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Entrepreneurial education is gaining traction in Ghana. The purpose of this chapter was to assess the influences of social enterprises in promoting entrepreneurial education, using Ghanaian social enterprises as a case study. The study adopted a qualitative research approach. A multiple case study analysis examined the influences of social enterprises in Ghana. Four in-depth qualitative case studies offer insight into social enterprise practices. Sustainability, innovation, control and employment issues stand out as key effects of Ghanaian social enterprise practices. The social practice theory framework is used to draw the linkages of the structure and agency relationships. Sustainability emerges as the most dominant impact of social enterprise practice followed by innovation, control and employment. These four descriptive terms summarise the universal effects of Ghanaian social enterprises' practices. The study identifies and assesses the role of social enterprises in social entrepreneurial education in addressing social ills and environmental challenges facing Ghana. The emphasis placed on each of the identified four constructs describes the plausible roles of Ghana's social enterprises in achieving productive entrepreneurship through entrepreneurship education. The result shows the pursuit of multiple practices is a common feature of social enterprises. The limitations of the study stem from methodological approach as it is qualitative approach bias and a single country case. Likewise, the subjectivities of the samples direct the results of the study. The study draws the attention of stakeholders and policymakers to the goodwill of social entrepreneurship education in Ghana. Many studies have been conducted on entrepreneurial education in the contextual setting of this study. This present study focused on the practices of social enterprises in Ghana that influences entrepreneurial education.

The agricultural extension system in Indonesia has experienced its ups and downs in line with the sociopolitical dynamics of the country. This study examines the impact of access to agricultural extension on the adoption of technology and farm income of smallholder farmers in Banten, Indonesia.

This study uses a quasi-experimental research design to estimate the impact outcomes at the farm level, with methods that form part of the counterfactual framework.

Estimation results show that farming experience, off-farm income, irrigation, group membership, mobile phones and livestock ownership significantly affect extension access. The results of this main study show the important role of extension access to technology adoption and agricultural income. These studies found consistently positive and statistically significant effects of access to extension services on technology adoption and farm income.

The consistent positive and significant effect of extension access implies that public investment by the government in agricultural extension can optimize the potential impact on technology adoption and agricultural income, which also affects the distribution of the welfare of rural smallholder farmers.

Agricultural extension as a key to increasing technology adoption. However, the impact of access to agricultural extension in Indonesia has received less attention in terms of adoption and farm income.

This study examines the impact of access to credit on the technical efficiency (TE) of maize-producing smallholder farmers in Ethiopia and explores factors determining credit utilization.

The study relies on nationally representative data collected in 2015/2016. The data are analyzed by combining the Propensity Score Matching technique with a stochastic frontier model that corrects selectivity bias arising from unobserved variables.

The result shows that credit service improves TE and helps smallholder farmers to achieve the maximum possible output level from a given set of inputs used.

To the best of author’s knowledge, no study has yet measured the impact of access to credit on TE by controlling for both observed and unobserved heterogeneities. Existing research relied on a single production frontier model, assuming that credit users and non-users have similar production characteristics or ignored selection bias due to observable and unobservable characteristics.