Search results

This article studies the planning and creation of a substantial wine farm in South Africa. A prominent businessman uses his managerial talents in copy‐book fashion, to attract earlier return (on his considerable outlay) than would have been the case relying fully upon the maturity of his vine crop. An enormous bush‐fire had an unexpected effect, and the variation of wildlife is touched upon, as are the inevitable government regulations. There is so much being, and to be, installed, that it is suggested a follow‐up study concerning maturity and achievements could be useful.

Wine tourism has gained increased coverage in the last 4–5 years. Recognised as an effective aid to distribution and brand building, both industry and academia have developed research and strategies for increasing the effectiveness of how wineries manage wine tourism. This paper synthesises the findings from two recent conferences and argues that in order to be successful wineries will need to pay more attention to strategies that attract repeat visitors. This requires a relationship marketing strategy.

This paper aims to the evaluation and comparison of the efficiency of winemaking in two developing countries (Ukraine and Bosnia and Herzegovina (B&H)) from the perspective of their development.

In this research study, four models of data envelopment analysis (DEA), correlation and other tools of the data analysis are used to analyze the efficiency of wineries in two developing countries. Returns to scale, scale efficiency, super-efficiency and some other indicators are examined. The research is based on the sample, including 33 wineries of Ukraine and B&H.

Characterized by the same average efficiency and number of leaders, in Ukraine, medium and large wineries are developing more efficiently than small ones, whereas the opposite is true for B&H. The authors found the high potential growth of efficiency on Ukrainian (up to 28.9 per cent) and Bosnian wineries (up to 28.3 per cent). The ways for its realization were suggested. Cross-country efficiency analysis enabled us to find inter-country leaders of wine industry. The authors grouped inefficient wineries, calculated the potential for inputs reduction and found the main directions for the improvement of efficiency for each group.

The research is limited to a single industry in only two developing countries. Future studies can be devoted to the comparison of the efficiency of wineries in developed and developing countries. The results can determine which countries can be leaders in the global wine market in the future.

This study provides useful information for: researchers of wine market in developing countries enabling them to understand the current state, basic problems and efficiency levels of wineries in Ukraine and B&H; domestic policy-makers- to improve regulation of wine industry as to make it more competitive and efficient; wine producers in these countries- to find the benchmarks using the best practices to adapt them in own business and to increase an efficiency.

On the example of Ukraine and B&H, this study has shown that each respective country has its own conditions of doing wine business. This is the first paper that compares the efficiency of wine industry in Ukraine and B&H.

The purpose of this paper is to evaluate and compare the efficiency of wine making in Germany and Ukraine in order to find the controllable factors of wine business performance using benchmarking tools.

The models of data envelopment analysis and other benchmarking tools are used to analyse the efficiency of wineries in two countries. Returns to scale, scale efficiency, super-efficiency and some other indicators are examined. The research is based on the sample of 36 German and Ukrainian wineries.

The hypothesis of higher wine making relative efficiency in Germany was compared with Ukrainian wine making, then analytically and statistically verified. A relatively high average scale efficiency score indicates good potential (above 30 per cent) for efficiency growth, due to the optimisation of a scale of production and sales. Generally, wine making in Germany and Ukraine has increasing returns to scale. The high-efficient wine business cannot bring great losses. It was found that the most efficient combinations of size and legal form of business organisation for wine business are presented in Germany.

The research is limited by a single industry of only the two countries.

This study provides useful information for researchers, investors and policy makers, enabling them to understand the current state, basic problems, controllable factors and efficiency levels of wine making in Germany and Ukraine. It may be useful to wine producers in these countries for improving their business performance.

This is the first paper that compares wine business performance and discloses its factors for Germany and Ukraine.

The purpose of this paper is to study winemaking efficiency with the help of international performance benchmarking and to finding ways for its improvement.

In this research, three models of data envelopment analysis (DEA) and other tools of international performance benchmarking are used to analyse the efficiency of wine companies. Return to scale (RTS) and scale efficiency, labour and capital productivity and some other indicators are examined. The research is based on a sample of 36 wine companies from 15 countries.

International benchmarking expands performance improvement for domestic companies. The most efficient wine companies are originated from Germany, USA and New Zeeland. Scale inefficiency and increasing RTS for most of the wine companies was identified. Only three wine companies have decreasing RTS (those from UK, Australia and France). To increase relative efficiency, these companies need to reduce the output and sales as their costs are growing faster than the revenues. A huge potential for cost reduction and efficiency growth within Ukrainian wine companies was revealed.

The research is limited to a single industry. This is explained by the requirement of technology (product, service) homogeneity while using DEA tools.

