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Purpose – This study compares the arrival of large-scale dairy farming in two New Zealand regions since 1984 with a particular focus on the competition between sheep farming and dairy farming.

Design/methodology/approach – The case study draws on qualitative interviews with 58 farmers in two regions.

Findings – We identify and compare the changing economic, social and cultural hierarchies in and between the two regions.

Originality/value – This study extends a typical political economic comparison by emphasising the changes in social and cultural capital as a result of the changing economic conditions in the country and the regions.

Changing conditions for farming force farmers to search for new ways to organize agricultural production. In dairy farming, households experience long working hours, inconvenient working conditions, and low incomes. Dairy markets are beleaguered by overproduction, low prices on staple dairy products, and low return to labor and capital. This structural squeeze, which is aggravated by quick technological changes and the globalization of markets, is negotiated in various ways by dairy farmers in different agricultural regimes. A recent coping strategy for dairy farmers in Norway has been joint farming, a process whereby two, three, or even more farmers establish a joint company to merge their resources and work together. These joint farmers enjoy more leisure time, greater security in case of illness, and improved work environments. Why is joint farming so successful in Norway? One main explanation is the difference between agricultural regimes, which places the Norwegian dairy farmer in a privileged position when it comes to building coping capacity.

The purposes of this paper are to examine the actual conditions of the problems of poverty in rural areas in Inner Mongolia, to clarify the problems involved in the measure to fight poverty through promotion of dairy farming and to propose policies for future measures to fight poverty.

Both quantitative and qualitative analyses are employed, such as the estimation of production functions of agriculture in Inner Mongolia over the period 1998‐2004, the interview analysis and questionnaire survey for case studies. The different roles that three models play in poverty reduction such as the government assistant dairy farming, the enterprise entry dairy farming, and the multiple management dairy farming are discussed.

The paper confirms the growth of the corporate‐participating dairy farming contributes significantly to the development of the regions. It also clarifies the problem of the government‐aided dairy farming with its low profitability caused by insufficient input of fodder and the necessity to select management policies according to the natural conditions and resources available in individual regions, such as a shift toward recycling‐oriented beef cattle management in multiple dairy farming.

The paper adds insight into the promotion of dairy farming and poverty reduction in Inner Mongolia.

This study applies asymmetric rather than conventional symmetric analysis to advance theory in occupational psychology. The study applies systematic case-based analyses to model complex relations among conditions (i.e., configurations of high and low scores for variables) in terms of set memberships of managers. The study uses Boolean algebra to identify configurations (i.e., recipes) reflecting complex conditions sufficient for the occurrence of outcomes of interest (e.g., high versus low financial job stress, job strain, and job satisfaction). The study applies complexity theory tenets to offer a nuanced perspective concerning the occurrence of contrarian cases – for example, in identifying different cases (e.g., managers) with high membership scores in a variable (e.g., core self-evaluation) who have low job satisfaction scores and when different cases with low membership scores in the same variable have high job satisfaction. In a large-scale empirical study of managers (n = 928) in four (contextual) segments of the farm industry in New Zealand, this study tests the fit and predictive validities of set membership configurations for simple and complex antecedent conditions that indicate high/low core self-evaluations, job stress, and high/low job satisfaction. The findings support the conclusion that complexity theory in combination with configural analysis offers useful insights for explaining nuances in the causes and outcomes to high stress as well as low stress among farm managers. Some findings support and some are contrary to symmetric relationship findings (i.e., highly significant correlations that support main effect hypotheses).

The New Zealand (NZ) dairy industry faces the challenge of increasing productivity and dealing with public concerns over nutrient pollution. The effective policy needs to address regional differences in productivity and fertilizer use. The purpose of this paper is to investigate how spatial effects influence the relationship between dairy yields and intensive farming practices across regions in NZ.

This paper employs spatial panel data models to establish whether unobserved spatial effects exist in the relationship between dairy yields and nutrient inputs regionally and nationally using 2002, 2007 and 2012 data from Statistics NZ and DairyNZ.

The results show positive spatial spillovers for most intensive inputs. The high level of effluent use and estimated negative yield response to nitrogen suggests that an opportunity exists for greater use of effluent as a substitute for nitrogenous fertilizer. Substitution has the potential to reduce dependence on fertilizer and contribute to a reduction in the nutrient pollution.

