This study addressed yam production in response to climate change in Cross River State using a co-integration model approach. The specific objectives of this paper are to analyze the trend in yam production, annual precipitation, and annual temperature, and to analyze the impact of climate variables on yam production. Time-series data from 1996 to 2017 was used. Based on the analysis, which constituted a linear trend analysis, co-integration test, and error correction model, the study came up with robust findings. The linear trend analysis for yam production revealed a steady increase in output between the years 2005 and 2016. The result of the rainfall trend analysis showed the presence of rainfall variability and irregularity. The trend line for temperature showed an overall downward trend for the period under study. However, the Error Correction Model result showed that temperature was statistically significant and negatively impacted yam production. The study recommends that policymakers should take appropriate steps to encourage the development of pest- and disease-tolerant yam varieties because an increase in temperature leads to the proliferation of insects, pests, and diseases.

This study was carried out to analyze the influence of the health status of women farmers on their level of cassava production. The specific objectives are to; identify the socio-economic characteristics of the rural women in the area, ascertain common health problems they encounter and their health management techniques and the influence of the rural women’s health status on level of cassava production in the area. A multi-stage random sampling technique was employed to select 200 women farmers in Ikom Local Government Area in Nigeria. Data was collected and analyzed using descriptive and inferential statistics. The study revealed that, majority of the women were in the age range of 40-50 years, 71% were married, 78% traded alongside farming, 66.5% had some form of formal education, their family sizes range between 6-10 people and with a mean family size of 6. Annual income of the farmers range between #10,000 - #14,000. The predominant practice was mixed cropping. Body pains, fever, malaria, headache, were the common ailment. While painful menstruation (20.5%) was the most common reproductive disease. Results from the regression analysis shows that the household size, educational level and income are significantly related to the health status of the rural women while age and marital status are not significantly related. Health centers, patent medicine stores, family planning, leprosy centers were readily available in the villages surveyed clinic. As health status of the women improved, productivity was therefore expected to increase. On this basis, the policy of free health facilities for women was advocated if women cassava productivity is to increase. A policy of free medical facilities including good food to the rural women will boost their health status and productivity.

This paper explores the link between the entrepreneurial intention of students in higher education and the entrepreneurial interventions an institution can provide to support them. The study uses data collected from 679 undergraduate students from Chinese and UK Universities. The instrument for data collection was a paper-based questionnaire. This study uses the integrated model of entrepreneurial intentions as the theoretical underpinning for this approach. The initial findings highlight the perceived need for a range of entrepreneurship interventions, with business training programmes being the highest priority, followed by mentoring, specialist business advice, low-cost finance, business networking events and enterprise clubs. It also shows that those with different Intention Horizons do request a different portfolio of interventions. The paper provides an evidence-based approach to entrepreneurship education design and the development of interventions to support a range of students with and without entrepreneurial intention. This work suggests a previously under-articulated relationship between the nascent entrepreneur’s Intention Horizon, university interventions, and entrepreneurial action. There are numerous calls for further contextualisation of entrepreneurship education which this paper fulfils (Baron and Shane in Psychol Entrepreneurship 19-39, 2007; Byrne et al. in Edward Elgar Publishing, 2014). It further develops the narrative around both contextualisation, the previous experience of the students and the range and importance of these interventions to support the creation of a new venture.

This paper addressed the effects of climate on the net revenue of farmers in Cross River State. The specific objectives of this paper are; to examine the level of yam production in Cross River State and, to determine the factors that affect farmers' net revenue. Data was collected from 209 farmers using a well-structured questionnaire. The analysis was done using the independent sample t-test, the Chi-square test and Ordinary Least Square (OLS) regression. The findings revealed that the mean value of the respondents on the level of profit was N88,192.13, while the maximum and minimum amount were N110,000 and N50,000, respectively. The independent sample t-test showed that education produced a statistically significant difference in means. The Chi-square test showed that educational level (p-value =0.047), age (p-value=0.034), farming experience (p-value=0.061) and access to credit (p-value=0.088) have a relationship with the net revenue of farmers. The result from the OLS regression revealed that the variables that affect the net revenue of farmers are farming experience, household size, access to the weather forecast and tenure status. This research recommends that policymakers should emphasise how to improve these factors to enhance farmers' net income to increase self-sufficiency in food crop production.