Towards a sustainable food production: modelling the impacts of climate change on maize and soybean production in Ghana
Evans Brako Ntiamoah,Dongmei Katie Li,Isaac Appiah-Otoo,Martinson Ankrah Twumasi,Edmond Nyamah Yeboah +4 more
TLDR
In this paper , the authors analyzed the influence of CO2 emissions, precipitation, domestic credit, and fertilizer consumption on maize and soybean productivity in Ghana by utilizing the newly constructed dynamic simulated autoregressive distributed lag (ARDL) model for the period 1990 to 2020.Abstract:
The Ghanaian economy relies heavily on maize and soybean production. The entire maize and soybean production system is low-tech, making it extremely susceptible to environmental factors. As a result, climate change and variability have an influence on agricultural production, such as maize and soybean yields. Therefore, the study's ultimate purpose was to analyze the influence of CO2 emissions, precipitation, domestic credit, and fertilizer consumption on maize and soybean productivity in Ghana by utilizing the newly constructed dynamic simulated autoregressive distributed lag (ARDL) model for the period 1990 to 2020. The findings indicated that climate change enhances maize and soybean yields in Ghana in both the short run and long run. Also, the results from the frequency domain causality showed that climate change causes maize and soybean yield in the long-run. These outcomes were robust to the use of the ordinary least squares estimator and the impulse response technique. The findings show that crop and water management strategies, as well as information availability, should be considered in food production to improve resistance to climate change and adverse climatic circumstances. read more
Citations
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Assessing the impacts of meteorological factors on soybean production in China: What role can agricultural subsidy play?
Abbas Ali Chandio,Waqar Akram,Ghulam Raza Sargani,Martinson Ankrah Twumasi,Fayyaz Bakhsh Ahmad +4 more
TL;DR: Wang et al. as discussed by the authors investigated the impact of meteorological factors on soybean production in China using the annual data from 1978 to 2020, and employed the autoregressive distributed lag (ARDL) method and the Quantile Regression (QR) technique.
Journal ArticleDOI
Measuring the Effects of Climate Change on Wheat Production: Evidence from Northern China
TL;DR: Wang et al. as mentioned in this paper examined the long-run effects of climatic factors on wheat production in China's top three wheat-producing provinces (Hebei, Henan, and Shandong).
Journal ArticleDOI
The effects of climate change on food production in Ghana: evidence from Maki (2012) cointegration and frequency domain causality models
TL;DR: In this article , the authors investigated the effects of climate change variables on food production in Ghana from 1970 to 2019 and revealed that temperature is inimical to overall food production, maize and roots and tubers production while precipitation is good for cereal and maize production.
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Modelling the impacts of climate change on cereal crop production in East Africa: evidence from heterogeneous panel cointegration analysis
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Mitigation pathways towards climate change: Modelling the impact of climatological factors on wheat production in top six regions of China
Abbas Ali Chandio,Devi Prasad Dash,Solomon Prince Nathaniel,Ghulam Raza Sargani,Yuansheng Jiang +4 more
TL;DR: In this article , the authors investigated the long-term effect of climate change and agri-inputs on wheat production in China's top six wheat producing provinces (Hebei, Shandong, Henan, Jiangsu, Anhui, and Hubei) from 1995 to 2020.
References
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