The available literature has ignored farmers’ perceptions on the benefits and drawbacks of adopting climate-smart agriculture (CSA) in favor of focusing primarily on profitability and economic ...constraints. We use the Ethiopian Socioeconomic Survey (ESS) and the General Household Survey from 2018 and 2019 to compare Nigeria and Ethiopia, both of which have sizable rural populations to assess farmers’ climate change perception and their adaptation options in promoting CSA. We first hypothesize that farmers with high tolerance for risk and stable financial resources are more likely to adopt CSA techniques, relying on the adopter perception theory of agricultural innovations and technologies. We address potential selection bias using the Heckman selection model, and estimate our data using multinomial logistic estimator, as well as standard logistic regression for robustness checks. We find that in both Ethiopia and Nigeria, household income and plot size influence farmers’ adaptations to climate change mitigation practices. However, farmers with bigger plots who run the risk of massive production loss tend to adopt measures of coping with climate change. We show that in both Ethiopia and Nigeria, rural farmers’ adaptation decisions are heavily influenced by agricultural extension programs and community social networks. Overall, our work highlights the important role of income, farm size, and climate-related information for investing in climate-smart agricultural methods to curb food insecurity in Sub-Saharan Africa.
The most common household fuel utilized in the six geopolitical zones of Nigeria is kerosene, liquified petroleum of gas (LPG), firewood, charcoal, and electricity. These energy commodities are ...contributing to simplify people's life. They are used in satisfying energy demands such as cooking, heating, and lighting for every single home. The energy prices were collected from 2010 to 2021, and we forecasted from 2022 to 2024. There is data available from 2010–2021 about prices for some of these commodities, but they are scattered, narrow, and in some cases, there is just a general-referred value for the whole nation and only for a single year from the past. These situations have limited the development of economic studies which undertake analyses regarding consumers’ behavior. The forecasted fares for kerosene and LPG were calculated under the basis of accessible information but limited by the National Bureau of Statistics of Nigeria. The available electricity tariffs were collected from the Nigerian Electricity Regulatory Commission from the existing eleven private electricity distribution companies (DISCOS). In the case of firewood and charcoal, the costs were estimated departing from the research work of Gujba et al. 1. In the second part, we specify the way how data was obtained and its treatment for specific time periods. The statistics include the values for each fuel in the different geopolitical regions and for the most popular presentations available to the end customers. The forecasting was developed for past and future years during the under-study period of time. The information presented in the article refers to the research study: Urban and rural household energy transition in Sub-Saharan Africa: Does spatial heterogeneity reveal the direction of the transition?
We investigate the relationship between digitalization and the shadow economy in 42 African countries using unbalanced panel data from 2003 to 2016. We begin by drawing on modernization theory to ...hypothesize that digitalization efforts in African economies represent an augmentation of public service delivery as well as a channel through which the size of the continent's informal economic activity might be reduced. We employ the fixed effects estimation technique as its baseline estimator while correcting for potential endogeneity concerns using an instrumental variable two‐stage least squares technique. We show compelling evidence that digitalization is associated with a decrease in the size of the shadow economy in Africa. However, evidence of a larger influence is driven by the availability of telecommunications infrastructure and the expansion of government online services. These findings suggest that policymakers should invest more in digital technology to formalize Africa's hidden economic activity, particularly to fill the post‐COVID‐19 financing gap.
The relationship between financial development and economic growth has received much attention in developed countries in the last three decades. However, empirical study on how multidimensional ...levels of financial development affect the shadow economy in developing countries has received less attention. The paper's analysis begins with theoretical perspectives on the shadow economy's evolution. Using panel data from 42 African countries from 1990 to 2018, this paper addresses these research gaps by employing a battery of econometric techniques such as pooled ordinary least squares (OLS), fixed effects (FE), and system generalized method of moments (S-GMM). The results indicate that financial development is associated with a smaller size of shadow economy in Africa. On multidimensional levels, financial institutions (depth, access, and efficiency) have a negative and statistically significant impact on the shadow economy. Although financial markets are positively associated to the shadow economy, the greater impact of this is driven by financial depth and access. The findings suggest that African countries undertake credit market reforms to address financial market imperfections.
Understanding the dynamic behaviour of Sub-Saharan African households as they move along the energy ladder is essential for the energy transition in developing countries. This study applies Fixed and ...Random effect panel data models to analyse the drivers of rural and urban households' energy transition in Nigeria from 2010 to 2018. The estimation results from the panel models with robust standard errors show that rural households tend to increase their expenses on fuel sources that potentially substitute the energy source whose prices have increased. However, there is no significant relationship between the price and expenditure on different fuels in urban households. Irrespective of spatiality, we find that aside from income – education, household size, and internet access are essential drivers of household fuel choices. More importantly, we find evidence of reverse energy transition. We argue that this reverse energy transition limits the shift to cleaner fuels and increases the economic vulnerabilities of rural households. Our analysis also reveals that Nigerians’ preference for fuels is shifting to be price inelastic. We make a strong case for policies and interventions that raise household income, empower women, reduce the cost of living, and improve clean and affordable energy access to encourage energy transition.
•Analyse the drivers of rural and urban households' energy transition in Nigeria.•Irrespective of spatiality, income, education, family size are essential drivers.•We found evidence of reverse energy transition in Nigerian households.•Nigerians' preference for fuels is shifting to be price inelastic.•We make a strong case for policies and interventions for energy transition.
