A Global Analysis of the Macroeconomic Effects of Climate Change

Adediran, Idris A.; Isah, Kazeem; Ogbonna, Ahamuefula E.; Badmus, Sheriff K.

doi:10.46557/001c.39732

Cited by 18 publications

(11 citation statements)

References 10 publications

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“…Different results were obtained by George-Anokwuru and Ekpenyong [36], who found that the relationship between public expenditure and inflation is positive and insignificant in the short run and negative and significant in the long run. Due to an analysis conducted by Adediran et al [37], we can confirm that at a global level, climate change has an inflationary effect on the global economy due to the extreme weather events that disrupt supply chain which directly increases prices of food, by its effect on the labor efficiency and effectiveness, and its increase in fuel prices and production costs. In accordance with Odongo et al [38], it is posited that not solely the extremities of extreme weather conditions exert an inflationary influence but also the fluctuations in temperature and precipitation levels.…”

Section: Literature Reviewmentioning

confidence: 82%

Analyzing EU’s Agricultural Sector and Public Spending under Climate Change

Dincă,

Netcu,

El-Naser

2023

Sustainability

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Climate change not only affects weather conditions, patterns, and the frequency and severity of extreme weather events but also changes the structure of government spending. Agriculture is an important sector of the European Union (EU). However, by 2050, the industry will most likely decrease by 16%. One-third of the EU’s budget has been spent on agricultural funding, adaptation, and climate action. The effect of climate change on agriculture is mixed and dependent on the location of the region. The southern EU is adversely affected, while the northern EU is positively affected by the changes in weather patterns. The main goal of this paper is to gain insight regarding the effect climate change has on public spending in relation to the agricultural sector of the EU, using the pooled Ordinary Least Squares (OLS) and Generalized Method of Moments (GMM) methodology. The study concludes that public spending is influenced by government expenditure and government support in agricultural research and development in the EU region. In the southern EU region, the variables impacting public spending are greenhouse gases from the agricultural sector, temperature, and GDP, while in the northern region, no variable has a significant impact on public spending proxied by agricultural subsidies. The policy recommendations include a better allocation of agricultural subsidies, reconsideration of the efficiency of Common Agricultural Policy (CAP), and a focus on expanding investment in research and development in the agricultural sector.

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Section: Literature Reviewmentioning

confidence: 82%

Analyzing EU’s Agricultural Sector and Public Spending under Climate Change

Dincă,

Netcu,

El-Naser

2023

Sustainability

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“…The techniques operate as extensions of time-series and panel Autoregressive Distributed Lag (ARDL) models; hence, they are designed for nonstationary series, whether all variables are I(1) or a mixture of I(0) and I(1). These approaches in addition to ARDL take care of other problems in the data, such as serial correlation, heteroscedasticity, and endogeneity bias (see, for example, Salisu et al 2021;Sharma 2021;Adediran and Swaray 2023;Adediran et al 2023aAdediran et al , 2023b.…”

Section: Preliminariesmentioning

confidence: 99%

Remittance and Macroeconomic Performance in Top Migrating Countries

Oyadeyi,

Adediran,

Kabir

2024

Social Sciences

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Globalization opens up economies and encourages the free movement of persons and factors of production. Diaspora investors and workers earn income in the process and make remittances to the migrating countries. We examine the impact of the remittance inflow on the macroeconomic performance of top emigrating countries, which comprise nine emerging and two advanced economies. We conduct group and individual country analyses with distinct econometric models (Feasible Quasi Generalized Least Squares and Dynamic Common Correlated Effects) using data between 1987 and 2021. The results reveal positive impact of remittance inflows on nominal GDP and nominal GDP per capita and on real GDP and real GDP per capita, although evidence on the latter is weaker. In all, the emigrating countries can benefit from diaspora remittance in terms of improved productivity and macroeconomic performance. We therefore recommend better systems to facilitate remittance receipt and policies to channel such flows more into investment activities.

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“…In the realm of biodiversity analysis, advanced data analytics methodologies are instrumental in comprehensively tracking and understanding changes within ecosystems. By leveraging large-scale datasets and employing techniques such as species distribution modeling, machine learning algorithms, and remote sensing, researchers can delve into the intricate dynamics of biodiversity [5]. These approaches facilitate the identification of species at risk, assessing the impacts of climate change on species distributions, and monitoring the consequences of habitat loss and fragmentation on local flora and fauna.…”

Section: Biodiversity Analysismentioning

confidence: 99%

Navigating the green future: The transformative role of big data in climate change and environmental sustainability

Qiu

2024

ACE

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This article explores the profound impact of big data in the realm of climate change and environmental management. It delves into various aspects such as climate modeling and predictions, the assessment of climate change impacts, the role of data in policy making, ecosystem health monitoring, and strategies for sustainable resource management. Employing case studies and specific examples, the article demonstrates how big data analytics are transforming our approach to understanding and mitigating environmental challenges. It highlights the use of advanced computational techniques in modeling climate phenomena, assessing biodiversity shifts, optimizing waste management, and enhancing agricultural practices. The article underscores the significance of integrating big data into environmental strategies to facilitate informed decision-making and develop sustainable solutions.

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A Global Analysis of the Macroeconomic Effects of Climate Change

Cited by 18 publications

References 10 publications

Analyzing EU’s Agricultural Sector and Public Spending under Climate Change

Analyzing EU’s Agricultural Sector and Public Spending under Climate Change

Remittance and Macroeconomic Performance in Top Migrating Countries

Navigating the green future: The transformative role of big data in climate change and environmental sustainability

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