Research article

Factors influencing the transition of China's economic growth momentum

  • Received: 13 March 2024 Revised: 20 April 2024 Accepted: 25 April 2024 Published: 30 April 2024
  • JEL Codes: C51, O10

  • Driven by factors such as structural economic shifts, technological breakthroughs, policy changes, and global economic transformations, China's economic growth drivers have continuously evolved. We constructed a panel dataset encompassing 31 provinces in China from 2002 to 2021 and utilized both panel data models and panel quantile models to delve into the underlying factors driving this transition. We further investigated the varying impacts of these factors across different temporal and geographical contexts based on the stage analysis and spatial cluster analysis. The findings revealed that capital accumulation, digital economy, and technological innovation were the major drivers shaping China's economic growth momentum transition, exhibiting significant heterogeneity across different quantile levels. Additionally, we observed heterogeneity in the influencing factors across temporal periods and regions.

    Citation: Jinhong Wang, Yanting Xu. Factors influencing the transition of China's economic growth momentum[J]. National Accounting Review, 2024, 6(2): 220-244. doi: 10.3934/NAR.2024010

    Related Papers:

  • Driven by factors such as structural economic shifts, technological breakthroughs, policy changes, and global economic transformations, China's economic growth drivers have continuously evolved. We constructed a panel dataset encompassing 31 provinces in China from 2002 to 2021 and utilized both panel data models and panel quantile models to delve into the underlying factors driving this transition. We further investigated the varying impacts of these factors across different temporal and geographical contexts based on the stage analysis and spatial cluster analysis. The findings revealed that capital accumulation, digital economy, and technological innovation were the major drivers shaping China's economic growth momentum transition, exhibiting significant heterogeneity across different quantile levels. Additionally, we observed heterogeneity in the influencing factors across temporal periods and regions.



