How drought affects the financial characteristics of Australian farm businesses

The financial performance of 240 farms in a drought‐affected agricultural region of Australia is analysed. The decadal study period included some years of widespread drought, as well as years with only subregional droughts or no drought. Some droughts created larger adverse financial impacts than others. Mostly, the more droughts farms experienced, the worse was their financial performance relative to farms within the same quantile of farm performance. Despite the incidence of drought, by the end of the decade, almost all the farm businesses were wealthier from increasing their farm size and becoming more crop dominant. Unexpectedly, consecutive years of drought had a significant positive effect on the operating profit per hectare and retained profit per hectare of farms in a majority of their respective quantiles. Many farms that experienced consecutive drought were forced to make structural changes, shifting away from livestock production towards additional cropping. These structural changes boosted farm performance over the decade. The incidence of drought affected some measures of farm performance differently whilst others were affected similarly. Understanding these metrics of farm performance and the structural changes underway in an agricultural region helps form a more complete view of drought impacts.     

Feed use intensification and technical efficiency of dairy farms in New Zealand

In recent years, the traditionally pasture‐based dairy farms in New Zealand have become more intensive by using higher proportions of supplementary feed. This trend has been attributed to a range of factors, such as productivity enhancement, overcoming pasture deficits and the improvement of body condition scores. However, there is a lack of knowledge as to how feed use intensification affects the technical efficiency of dairy farms in New Zealand. This paper addresses the research gap by estimating the impact of feed use intensification on the technical efficiency of New Zealand dairy farms, using a fixed effects stochastic production frontier model and a balanced panel of 257 farms from 2010 to 2013. The empirical results show that technical efficiency on New Zealand dairy farms is positively and significantly influenced by feed use intensification, herd size and milking frequency.     

Patterns in Technical Efficiency and Technical Change at the Farm‐level in England and Wales, 1982–2002

English and Welsh farm‐level survey data are employed to estimate stochastic frontier production functions for eight different farm types (cereal, dairy, sheep, beef, poultry, pigs, general cropping and mixed) for the period 1982 to 2002. Differences in the relative efficiency of farms are explored by the simultaneous estimation of a model of technical inefficiency effects. The analysis shows that, generally, farms of all types are relatively efficient with a large proportion of farms operating close to the production frontier. However, whilst the frontier farms of all types are becoming more efficient through time because of technical change, it is also the case that the efficiency of the average farm for most farm types is increasing at a slower rate. In addition, annual mean levels of efficiency for most farm types have declined between 1982 and 2002. The factors that consistently appear to have a statistically significant effect on differences in efficiency between farms are: farm or herd size, farm debt ratios, farmer age, levels of specialisation and ownership status.     

Scale Efficiency in the New Zealand Dairy Industry: a Non-parametric Approach

The aim in this article is to measure the scale efficiency of the New Zealand dairy industry and to examine the relationship between farm size and technical efficiency. Data envelopment analysis (DEA) is applied to a sample of 264 dairy farms. The results suggest that 19 per cent of these farms are operating at optimal scale, 28 per cent at above optimal scale, and 53 per cent at below optimal scale. On average, the optimal size for New Zealand dairy farms is estimated at 83 hectares with a herd of 260 animals. Average technical efficiency is estimated at 89 per cent.     

Farm technical and environmental efficiency and subsidy redistribution in Ireland: A simulation approach of possible performance and equity effects

We investigate the relationship between EU Common Agricultural Policy environmental payments, and dairy and beef farm level competitiveness and environmental performance. We use an Irish panel of farm level financial data for the years 2000–2017 and apply stochastic frontier analysis. Our estimates identify a positive relationship between technical efficiency and the Green, Low-Carbon, Agri-Environment Scheme for dairy farms, in contrast with the negative relation identified for previous payments of this kind such as the Rural Environment Protection Scheme for both beef and dairy. We then simulate increases in the first type of environmental payments financed through reductions in decoupled payments. We use alternative scenarios for payment redistribution such as flat allocation, allocation to farms with low stocking rates or proportional reallocation of payments. We find that under the second scenario, marginal environmental gains can potentially be achieved for dairy farms. For beef farms, the proportional allocation performs best regarding environmental gains. We also find that under this scenario, the impacts on income inequality can be smoothed for both farm types.     

