Technical Efficiency Estimates of Scottish Agriculture: A Note

Within the UK there has been a lack of studies of technical efficiency at the Scottish level. This note compares the results obtained using Scottish data with a recent study by Hadley [Journal of Agricultural Economics (2006) Vol. 57, pp. 81–100] for English and Welsh farms. Four major sectors are investigated, namely: (i) cereals, (ii) dairy, (iii) sheep and (iv) beef over the period 1989 to 2004. Some distinct differences in efficiencies, returns to scale and causes of efficiency are found.     

Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America

This study examines the extent to which technical efficiency (TE) is related to activities promoted by two natural resource management programmes recently completed in Central America. Data for a total of 639 farms operating in the hillsides of El Salvador and Honduras are used to estimate a household‐level input‐oriented stochastic distance frontier simultaneously with a TE effects model. The main finding of this study is that improvements in TE are financially beneficial to farm households while also contributing to environmental sustainability. The results also reveal a positive association between productivity and output diversification, and a positive relationship between TE and off‐farm income, human capital and agricultural extension.     

茶农生产性投资的技术效率及其影响因素实证分析——以福建安溪为例

以福建省安溪县茶农问卷调查数据为基础,利用随机前沿生产函数模型估计样本茶农投资的技术效率,并分析技术效率的变化规律及其影响因素。研究表明,茶农从事茶叶生产加工的时间、茶农从事茶叶生产加工的时间的平方项、茶农户主的受教育年限这3个解释变量对于技术效率的影响不显著;而茶农户主年龄、茶农主栽品种、是否接受过培训、茶农茶叶收入占家庭总收入的比例、茶农家庭拥有的茶园面积、村庄所在地类型虚变量与技术效率呈现正相关的关系;茶农家庭拥有的茶园面积的平方项、地区差异则对技术效率产生负向影响。     

Production Risk and Technical Efficiency in Organic and Conventional Agriculture – The Case of Arable Farms in Germany

This paper quantifies the importance of production risk and technical efficiency as two possible sources of production variability in German organic and conventional farming. Determinants of production risk and inefficiency are investigated based on a combination of Just and Pope’s stochastic production framework and a Stochastic Frontier Analysis. The empirical analysis is conducted using a balanced panel of farm records from 1999/2000 to 2006/2007 on 37 organic and conventional arable farms, respectively. Euclidian‐Distance‐Matching is used to identify for each organic farm a conventional counterpart with similar structural features. Results indicate that output variability in both production technologies is mainly caused by production risk. Land and labour are identified as risk‐increasing inputs in both farm types whereas higher capital endowment, seed costs and soil quality have risk‐reducing effects.     

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.     

Profit Based Efficiency Measures,with an Application to Rice Production in Southern India

Using non‐parametric methods, we estimate the foregone rents due to credit, allocative, and technical inefficiencies of subsistence farmers in Southern India. The lost rents are estimated directly from the Nerlovian efficiency index, and the results suggest the largest foregone rents derive from allocative inefficiencies and then credit inefficiencies. Also, results suggest that farms without well access experience larger losses than those with well access. Econometric results suggest education, the presence of tank water management efforts, and well access influence the level of foregone rent due to allocative and Nerlovian inefficiencies. Educational activities and policies to encourage better management of tanks are considered important for lowering the foregone losses.     

Impact of CAP Subsidies on Technical Efficiency of Crop Farms in Germany,the Netherlands and Sweden

This paper analyses the impacts of CAP reforms, particularly subsidies on technical efficiency of crop farms. An output distance function is employed and estimated together with an inefficiency effects model to capture the effects of CAP subsidies and farmer characteristics on farm efficiency. The model is applied to FADN data (period 1995–2004) of crop farms in Germany, the Netherlands and Sweden. The study shows that the 10‐year average technical efficiency is 64% in Germany, 76% in the Netherlands and 71% in Sweden. The average annual changes in technical efficiency are 0.1%, 0.4% and 2.3%, respectively. The share of crop subsidies in total subsidies has a negative impact on technical efficiency in Germany but a positive impact in Sweden, although insignificant in the Netherlands. The share of total subsidies in total farm revenues has negative impacts on technical efficiency in all three countries, consistent with income and insurance effects. Positive (negative) change in technical efficiency is mainly attributable to farm size (degree of specialisation) in Germany, and degree of specialisation (degree of subsidy dependence) in the Netherlands and Sweden.     

The Contribution of Unmeasurable Inputs to Fisheries Production: An Analysis of Technical Efficiency of Fishing Vessels in the English Channel

Variations in the efficiency of demersal trawlers operating in the English Channel were examined through the estimation of a stochastic frontier production function. The most important measurable factor affecting efficiency was the age of the vessel. However, unmeasurable factors accounted for about 65% of the variation in efficiency, and as much as 9% of the total variation in catches between boats. It is postulated that most of this variation was due to differences in skipper and crew skill. In contrast, "luck" accounted for around 11% of the variation in catches between boats.     

Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand

The paper jointly evaluates the determinants of switching to Jasmine rice and its productivity while allowing for production inefficiency at the level of individual producers. Model diagnostics reveal that serious selection bias exists, justifying use of a sample selection framework in stochastic frontier models. Results from the probit variety selection equation reveal that gross return (mainly powered by significantly higher Jasmine rice price), access to irrigation and education are the important determinants of choosing Jasmine rice. Results from the stochastic production frontier reveal that land, irrigation and fertilisers are the significant determinants of Jasmine rice productivity. Significantly lower productivity in Phitsanulok and Tung Gula Rong Hai provinces demonstrate the influence of biophysical and environmental factors on productivity performance. The mean level of technical efficiency is estimated at 0.63 suggesting that 59% [(100 ? 63)/63] of the productivity is lost due to technical inefficiency. Policy implications include measures to keep Jasmine rice price high, increase access to irrigation and fertiliser availability, as well as investment in education targeted to farm households which will synergistically increase adoption of Jasmine rice as well as farm productivity.     

Institutional Environment and Technical Efficiency: A Stochastic Frontier Analysis of Cotton Producers in West Africa

This paper examines the effects of the institutional environment on West African cotton farmers’ technical efficiency (TE). First, key aspects of the cotton sector institutional environment are discussed, including input and credit access, and producers’ organisations. Then, a stochastic frontier production function, which incorporates technical inefficiency effects, is applied to farm level data collected in Benin, Burkina Faso and Mali. The survey includes farmers’ evaluations of the cotton sector institutional environment. Results suggest that institutional level features influence producers’ TE, besides farm‐level characteristics. Cotton growers who report a negative experience with the joint liability programme, who identify the cotton price mechanism or access to credit as the main constraints to performance, and who cultivate more hectares of cereals are technically more inefficient in producing cotton. Findings suggest that cotton farmers in Mali are less technically efficient in producing cotton than in Burkina Faso and Benin. Agricultural development policies focusing on reducing farmers’ financial stress, particularly through the establishment of adequate price mechanisms (i.e. higher farm‐gate prices and timely payments to farmers) and improvement in the input–credit markets should be encouraged to improve TE in West Africa.     

The Role of Risk Mitigation in Production Efficiency: A Case Study of Potato Cultivation in the Bolivian Andes

Using a stochastic production frontier to model potato production in Bolivia, we quantify the costs of environmental and activity diversification (AD) in the form of efficiency losses and yield forgone. We find that efficiency decreases with the number of fields in a geographical cluster, distance between the dwelling and a particular field, discontinuity between fields, and off‐farm income. However, environmental diversification (ED) is more detrimental than AD. Using spatial analysis of field and household efficiency measures, we assess production vulnerability to climatic shocks and the potential of ED in mitigating shocks. We find important spatial clusters of low and high efficiencies at the field level suggesting that climatic shocks influence efficiency measures. Household‐level efficiency measures exhibit random spatial patterns suggesting that on average households can mitigate the adverse effects of shocks through ED.     

Women’s Labour Contribution to Productivity and Efficiency in Agriculture: Empirical Evidence From Bangladesh

This article examines the contribution of women’s labour input to productivity and efficiency in crop farming using a large survey dataset of 1,839 households from 16 villages in two agro‐ecological regions of Bangladesh. Results reveal that female labour accounts for a substantial 28% of total labour use (mainly supplied from the family) and contributes significantly to productivity as well as technical efficiency. Contrary to expectation, the cost share of female labour input is significantly higher than the male share, and has a substitution relationship with all other inputs, including male labour. The estimated mean level of technical efficiency is 0.90, implying that crop output might be increased by 10% by eliminating technical inefficiency. Both male and female education have a significant impact on improving technical efficiency. Other significant technical efficiency shifters are farming experience, family size and crop diversification. Owner operators are found to be technically inefficient relative to the tenants. Policy implications include creation of a hired labour market for female labour so that more women can be involved in the production process, and can contribute to towards improving productivity and efficiency. In addition, investment in education for both men and women, strategies to promote crop diversification and effective regulation/modification of the tenancy market will significantly improve technical efficiency in this case.     

Impacts of Vessel Capacity Reduction Programmes on Efficiency in Fisheries: the Case of Australia’s Multispecies Northern Prawn Fishery

Capacity reduction programmes, in the form of buybacks or decommissioning, have had relatively widespread application in fisheries in the US, Europe and Australia. A common criticism of such programmes is that they remove the least efficient vessels first, resulting in an increase in average efficiency of the remaining fleet, which tends to increase the effective fishing power of the remaining fleet. In this paper, the effects of a buyback programme on average technical efficiency in Australia’s Northern Prawn Fishery are examined using a multi‐output production function approach with an explicit inefficiency model. As expected, the results indicate that average efficiency of the remaining vessels was generally greater than that of the removed vessels. Further, there was some evidence of an increase in average scale efficiency in the fleet as the remaining vessels were closer, on average, to the optimal scale. Key factors affecting technical efficiency included company structure and the number of vessels fishing. In regard to fleet size, our model suggests positive externalities associated with more boats fishing at any point in time (due to information sharing and reduced search costs), but also negative externalities due to crowding, with the latter effect dominating the former. Hence, the buyback resulted in a net increase in the individual efficiency of the remaining vessels due to reduced crowding, as well as raising average efficiency through removal of less efficient vessels.