Xinjian Zhou
Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming, 650500, Yunnan, China.
School of Mathematics and Statistics, Xinyang Normal University, Xinyang 464000, Henan, China.
Heliyon. 2024 Apr 25;10(9):e30146. doi: 10.1016/j.heliyon.2024.e30146. eCollection 2024 May 15.
This study investigates the cointegration and causal relationship between energy consumption and economic growth using data from 16 Asian and Pacific countries from 1970 to 2010. The expanded production function is used in this investigation; this function considers not only labor but also financial resources. This study investigates whether or not a rise in energy demand is associated with a healthy economy. Human capital, in addition to material and labor resources, is taken into account by this operation. One of the first studies to adopt a multivariate method and add human capital was undertaken on the energy-growth nexus. Using the panel unit root and cointegration tests, this study confirms the existence of a long-run cointegrating connection between these variables. These studies recognize the presence of cross-sectional interdependence, according to specific reports. The significance of considering the interconnection of various countries is confirmed by comparing estimates from panel heterogeneous fully modified ordinary least squares (FMOLS) models with those from unceasingly efficient and fully modified models. Nonetheless, the bootstrap panel Granger causality test findings demonstrate that economic growth is a causal factor in rising energy consumption in the region, indicating that the relationship is not constant across countries.
本研究利用1970年至2010年16个亚太国家的数据，调查了能源消耗与经济增长之间的协整关系和因果关系。本调查采用了扩展生产函数；该函数不仅考虑劳动力，还考虑金融资源。本研究调查了能源需求的增长是否与健康的经济相关。除物质和劳动力资源外，人力资本也被纳入此次分析。这是最早采用多变量方法并纳入人力资本来研究能源-增长关系的研究之一。通过面板单位根检验和协整检验，本研究证实了这些变量之间存在长期协整关系。根据具体报告，这些研究认识到存在横截面相互依存关系。通过比较面板异质完全修正普通最小二乘法（FMOLS）模型与不断高效且完全修正模型的估计结果，证实了考虑各国相互联系的重要性。尽管如此，自助面板格兰杰因果检验结果表明，经济增长是该地区能源消耗增加的一个因果因素，这表明各国之间的关系并非一成不变。