This paper is the first empirical application of spatial econometric methods to examine the spatial relevance of dairy yields and intensive farming in NZ. In particular, the spatial panel data model accounts for cross-sectional dependence and controls for heterogeneity. The results contribute to an understanding of how farmers can improve their management of intensive inputs and contribute to the formation of regional environmental policy that recognizes regional heterogeneity.

The global research evidences indicate that the technology adoption in case of agribusiness has a potential to enhance the performance and bring operational efficiency. India is the world’s largest producer as well as consumer of milk but struggles with yield per cattle, overall productivity, low rate of technology acceptance and adoption, health detection of milching units, animal data recording and presence of dairy products in the global market. The purpose of this study is to focus on identifying the challenges of technology adoption in dairy farms and constructing a hierarchical model using soft systems methodology.

This study uses nominal group technique-based discussion with domain experts and personal interviews with dairy farm owners/managers for the identification of challenges, fuzzy interpretative structural modeling as well as FMICMAC to develop a hierarchical model of challenging elements and to divide the identified elements into four categories based on the dominance of driving-dependence power.

This research has developed a list of 12 challenges affecting the technology adoption in a dairy farm business unit, identified through the personal interviews with 60 dairy farms across three highest milk-producing states of India in terms of annual milk output – Haryana, Punjab and Uttar Pradesh. Lack of government support followed by lack of educational opportunities in dairy-based education were found as the most crucial and high driving challenges, whereas high cost, huge investment and low acceptance of decision-maker were found as the most dependent challenges of technology adoption.

This research is one step ahead of interpretive structural modeling that considers the fuzzy-based dominance in the model to showcase the degree of relationship along with its existence, but it lacks to statistically validate the findings using techniques like SEM.

This paper has developed a list of challenges in adoption of technology along with their inter-relationships to highlight the required focus challenge that drives or is dependent on the other challenges. The goal is to bring performance improvement and assist Indian dairy farm business stakeholders or decision-makers in formulating strategic and action plans and help policy planners to make favorable policies based on the understanding of contextual relationship between challenges.

In Indian context, dairy is an important part of agriculture sector, and milk is an essential item that facilitates income generation to small and rural households and a source item for several other businesses and activities. The results of this research suggested the policy planners and government to ensure subsidized and insured technologies, training support and facilities, educational opportunities and efforts for promotion of technology adoption among dairy farmers. The suggestions are purely on the basis of the relevance of challenges in the hierarchy and can play a significant role in improving the level of technology adoption and can ultimately uplift the social and economic well-being from micro-level of farmers to macro-stage concerning economic development of India.

To the best of the authors’ knowledge, this study is purely original and outcome of the research conducted by authors.

Operations and Logistics.

Senior undergraduate students and postgraduate students specialising in agricultural economics/agribusiness/supply chain management and can also be used for executive training for supply chain managers and corporate social responsibility (CSR) managers of food companies.

This case presents an industry leading company – Nestlé’s sustainable initiative in its dairy supply chain in China. The case begins with the background of China’s dairy industry, followed by an introduction of the case company. The case then moves on to the comparison of Nestlé’s fresh milk supply chain operation before and after 2008 and different approaches to help the dairy suppliers’ transformation. The focus is on Nestlé’s innovative industry collaboration platform, the Dairy Farming Institute.

This case allows students to explore the following theoretical frameworks: sustainable supply chain management; supply chain leadership, supply chain learning and supply chain structure. By analysing this case, students should be able to gain an understanding of how multinational corporations (MNCs) play a supply chain leadership role in supply chain learning of sustainable supply chain initiatives.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 9: Operations and Logistics.

Purpose – Dairy has been the backbone of agriculture in regional Norway, and the processing of milk has been dominated by co-operatives owned by milk farmers. During the social democratic order (1945–1979), productivist agriculture thrived, while a more multifunctional agriculture was developed after 1980. As a measure against overproduction, a quota system was introduced in 1983. The purpose of this study is to see if there are signs of a neo-productivism revival after climate change and other global shocks, like the food crisis, featured prominently on the political agenda.

Design/methodology/approach – The chapter reviews the radical structural changes in Norwegian dairy production since the early 1960s, which reduced the number of milk farms radically from 148,000 in 1959 to almost 16,000 in 2009. According to the Agricultural Agreement between the Norwegian government and the farmers' organisations, the co-operatives are given an important semi-public role as market-price regulators and stock keepers. This Norwegian system may be described as a classical regulated dairy regime. The Norwegian dairy regime has been through several deregulations and re-regulations over the last 20 years, partly forced by internal pressures and partly inspired by liberalisation tendencies abroad.

