Modelling the impacts of climate change on cereal crop production in East Africa: evidence from heterogeneous panel cointegration analysis.

Climate change has become an issue of concern for sustainable agriculture production. East African nations are heavily reliant on the agriculture sector, which accounts for a substantial amount of their gross domestic product (GDP) and employment. Due to climatic fluctuations, the output of the sector became very unpredictable.

The relationship between environmental degradation, agricultural crops, and livestock production in Somalia.

Climate change is an imminent threat to both developing and developed countries. Various determinants of climate change have been discovered in the literature including, inter alia, the agriculture sector. To this end, this study models the role of agricultural crops - maize, sesame, sorghum, and wheat productions - and livestock production in environmental degradation in Somalia for the period of 1985 to 2017.

Examining the effects of climate change and political instability on maize production in Somalia.

Agricultural production is sensitive to climate variability, so climate change-agriculture sector nexus is topical in developing countries. To this end, this study examines the impact of climate change variables-rainfall and temperature-and non-climatic factors on maize production in Somalia for the period between 1980 and 2018 using the autoregressive distributed lag (ARDL) bound test, dynamic ordinary least square (DOLS), variance decomposition(VD), and impulse response function (IRF). The empirical results of the ARDL bound test confirmed the presence of long-run cointegration between the dependent variable and the explanatory variables.

Asymmetric impact of energy utilization and economic development on environmental degradation in Somalia.

While there are enormous studies on climate change in stable countries, climate policy perspectives from conflict-prone regions including Somalia are limited. It is noteworthy that environmental degradation is an alarming issue that fuels the vulnerability of Somalia to climate change. To this end, this study investigates the asymmetric impact of energy and economic growth on environmental degradation in Somalia-by employing nonlinear autoregressive distributed lag model (NARDL) and causal techniques from 1985 to 2017.

Climate change and crop production nexus in Somalia: an empirical evidence from ARDL technique.

The purpose of this research examination is to ascertain the effect of climate change, measured rainfall, temperature, and CO, on crop production by using data spanning from 1985 to 2016 in Somalia. ARDL bounds testing approach and Granger causality were employed to model the long-run and short-run cointegrations and the causality directions respectively of the scrutinized variables. The empirical results of the study found a long cointegration between the variables.