Simulation and prediction of the dynamic evolution characteristics of resource- and technology-driven economic development models: a case study of the Yangtze River economic belt in China-Reference-Cited by-同舟云学术

Simulation and prediction of the dynamic evolution characteristics of resource- and technology-driven economic development models: a case study of the Yangtze River economic belt in China

Published:2023-05-25 Issue: Volume: Page:
ISSN:1387-585X
Container-title:Environment, Development and Sustainability
language:en
Short-container-title:Environ Dev Sustain

Author:

Wang Wei,Wang Haofei,Wang Xueqin

Funder

National Natural Science Foundation of China

Philosophy and Social Science Research of Jiangsu Higher Education Institutions

NUPTSF

Graduate Research and Innovation Projects of Jiangsu Province

Social Science Foundation of Jiangsu Province

University Natural Science Research Project of Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s10668-023-03372-0.pdf

Reference42 articles.

1. Adhvaryu, A., Fenske, J., Khanna, G., et al. (2021). Resources, conflict, and economic development in Africa. Journal of Development Economics, 149, 102598.

2. Alheet, A. F., & Hamdan, Y. (2020). Evaluating innovation-driven economic growth: A case of Jordan. Entrepreneurship and Sustainability Issues, 7(3), 1790.

3. Auty, R. M. (2000). How natural resources affect economic development. Development Policy Review, 18(4), 347–364.

4. Auty, R. M. (2001). The political economy of resource-driven growth. European Economic Review, 45(4–6), 839–846.

5. Baloch, M. A., Mahmood, N., & Zhang, J. W. (2019). Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. Science of the Total Environment, 678, 632–638.

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