The Effect of Agroclimatic Factors on Cash Crops Production in Nigeria.

Abstract

This study examined the effects of agroclimatic factors on the yield of cash crops in Nigeria and other variables such as producer prices, exchange rate and level of national income (GDP). The effects of total rainfall, mean temperature, sunshine hour, relative humidity, radiation, exchange rate and GDP on the yields of three cash crops (Cocoa, Palm Kernel and Palm Oil) were estimated for the period 1970-2003 in Nigeria. The methods of analysis employed in the study were mainly error-correction model (ECM) within the context of co-integration theory. The results showed that all the variables are not stationary at their levels and thus, a need for differencing once to attain stationary. Statistical significance of the error-correction terms for the three produce validates the existence of an equilibrium relationship among the variables in each of these cointegrating vectors. However, producer price, temperature and GDP were the most significant factors influencing the yield of cocoa while only exchange rate was the most significant factors for the palm produce.

A Stepwise Approach of Factors Affecting Agricultural Production in Nigeria

“…The study revealed that the variances of parameters of the frontier production function were statistically significant at 1 percent level of significance. The study also revealed that there was positive relationship between farm size, seed, fertilizer, hired labour, family labour and herbicides [16].…”

Climate Variability Effect on Food Crop Yield among the Smallholder Farmers in Lower Offin River Basin, Ghana

“…Previous study in Ghana (Amikuzuno and Donkoh, 2012) indicated that variability in rainfall leads to fluctuations in maize yields. Studies in Nigeria (Akinseye et al, 2013;Akintunde, 2013)Kenya (Omoyo et al, 2013) and Pakistan (Ali et al, 2017) similarly indicated that rainfall variability caused severe effect on maize yield. Rice had R 2 value of 0.704, showing 70 % variation in rice yield was associated with climate variability.…”

Projected Food-grain Production and Yield in India: An Evidence from Statewise Panel Data Investigation during 1977-2014

“…Therefore, following process is followed to select an appropriate form of empirical model. The existence of panel root in each variable is tested trough Im-Pesaran-Shin test (Akintunde et al, 2013;Amin et al, 2015;Jyoti and Singh, 2020). Statistical results based on this test show that all data series are found stationary.…”

“…Large segments of society are engaged in agriculture sector for their livelihood in larger agrarian economies. Thus, employment and income of the farmers decrease due to decline in agricultural production (Akintunde et al, 2013;Kumar et al, 2016). Climate change, therefore, has a negative impact on livelihood security of the farming community (Jyoti and Singh, 2020).…”