Findings – After mid-1990s, there has been an increase in the number of joint dairy farms, where individual ownership of land is maintained while herds, buildings and machinery are merged. Three thousand six hundred thirty dairy farmers are now participating in 1,510 joint farming firms, producing 29 per cent of the milk in Norway. This rapid growth of joint farming is transforming the dairy sector in Norway. Analysis has shown that its evolution is closely tied to farmer socio-economic demands, including social benefits, such as increased leisure time, and security during illness. While there has been pressure to increase productivity, the food crisis changed attitudes, making the current policy of import tariffs and subsidies easier to defend.

Originality/value – This chapter shows that neo-liberalism in Norway was not pursued as far as in most other OECD countries, although some deregulation was taking place. Norwegian agricultural policies are still regulating the sector to a substantial degree, with the annual Agricultural Agreement negotiations serving as a centrepiece. Norway has ambitious climate goals, and by 2020 greenhouse gases emissions should be reduced to 30 per cent of the 1990 rate. A further goal is that Norway will be carbon neutral by 2030. As part of the implementation of its climate policy, a White Paper on agriculture and climate change was put forward in May 2009. For Norwegian food production as a whole, a change towards more grazing at the expense of crops would improve carbon storage and reduce the overall use of fertiliser. Such a shift in land use would benefit the dairy sector, in part because of easier access to domestically grown cow feed.

This study aims to explore farmers’ perceptions of environmental impacts of dairying and their practices towards implementing environmental management accounting (EMA) techniques.

Semi-structured interviews were held with five dairy farmers in the South Island of New Zealand (NZ).

Dairy farmers perceive environmental sustainability in dairying as being able to feed people while protecting the environment so that future generations can also enjoy the natural world. Recognising the need to alter their practices to reduce environmental damage they have produced, dairy farmers use some EMA techniques, but the primary motivation is compliance with government regulations. Other motivations for using EMA techniques are high economic returns, maintaining their reputation and self-satisfaction. Barriers to implementing EMA techniques are primarily due to lack of clarity and feasibility of regulations, coercion and inadequate communication by regulators and high compliance costs.

The findings contribute to the current EMA literature by providing a better understanding of EMA practices of dairy farmers in NZ, barriers to implementing EMA and how those barriers could be reduced. It may also help NZ central and local government in developing environmental strategies and policies. Furthermore, this research is expected to help people in the dairy industry to find ways to educate farmers about how the measures that are required can help them to reduce both the environmental impacts and the costs of dairying, thus contributing to sustainable development globally.

In the past decade, there has been a dramatic decline in agricultural employment in Bulgaria and several reports have pointed at supply chain modernisation and poor milk quality as the main reasons for the dramatic decline in the number of farms. However, to date the policy debate is been based on ad hoc claims, while there is relatively little micro-level evidence. The purpose of this paper is to analyse the determinants of structural change in the Bulgarian dairy sector in the period 2003-2009.

This paper analyses the determinants of structural change in the Bulgarian dairy sector in the period 2003-2009, using a unique panel survey of 296 farm households in the North and South Central Region of Bulgaria. In order to control for sample attrition bias, the authors use a two-step Heckman model of farm survival and growth model.

The data confirms the rapid outflow of agricultural labour from dairy farming activities: 55 per cent of the farm households supplying milk to a dairy company in 2003 stopped supplying in 2009. The main reasons for quitting are ageing of the household, health problems and an increase in off-farm employment alternatives and not supply chain modernisation and milk quality standards. The institutional innovations which are associated with integration in modern supply chains, such as the provision of farm assistance programmes, have a positive impact on small farms’ growth.

The study is one of the first to use panel data to analyse the impact of standards on the survival and growth of small farms in value chains. The authors analyse the determinants of farm survival and growth in the Bulgarian dairy sector in the period 2003-2009, using panel surveys of 296 dairy farm households in the North and South Central Region of Bulgaria and panel data from interviews with dairy companies. The findings are relevant beyond the Bulgarian dairy sector as supply chain modernisation and changes in quality regulations are taken place in many other transition and developing countries.