scholarly journals Vulnerability of Food Crop Farmers to Climate Change in South Eastern Nigeria

2019 ◽  
pp. 1-8 ◽  
Author(s):  
C. Chikezie ◽  
U. C. Ibekwe ◽  
D. O. Ohajianya ◽  
J. S. Orebiyi ◽  
O. B. Ibeagwa
Keyword(s):  
Climate Change ◽  
Climate Change Mitigation ◽  
Policy Formulation ◽  
Least Square ◽  
Food Crop ◽  
Ordinary Least Square ◽  
Vulnerability To Climate Change ◽  
Micro Level ◽  
Ordinary Least Square Regression ◽  
Change Mitigation

Micro-level assessment of vulnerability to climate change creates basis for policy formulation. The study specifically ascertained the levels and determinants of vulnerability to climate change among selected food crop farmers. Data collected were analysed using descriptive statistics and ordinary least square regression analysis. The result revealed that 15.95%, 68.97% and 15.08% of the households were highly vulnerable, moderately vulnerable and less vulnerable to climate change respectively. This implies a varied effect on crop farmers. The result also showed that amount saved, extension contacts, household expenditure and value of crop were significant at 1% level. The study recommended the provision of basic amenities and soft loans to farmers as well as an improvement in extension services. It also advocated the introduction of effective climate change mitigation and adaptive measures to boost agricultural output in their area.

scholarly journals Assessing Long-run Dynamics of Financial Hedging, A New Determinants of Green Financing in E7 and G7 Countries

2021 ◽  
Author(s):  
Wu Xueying ◽  
Muhammad Sadiq ◽  
Fengsheng Chien ◽  
Thanh Quang Ngo ◽  
Anh-Tuan Nguyen ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Mitigation ◽  
Least Square ◽  
G7 Countries ◽  
Ordinary Least Square ◽  
Long Run ◽  
Clean Environment ◽  
Financial Hedging ◽  
Augmented Dickey Fuller ◽  
Change Mitigation

Abstract The study estimates the long-run dynamics of a cleaner environment in promoting the gross domestic product of E7 and G7 countries. The recent study intends to estimate the climate change mitigation factor for a cleaner environment with the GDP of E7 countries and G7 countries from 2010 to 2018. For long-run estimation, second-generation panel data techniques including Augmented Dickey-Fuller (ADF), Phillip-Peron technique and fully modified ordinary least square (FMOLS) techniques are applied to draw the long-run inference. The results of study are robust with VECM technique. The outcomes of study revealed that climate change mitigation indicators affect more to the GDP of G7 countries than E7 countries. The GDP of both E7 and G7 countries is found depleting due to less clean environment. However, green financing techniques may clean the environment and reinforce the confidence of policymakers on the elevation of green economic growth in G7 and E7 countries. Furthermore, results show that a 1% rise in green financing index improves the environmental quality by 0.375% in G-7 countries, while it purifies 0.3920% environment in E7 countries. There is a need to reduce environmental pollution, shift energy generation sources towards alternative, innovative and green sources.

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