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The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

The purpose of this chapter is to illustrate the role of higher education establishments in Middle Eastern countries specifically Saudi Arabia. The contributions of higher education establishments are particularly significant in relation to regional and national innovation system, which have been earmarked as engine for growth of the local economy across the region. Our study has chartered the dynamic nature of higher education in the region and their networking capabilities in order to be recognized as key stakeholders of the emerging economy. The study is informed by theoretical dimensions of “open innovation” and how the framework can accommodate the dynamic nature of higher education establishments in order to provide further impetus to ambitious projects such as Vision 2030 in Saudi Arabia. Our study is limited by further empirical evidence but has implication for the region in offering new insights around the evolving conceptualization of entrepreneurial universities and national innovation system.

This chapter explores the determinants of satisfaction of the Islamic microcredit borrowers in Bangladesh. A total of 245, mostly educated and young, borrowers of rural development scheme, the largest Islamic microcredit institution (MCI) in the world, were included in a survey using a structured questionnaire. Factors were extracted using exploratory factor analysis. Multiple regression analysis was conducted to identify influential determinants of satisfaction of microcredit borrowers. Borrowers have identified the activities and interaction in the “center,” which includes weekly/monthly meetings, investment-related training, and group performance review, as the most vital factor influencing their overall satisfaction. Competence of the microcredit staffs and officials is the second important determinant. Trust plays the next important role in overall satisfaction of the borrowers with the Islamic microcredit institutions. Convenience, of applying for loan, getting an approval, and paying instalments, is the other influential determinant of the borrower’s satisfaction. The findings imply that given the competition and social need of the Islamic microcredit institutions globally, policymakers must ensure greater investment in human capital, in creating awareness about products and services of the Islamic microcredits, and in initiating a prudent change in the regulation so that Islamic microcredit can become a tool for sustainable socioeconomic development. Use of a proper marketing strategy can also help the MCIs to support the financial inclusion policy of the government. Satisfaction of the borrowers of the Islamic microcredit institutions is yet to arrive in Islamic marketing literature. The proposed borrower-centric model can help reduce poverty and the internal loan-shark problem through adequate engagement of relevant stakeholders.