Raising the bar (6)

Raising the bar (6). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in issue 12(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper addresses the question of whether ‘jobs follow people’ or ‘people follow jobs’. The second paper develops a new methodology to determine functional regions. The third paper is a major contribution to the growing literature on new modelling approaches and applications of disaster impact models. The fourth paper focuses on the costs and benefits of higher education. The fifth paper develops a two-step procedure to identify endogenously spatial regimes in the first step using geographically weighted regression, and to account for spatial dependence in the second step. Finally, the sixth paper estimates a dynamic spatial panel data model to explain house prices and to show that restricted housing supply in the city of Cambridge, UK, has some undesirable labour market effects.     

Analysis of the Service Dominant Logic network,authors, and articles

The present study analyses research conducted in Service Dominant Logic (S-D logic), providing an overview of its intellectual structure. For that purpose, a structured approach was adopted through the implementation of bibliometric methods, using co-citation analysis combined with performance analysis and an integrative science mapping approach, which considered a timeline, a graph, and a distance-based perspective. This allowed the identification of the leading authors and of six clusters of articles based on bibliographic coupling, along with the most prominent research themes clustered in five subdomains of research based on co-occurrence of terms. The networks extracted show the associations between the main articles and concepts treated by the S-D logic community, unveiling the salient challenges and prospective expansion facing its future theoretical and practical context.     

Policies to increase business tourism income: A dynamic panel data model

This article aims to identify the determinants that influence business tourism income and that may be controlled by economic agents and policy makers of destination countries. For the development of the empirical study, a dynamic panel model by the Generalized Method of Moments (GMM) was estimated using the Gretl 2016a software, and a sample of 122 countries for the period 2002–2013 (12 years) was used. The study reveals that, for the development of policies to stimulate the growth in the short and long-term of business tourism income, countries should develop measures that encourage capital investment in tourism and foreign direct investment.     

Beta-convergence and sigma-convergence in corporate governance in Europe

This paper tests for beta-convergence and sigma-convergence in the corporate governance models, using a sample of corporate governance ratings for 198 European corporations listed on the FTSE Eurofirst 300 index. A piecewise linear regression is deployed to select a model and the Poisson pseudo-maximum likelihood estimator is also applied to estimate an exponential model. It concludes that there is statistical evidence of beta- and sigma-convergence within countries and the results suggest that institutional differences between countries are statistically relevant.     

HETEROGENEITY AND THE PUBLIC SECTOR WAGE POLICY

A model with search and matching frictions and heterogeneous workers was established to evaluate a reform of the public sector wage policy in steady state. The model was calibrated to the U.K. economy based on Labour Force Survey data. A review of the pay received by all public sector workers to align the distribution of wages with the private sector reduces steady‐state unemployment by 1.4 percentage points.     

Does oil corrupt? Evidence from a natural experiment in West Africa

This paper explores the oil discovery announcements in Sao Tome and Principe (1997-1999) to assess the role of natural resources in determining corruption. For this purpose, we use a natural experiment framework which contrasts Sao Tome and Principe to Cape Verde, a control West African country sharing the same colonial past and important recent economic and political shocks. Our measurement is based on tailored household surveys we conducted in both island countries. The unique survey instrument was retrospective and used personal histories to elicit memories from the respondents. We analyze changes in perceived corruption across a wide range of public services and allocations. We find clearest increases on vote buying, education (namely in the allocation of scholarships) and customs, ranging from 31 to 40% of the subjective scale. We interpret these findings as symptoms of increased competition for core state resources.     

Foreign aid preferences and perceptions in donor countries

We present original survey data on preferences for foreign aid in 24 donor countries from 2005 to 2008. On publicly-funded foreign aid (Official Development Assistance, or ODA), we find patterns that are consistent with a standard model of democratic policy formation, in which donations are treated as a pure public good. Controlling for perceptions of current ODA, we show that individual preferences for ODA are (i) negatively correlated with relative income within a country-year; and (ii) positively correlated with inequality at the country level. We extend the analysis to explain variation in the gap between desired aid and actual ODA, arguing that lobbying by high-income special interest groups can divert resources away from the median voter’s preferred level of aid. Consistent with this, we observe that ODA is significantly lower where policymakers are more susceptible to lobbying. Finally, we present a novel test of competing “crowding out” hypotheses. Self-reported private aid donations are negatively correlated with actual ODA, and positively correlated with perceived ODA. This finding is consistent with an emerging argument in the literature, whereby ODA crowds out private aid by enabling charities to forego fundraising activities and crowds in private aid through a signaling channel.     

Counterfactual analysis of bank mergers

We introduce a counterfactual analysis of banks mergers, combining the pre-merger equilibrium setting with post-merger environmental characteristics, while accounting for endogenously propagated changes in market structure. Using this procedure we are able to estimate the effects on loan flows and interest rates that would have been observed if the pre-merger equilibrium was not altered. Results are obtained for firms, households, and banks inside and outside the merging circles separately. We find that mergers increased firms’ access to credit, but had an opposite effect on households and led to a widespread decrease in interest rates.