Abstract:The milk sector has received much attention in Europe due to the abolition of milk quotas in 2015 and its potential effect on the geographical distribution of milk production across countries. As a way of assessing the competitive advantage of Nordic EU countries, we investigated the productivity level and productivity growth of milk farms across eight countries of the Baltic Sea region from 1995 to 2010. We found considerable discrepancy in the productivity performance of dairy farms across countries. TFP gro… Show more
“…The use of farm bio-economic models for agri-food systems along with their development and policy impact assessment has become interdisciplinary. A few studies have investigated the economic performance of dairy farms (Irz & Jansik, 2015;Kimura & Sauer, 2015;Latruffe et al, 2017;Sipiläinen et al, 2014;Skevas et al, 2018a), but no research has investigated the role of CAP investment subsidies and SBC in the investment behaviour of dairy farms, particularly not through a comparative analysis of Estonia, Hungary and Slovenia. Therefore, this section introduces the academic literature on the link between dairy farm investment and CAP subsidies within the framework of SBC and capital market imperfections, focusing on BCE transition economies and referring to some of the experiences of Western economies.…”
Section: Dairy Farm Investment Investment Subsidies and Soft Budget Constraints: Findings From Academic Literaturementioning
This article investigates dairy farm investment behaviour and the presence of soft budget constraints in the dairy farms of Baltic and Central European transition countries -Estonia, Hungary and Sloveniausing individual dairy farm accountancy panel data for the years 2007-2015. The empirical results confirm that gross dairy farm investment is positively associated with gross dairy farm investment for the previous year for financially unconstrained dairy farms, and negatively for financially constrained dairy farms. It is also positively associated with public investment subsidies, and, except for Slovenia, with growth in real sales for financially unconstrained dairy farms. Mixed results are found for gross dairy farm investment squared and cash flow variables. A particularly significant negative cash flow regression coefficient implies significant soft budget constraints for financially unconstrained Estonian and Slovenian dairy farms, while insignificant cash flow regression coefficients imply weak soft budget constraints for financially unconstrained Hungarian dairy farms.
“…The use of farm bio-economic models for agri-food systems along with their development and policy impact assessment has become interdisciplinary. A few studies have investigated the economic performance of dairy farms (Irz & Jansik, 2015;Kimura & Sauer, 2015;Latruffe et al, 2017;Sipiläinen et al, 2014;Skevas et al, 2018a), but no research has investigated the role of CAP investment subsidies and SBC in the investment behaviour of dairy farms, particularly not through a comparative analysis of Estonia, Hungary and Slovenia. Therefore, this section introduces the academic literature on the link between dairy farm investment and CAP subsidies within the framework of SBC and capital market imperfections, focusing on BCE transition economies and referring to some of the experiences of Western economies.…”
Section: Dairy Farm Investment Investment Subsidies and Soft Budget Constraints: Findings From Academic Literaturementioning
This article investigates dairy farm investment behaviour and the presence of soft budget constraints in the dairy farms of Baltic and Central European transition countries -Estonia, Hungary and Sloveniausing individual dairy farm accountancy panel data for the years 2007-2015. The empirical results confirm that gross dairy farm investment is positively associated with gross dairy farm investment for the previous year for financially unconstrained dairy farms, and negatively for financially constrained dairy farms. It is also positively associated with public investment subsidies, and, except for Slovenia, with growth in real sales for financially unconstrained dairy farms. Mixed results are found for gross dairy farm investment squared and cash flow variables. A particularly significant negative cash flow regression coefficient implies significant soft budget constraints for financially unconstrained Estonian and Slovenian dairy farms, while insignificant cash flow regression coefficients imply weak soft budget constraints for financially unconstrained Hungarian dairy farms.