Technology choice and efficiency on Australian dairy farms*

Deregulation of the Australian dairy industry, specifically the removal of price subsidies to ‘market milk’, as well as ongoing drought in many dairy regions, has placed considerable pressure on farm cash income and a search for ways in which dairy farms can be made to operate more efficiently. Using traditional farm survey data and a unique biannual data set on farm technology use, this paper estimates a stochastic production frontier and technical efficiency model for dairy farms in New South Wales and Victoria, determining the relative importance of each input in dairy production, the effects of key technology variables on farm efficiency, and overall farm profiles based on the efficiency rankings of dairy producers. Results show that production exhibits constant returns to scale and although feed concentration and the number of cows milked at peak season matter, the key determinants of differences in dairy farm efficiency are the type of dairy shed used and the proportion of irrigated farm area. Overall farm profiles indicate that those in the ‘high efficiency group’ largely employ either rotary or swing‐over dairy shed technology and have almost three times the proportional amount of land under irrigation.     

NEW ZEALAND BEEF AND SHEEP SUPPLY RELATIONSHIPS

The primary purposes of this study are to measure major relationships describing the responses of different components of sheep and beef farming capital stock in New Zealand to changes in economic conditions, and to investigate the way in which this capital stock has changed over time. These objectives are pursued by attempting to specify an econometric model that recognises joint production between sheep and beef cattle and also takes account of joint firm/household decision making. Aggregate New Zealand data for the period 1952/53 to 1973/74 are fitted to the model using Full Information Maximum Likelihood estimation.     

The economics of drought: A review of impacts and costs

Although a growing body of literature studies drought impacts, papers providing a comprehensive review of drought's social and economic impacts are scarce. This paper fills this gap by exploring the consequences of drought on societies based on research findings in Australia—a large country used to experiencing severe droughts. To do this, we propose a framework to categorise drought impacts in three dimensions: individuals/households (including health), productive sectors and system (including economic and ecosystem) impacts. The framework then guides a systematic literature review and discussion of studies looking at diverse drought impacts and their related costs. By analysing and discussing the findings from this literature, we emphasise different policy considerations, empirical challenges and research needs to support robust analysis and estimates of the true cost of droughts. We conclude by proposing an expanded framework to identify drought impacts and a discussion of the implications of the review for policy development.     

Erosion mitigation in the Waikato District,New Zealand: economic implications for agriculture

Soil erosion, in its various forms, is caused or aggravated by agricultural activities. Mitigation of surface erosion comprises the construction of shelterbelts, fencing, riparian buffering, and stock reduction. Mitigation of mass‐movement erosion, in turn, takes the form of spaced planting of trees to maintain a persistent, healthy, and complete ground cover. In this article, we assess the economic implications to agriculture of the adoption of mitigation alternatives for erosion control in the Waikato District, New Zealand. The Waikato District presents a spatial pattern of erosion that affects profitability of dairy, and sheep and beef enterprises. We use the Universal Soil Loss Equation and the New Zealand Empirical Erosion Model to estimate erosion figures that are then fed into an economic‐focused, nonlinear, partial equilibrium mathematical programming model of New Zealand land use. Different scenarios are constructed for surface and mass‐movement soil erosion targets ranging from 0% to 50% below baseline levels. We find that achieving surface erosion targets is more expensive than mass‐movement targets, and results in different responses in regional‐level costs, land use, enterprise net revenue, and adoption of mitigation alternatives.     

The impact of drought and water scarcity on irrigator farm exit intentions in the Murray–Darling Basin

Drought and future water scarcity in the Murray–Darling Basin (MDB) will continue to restructure the irrigation industry in the coming decades. There has been little work conducted in Australia that has modelled farm exit or exit intention. ABARES farm survey data were used to model irrigators’ farm exit intentions across the southern MDB from 2006 to 2013. In particular, we examined the hypotheses that drought and water scarcity positively impacted on farm exit intentions and that it is the poorest performing farms that intend to exit in times of drought. Results revealed that water scarcity impacts varied considerably. There was only weak evidence to suggest that irrigators’ exit intentions were higher in times of drought, but there was stronger evidence to support the influence of a lagged water scarcity impact on farm exit intentions during periods of nondrought (e.g. intending to exit at times when the property market was less depressed). There was also strong evidence that poorer performing farms (measured by rates of return and higher debt over a certain level) were more likely to have exit intentions in drought periods, but not necessarily so in nondrought periods. Older age is the most consistent predictor of farm exit intentions across all industries, though it was most significant in drought periods.     

