Technical Efficiency Measures and Its Determinants for Olive Producing Farms in Tunisia: A Stochastic Frontier Analysis

Abstract: This paper investigates farm level technical efficiency of production and its determinants in a sample of 178 olive producing farms in Tunisia using a stochastic frontier production function approach applied to cross‐section data. Results indicate that technical efficiency of production in the sample of olive producing farms investigated ranges from a minimum of 58.5 per cent to a maximum of 95.5 per cent with an average technical efficiency estimate of 82 per cent. This suggests that olive producers may increase their production by as much as 18 per cent through more efficient use of production inputs. Further, the estimated coefficients in the technical inefficiency model indicate the positive effect on technical efficiency of the share of productive trees, the share of skilled labour and agricultural training. However, a negative relationship between technical efficiency and fruit trees is found.     

A pattern‐based approach to extract REA value models from business process models

Business models are economic models that describe the rationale of why organizations create and deliver value. These models focus on what organizations offer and why. Business process models capture business activities and the ways in which they are accomplished (i.e. their coordination). They explain who is involved in the activities, and how and when these activities should be performed. This paper discusses the alignment between business models and business process models. It proposes a novel systematic method for extracting a value chain (i.e. business model) expressed in the Resources, Events, Agents (REA) ontology from a business process model expressed in Business Process Model and Notation?. Our contribution is twofold: (1) from a theoretical standpoint we identified a set of structural and behavioural patterns that enable us to infer the corresponding REA value chain; (2) from a pragmatic perspective, our approach can be used to derive useful knowledge about the business process and serve as a starting point for business analysis.     

Nutrient effects in consumer demand systems: evidence from panel data

This papers aims to analyse the demand for main food groups in Spain. Apart from the traditional economic factors (prices and income), our theoretical framework incorporates the nutrient composition of food into a demand model in the form of food attributes, as a proxy to take into account the rising consumer concern about the relationship between diet and health. A CBS functional form is chosen for the empirical model, which is estimated using a complete panel data set. Ten broad categories, nine nutrients and the most relevant socio-economic variables have been considered. Finally, after employing an appropriate selection strategy, the chosen model is used to calculate expenditure, price and nutrient elasticities, as well as the main socio-demographic effects. Results indicate that the introduction of nutrient-based determinants generates elasticities that differ from those obtained when only economic factors are included, particularly in the case of price elasticities. As the nutrients effect is incorporated in the model through adjusted prices, unhealthier food groups (cereals, white meat and eggs, dairy and sugar) become more inelastic as they are associated with higher perceived prices.     

Environmental tax incentives and corporate environmental behaviour: An unintended consequence from a natural experiment in China

Using the implementation of the Environmental Protection Tax (EPT) Law in China as a natural experiment, we explore the impact of environmental tax incentives on corporate environmental engagement. Evidence shows that, after the implementation of the EPT Law, there exists a significant improvement in the environmental performance of firms located in regions with increased EPT rates. However, our results reveal an unintended consequence that this effect is more salient for nonheavy-polluting companies rather than for heavy polluters that are more targeted by the EPT Law.     

The Role of Multiple Large Shareholders in the Choice of Debt Source

This paper examines the effect of multiple large shareholders (MLS) on debt choice. Using a sample of 654 French‐listed firms over the period 1998‐2013, we find that reliance on bank debt increases with the presence and voting power of MLS. This result is robust to endogeneity concerns and to several sensitivity tests. Moreover, we find that the effect of MLS on debt choice is more pronounced when agency problems between controlling and minority shareholders are more severe. Taken together, our results suggest that MLS reduce the controlling owner's incentive to avoid bank monitoring, leading to greater reliance on bank debt.     

Non-stationarity and the import demand for virgin olive oil in the European Union

The aim of this study is to analyse the importation of virgin olive oil to European Union countries, paying special attention to the Spanish export contribution. The method used is based on the estimation of an imports demand system. The novelty of the paper lies not in the modelling approach but in the explicit consideration of the univariate characteristics of series that is included in the analysis. Since prices are non-stationary, cointegration among them has been tested. Results indicate that they are cointegrated and that homogeneity holds. As a result, relative prices are included in the imports demand system. Structural change is also considered so as to account for the entrance of both Spain and Greece into the EU during the period studied. Results demonstrate the leadership of Spain within the EU virgin olive oil market as well as the increasing competitiveness of Greek oil.     

Empirical Evidence of Productivity Growth in Tunisian Agriculture: 1961–2000

Abstract: This paper investigates the patterns of productivity growth in Tunisian agriculture during the period 1961–2000. Results indicate that output growth in Tunisian agriculture was high over the whole period of investigation. During the 1981–90 period, average output grew at an impressive rate exceeding 6 per cent. Over the whole period, capital was the most important contributor to output growth and labour was found to be the least significant contributor to economic growth. Total factor productivity contribution to output growth decreased from over 4 per cent in both the 1961–70 and 1981–90 periods to less than 3 per cent in both the 1971–80 and 1991–2000 periods. On average, productivity growth increased at an annual rate of 3.6 per cent.     

The shifting dependence dynamics between the G7 stock markets

The growing interdependence between financial markets has attracted special attention from academic researchers and finance practitioners for the purpose of optimal portfolio design and contagion analysis. This article develops a tractable regime-switching version of the copula functions to model the intermarkets linkages during turmoil and normal periods, while taking into account structural changes. More precisely, Markov regime-switching C-vine and D-vine decompositions of the Student’s t copula are proposed and applied to returns on diversified portfolios of stocks, represented by the G7 stock market indices. The empirical results show evidence of regime shifts in the dependence structure with high contagion risk during crisis periods. Moreover, both the C- and D-vines highly outperform the multivariate Student’s t copula, which suggests that the shock transmission path is as important as the dependence itself, and is better detected with a vine copula decomposition.     

Does It Pay to Invest in Japanese Women? Evidence from the MSCI Japan Empowering Women Index

Journal of Business Ethics - In Japan, income, authority, and prestige are unequally distributed between men and women, even if they share the same occupational level. These inequalities are...     

Annual report readability and stock liquidity

We examine the effect of annual report textual complexity on firms’ stock liquidity. Using techniques from computational linguistics, we predict and find that less readable filings are associated with lower stock liquidity. Our study provides evidence that difficult‐to‐read annual reports hinder investors’ ability to process and analyze information contained in corporate annual reports, reducing thereby their willingness to trade which decreases stock liquidity. Our findings are robust to a battery of sensitivity tests, including endogeneity, use of alternative estimation techniques, and use of alternative liquidity and readability proxies.