Farmland for tomorrow in densely populated areas

The paper describes the results of a research that aimed to come up with a well structured method to estimate future farmland requirements in densely populated areas. By using in depth interviews, scenario analysis and strategic orientation rounds, a method is developed to support policy optimization and to explore alternative future developments. The method is applied to the case of agriculture in the Flemish part of Belgium to show the feasibility of the model and to provide input for the discussion among policy makers in Flanders. The research results can be used by policy makers to build a new Spatial Plan Flanders for the period 2007–2013.     

Farms’ technical inefficiencies in the presence of government programs*

We focus on determining the impacts of government programs on farms’ technical inefficiency levels. We use Kumbhakar's stochastic frontier model that accounts for both production risks and risk preferences. Our theoretical framework shows that decoupled government transfers are likely to increase (decrease) DARA (IARA) farmers’ production inefficiencies if variable inputs are risk decreasing. However, the impacts of decoupled payments cannot be anticipated if variable inputs are risk increasing. We use farm‐level data collected in Kansas to illustrate the model.     

Within-group heterogeneity and group dynamics: analyzing exit of microcredit groups in Angola

The effect of within-group heterogeneity on the survival of social groups is theoretically ambiguous. A greater diversity of ideas, experience, and networks can have a positive effect on members’ benefits from group membership, but diversity also creates a potential for conflict. This paper analyzes the relation between heterogeneity and exit of microcredit groups, using data from Angola. The results suggest that the form of group heterogeneity matters. Fragmentation in terms of social identities, or more specifically religious-linguistic fractionalization, is associated with a greater probability of group exit. Within-group economic inequality, however, is associated with a decrease in the probability of exit, but at a diminishing rate.     

Evolving splines and seasonal unit roots in weekly agricultural prices

The univariate statistical properties of agricultural price series need to be examined as a first step in the analysis of price transmission mechanisms. However, in the case of weekly price series, increasingly available, the testing procedures usually applied in this step are not suitable to deal with evolving seasonal effects. In this study, a method of testing for seasonal unit roots in weekly series of agricultural prices is described. When the deterministic seasonal component does not remain constant over time, the restricted evolving spline model (RESM) is shown to be a useful parametric formulation to capture the deterministic seasonal pattern. Therefore, the RESM model should be included as a deterministic component in auxiliary regression for unit root tests at seasonal frequencies. This proposal is applied to three weekly series of Canary Islands banana prices. From the standard seasonal unit root tests, the null hypothesis is failed to be rejected at the 5% or 10% significance level at some seasonal frequencies for each one of the series. Once critical values are obtained by simulation exercises when the RESM model is included, the hypotheses of unit root are rejected at each one of the seasonal frequencies for all of the three series.     

Spatial determinants of productivity growth on agri‐food Spanish firms: a comparison between cooperatives and investor‐owned firms

This study analyses the effect of the spatial factor, location, and interaction effects among peer companies, on the productivity growth of agri‐food companies in Spain. With this aim, we build a productivity growth index and apply a multiequational Seemingly Unrelated Regression on a sample of 344 Spanish cooperatives and investor‐owned firms for the period 2010–2012. Our findings show that agri‐food firms are influenced by spatial factors finding interesting differences between cooperatives and investor‐owned firms. With regard to the geographical location, cooperatives in the western of Spain show higher productivity growth rates, whereas investor‐owned firms in the northeast of Spain present better results. The interaction effect among closer peer companies is also a relevant factor to determine the productivity growth in agri‐food companies. This factor is more relevant for cooperatives than for investor‐owned firms.     

Three decades of productivity change in French beef production: a Färe‐Primont index decomposition

The Färe‐Primont index is used to evaluate total factor productivity (TFP) change and its components for a sample of French suckler cow farms in grassland areas in 1985–2014. The results reveal an increase in TFP of 6.6 per cent over the whole observation period, with technological progress being the major source of productivity growth. Meanwhile, efficiency decreased. Farms experienced great technological progress from 1991 to 2000. From a methodological point of view, the comparison with results obtained with Malmquist indexes shows similar trends but different magnitudes, with the Malmquist index overestimating the TFP and technological changes compared to the Färe‐Primont index. In addition, the use of a sequential approach that restricts technological change to being positive or null allows for the precise calculation of technology changes, disregarding the effects of external conditions that are captured in efficiency changes. Finally, the estimation of full dimensional efficient facets (FDEFs) that guarantees the positivity of all shadow prices used to assess the mix efficiency component of TFP change is promising.     

Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3

Financial institutions are struggling with larger volume, more specific and greater frequency of regulatory reporting after the global financial crisis in 2008, especially those that need to report to multiple jurisdictions. To help to improve reporting efficiency, this paper aims to assess the existence of similarities between templates related to credit and counter party credit risk of COREP and Pillar 3 regulatory reporting frameworks by applying Correspondence Analysis and Association Rules Mining. Our results suggest a high degree of overlap between these reporting frameworks, more prominently the three business functions as Front office, Finance and Risk. These patterns can be used as guidance for financial institutions to reshape their reporting architecture.     

Institutional theory and global entrepreneurship: exploring differences between factor- versus innovation-driven countries

Using the lenses of institutional theory, this study examines several Entrepreneurial Factor Conditions (National Experts Survey database) while focusing on potential differences of several institutional dimensions between factor- (or production) and innovation-driven countries. This study therefore examines first the extent to which several Scott’s institutional variables (normative, regulative, and cultural-cognitive) differ according to the economic structure of countries participating in NES-GEM. Results indicate that the relevance of both regulative and cultural-cognitive dimensions differ between the group of countries driven by factor (or production) versus innovation, with a single exception, the normative dimension. Second, the study fine tunes the analysis and examines the extent to which the relevance of the aforementioned dimensions differs in two distinct institutional contexts (Portugal and Angola). Results show that the relevance of all institutional variables is different except one, the basic education and training. A possible explanation for these results may be associated to the lack of and fragility of several institutions and the absence of norms and regulations needed for a well-functioning economy, particularly in what concerns the factor (or production)-driven countries. In terms of originality, the study addresses an area of the GEM model that is under-researched.     

Interorganizational Trust and Technology Complexity: Evidence for New Technology‐Based Firms

Integrating the transaction cost economics and relational perspectives, this paper puts forward that technology complexity within new technology‐based firms negatively influences the level of interorganizational trust in key partner relationships. Using a data set of 105 key partner relationships of 59 new technology‐based firms, we find that the new technology‐based firm's level of trust in its key partners is lower when the level of technology complexity is high. Findings further show that both relationship and partner characteristics moderate the technology complexity—trust relationship. These results show that technology complexity as an appropriability mechanism becomes endogenous to collaboration, thereby extending the Teece framework.