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1.
Heliyon ; 10(1): e23470, 2024 Jan 15.
Artículo en Inglés | MEDLINE | ID: mdl-38234890

RESUMEN

Evidence of climate change is widespread and severe across all parts of the world. This poses a threat to humanity, and the entire environment. Appropriate policies are therefore required to help reduce greenhouse gas emission levels, limit the rate of global warming and its impact on climate change while pursuing national growth targets. This study employs the Tapio decoupling method to analyse the decoupling relationship (DR) between economic growth and carbon dioxide (CO2) emissions from 1998 to 2018. We also apply the Logarithmic Mean Divisia Index (LMDI) decomposition method on an extended Kaya identity to analyse CO2 emissions drivers in 145 countries. Last, the study examined the relative impacts of trade intensity and trade efficiency on the DR between economic growth and CO2 emissions. The results revealed that regions with relatively many developing and emerging countries (i.e., SSA, EAP, LAC, MENA, and SA) generally performed Weak Decoupling (WD), Expansive Negative Decoupling (END) and Expansive Coupling (EC), and the decoupling process was largely unstable. The ECA and NA regions on the other hand, which are typically composed of developed economies performed stable WD and Strong Decoupling (SD) statuses throughout the study period. The evidence further revealed that while trade intensity, activity, population, output per carbon emission and Carbon Intensity (CI) effects promote CO2 emissions, trade efficiency and energy intensity (EI) hinder emissions. We recommend that developing countries should enforce laws and cooperate with the developed economies to gain access to green technology to promote environmental sustainability.

2.
J Soc Econ Dev ; 25(1): 196-231, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-36254236

RESUMEN

Although microfinance is usually delivered with a spatial outlook, the literature is so far silent on the potential spatial effect of microfinance delivery. The aim of this study was, therefore, to examine the effect of microfinance intensity on spatial inequality and poverty in Ghana. Using the 6th (2012/2013) and 7th (2016/2017) rounds of data from a national survey on living standards in Ghana, the study first examined the pattern of district-level poverty and inequality in Ghana and then adopted spatial econometric techniques to explore the spatial correlation between microfinance, inequality, and poverty. The results revealed that microfinance has a significant negative impact on spatial inequality and poverty in Ghana. The spatial effect of microfinance intensity on poverty and inequality is characterized by both direct and spillover effects on neighbours. It was identified that the outreach of microfinance drives within-district disparity, whereas the disparity in microfinance credit distribution powers between-district disparity. Additionally, while there is evidence of an indirect effect, the indirect effect diffuses monotonically as the number of neighbours increases. The study's findings advocate for a complementary approach to microfinance delivery, as well as the elimination of institutional barriers that limit access, availability, and operational delivery of microfinance services in order to achieve spatially optimal microfinance delivery. Supplementary Information: The online version contains supplementary material available at 10.1007/s40847-022-00210-3.

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