The Diversity of Farmers' Risk Management Strategies in a Deregulated New Zealand Environment

In this paper, the results of a nation-wide survey of New Zealand sheep and beef farmers are presented. Multivariate statistical techniques are used to identify groups of farmers who differ in their risk management practices. Five groups are identified. They are labelled income risk reducers, capital managers, part-timers, debt and market risk managers, and production managers. These groups differ in their perceptions of risk sources and in some farm and farmer characteristics. Reasons for these differences are identified and discussed in the context of deregulation.     

A FARM GROWTH MODEL FOR POLICY ANALYSIS IN AN EXTENSIVE PASTORAL PRODUCTION SYSTEM

The development of a simulation model of an extensive pastoral farming system to assist analysts in their assessment of government policy measures is described. The model was designed to simulate, over a number of years, the physical and financial operation of a sheep and beef production system typically found in the North Island hill country of New Zealand. By manipulating model parameters and data related to prices, costs, taxation and credit, a range of policies can be represented and their effects simulated. The model is used to undertake an ex post analysis of the farm-level impact of the supplementary minimum price scheme in New Zealand and to project farm performance following the abolition of the scheme. Consideration is given to the use of the model to represent sheep and beef production systems elsewhere.     

‘Deal’ or ‘No Deal’? Impacts of Alternative Post‐Brexit Trade Agreements on UK Agriculture

Brexit will have important implications for UK agricultural commodity markets due to potentially significant changes to trade flows. We quantify the sectoral impacts on UK agriculture of three illustrative scenarios, which capture a broad range of potential trade arrangements: Bespoke Free Trade Deal , WTO Default and Unilateral Trade Liberalisation . It is estimated that the projected market impacts are relatively small if the UK negotiates a Bespoke Free Trade Agreement with the EU. The projected impacts are much greater under the two other scenarios, which capture potential trade arrangements if ‘no deal’ is reached. The high tariffs imposed under the WTO default scenario lead to significant adjustments in trade between the UK and EU‐27, with the impact on the domestic UK market depending on whether the UK is a net importer or a net exporter of the relevant commodity. All sectors experience price and production declines under the trade liberalisation scenario in which the UK unilaterally sets tariffs on imports from both the EU‐27 and the rest of the world to zero; the impacts are particularly severe in the beef and sheep sectors where international competition is very strong.     

Impact of de-coupling agricultural support on dairy investment and milk production volume in Finland

This study analyses the impacts of de-coupling of agricultural support from production in Finland. A dynamic agricultural sector model, which includes 17 production regions and endogenous investments and technical change, is used in the analysis. Investment in different production techniques is dependent on the relative profitability and the spread of each technique in the population of heterogeneous farms. There are relatively few large farms which use efficient production techniques in Finland. De-coupling weakens the incentive for investment in dairy production and causes a temporary but significant slow down in dairy investments and technical change. Consequently, de-coupling is likely to result in a significant drop in milk and beef production in the next 10-20 year period if no corrective measures are taken in agricultural policy in less-favoured areas such as Finland. However, a slow recovery of investment and output levels are expected in the long run.     

Beef import market shares in Taiwan: implications for Australia

Market shares of major beef suppliers to Taiwan, including Australia, the United States and New Zealand, were estimated econometrically to determine their relative competitiveness. The analysis, based on monthly data from June 1990 to August 1997, showed that relative prices and consumer incomes were important factors influencing suppliers' market shares. Specifically, the demand for Australian beef responded little to an increase in price and negatively to an increase in consumer income. Furthermore, the growth in Taiwan beef consumption has slowed down and Australian beef suppliers need to re-assess the market potential and develop appropriate marketing strategies to maintain competitiveness.     

