Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
Series Vol. 62 , 28 December 2023
Open
Access | Article
Using the PESTLE Method to Analyze the Relationship Between Sustainable Development and Economic Growth: A Comparison of Chengdu, China and Sheffield, UK
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Abstract
Sustainable development and economic growth have become increasingly important issues in modern society. Since the concept of sustainable development was proposed, countries have been exploring ways to achieve sustainable development under the premise of good economic development. This article takes two friendly cities, Chengdu in China and Sheffield in the UK, as examples and uses the PESTLE analysis method to comprehensively analyze the relationship between sustainable development and economic growth, and make a comparative analysis of the two cities. Based on this, the study found that economic growth and sustainable development have a mutually reinforcing role. Economic growth is beneficial to the realization of sustainable development, and sustainable development also promotes economic growth. Sustainable development and economic growth can be achieved simultaneously in a number of ways. Therefore, it is suggested that all regions should promote coordinated development of the economy, environment, society, and other aspects to promote high-quality sustainable development in the region.
Keywords
sustainable development, economic growth, Twin Cities, PESTLE
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
- ISBN (Print)
- 978-1-83558-225-1
- ISBN (Online)
- 978-1-83558-226-8
- Published Date
- 28 December 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/62/20231311
- Copyright
- 28 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited