2020
DOI: 10.1080/1331677x.2020.1780144
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The impact of poverty cycles on economic research: evidence from econometric analysis

Abstract: Poverty is a global problem, and fighting it is a historical task faced by humanity. The outbreak of poverty crises has a certain cyclicality, and the development of economic research may react to poverty cycles. To validate this view, we take the United States as an empirical example and establish a quantitative research architecture based on the bibliometrics and econometrics. In the first place, we conduct a bibliometric analysis of selected search terms relevant to poverty cycles. After that, the time-seri… Show more

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Cited by 26 publications
(12 citation statements)
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“…Later, the links between business cycles in the economy and economics were confirmed by Geiger and Kufenko (2016) through the VAR model and Granger causality test. By the same token, evidence from econometric analysis witnessed the impact of poverty cycles on economic research and the relationship between the literature on family firms and actual movements in economic policy and activities (Qin et al, 2020(Qin et al, , 2021.…”
Section: Introductionmentioning
confidence: 99%
“…Later, the links between business cycles in the economy and economics were confirmed by Geiger and Kufenko (2016) through the VAR model and Granger causality test. By the same token, evidence from econometric analysis witnessed the impact of poverty cycles on economic research and the relationship between the literature on family firms and actual movements in economic policy and activities (Qin et al, 2020(Qin et al, , 2021.…”
Section: Introductionmentioning
confidence: 99%
“…6. In recent years, researchers applied bibliometric analyses in their study of business cycle and crises research (Kufenko & Geiger, 2016) and of the impact of poverty cycles on economic research (Qin et al, 2020). 7.…”
Section: Discussionmentioning
confidence: 99%
“…Table 1 summarizes the selected variables and their abbreviations. This study performs a natural logarithm transformation on some variables (Qin et al, 2021a). As a fundamental operation in econometric analysis, logarithmic transformation helps eliminate heteroskedasticity and reduce data fluctuation, thus reducing within-group variance (Charfeddine and Ben Khediri, 2016;Gyedu et al, 2021).…”
Section: Datamentioning
confidence: 99%
“…Table 1 summarizes the selected variables and their abbreviations. This study performs a natural logarithm transformation on some variables (Qin et al. , 2021a).…”
Section: Datamentioning
confidence: 99%