“…As noted by Boyle (2002), high productivity may compensate for relatively low output prices. In fact, Ireland had been producing above the imposed quota before 1984 and was not producing at its most effective level during the quota phase (Jansik et al , 2014; Donnellan et al , 2015; Läpple and Sirr, 2019). Farmers adjust their practices regularly to improve productivity and to remain resilient to negative price effects.…”
Section: Discussion and Policy Implicationsmentioning
confidence: 99%
“…Policy changes in domestic and international markets continue to be the primary driver of competitiveness research (Jansik et al , 2014; Thorne et al , 2017). Research on the implications of the changes in price-distorting support systems is expected to grow, as more countries become engaged in and exposed to world markets where productivity and profitability are essential for the survival of an industry (Boyle, 2002; Bojnec and Fertő, 2014).…”
Section: Literature Review On Competitivenessmentioning
confidence: 99%
“…Likewise, Bojnec and Fertő (2014) found that Belgium, Denmark, France, Ireland and The Netherlands had a competitive advantage in the global market. Based on that, Jansik et al (2014) noted that Ireland, The Netherlands, Germany and Denmark were most constrained by the milk quota system. According to Giles (2015), countries that had high growth potential post-quota were those countries with a comparative advantage in the international market, e.g.…”
Purpose
This paper aims to examine the competitiveness trends and rankings of the Irish dairy sector at the farm and trade levels, relative to selected European Union (EU) Member States, in the context of the removal of the EU milk quota in 2015.
Design/methodology/approach
Competitiveness indicators including partial productivity measures and accountancy-based indicators were used for farm competitiveness, and net export market share and normalised revealed comparative advantae (NRCA) were used for export competitiveness.
Findings
Amongst the countries examined, Ireland had the highest growth in partial productivity indicators and was ranked first with the lowest total costs and cash costs per kg of milk solids post-quota. However, the total economic cost sub-components showed that Irish dairy farmers had high opportunity costs for owned land and labour. While Irish dairy products such as butter and powders have demonstrated growth potential in competitiveness post-quota with Irish butter and whey ranked in top three relative to other countries, other products, i.e. cheese and liquid milk have declined in competitiveness according to key export competitiveness indicators used.
Practical implications
The challenge for Irish dairy farmers is how to mitigate relatively high land and labour costs, which can limit farm competitiveness in the long run. The key players in the Irish dairy industry can now better position themselves in the global dairy market, recognizing the competitiveness dynamics of the different dairy products and their competitors. Policy implications and further areas of research have been identified to help improve the overall competitiveness position. It is surprising that Irish butter is a leader in the EU, yet not much research has been done to understand the market dynamics of this sector.
Originality/value
To the best of the authors’ knowledge, this study is the first of its kind to use both farm and export competitiveness measures to analyse the Irish dairy industry relative to other countries in the context of quota abolition. Unlike previous studies on dairy export competitiveness, this study has disaggregated the processed dairy products, which allowed for the ranking of countries and comparability across countries using NRCA.
“…For example, the role of the institution in shaping financial sustainability is visible in nonprofit organizations that have to compromise the high reliance on external sources of financing with a range of economic, cultural, and social demands that go beyond the social mission of the organization [32]. In dairy cooperatives, the duality of the function of members, usually being the owners and suppliers of raw material at the same time, may result in conflicts and deteriorate the financial strategy and sustainability of an institution [33]. On a firm level, financial sustainability may refer to viability, stability, or security of a business.…”
A managerial approach to the financial sustainability of a company derives from the principle of value maximization for shareholders at an acceptable level of risk, using the best combination of investments and available sources of financing. The research presents the concept of financial sustainability measurement in the example of food companies from Northern Europe. We applied fuzzy logic to quantify complex interrelations among various financial factors and classify companies according to the level of their financial sustainability. A unique combination of factors formed a single complex indicator, which measured a relative level of financial sustainability of food companies. Considering the duality of financial sustainability in terms of risk and return, the relationship framework for synthetic evaluation included the vector of value and the vector of continuity that consisted of such variables as profitability, market capitalization, productivity, operating efficiency, debt, liquidity, interest coverage, and retained earnings. We received evidence that the level of financial sustainability of entities changed in 2005–2015 and was statistically different among sample companies. The proposed method can be applied as a practical tool in a decision-making process to evaluate financial sustainability or other aspects of business performance in larger groups of entities on the basis of various financial criteria.
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