Local Government,Spatial Spillovers and the Absorption of EU Structural Funds

The allocation of regional policy funds varies dramatically across regions even when one controls for regional development indicators. We investigate the impact of local government performance as well as spillovers in knowledge, financial means and social relations as determinants of regional fund absorption. Government performance is derived within a Data Envelopment Analysis approach. Spillovers are investigated using a spatial Durbin model. Results show that government performance has a positive impact on fund absorption. Spillovers occur in knowledge as well as in financial means. The empirical analyses focus on Special Accession Program for Agriculture and Rural Development in Slovakia using panel data.     

Price elasticity of water allocations demand in the Goulburn–Murray Irrigation District*

Bid prices for the demand and supply of water allocations between 2001 and 2007, and average monthly prices paid for water allocations from 1997 to 2007 in the Goulburn–Murray Irrigation District are analysed to estimate price elasticities. Based on bid prices, the price elasticity of demand for water allocations appears highly elastic, with elasticities strongly influenced by the season and drought. The price elasticity of supply for water allocations is also elastic, albeit less elastic than demand. Using actual prices paid, water demand is negatively related to price and is inelastic, and appears to be most influenced by demand the previous month, drought and seasonality factors.     

The role of FDI in structural change: Evidence from Mexico

Foreign direct investment (FDI) flows to Mexico are substantial and play an important role in the Mexican economy since the mid-1990s. These investments reflect the activities of multinational firms that shape to some extent the economic landscape and sectoral structure in this host country. We illustrate that there is considerable variation in the amounts of FDI and structural change within the country and across time. Based on this, the paper's main purpose is to analyse whether there is a significant impact of FDI on structural change. We conduct an empirical analysis covering the period 2006–16. We use the fixed-effects estimator where the unit of observation is a Mexican state for which we calculate structural change from the reallocation of labour between sectors. The results suggest that (if any) there is a positive effect from FDI on growth-enhancing structural change. This effect depends critically on the lag structure of FDI. Moreover, there is some evidence that the positive effect (a) arises from FDI flows in the industry sector and (b) is present for medium and low-skilled labour reallocation.     

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Liberal Thought in Reasoning on CSR

In this article, I argue that conventional reasoning on corporate social responsibility (CSR) is based on the assumption of a liberal market economy in the context of a nation state. I build on the study of Scherer and Palazzo (Acad Manage Rev 32(4):1096–1120, 2007), developing a number of criteria to identify elements of liberal philosophy in the ongoing CSR debate. I discuss their occurrence in the CSR literature in detail and reflect on the implications, taking into account the emerging political reading of the firm. I conclude that the apolitical framework in the mainstream CSR literature has to be overcome since it does not reflect recent changes in the socio-economic conditions for economic actors in a globalizing world.     

Testing structural equation models: the impact of error variances in the data generating process

Yet another paper on fit measures? To our knowledge, very few papers discuss how fit measures are affected by error variance in the Data Generating Process (DGP). The present paper deals with this. Based upon an extensive simulation study, this paper shows that the effects of increased error variance differ significantly for various fit measures. In addition to error variance the effects depend on sample size and severity of misspecification. The findings confirm the general notion that good fit as measured by the chi-square, RMSEA and GFI etc. does not necessarily mean that the model is correctly specified and reliable. One finding is that the chi square test may give support to misspecified models in situations with a high level of error variance in the DGP, for small sample sizes. Another finding is that the chi-square test looses power also for large sample sizes when the model is negligible misspecified. Other results include incremental fit indices as NFI and RFI which prove to be more informative indicators under these circumstances. At the end of the paper we formulate some guidelines for use of different fit measures.