An empirical study on the factors affecting regional economic growth based on panel data
Qiong Sun
Guangzhou Huashang College Artificial Intelligence College
DOI: https://doi.org/10.59429/bam.v7i4.12385
Keywords: regional economic growth; panel data; technological progress; capital investment; heterogeneity analysis
Abstract
Using 2015–2024 panel data for 27 Yangtze River Delta cities, we estimate fixed-effects and dynamic models to identify growth drivers. Technological progress is the dominant contributor; capital investment and openness are also significant, while industrial upgrading and human capital show positive marginal returns. Non-core cities are more responsive to capital and technology. Mediation tests indicate capital fosters growth via TFP. The evidence guides investment allocation, industrial upgrading, and innovation-led strategies for coordinated, high-quality development.
References
[1] Ran Maosheng, Chen Yujun, Chen Liang. Financial deepening and regional innovation efficiency: An analysis based on cross-national panel data[J]. Journal of Chongqing University (Social Sciences Edition), 2023, 29(4):62-76. DOI:10.11835/j.issn.1008-5831.jg.2021.06.001.
[2]Xue Qing, Liu Xiangqin. Research on the factors affecting the investment behavior of real enterprises under macroeconomic uncertainty: Based on the perspective of financing premium [J]. Humanities Magazine, 2020(2):9.DOI:10.15895/j.cnki.rwzz.2020.02.031.
[3] Zhang Maocong, Xue Xiangyu. Research on the scale of higher education, urbanization and regional economic growth mechanism: Evidence based on provincial panel data [J]. Journal of Yantai University (Philosophy and Social Sciences Edition), 2024, 37(1):19-28.
[4] Zhang Shaohua and Chen Zhi. Mechanism identification and heterogeneity research on digital economy and regional economic growth [J]. Statistics and Information Forum, 2021, 36(11):14-27. DOI:10.3969/j.issn.1007-3116.2021.11.002.
[5] Liu Shengyan, Feng Jianxi. Study on the spatial pattern and influencing factors of urban shrinkage in the Yangtze River Delta based on panel data[J]. Modern Urban Studies, 2022, 37(10):47-51.DOI:10.3969/j.issn.1009-6000.2022.10.007.
[6] Du Rong, Cai Rong. The impact of agricultural productive services on rural residents' consumption and its spatial spillover effect: an empirical study based on panel data of prefecture-level cities in China from 2009 to 2018 [J]. Business Research, 2022(4):120-131.