Dimensions of entrepreneurial orientation and small and medium enterprise performance in emerging economies

The removal of trade barriers has encouraged the entry of new competitors into formerly protected markets. This situation creates pressure on many small and medium enterprises (SMEs) in emerging economies such as Tanzania. Using a survey method and cross-sectional research design, the research examines three dimensions of entrepreneurial orientation (EO), namely: pro-activeness, risk-taking and competitive aggressiveness. Understanding their relationships and variance may help to improve our ability to explain SME performance. The findings contribute to how SME performance in emerging economies can be enhanced to enable SMEs to face challenges posed by competitor influx in the context of an open market economy. The findings indicate a strong relationship between EO dimensions and performance, with risk-taking and competitive aggressiveness moderating the effect of pro-activeness. The proposed model could predict 72% of the variance explained in SME performance.     

Can Empirical Demand Models Assist in CON Comparative Reviews? A Case Study in Florida

Certificate‐of‐Need (CON) programs for new hospital construction are intended to foster the best selection among competing hospital applications, given demands for hospital care in the community. Yet, the merits of CON depend in part on the quality of the comparative review process. This article examines a case study in Florida to illustrate the utility of empirical evaluations using patient choice models. I estimate such models to show how patients would respond to a change in hospital choices. By simulating the welfare effects of the proposed hospitals, I can further predict how prices of hospital care differ by applicant. Results suggest that empirical analysis using data on patient choice of hospitals may better inform the review process. At the same time, however, it may not give a unique ranking without additional analysis of the fixed costs of proposed services in the context of existing marketwide capacity.     

Land Aggregation Using Contingent and Guaranteed Payments

This article explores the use of alternative payment mechanisms to overcome the holdout problem when multiple parcels of land must be acquired to complete a real‐estate development project. Purchase offers contingent upon successful land aggregation are compared to combination offers containing both guaranteed and contingent payments to determine which approach better mitigates holdout. The distribution of gains between developers and landowners is also examined. The results of a series of economic experiments suggest that contingent offers expedite land aggregation but developer payoffs are higher when combination offers are used. The results offer insight to real‐estate developers participating in land aggregation and inform government entities considering the necessity of public‐sector intervention in real‐estate markets to encourage desired development projects.     

The growing dependence of Britain on trade during the Industrial Revolution

Many previous studies of the role of trade during the British Industrial Revolution have found little or no role for trade in explaining British living standards or growth rates. We construct a three-region model of the world in which Britain trades with North America and the Rest of the World, and calibrate the model to data from the 1760s and 1850s. We find that while trade had only a small impact on British welfare in the 1760s, it had a very large impact in the 1850s. This contrast is robust to a large range of parameter perturbations. Biased technological change and population growth were key in explaining Britain's growing dependence on trade during the Industrial Revolution.     

SNAP and Paycheck Cycles

It is well documented that individuals do not spend the Supplemental Nutrition Assistance Program (SNAP) benefits smoothly over the month after receipt. Rather, recipients spend a disproportionate share of benefits at the beginning of the benefit month. This has costs for recipients and stores. There is also evidence that other income streams, such as Social Security and paychecks, are not spent smoothly. The presence of these other income streams may bias estimates of the effects of this SNAP cycle on consumption for working SNAP beneficiaries and those who receive other government benefits. We use data from United States Department of Agriculture's National Household Food Acquisition and Purchase Survey to explore how the SNAP cycle is affected by accounting for these other income streams. We find suggestive evidence that the cycle is more pronounced for workers who are paid on a weekly or monthly basis, but little evidence that cycles in other income streams mitigate or exacerbate the SNAP cycle.