Exploring the relationship between financial inclusion and natural resource utilization in QUAD economies

被引:12
作者
Imran M. [1 ,2 ]
Jijian Z. [1 ]
机构
[1] School of Finance and Economics, Jiangsu University, Zhenjiang
[2] Bahria University Islamabad, Bahria Business School, Islamabad
关键词
Economic development; FDI; Financial-inclusion; QUAD countries; Renewable energy utilization; Total natural resources rents;
D O I
10.1007/s11356-023-30907-9
中图分类号
学科分类号
摘要
This study delves into the intricate relationship between financial inclusion (FIC) and economic development (ED) within the context of QUAD nations, including the USA, Australia, India, and Japan. Using panel data spanning from 2000 to 2021, the research investigates this relationship by employing various statistical techniques. Initially, the Jarque-Bera (JB) normality test highlights the non-normal distribution of the data. Furthermore, the findings reveal varying slopes and cross-sectional interdependence among the variables, while the panel unit root test confirms their non-stationarity. Consequently, the adoption of the method of moment quantile regression is deemed appropriate for the analysis. The study's results uncover a negative association between FIC and total natural resource rent (TNRR), while renewable-energy usage (REU), ED, and foreign direct investment (FDI) exhibit a positive relationship with FIC. Notably, the impact of TNRR on FIC diminishes at higher quantiles, indicating a diminishing effect. Similarly, the influence of REU and ED on FIC also decreases at higher quantiles, suggesting a reduced contribution as other sectors gain prominence. Conversely, FDI positively affects FIC, with a more pronounced impact observed at higher quantiles. Policy recommendations for QUAD nations include enhancing FIC initiatives, promoting REU, fostering balanced ED, attracting FDI, and encouraging collaborative efforts among the nations. Furthermore, it is imperative for developing nations to implement widespread financial literacy programs specifically targeting vulnerable and marginalized populations, equipping individuals with essential knowledge to make informed financial decisions and gain access to formal financial services. © 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
引用
收藏
页码:122958 / 122971
页数:13
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共 150 条
  • [31] Gopalan S(2006)Estimation and inference in large heterogeneous panels with a multifactor error structure Econometrica 22 undefined-undefined
  • [32] Khalid M(2007)A simple panel unit root test in the presence of cross-section dependence J Appl Economet 142 undefined-undefined
  • [33] Hasan MM(2008)Testing slope homogeneity in large panels Journal of Econometrics 4 undefined-undefined
  • [34] Du F(2021)Do natural resources abundance and human capital development promote economic growth? A study on the resource curse hypothesis in next eleven countries Resources, Environment and Sustainability 27 undefined-undefined
  • [35] Hussain S(2021)Financial instability and consumption-based carbon emission in E-7 countries: the role of trade and economic growth Sustainable Production and Consumption 47 undefined-undefined
  • [36] Akbar M(2023)Assessing the effect of real estate market and renewable energy on environmental quality in Belgium OPEC Energy Review 10 undefined-undefined
  • [37] Gul R(2020)Sustainable finance in Japan Journal of Sustainable Finance & Investment 8 undefined-undefined
  • [38] Shahzad SJ(2016)Nexus between financial inclusion and economic growth Journal of Financial Economic Policy 83 undefined-undefined
  • [39] Naifar N(2023)How are green finance, carbon emissions, and energy resources related in Asian sub-regions? Designing a Composite Financial Inclusion Index for Measuring Financial Inclusion across Global Economies Pre and Post-Pandemic Era Using Parametric Statistical Tool 83 undefined-undefined
  • [40] Hussain S(2023)Role of financial markets and natural resource utilization in green economic recovery: evidence from selected developing economies Resour Policy 16 undefined-undefined