Research methods on the role of financial inclusion, energy efficiency and energy R&D: Evidence from G7 economies

被引:1
|
作者
Meng, Guo [1 ,2 ]
Fan, Wei [1 ]
Huang, Xiaomin [3 ]
He, Jiaozi [4 ]
机构
[1] Sichuan Univ, Business Sch, Chengdu, Peoples R China
[2] ICBC Yunnan Branch, Private Bank Ctr, Kunming, Yunnan, Peoples R China
[3] Kunming Univ Sci & Technol, Sch Architecture & Engn, Kunming, Yunnan, Peoples R China
[4] Citigrp Global Markets Asia Ltd, Investment Banking, Hong Kong, Peoples R China
关键词
Energy efficiency; financial inclusion; Energy R&D; political risk index; quantile regression; CONSUMPTION; BENEFITS; GROWTH;
D O I
10.1080/1331677X.2022.2106508
中图分类号
F [经济];
学科分类号
02 ;
摘要
Countries around the globe are rapidly targeting energy efficiency goal achievement due to the unproductive and inefficient use of traditional energy sources. Several factors are discovered that are critical for energy efficiency in the region. Still, there are many economic, financial, energy, and research and development factors that could influence energy efficiency and remained ignored in the scholarly research, which is important from economic growth as well as environmental sustainability perspective. This research contributes to the existing literature by providing novel factors affecting energy efficiency in the developed nations. Specifically, the current study investigates the influence of financial inclusion, energy R&D, political-economic-financial risk index, and the energy-related inflation on the energy efficiency of G7 economies covering the period from 2004 to 2020. This study employed the slope heterogeneity and cross-section dependence test, which led to using the second-generation unit root test. For empirical estimations, the current study utilizes the panel Quantile regression, and the outcomes reveal that all the considered variables positively influence the energy efficiency in the region. However, the influence of these variables increases except for the energy-related inflation when moving from lower quantile Q(0.25) to medium Q(0.50) to higher quantile Q(0.75), respectively. The estimated results are found robust, confirmed by the FMOLS estimator. Based on the empirical findings, it is recommended that financial inclusion and energy-related research and development be enhanced to achieve the region's energy efficiency.
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页码:3240 / 3260
页数:21
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