Is it Possible to Utilise the Agricultural Potential of Ukraine under the Current Agrarian System?

The government of Ukraine aims to transform the country into an ‘agricultural superpower at the international level’ with the hope that the sector will gain high foreign currency earnings and become ‘the engine of national economic development’. The large agribusiness corporations have willingly responded to these calls. However, placing hope solely in the corporate sector is inadequate as the key role of agriculture to create business diversity and achieve rural social and environmental objectives will remain unfulfilled. Many other national economies have experienced ‘the offensive’ of capital on agriculture during the twentieth century, with associated negative consequences, thus encouraging them to adopt more balanced agrarian policies which benefit the whole rural population. Utilisation of Ukrainian agricultural potential as an economic growth engine requires a fundamental change in the interpretation of its purpose, which is currently focused on profit‐making export‐oriented commercial activity. The multifunctional nature of the sector needs to be emphasised, the purpose of which is not only the production of agricultural and food products, but also the creation of public benefits, such as the development opportunities and means for existence for 14 million Ukrainian rural inhabitants, maintenance of ecological balance, regeneration of soil fertility and preservation of rural landscapes.     

Kernel density estimation for time series data

A time-varying probability density function, or the corresponding cumulative distribution function, may be estimated nonparametrically by using a kernel and weighting the observations using schemes derived from time series modelling. The parameters, including the bandwidth, may be estimated by maximum likelihood or cross-validation. Diagnostic checks may be carried out directly on residuals given by the predictive cumulative distribution function. Since tracking the distribution is only viable if it changes relatively slowly, the technique may need to be combined with a filter for scale and/or location. The methods are applied to data on the NASDAQ index and the Hong Kong and Korean stock market indices.     

Corporate Governance and Firm’s Efficiency: The Case of a Transitional Country, Ukraine

In this study, we look for empirical support for the hypothesis that there is a positive relationship between the levels of corporate governance quality across firms and the relative efficiency levels of these firms. This hypothesis is related to Leibenstein’s idea of X-efficiency. We use the data envelopment analysis (DEA) estimator to obtain proxies for X-[in]efficiency of firms in our sample and then analyze them with respect to different ownership structures by comparing distributions and aggregate efficiencies across different groups. We also use truncated regression with bootstrap, following Simar and Wilson Estimation and influence in two stage, semi-parametric models of production process, Simar and Zelenyuk (2003) to infer on relationship of inefficiency to various indicators of quality of corporate governance, ownership variables, as well as industry and year specific dummies. The data is coming from seven industries in Ukraine. “The entrepreneurship structure itself may be critical, with the classic issue of the separation of ownership from control being regarded as one of the earliest and most important sources of X-efficiency” (Button and Weyman-Jones, 1992, American Economic Review). We would like to dedicate this paper to the memory of Christos Panzios—co-editor who handled our paper to almost the very end, whose suggestions and encouragement have helped us substantially improve our paper.