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.     

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.     

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.     

The contribution of social tourism to sustainable tourism: a case study of seasonally adjusted programmes in Spain

Recent policy from the European Union has attempted to justify social tourism initiatives on the basis that they lead to a more sustainable tourism industry. However, the majority of latest research in the field has been focused on the benefits for participants, with the addition of some evidence on the economic impacts of such programmes on destinations, which have pointed towards sustainability outcomes including: a longer tourism season, more even spread of demand, and longer periods of employment for tourism workers. Yet there is a lack of direct evidence linking such programme to these outcomes. This paper aimed to explore this important disconnect between policy assumptions and evidence-based outcomes through an analysis of the deseasonalising effects of the Spanish social tourism programme for older people. The research found that this programme does have an effect on the seasonal nature of employment and economic activity in most regions studied, but that the huge volume of demand from international tourists in the high seasons masks the quantitative effects in the regions with the highest seasonal concentration of international tourists. Recommendations for policy and practice in sustainable tourism are made that are transferable to many countries and regions that adopt social tourism programmes.     

Do global CO2 emissions from fossil-fuel consumption exhibit long memory? a fractional-integration analysis

In this article we use an autoregressive fractionally integrated moving average approach to measure the degree of fractional integration of aggregate world CO₂ emissions and its five components – coal, oil, gas, cement, and gas flaring. We find that all variables are stationary and mean reverting, but exhibit long-term memory. Our results suggest that both coal and oil combustion emissions have the weakest degree of long-range dependence, while emissions from gas and gas flaring have the strongest. With evidence of long memory, we conclude that transitory policy shocks are likely to have long-lasting effects, but not permanent effects. Accordingly, permanent effects on CO₂ emissions require a more permanent policy stance. In this context, if one were to rely only on testing for stationarity and non-stationarity, one would likely conclude in favour of non-stationarity, and therefore that even transitory policy shocks have permanent effects. Our fractional-integration analysis highlights that this is not the case.     

Self-reinforcing effects between housing prices and credit

The financial crisis has brought the interaction between housing prices and household borrowing into the limelight of the economic policy debate. This paper examines the nexus of housing prices and credit in Norway within a structural vector equilibrium correction model (SVECM) over the period 1986q2–2008q4. The results establish a two way interaction in the long-run, so that higher housing prices lead to a credit expansion, which in turn puts an upward pressure on prices. Interest rates influence housing prices indirectly through the credit channel. Furthermore, households’ expectations about the future development of their own income as well as in the Norwegian economy have a significant impact on housing price growth. Dynamic simulations show how shocks are propagated and amplified. When we augment the model to include the supply side of the housing market, these effects are dampened.     

Graph efficiency and productivity measures: an application to US agriculture

Hyperbolic measures of efficiency and productivity change with respect to a graph representation of production technology allow researchers to consider output and input dimensions simultaneously in measuring producer performance. Hyperbolic efficiency measures have been proposed, but empirical implementation has not followed, either in efficiency analysis or in productivity analysis. The objectives of this paper are to define hyperbolic performance measures on a graph representation of production technology, to motivate their use by stating some of their advantages over their radial counterparts, and to introduce a direct formulation to calculate them making use of Data Envelopment Analysis techniques. The ideas are illustrated by calculating hyperbolic efficiency and Malmquist productivity indexes for a US agricultural panel data set.     

Category management and consumer choice

This paper shows the results of an exploratory analysis of the structure of a complex product category: Wine. In complex categories, a usual strategy of consumers is the partitioning of alternatives into homogeneous subsets and the sequential eliminations of subsets until a product/brand is chosen from among few homogeneous alternatives in the last subset. To identify if there is such a kind of strategy and the product attributes involved is of great interest for the retailer. After a discussion of the different modelling alternatives of the choice process, the authors provide an application of the additive trees (ADDTREE) model to explore the hierarchical structure. The ADDTREE results provide a first overview of the competitive market structure of the wine category: competition becomes more intense as the wine category is partitioned by, first, the type of wine criteria and, second, the designation of origin (DO) criteria.