Factor Study: Factors Influencing GRP in Various Provinces of China

Dawei Qin

doi:10.54097/fsqv9p41

Authors

Dawei Qin

DOI:

https://doi.org/10.54097/fsqv9p41

Keywords:

GRP, Consumption Expenditure, Employment, Education, Freight Traffic

Abstract

The development speed of China is evident throughout the world. However, the development speed within each province in China varies greatly. In order to explore the variables that would have an impact on the economy of various provinces in China, this paper examines the factors impacting GRP in various provinces by using a year-fixed effect model and official data from the China National Bureau of Statistics in 2017. Results indicate that household consumption expenditure, urban employment, and freight traffic are positively correlated with GRP. The above results provide a reference basis for subsequent research and policymakers. However, the number of higher education students has a negative impact on GRP, and this result needs to be further explored in subsequent research.

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References

Hu Zhuliu and Khan, Mohsin S. Why Is China Growing So Fast? International Monetary Fund, Economic Issues, 1997, 8, 1-2.

Kerola, E. and Mojon, B. What 31 Provinces Reveal About Growth in China. Bank for International Settlements, 2021, 925, 9-22.

Viet, V.Q. Gross regional product (GRP): an introduction. Department Of Economic and Social Affairs Statistics Division United Nations, 2010, 2.

Ramos, L.M. and Mourelle E. Education and economic growth: an empirical analysis of nonlinearities. Emerald Insight, 2019, 29-33, https://www.emerald.com/insight/content/doi/10.1108/AEA-06-2019-0005/full/html#sec003.

Saviotti, P. P., and Jun, B. Diversification, structural change, and economic development. J. Evol. Econ., 2020, 30, 1301–1335. Doi: 10.1007/s00191-020-00672-w.

Matthess, M., and Kunkel, S. Structural change and digitalization in developing countries: conceptually linking the two transformations. Technol. Soc. 2020, 63, 101428. Doi: 10.1016/j.techsoc.2020.101428.

Huang Tianlei, Lardy, Nicholas R. Can China revive growth through private consumption? Peterson Institute for International Economics, 2023, https://www.piie.com/blogs/realtime-economics/can-china-revive-growth-through-private-consumption.

Shaban, A., Kourtit, K., Nijkamp, P. Causality Between Urbanization and Economic Growth: Evidence from the Indian States. Frontiers, 2022, 4, 11-12.

Mulholland E., Teter J., Cazzola P., McDonald Z., Ó Gallachóir B.P. The long haul towards decarbonising road freight – A global assessment to 2050. Applied Energy, 2018, 216: 678–693. Doi: 10.1016/j.apenergy.2018.01.058.

US Department of Transportation. Freight Transportation: Improvements and the Economy, https://ops.fhwa.dot.gov/freight/freight_analysis/improve_econ/ , last modified: October 9, 2019.

Alises, A., Vassallo, J.M., & Guzmán, A.F. Road freight transport decoupling: A comparative analysis between the United Kingdom and Spain. Transport Policy, 2014, 32, 186-193. https://doi.org/10.1016/j.tranpol.2014.01.013.

Qi Di, Ali, A., Li Tao, Chen Yuanchun, Tan Jiachao. An empirical analysis of the impact of higher education on economic growth: The case of China. Frontiers, 2022, 13, 1-9, https://doi.org/10.3389/fpsyg.2022.959026.

Grant, C. The contribution of education to economic growth. K4D Helpdesk Report. Brighton, UK: Institute of Development Studies, 2017, https://assets.publishing.service.gov.uk/media/5b9b87f340f0b67896977bae/K4D_HDR_The_Contribution_of_Education_to_Economic_Growth_Final.pdf?ssp=1&setlang=en-US&safesearch=moderate.