Purpose-The purpose of this paper is to understand the effect of gender diversity on firm performance and evaluate how that relationship is influenced by some firm-specific factors for firms in an emerging market. Design/methodology/approach-The authors collected firm level financial data and firm level characteristics for the firms listed in BIST100 index of Borsa Istanbul for the period between 2002 and 2006. Due to endogeneity of gender diversity and firm performance, the authors utilize unbalanced panel data with 2SLS specification. To observe the sensitivity of results across measures of performance, three measures of performance, two accounting-based and one market-based, are utilized. Findings-Overall, the authors find some weak evidence that gender diversity impacts firm performance. In particular, the findings imply significant association between gender diversity and firm performance for firms that are targeting local markets, for firms in the financial sector and for firms that are family or block-owned. Moreover, findings are fragile with respect to the measures of diversity and performance selected. Originality/value-Although the relationship between gender diversity and firm performance are investigated several times in the past, there are not many studies that examines the role of firm-specific factors on that relationship. By revealing the factors that are important, this study provides an explanation why the existing literature leads to mixed results.

The banking sector in Turkey has grown significantly over the last two decades of financial liberalization. One of the aims of the financial liberalization was to improve efficiency through restructuring programs including the privatization of state banks and the encouragement of mergers. In this paper we identify key factors determining the technical efficiency differentials among Turkish commercial banks in the pre-and post-liberalization periods, using the technical inefficiency effects model. We found that loan quality, size, ownership of the banks, and profitability have a positive and significant impact on the technical efficiencies of banks. The results warrant implementation of effective regulatory measures to improve the quality of the earning assets of commercial banks. Furthermore, steps by the government to encourage acquisitions or mergers for private banks and the privatization of state-owned banks seem to be consistent in improving the overall efficiency of commercial banking in Turkey.

A survey of applications of the Technical Inefficiency Effects (TIE) model suggests that agro‐climatic and other environment variables are customarily omitted in the model specifications. The justification for such an omission is the assumption that these variables are beyond the control of the farmers and therefore should be treated as random variables. In this paper, we argue that in applications dealing with regional agricultural data, agro‐climatic variables should not be treated as pure random terms. Historical differences in agro‐climatic conditions are known with a reasonable degree of certainty across a larger region. Therefore, omission of such variables from the analysis may lead to inaccurate interregional technical inefficiency comparisons. In order to demonstrate the importance of agro‐climatic variables in such analyses, we estimate the TIE model for Turkey. A translog stochastic frontier production function with agro‐climatic variables such as rainfall and land quality is estimated, and it is shown not only that the agro‐climatic variables are statistically significant but also that their omission substantially affects mean output elasticities and relative technical efficiencies. Une étude sur les applications du modèle de l'effet d'inefficacité technique (EIT) laisse à supposer que les variables agro‐climatiques et les autres variables environnementales sont comme d'habitude omises dans les spécifications du modèle. Une telle omission est justifiée par l'hypothèse selon laquelle ces variables sont en dehors du contrôle des fermiers et devraient être considérées comme des variables aléatoires. Dans ce communiqué, nous affirmons que dans les applications concernant les données agricoles régionales, ces variables agro‐climatiques ne doivent pas être traitées comme de simples termes aléatoires. Les différences historiques dans les conditions agro‐climatiques sont connues avec un degré raisonnable de certitudes pour une grande région. Aussi l'omission de telles variables dans l'analyse peut‐elle donner lieu à de fausses comparaisons interrégionales d'inefficacité technique. Afin de démontrer l'importance des variables agro‐climatiques dans de telles analyses, nous considérons le modèle de l'effet d'inefficacité techniques de la Turquie. II s'agit d'une fonction de production frontalière translogue et stochastique avec des variables agro‐climatiques telles que la pluviosité, la qualité de sol et d'autres variables. Nous démontrons que les variables agro‐climatiques sont non seulement importantes statistiquement, mais que leur omission influence essentiellement les élasticités moyennes de production ainsi que les efficacités techniques relatives.

Based on the similarity of productive activities carried out by sectors, national input-output (IO) matrices may be divided into sub-matrices each representing a broader group of sectors called blocks. The strength of linkages among sectors that belong to different blocks would then show the degree of block interdependence. The measurement of this degree is useful in many areas including structural change analysis, evaluation of various support policy alternatives or for deciding whether a general or a partial equilibrium framework should be used to investigate the effects of an exogenous shock to a particular sector or a block. This paper introduces a technique that can be used to gauge the degree of block interdependence based on simulation results from demand and supply-side IO models. The application of the technique is illustrated for the case of interdependence between agricultural and non-agricultural blocks in Turkey which recently signed a Customs Union Agreement with the EU. The results indicate that, although Turkey's Agreement covers trade relations in non-agricultural sectors alone, the agricultural sectors must face indirect effects the magnitude of which depend, to a great extent, on the degree of interdependence between blocks considered here.