Building a better literature review: Looking at the nomological network of the country‐of‐origin effect

Due to a rising pace of knowledge production, reviewing extant knowledge on mature topics has become increasingly challenging. Researchers often need to account for hundreds of references with little guidance on how to proceed. Taking the phenomenon of the country‐of‐origin effect (COE) as an example, this paper proposes a solution to tackle this challenge. By adopting the principles of integrative literature reviews and using online databases, bibliography management software, and literature‐mapping techniques, I organize 355 papers about the COE. As a result, the nomological network of the COE is drawn while establishing links between the phenomenon, its antecedents, and its outcomes. This methodological article contributes to building better literature reviews. Copyright © 2015 ASAC. Published by John Wiley & Sons, Ltd.     

The impact of science and technology parks on firms’ product innovation: empirical evidence from Spain

Science and Technology Parks (STP) have attracted considerable attention and public funds in recent years. However, the conclusions on their effectiveness remain mixed. This work evaluates the impact of STP on firm product innovation in the Spanish context, as an example of a less developed innovation system in which regional and national governments are prioritizing STP initiatives. This work draws on a large sample of firms provided by the Spanish Survey on Technological Innovation that is conducted annually by the National Statistical Institute. We explore alternative econometric methods to obtain average treatment effects for firms located in 22 Spanish STPs. Our results show that Spanish STPs have a strong and positive impact on the probability and amount of product innovation achieved by STP located firms. These results hold when the endogeneity of STP location is taken into account.     

Political Economy of Agricultural Reform in Japan under Abe's Administration

As a symbol of regulations as “solid as bedrock,” Japanese agriculture is a key target for structural reform under the Abe administration's “Abenomics” growth strategy. Its reform proposals have encompassed long‐standing rice production regulations, agricultural organizations, including the agricultural cooperatives (JA), and the controlled system of milk distribution. The government also seeks to promote agricultural exports and farmers’ participation in processing and distributing agricultural products. Led by the Prime Minister's Office, and taking advantage of changes in the political environment of agriculture that have weakened the political power of farmers and JA, the government has launched a reform offensive with variable impact: progress has been made in some areas (e.g. JA reform) but little change in others (such as rice production adjustment). The most significant challenge lies ahead in reforming the farmland system, which is yet to be tackled.     

The impact of population on CO<Subscript>2</Subscript> emissions: evidence from European countries

This paper analyses the impact of population growth on CO₂ emissions in European Union countries. Traditionally, researchers have assumed a unitary elasticity of emissions with respect to population growth. In this study population is treated as a predictor in the model, instead of being included as part of the dependent variable (per capita emissions), thus relaxing the above-mentioned assumption of unitary elasticity. We also contribute to the existing literature by taking into account the presence of heterogeneity in the sample and considering a dynamic specification. The sample covers the period 1975–1999 for the current European Union members. Our results show that the impact of population growth on emissions is more than proportional for recent accession countries whereas for old EU members, the elasticity is lower than unity and non significant when the properties of the time series and the dynamics are correctly specified. The different impact of population change on CO₂ emissions for the current EU members should therefore be taken into account in future discussions of climate change policies within the EU.      

A comparison of empirical models used to infer the willingness to pay in contingent valuation

The essence of the contingent valuation method consists of creating a hypothetical market where respondents are asked about their willingness to pay (WTP) for a non-market good. Different empirical models can be formulated to estimate the expected WTP of a sample of respondents and, then, through aggregation, the social valuation of the good is inferred.This paper outlines the relevance of the distributional assumptions when estimating mean WTP. Several parametric and non-parametric methods are discussed and applied to calculate the existence value of a natural space. Results show that WTP is extremely sensitive to the empirical model used.First version received: November 2002 / Final version received: January 2004     

The measurement of technical efficiency: a neural network approach

The main purpose of this paper is to provide an introduction to artificial neural networks (ANNs) and to review their applications in efficiency analysis. Finally, a comparison of efficiency techniques in a non-linear production function is carried out. The results suggest that ANNs are a promising alternative to traditional approaches, econometric models and non-parametric methods such as data envelopment analysis, to fit production functions and measure efficiency under non-linear contexts.