Energy Consumption-Poverty Reduction Nexus in Brics Nations

Tsaurai, Kunofiwa

doi:10.32479/ijeep.11075

Cited by 9 publications

(10 citation statements)

References 26 publications

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“…The empirical results reveal that energy consumption and per capita are significant and negatively associated with poverty in both short- and long-run as illustrated in the models A and B. These outcomes are similar to the findings of Hussein and Filho (2012), Kunofiwa (2021), Nkomo (2017), Ogbeide and Evelyn (2020) and Sakanko and David (2018) in the literature. Moreover, the significant and inverse relationship between income and poverty are also congruent with the previous studies (Ali and Sharif, 2020; Janjua and Kamal, 2011; Satti et al, 2015; Tombolotutu et al, 2018).…”

Section: Ardl Test Resultssupporting

confidence: 84%

“…They established that in order to maintain the positive effect of energy consumption on poverty reduction; quality infrastructure and political stability in the nation play a crucial role. On contrary, the study of Kunofiwa's (2021) found a considerable (negative) influence of energy use in combatting poverty, and it was suggested to implement such policies that assure increased energy consumption geared toward poverty reduction in Brazil, Russia, India, China, and South Africa (BRICS) nations. In light of the aforementioned discussion, we hypothesize that H1.…”

Section: Empirical Reviewmentioning

confidence: 99%

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The Moderating Role of Per Capita Income in Energy Consumption-Poverty Nexus: Empirical Evidence from Pakistan

Saddique¹,

Saleem

Ullah

et al. 2022

Journal of Asian and African Studies

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The moderating role of per capita income pertaining to poverty and energy consumption is a missing link in the literature. To this end, this study aims to explore the energy-poverty nexus in Pakistan, incorporating per capita income as a moderator. Based on the time series nature of the data, we utilize the autoregressive distributed lag (ARDL) technique for the period 1984–2018. We design two separate models, that is, poverty model-A (the primary effect model) and poverty model-B (the interaction effect model). Our findings validate the significant prevalence of the influence of per capita income, as a moderator, on the relationship between energy consumption and poverty in Pakistan. Interestingly, the nature of moderation was observed to be enhancing both in the short and in the long-run. This study provides important policy implications for mitigating poverty in Pakistan. Our empirical findings educate policy makers and academicians to consider moderating behavior of per capita income for robust energy-poverty policy making in Pakistan.

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Section: Ardl Test Resultssupporting

confidence: 84%

Section: Empirical Reviewmentioning

confidence: 99%

The Moderating Role of Per Capita Income in Energy Consumption-Poverty Nexus: Empirical Evidence from Pakistan

Saddique¹,

Saleem

Ullah

et al. 2022

Journal of Asian and African Studies

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“…Such results mean that the data for most variables do not follow a nor-mal distribution, consistent with Tsaurai (2021). Following Tsaurai (2020), this study addressed the econometrics problems (data not following a normal distribution pattern, extreme values, multi-collinearity problem) using natural logarithm data for the main data analysis. This study used Levin, Lin, and Chu (2002), Phillips-Perron-Fisher Chi-Square, Im, Pesaran, and Shin (2003), and the Augmented Dickey-Fuller-Fisher Chi-Square tests as approaches for testing the existence of stationarity.…”

Section: Pre-estimation Diagnosticsmentioning

confidence: 99%

Foreign Direct Investment Inflow Dynamics: The Case of Central and Eastern Europe

Tsaurai

2023

CER

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This study investigates the dynamics of foreign direct investment (FDI) inflows into Central and Eastern European countries (CEECs) using panel data (1994–2020) analysis methods such as fixed effects, fully modified ordinary least squares (FMOLS) and random effects. Specifically, the study examined what factors could account for the mixed pattern of FDI inflows into CEECs. The mixed results from the existing empirical literature on FDI inflow dynamics triggered the undertaking of this study to contribute to the ongoing debate on the subject. The study notes that infrastructural development, economic growth and domestic investment had a significant positive influence on FDI across all three panel data analysis methods. Other variables that were found to have had a significant positive effect on FDI include (1) complementarity between infrastructural and financial development (fixed effects, random effects), (2) trade openness (fixed effects) and (3) savings (random effects, FMOLS). A significant negative impact of the exchange rate on FDI was observed under the FMOLS. CEECs are therefore urged to implement policies to increase infrastructural development, financial development, trade openness and savings to enhance the inflow of FDI. Future studies should investigate the minimum threshold levels of the explanatory variables of FDI.

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“…The finance–poverty relationship has been examined by Tsaurai (2020) in the BRICS (Brazil, Russia, India, China, and South Africa) using the fully modified ordinary least squares (FMOLS), fixed effects, and pooled ordinary least squares (POLS) regressions for the period 1994 and 2013. The findings reveal that poverty reduction is jointly affected by foreign direct investment (FDI) and financial development.…”

Section: Literature Reviewmentioning

confidence: 99%

The effect of inequality on poverty and severity of poverty in sub‐Saharan Africa: The role of financial development institutions

Asongu,

Odhiambo

2023

Politics & Policy

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The present study investigates the incidence of financial institutions' dynamics of depth and access in the effect of income inequality on poverty and the severity of poverty in 42 sub‐Saharan African countries from 1980 to 2019. The Gini index is used to measure income inequality while poverty is measured as the poverty headcount ratio, and the severity of poverty is generated as the square of the poverty gap index. An interactive quantile regression approach is used as an empirical strategy. Income inequality unconditionally increases poverty dynamics while the financial institutions' depth and access mitigate the adverse effects of income inequality on poverty dynamics. Financial institutions' policy thresholds or minimum financial institution levels needed to completely dampen the adverse effects of income inequality on poverty dynamics are provided. The findings are contingent on existing levels of poverty, poverty measurement, and proxies for financial institutions. Policy implications are discussed.Related ArticlesAbdulai, Abdul‐Gafaru, Justice Nyigmah Bawole, and Emmanuel Kojo Sakyi. 2018. “Rethinking Persistent Poverty in Northern Ghana: The Primacy of Policy and Politics over Geography.” Politics & Policy 46(2): 233–62. https://doi.org/10.1111/polp.12250.Adegboye, Alex, Kofo Adegboye, Uwalomwa Uwuigbe, Stephen Ojeka, and Eyitemi Fasanu. 2023. “Taxation, Democracy, and Inequality in Sub‐Saharan Africa: Relevant Linkages for Sustainable Development Goals.” Politics & Policy 51(4): 696–722. https://doi.org/10.1111/polp.12547.Nchofoung, Tii, Simplice Asongu, Vanessa Tchamyou, and Ofeh Edoh. 2022. “Gender, Political Inclusion, and Democracy in Africa: Some Empirical Evidence.” Politics & Policy 51(1): 137–55. https://doi.org/10.1111/polp.12505.

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Energy Consumption-Poverty Reduction Nexus in Brics Nations

Cited by 9 publications

References 26 publications

The Moderating Role of Per Capita Income in Energy Consumption-Poverty Nexus: Empirical Evidence from Pakistan

The Moderating Role of Per Capita Income in Energy Consumption-Poverty Nexus: Empirical Evidence from Pakistan

Foreign Direct Investment Inflow Dynamics: The Case of Central and Eastern Europe

The effect of inequality on poverty and severity of poverty in sub‐Saharan Africa: The role of financial development institutions

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