    加载中


    [1] Albitar K, Hussainey K (2023) Sustainability, Environmental Responsibility and Innovation. Green Financ 5: 85–88. https://doi.org/10.3934/gf.2023004 doi: 10.3934/gf.2023004
    [2] Amirul SR, Pazim KH, Amirul SM, et al. (2022) Developing and validating the qualitative labour productivity measurement in service industry. Qual Quant 56: 2853–2874. https://doi.org/10.1007/s11135-021-01220-9 doi: 10.1007/s11135-021-01220-9
    [3] Carlsson B, Taymaz E (1993) Technological capabilities and international competitiveness in the engineering industries. Rev Ind Organ 8: 293–313. https://doi.org/10.1007/BF01024236 doi: 10.1007/BF01024236
    [4] Chen B, Lin JY (2021) Development strategy, resource misallocation and economic performance. Struct Change Econ Dyn 59: 612–634. https://doi.org/10.1016/j.strueco.2021.10.003 doi: 10.1016/j.strueco.2021.10.003
    [5] Cruz M, Ahmed SA (2018) On the impact of demographic change on economic growth and poverty. World Dev 105: 95–106. https://doi.org/10.1016/j.worlddev.2017.12.018 doi: 10.1016/j.worlddev.2017.12.018
    [6] Duan J, Liu T, Yang X, et al. (2023) Financial asset allocation and green innovation. Green Financ 5: 512–537. https://doi.org/10.3934/gf.2023020 doi: 10.3934/gf.2023020
    [7] Fang C (2018) Population dividend and economic growth in China, 1978–2018. China Econ J 11: 243–258. https://doi.org/10.1080/17538963.2018.1509529 doi: 10.1080/17538963.2018.1509529
    [8] Gholami S, Zarafshan E, Sheikh R, et al. (2023) Using deep learning to enhance business intelligence in organizational management. Data Sci Financ Econ 3: 337–353. https://doi.org/10.3934/dsfe.2023020 doi: 10.3934/dsfe.2023020
    [9] Guan J, Xu H, Huo D, et al. (2021) Economic policy uncertainty and corporate innovation: Evidence from China. Pac-Basin Financ J 67: 101542. https://doi.org/10.1016/j.pacfin.2021.101542 doi: 10.1016/j.pacfin.2021.101542
    [10] Guinot J, Barghouti Z, Beltran-Martin I, et al. (2023) Corporate social responsibility toward employees and green innovation: Exploring the link in the tourism sector. Green Finan 5: 298–320. https://doi.org/10.3934/gf.2023012 doi: 10.3934/gf.2023012
    [11] Han JY, He M, Xie HL, et al. (2022) The Impact of Scientific and Technological Innovation on High-Quality Economic Development in the Yangtze River Delta Region. Sustainability 14:14346. https://doi.org/10.3390/su142114346 doi: 10.3390/su142114346
    [12] Huang Z, Liao G, Li Z (2019) Loaning scale and government subsidy for promoting green innovation. Technol Forecast Soc Chang 144: 148–156. https://doi.org/10.1016/j.techfore.2019.04.023 doi: 10.1016/j.techfore.2019.04.023
    [13] Idowu A, Ohikhuare OM, Chowdhury MA (2023) Does industrialization trigger carbon emissions through energy consumption? Evidence from OPEC countries and high industrialised countries. Quant Financ Econ 7: 165–186. https://doi.org/10.3934/qfe.2023009 doi: 10.3934/qfe.2023009
    [14] Jayasuriya S (2012) Demographic Dividends, Dependencies, and Economic Growth in China and India Comments. Asian Econ Pap 11: 27–29.
    [15] Krasnoselskaya D, Timiryanova V (2023) Exploring the impact of ecological dimension on municipal investment: empirical evidence from Russia. Natl Account Rev 5: 227–244. https://doi.org/10.3934/nar.2023014 doi: 10.3934/nar.2023014
    [16] Li L, Rao M (2023) The impact of government intervention on innovation efficiency of green technology-a threshold effect analysis based on environmental taxation and government subsidies. Front Energy Res 11: 1197158. https://doi.org/10.3389/fenrg.2023.1197158 doi: 10.3389/fenrg.2023.1197158
    [17] Li Z, Chen H, Mo B (2023) Can digital finance promote urban innovation? Evidence from China. Borsa Istanb Rev 23: 285–296. https://doi.org/10.1016/j.bir.2022.10.006 doi: 10.1016/j.bir.2022.10.006
    [18] Li Z, Huang Z, Dong H (2019) The Influential Factors on Outward Foreign Direct Investment: Evidence from the "The Belt and Road". Emerg Mark Financ Trade 55: 3211–3226. https://doi.org/10.1080/1540496x.2019.1569512 doi: 10.1080/1540496x.2019.1569512
    [19] Liu G, Yi H, Liang H (2023) Measuring provincial digital finance development efficiency based on stochastic frontier model. Quant Financ Econ 7: 420–439. https://doi.org/10.3934/qfe.2023021 doi: 10.3934/qfe.2023021
    [20] Liu X, Liu W, Xie Y, et al. (2023) The role of government in the innovation ecology of high-tech industries: a case study of China's new energy vehicle industry. Int J Tech Policy Manage 23: 123–147. https://doi.org/10.1504/IJTPM.2023.131372 doi: 10.1504/IJTPM.2023.131372
