation level index. Using mainland China's provincial data from 2002 to 2021, we calculated the economic growth momentum transformation level of each province and extracted corresponding characteristics. The research found that the economic growth momentum transformation level of provincial economies in China exhibits stage-wise and dimensional differentiation over time, and it has category agglomeration and tiered transfer characteristics in space.

    Citation: Yixian Wen, Yanting Xu. Statistical monitoring of economic growth momentum transformation: empirical study of Chinese provinces[J]. AIMS Mathematics, 2023, 8(10): 24825-24847. doi: 10.3934/math.20231266

    Related Papers:

  • Statistical monitoring of the level of economic growth momentum transformation is the basis for implementing quantitative policies for economic growth transformation. Based on theoretical analysis and combined with the process of national economic operation, this paper designs an economic growth momentum transformation monitoring indicator system consisting of four dimensions, supply and demand, factors, consumption and trade, using a comprehensive evaluation method to compile the economic growth momentum transformation level index. Using mainland China's provincial data from 2002 to 2021, we calculated the economic growth momentum transformation level of each province and extracted corresponding characteristics. The research found that the economic growth momentum transformation level of provincial economies in China exhibits stage-wise and dimensional differentiation over time, and it has category agglomeration and tiered transfer characteristics in space.



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    [1] F. Adedoyin, F. Bekun, O. Driha, D. Balsalobre-Lorente, The effects of air transportation, energy, ICT and FDI on economic growth in the industry 4.0 era: evidence from the United States, Technol. Forecast. Soc., 160 (2020), 120297. https://doi.org/10.1016/j.techfore.2020.120297 doi: 10.1016/j.techfore.2020.120297
    [2] F. Morina, S. Grima, The impact of pension fund assets on economic growth in transition countries, emerging economies, and developed countries, Quant. Financ. Econ., 3 (2022), 459–504. https://doi.org/10.3934/QFE.2022020 doi: 10.3934/QFE.2022020
    [3] H. Ishida, The effect of ICT development on economic growth and energy consumption in Japan, Telemat. Inform., 32 (2015), 79–88. https://doi.org/10.1016/j.tele.2014.04.003 doi: 10.1016/j.tele.2014.04.003
    [4] G. Desalegn, A. Tangl, Forecasting green financial innovation and its implications for financial performance in Ethiopian Financial Institutions: evidence from ARIMA and ARDL model, Natl. Account. Rev., 2 (2022), 95–111. https://doi.org/10.3934/NAR.2022006 doi: 10.3934/NAR.2022006
    [5] B. Muhammad, Energy consumption, CO2 emissions and economic growth in developed, emerging and Middle East and North Africa countries, Energy, 179 (2019), 232–245. https://doi.org/10.1016/j.energy.2019.03.126 doi: 10.1016/j.energy.2019.03.126
    [6] A. AI-Sarihi, J. Cherni, Assessing strengths and weaknesses of renewable energy initiatives in Oman: an analysis with strategic niche management, Energy Transit., 2 (2018), 15–29. https://doi.org/10.1007/s41825-018-0008-9 doi: 10.1007/s41825-018-0008-9
    [7] N. Bai, C. Li, S. Du, L. Zeng, The internal logic and policy orientation of new and old momentum transformation, Macroeconomic Manage., 10 (2021), 19–25. https://doi.org/10.19709/j.cnki.11-3199/f.2021.10.005 doi: 10.19709/j.cnki.11-3199/f.2021.10.005
    [8] Z. Li, J. Zhu, J. He, The effects of digital financial inclusion on innovation and entrepreneurship: a network perspective, Electron. Res. Arch., 30 (2022), 4697–4715. https://doi.org/10.3934/era.2022238 doi: 10.3934/era.2022238
    [9] Y. Feng, Y. Jiang, Y. Peng, Decomposition of China's economic growth drivers: biased technological progress and factor input growth, J. Quant. Tech. Econ., 9 (2017), 39–56. https://doi.org/10.13653/j.cnki.jqte.2017.09.003 doi: 10.13653/j.cnki.jqte.2017.09.003
    [10] Z. Zhu, The transformation of driving forces for China's economic growth and policy choices, J. Quant. Tech. Econ., 3 (2017), 3–20. https://doi.org/10.13653/j.cnki.jqte.2017.03.001 doi: 10.13653/j.cnki.jqte.2017.03.001
    [11] Y. Xu, T. Li, Measuring digital economy in China, Natl. Account. Rev., 3 (2022), 251–272. https://doi.org/10.3934/NAR.2022015 doi: 10.3934/NAR.2022015
    [12] Z. Li, J. Zhong, Impact of economic policy uncertainty shocks on China's financial conditions, Financ. Res. Lett., 35 (2020), 101303. https://doi.org/10.1016/j.frl.2019.101303 doi: 10.1016/j.frl.2019.101303
    [13] R. Khan, H. Arif, N. Sahar, A. Ali, M. Abbasi, The role of financial resources in SMEs' financial and environmental performance; the mediating role of green innovation, Green Financ., 1 (2022), 36–53. https://doi.org/10.3934/GF.2022002 doi: 10.3934/GF.2022002
    [14] Z. Li, Z. Huang, Y. Su, New media environment, environmental regulation and corporate green technology innovation: evidence from China, Energy Econ., 119 (2023), 106545. https://doi.org/10.1016/j.eneco.2023.106545 doi: 10.1016/j.eneco.2023.106545
    [15] X. Xu, H. Peng, Y. Liu, The impact of heterogeneous environmental regulations on the technology innovation of urban green energy: a study based on the panel threshold model, Green Financ., 1 (2022), 115–136. https://doi.org/10.3934/GF.2022006 doi: 10.3934/GF.2022006
    [16] X. Tian, R. Li, Empowering transformation and development of the real economy with digital technology: analysis framework based on Schumpeter's endogenous growth theory, Manage. World, 5 (2022), 56–74. https://doi.org/10.19744/j.cnki.11-1235/f.2022.0076 doi: 10.19744/j.cnki.11-1235/f.2022.0076
    [17] T. Li, J. Wen, D. Zeng, K. Liu, Has enterprise digital transformation improved the efficiency of enterprise technological innovation? A case study on Chinese listed companies, Math. Biosci. Eng., 19 (2022), 12632–12654. https://doi.org/10.3934/mbe.2022590 doi: 10.3934/mbe.2022590
    [18] Z. Li, C. Yang, Z. Huang, How does the fintech sector react to signals from central bank digital currencies? Financ. Res. Lett., 50 (2022), 103308. https://doi.org/10.1016/j.frl.2022.103308 doi: 10.1016/j.frl.2022.103308
    [19] J. Zheng, J. Song, Y. Zhang, Y. Zheng, Q. Jiang, Progress evaluation of the transformation of new and old momentum in China's economic growth, China Ind. Econ., 6 (2018), 24–42. https://doi.org/10.19581/j.cnki.ciejournal.2018.06.003 doi: 10.19581/j.cnki.ciejournal.2018.06.003
    [20] C. Li, R. Zhou, M. Yu, Historical evolution and regional features of new and old momentum transformation in China, J. Quant. Tech. Econ., 2 (2021), 3–23. https://doi.org/10.13653/j.cnki.jqte.20210129.001 doi: 10.13653/j.cnki.jqte.20210129.001
    [21] L. Liu, M. Liu, How does the digital economy affect industrial eco-efficiency? Empirical evidence from China, Data Sci. Financ. Econ., 4 (2022), 371–390. https://doi.org/10.3934/DSFE.2022019 doi: 10.3934/DSFE.2022019
    [22] C. Li, G. Long, S. Li, Research on measurement and disequilibrium of manufacturing digital transformation: Based on the text mining data of A-share listed companies, Data Sci. Financ. Econ., 3 (2023), 30–54. https://doi.org/10.3934/DSFE.2023003 doi: 10.3934/DSFE.2023003
    [23] G. Prah, Innovation and economic performance: the role of financial development, Quant. Financ. Econ., 4 (2022), 696–721. https://doi.org/10.3934/QFE.2022031 doi: 10.3934/QFE.2022031
    [24] M. Adam, Nexus among foreign direct investment, financial development, and sustainable economic growth: empirical aspects from Sudan, Quant. Financ. Econ., 4 (2022), 640–657. https://doi.org/10.3934/QFE.2022028 doi: 10.3934/QFE.2022028
    [25] Z. Li, F. Zou, B. Mo, Does mandatory CSR disclosure affect enterprise total factor productivity? Econ. Res.-Ekonomska Istraživanja, 35 (2022), 4902–4921. https://doi.org/10.1080/1331677X.2021.2019596 doi: 10.1080/1331677X.2021.2019596
    [26] W. Wei, W. Cai, Y. Guo, C. Bai, L. Yang, Decoupling relationship between energy consumption and economic growth in China's provinces from the perspective of resource security, Resour. Policy, 68 (2020), 101693. https://doi.org/10.1016/j.resourpol.2020.101693 doi: 10.1016/j.resourpol.2020.101693
    [27] M. Liu, Q. Ma, The impact of saving rate on economic growth in Asian countries, Natl. Account. Rev., 4 (2022), 412–427. https://doi.org/10.3934/NAR.2022023 doi: 10.3934/NAR.2022023
    [28] Z. Li, B. Mo, H. Nie, Time and frequency dynamic connectedness between cryptocurrencies and financial assets in China, Int. Rev. Econ. Financ., 86 (2023), 46–57. https://doi.org/10.1016/j.iref.2023.01.015 doi: 10.1016/j.iref.2023.01.015
    [29] P. Liu, Y. Zhao, J. Zhu, C. Yang, Technological industry agglomeration, green innovation efficiency, and development quality of city cluster, Green Financ., 4 (2022), 411–435. https://doi.org/10.3934/GF.2022020 doi: 10.3934/GF.2022020
    [30] S. Ren, H. Wu, Path to green development: the role environmental regulation and labor skill premium on green total factor energy efficiency, Green Financ., 4 (2022), 387–410. https://doi.org/10.3934/GF.2022019 doi: 10.3934/GF.2022019
    [31] Z. Li, H. Chen, B. Mo, Can digital finance promote urban innovation? Evidence from China, Borsa Istanb. Rev., 23 (2023), 285–296. https://doi.org/10.1016/j.bir.2022.10.006 doi: 10.1016/j.bir.2022.10.006
    [32] Y. Su, Research on statistical measurement of new driving force of China's economic development and its upgrading path, Chongqing Soc. Sci., 4 (2023), 35–48. https://doi.org/10.19631/j.cnki.css.2023.004.003 doi: 10.19631/j.cnki.css.2023.004.003
    [33] M. Radulescu, L. Serbanescu, C. Sinisi, Consumption vs. investments for stimulating economic growth and employment in the CEE countries–a panel analysis, Econ. Res.-Ekonomska Istraživanja, 32 (2019), 2329–2353. https://doi.org/10.1080/1331677X.2019.1642789 doi: 10.1080/1331677X.2019.1642789
    [34] M. Rosenblatt, Remarks on some nonparametric estimates of a density function, Ann. Math. Statist., 27 (1956), 832–837. https://doi.org/10.1214/aoms/1177728190 doi: 10.1214/aoms/1177728190
    [35] E. Parzen, On estimation of a probability density function and mode, Ann. Math. Statist., 33 (1962), 1065–1076. https://doi.org/10.1214/aoms/1177704472 doi: 10.1214/aoms/1177704472
    [36] D. Fang, M. Pei, Study on the measurement of new and old driving force conversion and its influencing factors, Contemp. Econ. Manage., 1 (2021), 26–32. https://doi.org/10.13253/j.cnki.ddjjgl.2021.01.004 doi: 10.13253/j.cnki.ddjjgl.2021.01.004
    [37] X. Yang, X. Lu, Evolution track and influence effect of regional economic development imbalance, Stat. Decis., 10 (2023), 105–110. https://doi.org/10.13546/j.cnki.tjyjc.2023.10.020 doi: 10.13546/j.cnki.tjyjc.2023.10.020
    [38] S. Xu, T. Chen, Analysis of the measure and mitigation path of unbalanced regional economic development in China, Stat. Decis., 4 (2023), 101–106. https://doi.org/10.13546/j.cnki.tjyjc.2023.04.018 doi: 10.13546/j.cnki.tjyjc.2023.04.018
    [39] Z. Li, G. Liao, K. Albitar, Does corporate environmental responsibility engagement affect firm value? The mediating role of corporate innovation, Bus. Strategy Environ., 3 (2020), 1045–1055. https://doi.org/10.1002/bse.2416 doi: 10.1002/bse.2416
    [40] T. Li, X. Li, K. Albitar, Threshold effects of financialization on enterprise R & D innovation: a comparison research on heterogeneity, Quant. Financ. Econ., 3 (2021), 496–515. https://doi.org/10.3934/QFE.2021022 doi: 10.3934/QFE.2021022
    [41] Z. Li, L. Chen, H. Dong, What are bitcoin market reactions to its-related events? Int. Rev. Econ. Financ., 73 (2021), 1–10. https://doi.org/10.1016/j.iref.2020.12.020 doi: 10.1016/j.iref.2020.12.020
    [42] Z. Li, H. Dong, C. Floros, A. Charemis, P. Failler, Re-examining bitcoin volatility: a CAViaR-based approach, Emerg. Mark. Financ. Tr., 5 (2022), 1320–1338. https://doi.org/10.1080/1540496x.2021.1873127 doi: 10.1080/1540496x.2021.1873127
    [43] J. Zhang, J. Chen, Introduction to China's new normal economy, J. Chin. Econ. Bus. Stud., 15 (2017), 1–4. https://doi.org/10.1080/14765284.2017.1289454 doi: 10.1080/14765284.2017.1289454
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