Credit constraints and smallholder dairy production in the East African highlands: application of a switching regression model

Accurate assessment of farmers' credit constraint condition is important in order to understand the circumstances under which credit would have its greatest impact. In this study a switching regression model was used to determine the impact of credit on smallholder dairy farms in the East African highlands using farm level data from Ethiopia and Kenya. Farmers were classified as credit constrained or credit non-constrained based on their responses from the farm level surveys. No consistent relationship was found between farmers' credit constraint condition and their borrowing status. Most of the variation in milk output per farm was explained by the number of crossbred milking cows in the dairy herd. As credit is likely to facilitate investment in crossbred dairy cows it will have substantial impacts on smallholder dairy farms especially if it is targeted to credit constrained farms.     

Estimation of Treatment Effects of Recombinant Bovine Somatotropin Using Matching Samples

The production and profit impacts of recombinant bovine somatotropin (rbST) on select New York dairy farms were estimated using data over the years 1994 through 2004, by comparing matching farms that use and do not use rbST. The use of rbST increases milk production per cow and decreases the cost of production per hundredweight of milk. The cost penalty (cost reduction) is $0.39 per hundredweight for those currently using rbST to stop using rbST, while the average treatment effect is $0.73.     

LIVESTOCK PRODUCTION POLICIES AND MEAT PROCESSING MARGINS: THE CASE OF NEW ZEALAND, 1967-1988*

The New Zealand export meat industry has been through a considerable number of changes in the 1980s. The deregulation of export slaughter facilities, Supplementary Minimum Prices, Producer Board intervention, declining livestock numbers and domestic cost pressures have all affected the performance of the domestically based processing sector. Major changes in market access and demand have influenced off-shore marketing operations, particularly for sheepmeats. Additionally, there has been a change in the type of meat exported with a greater proportion of further processed product shipped in recent years. As an example of the impact of these developments on livestock producers, the producer share of the United Kingdom wholesale market return for a representative prime lamb carcase has fallen from 40 per cent in 1978 to 25 per cent in 1988. In this article the pattern of intervention in the New Zealand pastoral meat industries from the mid-1960s is detailed, emphasising the different environments of the beef and sheepmeat enterprises. Then the principal factors influencing domestic processing margins for these products are empirically examined. Alternative model specifications and alternative estimation techniques are compared and contrasted. The results of these analyses are discussed in terms of the historical patterns of assistance and structural change, and in terms of current rationalisation pressures on the meat processing sector.     

The economic costs of weeds on productive land in New Zealand

Here we review published research on the costs of weeds to New Zealand’s pastoral, arable and forestry sectors, and propose an alternative dynamic approach for future research. The studies reviewed had little in common methodologically, often contained guesswork, or were outdated. Their aggregation resulted in a conservative estimate of the cost of weeds to New Zealand’s agricultural economy of $1658 million (2014 NZD). To address deficiencies in previously used methodologies, a dynamic approach is developed and applied to a case study on giant buttercup in dairy pastures. This approach accounts for probable temporal changes in both the geographic extent of the weed and in producer prices and indicates annuitized costs (over the period 2012–2030) of $166 million, $259 million and $592 million for rates of spread of 144, 60 and 20 years for giant buttercup to invade all dairy regions in New Zealand. Comparing the aggregate cost of all weeds to the three productive sectors estimated from the historical data with these ‘dynamic’ estimates for the one species in dairy pasture, indicates that the historical data provide a substantial underestimate of the true aggregate cost of weeds to New Zealand’s agricultural economy.     

Modelling New Zealand dairy products: evidence on export survival and duration

This article presents evidence concerning the pattern of New Zealand dairy exports duration and survival from 1989 to 2017. It also analyses the influence of a set of supply, demand and gravity‐type drivers on the hazard rate for New Zealand dairy export relationships. The findings are summarised as follows. First, New Zealand dairy export relationships are dynamic with numerous entries and exits to and from foreign markets. Around half of the relationships survived for only 1–2 years at the sequence level. Second, duration of sequence, left‐censoring, initial export, decomposed sequences, New Zealand export price index, the number of cows available for dairy production, the number of origins and destinations, and destination partner’s GDP are the most significant factors reducing the hazard rate of export relationships. As regards the effects of the non‐tariff measures, it is interesting that technical barriers of trade are found to significantly decrease the hazard rate. Only pre‐shipment inspection and contingent trade protective measures are significant impediments to New Zealand dairy export relationships. Finally, hazard probabilities for New Zealand dairy export relationships are estimated to be ‘L‐shaped’ over time, whether or not non‐tariff measures are applied to New Zealand dairy products.