    [21] Liu Z, Qi H, Liu S (2022) Labor Shrinkage and its Driving Forces in China from 1990 to 2015: A Geographical Analysis. Appl Spat Anal Policy 15: 339–364. https://doi.org/10.1007/s12061-021-09414-2 doi: 10.1007/s12061-021-09414-2
    [22] Luis-Alberto A, Christian BV, Paulo-Guilherme C (2013) The impact of government support on firm R & D investments: a meta-analysis. World Bank Group. Available from: http://documents.worldbank.org/curated/en/158151468164363390/The-impact-of-government-support-on-firm-R-D-investments-a-meta-analysis.
    [23] Luo F, Chen F, Yang D, et al. (2023) Assessing the total factor productivity growth decomposition: the transformation of economic growth momentum and policy choice in China. Environ Sci Pollut Res 30: 34503–34517. https://doi.org/10.1007/s11356-022-24282-0 doi: 10.1007/s11356-022-24282-0
    [24] Papamichail G, Rosiello A, Wield D (2023) Addressing Public Policy Implementation Challenges in Lagging Regions Through the Analytical Lens of Smart Specialisation. J Knowl Econ 14: 356–381. https://doi.org/10.1007/s13132-021-00874-y doi: 10.1007/s13132-021-00874-y
    [25] Peng W, Xu J, He Z (2023) The impact of human capital on green economic efficiency: evidence from 280 prefectural cities in China. Environ Sci Pollut Res 30: 72415–72429. https://doi.org/10.1007/s11356-023-27014-0 doi: 10.1007/s11356-023-27014-0
    [26] Sager F, Gofen A (2022) The polity of implementation: Organizational and institutional arrangements in policy implementation. Governance 35: 347–364. https://doi.org/10.1111/gove.12677 doi: 10.1111/gove.12677
    [27] Shvets S (2024) Public investment as a growth driver for a commodity-exporting economy: Sizing up the fiscal-monetary involvement. Natl Account Rev 6: 95–115. https://doi.org/10.3934/NAR.2024005 doi: 10.3934/NAR.2024005
    [28] Singh R (2015) Forces of economic growth in China, India, and other Asian countries. Asian-Pac Econ Lit 29: 62–81. https://doi.org/10.1111/apel.12090 doi: 10.1111/apel.12090
    [29] Taketoshi K (2020) How and to what extent has the demographic dividend affected China's economic growth?. Int J Econ Policy Stud 14: 337–350. https://doi.org/10.1007/s42495-020-00040-3 doi: 10.1007/s42495-020-00040-3
    [30] Wen Y, Xu Y (2023) Statistical monitoring of economic growth momentum transformation: empirical study of Chinese provinces. AIMS Math 8: 24825–24847. https://doi.org/10.3934/math.20231266 doi: 10.3934/math.20231266
    [31] Wu W, Lin B (2020) Reducing Overcapacity in China's Coal Industry: A Real Option Approach. Comput Econ 55: 1073–1093. https://doi.org/10.1007/s10614-018-9872-z doi: 10.1007/s10614-018-9872-z
    [32] Xia L, Baghaie S, Sajadi SM (2024) The digital economy: Challenges and opportunities in the new era of technology and electronic communications. Ain Shams Eng J 15: 102411. https://doi.org/10.1016/j.asej.2023.102411 doi: 10.1016/j.asej.2023.102411
    [33] Xu J, Haris M, Haris I (2023) Assessing intellectual capital performance of banks during COVID-19: Evidence from China and Pakistan. Quant Financ Econ 7: 356370. https://doi.org/10.3934/qfe.2023017 doi: 10.3934/qfe.2023017
    [34] Xu Y, Li T (2023) Measurement and spatiotemporal patterns of China's digital economy efficiency. Aims Math 8: 29307–29331. https://doi.org/10.3934/math.20231500 doi: 10.3934/math.20231500
    [35] Xu Y, Li T (2022) Measuring digital economy in China. Natl Account Rev 4: 251–272. https://doi.org/10.3934/NAR.2022015 doi: 10.3934/NAR.2022015
    [36] Yang C (2023) Digital economy drives regional industrial structure upgrading: Empirical evidence from China's comprehensive big data pilot zone policy. Plos One 18: e0295609. https://doi.org/10.1371/journal.pone.0295609 doi: 10.1371/journal.pone.0295609
    [37] Ye J, Chen Z, Peng B (2021) Is the demographic dividend diminishing in China? Evidence from population aging and economic growth during 1990-2015. Rev Dev Econ 25: 2255–2274. https://doi.org/10.1111/rode.12794 doi: 10.1111/rode.12794
    [38] Zhou X, Cai Z, Tan KH, et al. (2021) Technological innovation and structural change for economic development in China as an emerging market. Technol Forecast Soc Chang 167: 120671. https://doi.org/10.1016/j.techfore.2021.120671 doi: 10.1016/j.techfore.2021.120671
    [39] Zou T (2024) Technological innovation promotes industrial upgrading: An analytical framework. Struct Change Econ Dyn 70: 150–167. https://doi.org/10.1016/j.strueco.2024.01.012 doi: 10.1016/j.strueco.2024.01.012
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(339) PDF downloads(29) Cited by(0)

Article outline

Figures and Tables

Tables(11)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog