The paper looks at factors that influence landlords' decision to transfer their farmlands and how farmland transfer has impacted on landlords' income. The essence of farmland transfer policy is to promote efficiency in agricultural land use. Endogenous regression model was adopted for the study because of its ability to handle the transfer decisions and impact of transfer decision on outcome simultaneously. The data were obtained from selected communities in Yunnan province, China. A total of 260 landlords were randomly selected for the study. The result shows that out-migration, off-farm income, agesq, public infrastructure and skill training influence transfer decision positively. The results further show that famine experience, access to credit, education and age negatively influence farmland transfer decision. The results show that farmland transfer leads to a significant increase in landlords' income.

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Homes away from home show the behavioral patterns of people who are always on the move from one place to another. Many small size hotels in Ghana keep springing up quickly in a bid to provide home for people away from home. Yet, innovative ideas that enhance patronage and sustainability is on a decline, leading to eventual foldup. This study seeks to advance the entrepreneurial innovations of small hotels in order to sustain growth in Ghana. Successful stories about SMEs exist but are rare. A population size of 2915 entrepreneurs operating small medium hotels across the country were zoned into three, and schematic random sampling method was used in selecting the hotels. A scale of 100% hospitality industry attitudinal variables such as Service Innovations, Process Innovations, Management Innovations and Marketing Innovations were used. Responses from small hotel managers/owners indicate that there is a strong correlation between innovative activities and patronage. We therefore, recommend small hospitalities' managers to develop their innovative abilities as a reliable path to the survival and growth of their businesses in a highly perishable and competitive business environment.

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Using a panel data of BRICS economies, this study looks at how formal institutions have influenced various types of entrepreneurship. The study concentrated mainly on the following formal institutional factors: fiscal freedom, business freedom, property rights, financial freedom, labour freedom, and investment freedom. For the opportunity entrepreneurship, the result is not statistically significant. With the exception of business freedom, the remaining institutional factors have negative relationship with opportunity entrepreneurship. Fiscal freedom and business freedom show negative significant relationship with necessity entrepreneurship. The result also shows that business freedom has a negative significant effect on female opportunity entrepreneurship. The study further reveals that fiscal freedom, business freedom and financial freedom have a negative significant effect on men necessity entrepreneurship. Population growth has a positive effect on all categories of entrepreneurship whiles unemployment contributes negatively to all categories of entrepreneurship.

The agricultural industry employs a large workforce in Ghana and remains the primary source of food security and income. The consequences of extreme weather in this sector can be catastrophic. A consistent picture of meteorological risk and adaptation patterns can lead to useful information, which can help local farmers make informed decisions to advance their livelihoods. We modelled historical data using extreme value theory and structural equation modelling. Subsequently, we studied extreme weather variability and its relationship to composite indicators of agricultural production and the long-term trend of weather risk. Minimum and maximum annual temperatures have negligible heterogeneity in their trends, while the annual maximum rainfall is homogenous in trend. Severe rainfall affects cereals and cocoa production, resulting in reduced yields. Cereals and cocoa grow well when there is even distribution of rainfall. The return levels for the next 20–100 years are gradually increasing with the long-term prediction of extreme weather. Also, heavy rains affect cereals and cocoa production negatively. All indicators of agriculture had a positive relationship with maximum extreme weather.

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