Big and beautiful? On non-parametrically measuring scale economies in non-convex technologies

Knowledge on the scale economies drives the incentives of regulators, governments and individual utilities to scale-up or scale-down the scale of operations. This paper considers the returns to scale (RTS) in non-convex frontier models. In particular, we evaluate RTS assumptions in a Free Disposal Hull model, which accounts for uncertainty and heterogeneity in the sample. Additionally, we provide a three-step framework to empirically analyze the existence and extent of RTS in real world applications. In a first step, the presence of scale (and scope) economies is verified. Secondly, RTS for individual observations are examined while in a third step we derive the optimal scale for a sector as a whole. The framework is applied to the Portuguese drinking water sector where we find the optimal scale to be situated around 7–10 million m³.     

Does the Gender of Top Managers and Owners Matter for Firm Exports?

How are export propensity and intensity affected by gender? Data from the World Bank's Enterprise Surveys (waves 2006–07, 2009–10) are used in a cross-country analysis to investigate whether export propensity and intensity differ according to the gender of top managers and entrepreneurs. Exporting is riskier than selling domestically and women, on average, tend to be more risk averse than men. Exporting entails costs, and women may have reduced access to finance compared to men. Most firms managed or solely owned by women are young and small and may have more difficulty obtaining credit. Women may self-select into routine sectors with lower mean productivity. Unlike most previous research, here the gender effect only takes into account firms where women have decision-making power. Accounting for the endogeneity of firm productivity, firm self-selection into exporting, and several factors influencing export propensity and intensity, the gender effect operates indirectly via some of those factors.