Biocapacity convergence clubs in Latin America: an analysis of their determining factors using quantile regressions

Alvarado, Rafael; Tillaguango, Brayan; Cuesta, Lizeth; Pinzón, Stefania; Alvarado-Lopez, María Raquel; Işık, Cem; Dagar, Vishal

doi:10.1007/s11356-022-20567-6

Cited by 47 publications

(11 citation statements)

References 75 publications

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“…There is an association between foreign exchange reserves, the current account balance to GDP ratio, the debt to GDP ratio, the domestic private sector's share of GDP, the exchange rate, inflation, per capita GDP, and the real interest rate [17,18]. Economic growth is linked to the energy consumption of a country [19] and the CO 2 emissions from diverse sources are linked to both short-and long-term economic growth [20,21], financial development adversely impacted the environment as well [22][23][24][25]. Moreover, the natural resources of a country also influenced its financial development [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Relationships between total reserve and financial indicators of Bangladesh: Application of generalized additive model

et al. 2023

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Background The reserve of a country is a reflection of the strength of fulfilling its financial liabilities. However, during the past several years, a regular variation of the total reserve has been observed on a global scale. The reserve of Bangladesh is also influenced by several economic and financial indicators such as total debt, net foreign assets, net domestic credit, inflation GDP deflator, net exports (% of GDP), and imports of goods and services (% of GDP), as well as foreign direct investment, GNI growth, official exchange rate, personal remittances, and so on. Therefore, the authors aimed to identify the nature of the relationship and influence of economic indicators on the total reserve of Bangladesh using a suitable statistical model. Methods and materials To meet the objective of this study, the secondary data set was extracted from the World Bank’s website which is openly accessible over the period 1976 to 2020. Moreover, the model used the appropriate splines to describe the non-linearity. The performance of the model was evaluated by the Akaike information criterion (AIC), Bayesian information criterion (BIC), and adjusted R-square. Results The total reserve of Bangladesh gradually increased since 2001, and it reached its peak in 2020 which was 43172 billion US dollars. The data were first utilized to build a multiple linear regression model as a base model, but it was later found that the model has severe multicollinearity problems, with a maximum value of VIF for GNI of 499.63. Findings revealed that total debt, inflation, import, and export are showing a non-linear relationship with the total reserve in Bangladesh. Therefore, the authors applied the Generalized Additive Model (GAM) model to take advantage of the nonlinear relationship between the reserve and the selected covariates. The overall response, which is linearly tied to the net foreign asset in the GAM model, will change by 14.43 USD for every unit change in the net foreign asset. It is observed that the GAM model performs better than the multiple linear regression. Conclusion A non-linear relationship is observed between the total reserve and different economic indicators of Bangladesh. The authors believed that this study will be beneficial to the government, monetary authorities also to the people of the country to better understand the economy.

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Section: Literature Reviewmentioning

confidence: 99%

Relationships between total reserve and financial indicators of Bangladesh: Application of generalized additive model

et al. 2023

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“…In addition to the gruesome effects of the COVID-19 pandemic on human lives, it has proved a catalyst for the environmental aspect. In addition, travel restrictions lead to the minimization of air pollution, water pollution, and exploitation of natural resources (Alvarado et al, 2022;Razzaq et al, 2022). Conservation of the environment and natural resources has been a major concern of the world ever.…”

Section: Review Of Literaturementioning

confidence: 99%

Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric Analysis

Ansari

Arwab

Subhan

et al. 2022

Front. Environ. Sci.

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The COVID-19 pandemic has pushed the world towards a digital era and affected the environment significantly. The present study uses a bibliometric approach to provide a comprehensive overview based on existing literature related to COVID-19 and E-learning and its environmental consequences, particularly from the year 2020–2022. In addition to the terrible impact of the pandemic on the world, environmental advantages have also been noticed. The findings show that the use of E-learning reduces the consumption of paper and prevents the cutting of trees which makes the environment more sustainable. The optimum use of technology leads to the conservation of the environment. Second, E-learning ensures developing and less developing countries to provide education at lower levels or remote areas of the society. The findings also suggest that governments and educational institutions should upgrade technology and digital tools in order to enhance E-learning education. Additionally, reviewing 1807 published articles extracted from the SCOPUS database, enrich literature related to COVID-19, E-learning, and the environment. This study also represents a graphical visualization of the bibliometric analysis using VOSviewer and R studio software. A coupling map and three-field plot also have been used for directions for future research.

