College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, People's Republic of China.
Postdoctoral Station of Management Science and Engineering, College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211100, People's Republic of China.
Environ Sci Pollut Res Int. 2021 Apr;28(14):17865-17877. doi: 10.1007/s11356-020-11943-1. Epub 2021 Jan 5.
This study explores the relationship between remittances received, education expenditure, energy use, income, poverty, and economic growth for a panel of the nine selected remittance-receiving countries (Bangladesh, China, Egypt, India, Indonesia, Mexico, Nigeria, Pakistan, and Philippines). World Development Indicator database is used for retrieving data from the period of 1990 to 2014. Panel cointegration technique is used to test the long-run relationship among studied variables. Furthermore, the autoregressive distributive lag (ARDL) model is applied to confirm the presence of a long-run and short-run relationship. The findings of the ARDL model indicate that remittances received positively influence economic growth, and there is a significant relationship between remittances received and economic growth during the long-run. Education expenditure, energy use, and income also positively and significantly impact economic growth during the long-run. In contrast, final household consumption used in this study as a proxy of poverty showed a significant negative effect on economic growth during the long-run, which indicates that increasing poverty will reduce economic growth; on the other hand, reducing poverty will boost economic growth in the selected countries during the long-run.
本研究考察了汇款接收国(孟加拉国、中国、埃及、印度、印度尼西亚、墨西哥、尼日利亚、巴基斯坦和菲律宾)面板中的汇款、教育支出、能源使用、收入、贫困和经济增长之间的关系。使用世界发展指标数据库检索 1990 年至 2014 年期间的数据。面板协整技术用于检验研究变量之间的长期关系。此外,还应用自回归分布滞后(ARDL)模型来确认长期和短期关系的存在。ARDL 模型的结果表明,收到的汇款对经济增长有积极影响,在长期内,收到的汇款与经济增长之间存在显著关系。教育支出、能源使用和收入也在长期内对经济增长产生积极而显著的影响。相比之下,本研究中用作贫困指标的最终家庭消费在长期内对经济增长产生显著的负面影响,这表明贫困的增加将降低经济增长;另一方面,减少贫困将在长期内促进选定国家的经济增长。