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Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Openness and Economic Growth in Developing Countries Based on Experimental and Mathematical Statistics Analysis

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322782,
        author={Haoyu  Wang},
        title={Openness and Economic Growth in Developing Countries Based on Experimental and Mathematical Statistics Analysis},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={openness; economic growth; tariff; developing countries},
        doi={10.4108/eai.17-6-2022.2322782}
    }
    
  • Haoyu Wang
    Year: 2022
    Openness and Economic Growth in Developing Countries Based on Experimental and Mathematical Statistics Analysis
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322782
Haoyu Wang1,*
  • 1: The School of Economics Xiamen University Xiamen
*Contact email: 3285179986@qq.com

Abstract

The relationship between economic growth and the opening up of the country has always been a topic that has attracted a lot of attention. In this paper, the author uses a cross country dataset to analyze the correlation between countries’ openness and economic growth. This dataset includes 43 upper middle-income countries among developing countries. After eliminating the outlier, the author develops a simple OLS regression model and choose 5 indicators to represent openness respectively, and he also uses the growth rate of real GDP per capita to represent economic growth and controls real GDP per capita to make the model more accurate. In the end, this research finds out that the data and the results support the positive correlation between openness and economic growth.

Keywords
openness; economic growth; tariff; developing countries
Published
2022-10-13
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-6-2022.2322782
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