Study results include the data and recommendations to develop winemaking. These results can be used by wine companies’ management, present and potential investors and proprietors, regulative public authority, e.g. to improve efficiency in winemaking.

This is the first paper that adapts various DEA models to measure efficiency in the wine industry of Ukraine and the tools of international performance benchmarking for wine companies around the world.

The purpose of this paper is to estimate and analyse the technical efficiency (TE) component of productivity for a sample of winegrowers from the Douro Demarcated Region in Portugal.

The data were collected through face-to-face surveys and includes a sample of 110 farmers’ vineyards with specific input-output information and other data about production systems during the year of 2017. The authors use a two-stage data envelopment analysis using bootstrap techniques to obtain TE scores in the farmers’ vineyards and to examine the determinants of its efficiency.

The results show that some farmers’ vineyards have a low efficiency level and that there are essential determinants of the production system, which can influence its efficiency. This suggests considerable opportunities for improvement of wine grape productivity through better use of available resources considering the state of technology.

This work has overcome the lack of data in the farmers’ vineyards, the lack of efficiency studies in the region and also allowed to evaluate the production systems and to assess their impact on efficiency.

The purpose of this study is to determine the likelihood of a USA Mid-Atlantic region consumers’ willingness to partake in a wine tasting event, an example of an agritourism activity, based on their responses to an Internet survey conducted from June 22 to 29, 2010.

Potential participants were screened and asked to participate if they resided in one of the states targeted (Delaware, New Jersey or Pennsylvania); were aged 21 years and older; were the primary food shopper for the household; and had previously attended an agritourism and/or direct marketing events or activities.

A logit model was developed based on responses from 972 consumers who participated in the 15-minute Internet survey to predict participation in wine tasting activity. Consumers who are more likely to attend an on-farm wine tasting event include those who learn about agritourism events through newspapers, think that the variety and price of produce is better at direct markets than supermarkets, are older than 50 years, have a graduate degree and are self-employed.

Empirical results will help agritourism operators enhance marketing efforts and develop profitable on-farm agricultural activities by identifying consumer segments likely to participate in wine tourism activities.

This paper helps identify consumer segments that are more likely to participate in a wine tasting event and provides marketers with the ability to target likely buyers based on corresponding demographic characteristics.

This paper identifies likely wine tasting participants based on demographics, psychographics and behavioral characteristics.

The goal of this research is to empirically test one of the direct selling models – the farmers’ fair. We examined how the fairs can influence general recognition and improve the image of wines produced on family farms in Croatia, and how they affect the sales and number of the buyers at the family farms. Two surveys were carried out, one with fair’s visitors (n = 678) and the other with wine producers (n = 47). The research results confirmed usefulness of the organisation of the family farm wine fair on the Croatian market. The recognition of the family farm wine has increased and the image of these wines has improved on the local market. By participating at the wine fair the wine producers have enlarged the buyers tree and the wine sales at the farm.

Through the framework of Michael Porterʼs five forces, this article compares sustainability in the Oregon and British Columbia wine industries. After describing the contrasting characteristics of the green niche model and the government-led model of environmental change, the article analyzes the emerging challenges for each type of change.The distinct sources for profitability and future innovation suggests diversity within the sustainability movement and two very different processes of translating environmental values into entrepreneurial practice.

The literature argues on ambiguous impacts of different types of the common agricultural policy (CAP) subsidies on farm technical efficiency (TE). The purpose of this paper is to estimate and analyse the TE and the impact of the CAP subsidies on the TE of wine farms in Hungary using the farm accountancy data network data set in the period 2013–2019.

The authors use stochastic frontiers analysis (SFA) models to estimate the TE scores for the Hungarian wine farms with four wine farm-level inputs in terms of agricultural land, labour, capital and intermediate consumption. The TE scores are explained by the CAP subsidies and economic wine farm size. The different SFA models were applied with robustness tests to investigate the drivers of the TE values of wineries.

Like for Hungarian farms in general, the distribution of the wine farm structure is a dual with a greater number of smaller wine farms and a smaller number of bigger wine farms. The agricultural land, capital and intermediate consumption are significantly positively associated with the wine farm TE. With higher capital intensity wine farm TE increase. The results imply that the CAP subsidies decrease the TE of the Hungarian wine farms, whereas economic farm size increase.

To the best of the authors’ knowledge, this is one of the first specific efficiency studies on the wine sector in the Central and Eastern European region and the first one for Hungary to evaluate the TE at wine farm level and to assess the impact of CAP subsidies and economic farm size on wine farm (in)efficiency to apply production technologies and use farm resources. This study is among the first that applied the fixed-effects stochastic frontier model at the wine farm level to measure the drivers of the TE scores.