Competition in taxes and performance requirements for foreign direct investment

Tax incentives offered to attract firms engaged in foreign direct investment are often tied to performance requirements such as domestic content restrictions or adherence to environmental standards. The tax competition literature has repeatedly shown that competition between municipalities for mobile firms tends to drive taxes to low levels. One would expect a comparable result for burdensome performance requirements. Despite this, the evidence suggests that while taxes have indeed been driven down, performance requirements are as popular as ever. We explain this seeming conundrum by showing that in the presence of spillovers, binding performance requirements can act as a coordination device for firms. In equilibrium, municipalities choose performance requirements, which maximize joint surplus from investment. Competition between municipalities then transfers this surplus to firms via tax subsidies.     

Governance structures in R&D networks: An analysis in the European context

This paper analyses governance structures used to organize partnerships in R&D networks using two approaches: transaction costs theory and social capital theory. We argue that these theories are complementary; this explains forms of governance through the degrees of administrative (structural and safeguard mechanism) and social factors (cohesion and openness) they embody. Data was obtained from European R&D networks created through Framework Programmes which include a great number of universities, non profit institutions and firms. Findings show the variables that characterize and explain the governance forms based on the applicability of R&D networks. This study not only provides a theoretical model for analysing governance structures of these networks, but is also useful for both improving the management of networks and for fostering collaboration at an international level.     

Combining biodiversity modeling with political and economic development scenarios for 25 EU countries

In the EURURALIS project, a chain of models was used to predict the changes in sustainable development indicators for European human well-being, ecology and economy issues, for four alternative scenarios of the future socio-economic development. This paper describes the biodiversity analysis of the project. Models based on general relationships between environmental factors and biodiversity loss were combined with socio-economic, land-use and environmental models to derive data that were integrated into an interactive tool for policy makers. The biodiversity analysis takes into account the effects of land-use change, climate change, fragmentation by major roads, area of unfragmented patches, nitrogen deposition, forestry and disturbance. Results show that biodiversity is projected to decrease between now and 2030 in most countries for all scenarios, indicating that it is unlikely that the EU will be able to fulfill its commitment to stop biodiversity loss by 2010. This is mainly due to urbanization and increase in stress factors, and outweighs the area increase of nature arising from land abandonment. Merits, limitations and uncertainties of this approach to biodiversity assessment are discussed.     

The interactions between natural and physical capitals in the tourist lifecycle model

This paper presents a model of the interactions between natural resources and physical capital in the evolution of a tourist destination. The projected trajectory of the number of tourists approaches the classical lifecycle pattern. The post-stagnation phase is analyzed within the model, obtaining different patterns which depend on the impacts of physical capital on both demand and environmental degradation. The magnitudes of these impacts are determined by the type of tourism. An empirical application to the case of the tourist industry in the Canary Islands (Spain) is presented, showing that the model can represent the general characteristics of the post-stagnation phase of a tourist destination.     

Fair ranking of teachers

Economic theory suggests that it is optimal to reward teachers depending on the relative performance of their students. We develop an econometric approach, based on stochastic frontier analysis, to construct a fair ranking that accounts for the socio-economic background of students and schools and the imprecision inherent in achievement data. Using German PIRLS (IGLU) data, we exploit the hierarchical structure of the data to estimate the efficiency of each teacher. A parsimonious set of control variables suffices to get a “fair” estimate of unobserved teacher quality. A Hausman–Taylor type estimator is the preferred estimator because teacher efficiency and some exogenous variables may be correlated.     

Financial liberalization,financial sector development and growth: Evidence from Malaysia

The objective of this paper is to examine whether financial development leads to economic growth or vice versa in the small open economy of Malaysia. Using time series data from 1960 to 2001, we conduct cointegration and causality tests to assess the finance-growth link by taking the real interest rate and financial repression into account. The empirical evidence suggests that financial liberalization, through removing the repressionist policies, has a favorable effect in stimulating financial sector development. Financial depth and economic development are positively related; but contrary to the conventional findings, our results support Robinson's view that output growth leads to higher financial depth in the long-run.     

MEASURING CONSUMER WELFARE WITH MEAN DEMANDS*

The welfare change from a price increase–for example, the compensating variation (cv)—is often calculated using the expenditure function from an estimated demand. If there is unobserved preference heterogeneity, then the estimated demand is an average over households with different preferences. And the cv from the mean demand does not generally equal the mean cv. We give conditions ensuring that the cv from the mean demand equals the mean cv, is less than the mean cv, and approximates the mean cv better than the change in consumers' surplus. A necessary condition is that demands become more dispersed as income rises.     

Specifications of Social Welfare in Economic Studies of Climate Policy: Overview of Criteria and Related Policy Insights

An important assumption in economic studies of climate policy is the social welfare function. This paper shows that applying distinct decision or social welfare criteria can result in different optimal policies of climate control, notably if climate change impacts are uncertain. First, decision criteria in current climate-economic studies are reviewed. Next, the most important alternatives are discussed, including their (mathematical) formalization and incorporation in economy-climate models. Most of these alternative criteria suggest more stringent climate policies to be optimal than the standard discounted utilitarianism approach. However, several important welfare criteria have not or hardly seen any application in the economic analysis of climate policy. We conclude that there is clear need for systematic research on this theme, for which the current review provides a solid basis.     

Complexity and the limits to learning

In this paper we look at the manner in which ideas coming from complexity science change our understanding of the cognitive powers of agents that is really necessary to explain the evolution of markets and of firms. The general ideas behind complex systems dynamics and evolution are presented and then two examples are treated in detail. The first in an evolutionary model of a market in which some new product is developed by competing firms and their “task” is to find a strategy in terms of quality and price that will be sustainable. This essentially requires agents/firms to discover mutually compatible strategies, and to create thereby sustainable market niches. The second example considers the internal structure of firms, in terms of their constituent working practices and skills. It demonstrates that it is precisely their ignorance of the consequences of adopting any particular practice that generates diversity in the emergent capabilities of firms, exploring the dimension of potential demand and therefore leading to a successful and sustainable business sector. The work supports the notion that the cognitive abilities that are involved are not about deduction and logic, as a traditional view of rationality might suggest, but are about the development and contraction of interpretive frameworks, which will be different for each player. The paper links these examples to a general recognition of the idea that complex, multi-agent systems evolve through successive “structural attractors”—multi-dimensional dynamical systems—with temporary structural stability. Because real systems contain both the structure and deviations from it, then there is a constant probing of structural stability and the possibility of qualitative change to a new structural attractor. This resembles the ideas in biological evolution related to “punctuated equilibria,” but it also links this to the idea of emergent and evolving networks of interaction, never of course near thermodynamic equilibrium.      

The Nonparametric Approach to Applied Welfare Analysis

Changes in total surplus are traditional measures of economic welfare. We propose necessary and sufficient conditions for rationalizing individual and aggregate consumer demand data with individual quasilinear and homothetic utility functions. Under these conditions, consumer surplus is a valid measure of consumer welfare. For nonmarketed goods, we propose necessary and sufficient conditions on input market data for efficient production, i.e. production at minimum cost. Under these conditions we derive a cost function for the nonmarketed good, where producer surplus is the area above the marginal cost curve. We are greatful to helpful remarks and comments of the referees and the editor. The work is partially supported by the Spanish Ministry of Science and Technology, through Grant BEC2002-2130, the Generalitat de Catlaunya, through Grant 2005SGR-00454 and the Barcelona Economics Program (CREA).