The Causality Relationship Between Population, Economic Growth and Capital Stock in OIC Countries and Its Policy Aspects

Mahmoudinia, Davoud; Kondelaji, Mir Hadi Hosseini; Jafari, Somayeh

doi:10.29252/jep.1.2.117

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…The established causality relationships need a more nuanced approach to understand further how the relationships between the two variables stand, as seen above. Studies from (Mahmoudinia et al, 2020) and (Jemna, 2015) confirmed this hypothesis, indicating that population and growth are causally mutual. (Jemna, 2015) aim to illustrate causality between growth and fertility by using the VAR methodology and the approach.…”

Section: Causal Route Test Results and Discussionmentioning

confidence: 78%

“…The empirical discoveries express a bidimensional causality relationship between fertility and growth and that each variable's invention has a long-term effect on the other. (Mahmoudinia et al, 2020) stated that when GDP growth and capital stock are dependent variables, panel cointegration and causality techniques indicate a long-run relationship. In the long term, population growth has a positive and statistically significant effect on growth.…”

Section: Causal Route Test Results and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Do Institutions Moderate the Energy-Growth Affiliation? Evidence from Sub Sahara Africa Countries

Appiah¹,

Bugri²,

Antwi³

2021

Preprint

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This paper aims to look into the role of institutional quality in regulating energy and growth affiliation. The countries of Sub-Saharan Africa (SSA) are studied from 1990 to 2019. CSD and SH tests were used to verify cross-sectional dependency and slope homogeneity properties. CIPS and CADF were used to investigate stationarity features. The Westerlund bootstrap cointegration test was used to analyze the long-tenure equilibrium affiliation among the variables and confirm cointegration in the extended period. To examine the long-short term performance between the variables, the CS-ARDL approach is used. To analyze the flow of causation, the study used the DH causality process. The findings reveal that energy has a negative and significant impact on growth. In both terms, industrialization and population have a negative and positive impact on growth, respectively. The DH heterogenous causality study reveals the mixed effect, i.e. one-way causal associations between growth and institutional quality, two-way causal associations between energy and population, and no causation with industrialization. Furthermore, institutional quality as a moderating variable harms growth. To achieve long-period growth, states should expand investment in renewable energy sectors, create well-resourced institutions, and plan for renewable energy development, according to this empirical research.

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Section: Causal Route Test Results and Discussionmentioning

confidence: 78%

Section: Causal Route Test Results and Discussionmentioning

confidence: 99%

Do Institutions Moderate the Energy-Growth Affiliation? Evidence from Sub Sahara Africa Countries

Appiah¹,

Bugri²,

Antwi³

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…However, according to the United Nations [ 29 ], nations like China and India have steady fertility rates and will manage labour shortages well in the future. Considering Gross Domestic Product (GDP) growth and capital stock as dependent variables, Mahmoudinia, Kondelaji [ 30 ] employed panel cointegration and causality techniques to demonstrate that there is a long-run link between the said variables. Over time, population has a favourable and statistically significant effect on economic growth.…”

Section: Literature Reviewmentioning

confidence: 99%

Economy and elderly population, complementary or contradictory: A cross-continental wavelet coherence and cross-country Granger causality study

Galappaththi

Jayathilaka²,

Rajamanthri³

et al. 2023

PLoS ONE

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The aim of this study is to explore the causal relationship between the economy and the elderly population globally as well as continent-wise. This research was designed as a continent-wide study to investigate the differences between several regions simultaneously. The economy was measured by the Gross Domestic Product (GDP) per capita growth rate while the population aged above 65 as a percentage of the total was considered the elderly population. A panel dataset published by the World Bank for a period of six decades from 1961 to 2020 covering 84 countries was used as data for the analysis. Wavelet coherence was the methodology used for the study since it was considered suitable to present causality as well as the causal direction between the two variables for different sections during the six decades. Thereafter, Granger causality was applied for a cross-country analysis to gain further insights on the causality of individual countries over the years. Findings of the study reveal that the causality and its direction have been changing over time for most continents. Negative correlations with the leading variable interchanging with time are evident for the majority of the regions. Nevertheless, results indicate that in a global perspective, elderly population predominantly leads the economic growth with a positive correlation. Research approach allows ascertaining the short-term and medium-term changes that occurred concerning the direction of the relationship throughout the stipulated period of the study, which could not be drawn by any previous study. Even though region-wise literature is available on this topic, global studies for decades have not been conducted yet.

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Exploring the Dynamics of the Elderly Population and Economic Growth: A Comparative Analysis Across Continents

Jayawardhana,

Jayathilaka,

Anuththara

et al. 2024

Soc Indic Res

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The Causality Relationship Between Population, Economic Growth and Capital Stock in OIC Countries and Its Policy Aspects

Abstract: 1. Introduction he relation between population and economic growth has been the subject of debate among economic researchers for many years. From perspective view of McNicoll (1984) and Hammer (1986), Population growth through

Cited by 6 publications

References 19 publications

Do Institutions Moderate the Energy-Growth Affiliation? Evidence from Sub Sahara Africa Countries

Do Institutions Moderate the Energy-Growth Affiliation? Evidence from Sub Sahara Africa Countries

Economy and elderly population, complementary or contradictory: A cross-continental wavelet coherence and cross-country Granger causality study

Exploring the Dynamics of the Elderly Population and Economic Growth: A Comparative Analysis Across Continents

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