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“…According to the EKC hypothesis, a rise in real GDP per capita initially leads to an increase in CO 2 emissions in the first stages of economic growth due to the consumption of fossil fuels. Eventually, this leads to a decrease in CO 2 emissions after a certain turning point due to the adoption of eco-friendly technologies, policies, and cleaner energy demand (Dinda 2004 ; Soytas and Sari 2009 ; Aslan et al 2018 ; Destek and Sarkodie, 2019a ; Dogru et al 2019 ; Erdogan and Acaravci 2019 ; Kisswani et al 2019 ; Isik et al 2019a , b ; Destek et al, 2020a ; Destek and Sinha, 2020b ; Ongan et al 2020 ; Ongan et al 2022 , 2023 ; Ahmad et al, 2023 , 2022 , 2021a , b , c ; Alvarado et al 2021a , b , c , 2022a ; Işık et al 2020a , 2021a , b , 2022 ; Çetin et al, 2023 ; Jabeen et el., 2023 ). Therefore, the critical question is how countries can reach this turning point with a lower real GDP per capita and earlier.…”

Section: Introductionmentioning

confidence: 99%

“…As studies have provided solid evidence for the positive relationship between fossil energy consumption and environmental degradation, the focus has shifted toward renewable energy consumption. Therefore, recent studies have examined the nexus between renewable energy consumption, economic growth, and CO 2 emissions (Amoah et al 2020 ; Ali et al 2021 ; Alsanusi et al 2022 ; Alvarado et al 2022a , 2022b , c ; Assi et al 2021 ; Avci and Sarigul 2022 ; Baig et al, 2022 ; Deng et al 2022 ; Fatima et al 2022 ; Hussain et al 2022 ; Jiang et al 2022 ; Irfan et al 2021 ; Pata and Işık, 2021 ; Kartal 2022 ; Rehman et al 2022a , b , c ; 2021a , 2021b , 2021c ; Serttas et al, 2022 ; Yasir et al 2022 ; Shahzad et al 2021 ; Dogan et al 2020 ; Dogru et al 2020 ; Işık 2013 ; Işık et al 2020a ; Ongan et al 2017 , 2018a , b ; Işık and Radulescu, 2017 ; Işık 2010 ; Bölük and Mert 2015 ; López-Menéndez et al 2014 ).…”

Section: Introductionmentioning

confidence: 99%

Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries

Işık

Simionescu

Ongan

et al. 2023

Stoch Environ Res Risk Assess

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This study aims to demonstrate the impact of renewable energy consumption (REC) on environmental degradation using the EKC hypothesis testing for the BRIC and G-7 countries. Two EKC models were created and tested, with Model 2 including REC and other independent variables such as economic freedom (EF) and economic policy uncertainty (EPU), which affect the level of renewable energy consumption and CO 2 emissions. Empirical findings indicate that the EKC hypothesis is verified faster in the REC-EF-EPU-based EKC model (Model 2) than in the EF-EPU-based EKC model (Model 1) for G-7 countries since the turning point takes place earlier in Model 2 than in Model 1 with REC. This suggests that renewable energy consumption accelerates the reduction of CO 2 emissions. Moreover, this earlier turning point results in lower environmental cleaning costs, less time vesting, and saving resources and money for G-7 countries. However, the study found no evidence supporting the EKC hypothesis for the BRIC countries.

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Biocapacity convergence clubs in Latin America: an analysis of their determining factors using quantile regressions

Cited by 47 publications

References 75 publications

Relationships between total reserve and financial indicators of Bangladesh: Application of generalized additive model

Relationships between total reserve and financial indicators of Bangladesh: Application of generalized additive model

Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric Analysis

Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries

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