Raising the bar (4)

This editorial summarizes and comments on the papers published in issue 11(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper deals with common factors and spatial dependence in the error term specification of a production function model. The second paper sets forth a New Economic Geography (NEG) model with production activities that vary in their complexity, so as to analyse the impact on specialization patterns across different regions. The third paper measures the efficiency of local public investments using a relatively unknown econometric technique in which the time span over which the variables in the regression equation are measured is increased by one time period every run. The fourth paper adopts a conditional quantile regression approach to determine the impact of people employed in informal jobs on the wage distribution in Colombia and five of its regions. Finally, the last paper proposes and tests two new Bayesian variable selection approaches for spatial econometric models.     

Do online discounts and free gifts damage brand image of service? The moderating role of promotion-proneness

The present paper outlines a study based on an experimental design that investigated the effect of online price discounts and free gifts on consumers’ evaluation of the brand, in the context of an airline. The study also analyzed whether promotion-proneness exercises a moderating effect on this relationship. It was found that discounts generate a more positive brand image than free gifts among promotion-prone users, while for less promotion-prone individuals, the opposite is true. The results will help managers to select the most appropriate online sales promotion type for reaching different consumer groups, depending on their promotion-proneness, in line with the needs and objectives of the service firm.     

Do Institutions Matter for Foreign Direct Investment?

Using a panel of 69 countries during 1981 and 2005, we investigate the role of institutions in determining foreign direct investment (FDI). We find that institutions are a robust predictor of FDI and that the most significant institutional aspects are linked to propriety rights. Using a novel data set, we also study the impact of institutions on FDI at the sectoral level. We find that institutions do not have a significant impact on FDI in the primary sector but that institutional quality matters for FDI in manufacturing, and particularly in services.     

Workplace organization and innovation

Abstract This study uses panel data on Canadian establishments to explore the relationship between the organization of work – in particular decentralization, information‐sharing, and incentive pay schemes – and innovation. Like other studies, ours finds a clear positive link between these factors. However, the data give strong indications that this relationship is not causal. We show that: (1) the correlation between workplace organization and innovation holds for information‐sharing but is much weaker for decentralized decision‐making or incentive pay programs, (2) controls for unobserved heterogeneity significantly weaken results, and (3) lagged variables give no clear evidence that organizational changes predate innovation.     

Optimal Farm-to-Market Transportation and Storage of Certain Agriculture Commodities: Bogota,Colombia ∗

Decision rules for the make-buy decision most often assume the form of single-item, incremental cost rules which, for application, require decisions to be made for each item in isolation from all others. While it has been recognized that such decision rules may be non-optimal in situations where equipment capacity limits exist, the literature has not considered other cases where non-optimality arises. The purpose of this paper is to use linear programming as a framework for evaluating the optimality of single-item, incremental cost rules. The major conclusion of this paper is that the presence of any type of binding constraint in the planning problem, regardless of its origin, renders a single-item decision rule potentially non-optimal. A set of optimal screening decision rules is developed to be used in conjunction with a linear programming model for make-buy decisions in cases where such binding constraints exist.