EFFECT OF CLIMATE CHANGE ON SOYA BEANS (Glycine max) OUTPUT IN NIGERIA

2025-09-13T10:36:37+00:00

The study examined climate change effects on soya beans output in Nigeria. Data were collected from the Food and Agriculture Organization (FAO) and the Nigerian Meteorological Agency (NIMET) from 1981-2018. The effect of climate change was analyzed using Autoregressive Distributed Lag Bound approach, Error Correction Model and Augmented Dickey– Fuller tests for stationarity test. On the effects of climatic variables on soya beans output, the coefficient of multiple determination (R²) 0.7965, shows that about 79.65%, of the variations in soya beans output was explained by the climatic variables. F-statistics of 24.27 is significantly higher than the lower bound of 2.9 and the upper bound of 3.8 at 5% level. This indicates that there is a long run relationship between soya beans output and the climatic variables in the model. The ECM value of soya beans output is -0.126. The magnitude of the coefficient estimate of ECM suggests that 12.6% of the disequilibrium caused by previous years’ shocks converges back to the long-run equilibrium in the current year. This reveals that the speed of adjustment will adjust to the long-term equilibrium. The study recommends the need for policy makers to establish temperature monitoring systems and thresholds to preemptively address warming that could negatively impact soya beans output.

DIVERSITY AND TEAM MANAGEMENT AS PREDICTORS OF ORGANIZATIONAL EFFECTIVENESS OF AGRICULTURAL COOPERATIVE SOCIETIES IN ANAMBRA STATE

2025-10-08T09:39:26+00:00

The study determined diversity and team management as predictors of organizational effectiveness of agricultural cooperative societies in Anambra State. The study was guided by two research questions and two null hypotheses tested at 0.05 level of significance. The study employed correlational research design. The area of the study was at Anambra State. The population of the study consisted of 3397 members and the sample size was of 358 members of cooperative societies in Anambra State. One instrument was used for data collection which was validated. The reliability of the instruments was established using Cronbach Alpha with coefficient of 0.855 which aim high for the study. The mean score where used to ascertain the effectiveness of two predictors. Mean and standard deviation were employed to answer research questions. The null hypotheses where tested using regression and observed probability value (P-Value) at the set probability value of 0.05 level of significance. The study found that diversity and team management significantly predict the organizational effectiveness of agricultural cooperative societies in Anambra State which reinforces existing scholarly evidence on the benefits of workforce heterogeneity. Based on these findings, the study recommended that the Agricultural cooperative societies should implement equitable management that ensure balanced representation across gender, age, ethnicity, disability status and religious affiliation.

GPH-International Journal of Agriculture and Research

EFFECT OF CLIMATE CHANGE ON SOYA BEANS (Glycine max) OUTPUT IN NIGERIA

DIVERSITY AND TEAM MANAGEMENT AS PREDICTORS OF ORGANIZATIONAL EFFECTIVENESS OF AGRICULTURAL COOPERATIVE SOCIETIES IN ANAMBRA STATE