Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach

Achieving sustainable food security and increased farm income will depend on how efficient production systems are in converting available inputs to produce outputs. Using data from Malawi, we estimate a Bayesian directional technology distance function to examine the relationship between farm size and technical efficiency. Our results support the existence of an inverse relationship between farm size and productive efficiency, where small farms are more efficient than large farms. On average, farms exhibit inefficiency levels of 60%, suggesting that productivity could be improved substantially. Improving productive efficiency and food security will require farms to operate in ways where the size of cultivated area is matched by nonland production inputs such as labor, fertilizer, and improved seeds. The results highlight the need for policies that could incentivize farmers to adopt productivity‐enhancing technologies and, where possible, to allocate excess land to lease markets.     

Market and Other Factors Affecting Farm Specific Production Efficiency in Pig Production in Vietnam

ABSTRACT

In developing country production environment, farm production efficiency is often measured in terms of on-farm resources and producer characteristics. In this paper we postulate that input and output market related factors also influence farm production decisions hence its efficiency. Stochastic frontier production function was used to assess technical efficiency and its determinants including input and output market variables for a sample of 1962 pig farms in Vietnam with data collected in 1999. There are significant differences in production behavior and efficiency level between the North and the South, among farms producing different breeds, between mixed and specialized farms, between household and commercial farms, and among producers located in different agro-ecological regions. Access to better output market, land size, herd size, and education of household head significantly reduced inefficiency, while access to government supplied inputs, age of household head, female headed households and family supplied crude feeds significantly increased inefficiency in both the regions. The direction of influence on efficiency differs between the two regions for access to credit, proportion of output sold at market rather than at farm gate and family labor supply. Generally, market related factors had more consistent influence on production efficiency in the South of Vietnam where the experience of market economics is longer compared to the North. Policy actions on providing better extension, more timely access to better quality inputs through the private sector, making credit more easily accessible to smallholders and opportunity to sell output at better priced secondary markets are expected to increase productivity and reduce inefficiency.     

Production costs and input substitution in Zimbabwe's smallholder agriculture

In this study, we estimate production costs and elasticities of factor substitution for Zimbabwean smallholders, using a dual (cost function) approach with detailed data on prices paid and received by each of 65 farms across six survey sites over two years. We find that 95% of observed farm choices are consistent with optimal input use, and that there is moderate substitutability between labor, biochemical inputs and capital. These results indicate that farmers can substitute between factors as relative prices change, particularly to increase labor use as the rural population grows. By stratifying our sample, we investigate the degree to which production costs differ among the socioeconomic groups, tsting for higher costs among female-headed households (who might be subject to gender discrimination), resource-poor farmers without their own draft animals (who might have less timely operations), and isolated farms far from paved roads (who might have less access to markets and information). We find significant support only for the paved-roads effect, indicating the importance of rural infrastraclure in determining production costs.     

Decomposition of output growth in the Tunisian olive-growing sector: A frontier production function approach

The aim of this paper is to investigate the relative contribution of technical efficiency, technological change, and increased input use to the output growth of the Tunisian olive oil growing farms, using a stochastic frontier production function approach applied to panel data for the period 1995-1997. The proposed methodology is based on the use of a flexible translog functional form. Results indicate that technical efficiency of production in the sample of olive producing farms investigated ranges from a minimum of 24.8% to a maximum of 84.6% with an average technical efficiency estimate of 48.5%. This suggests that olive producers may increase their production by as much as 51.5% through more efficient use of production inputs. Further, the production is characterized by decreasing returns to scale, which on average was 0.8. Finally, investigation of the sources of production growth reveals that the contribution of conventional inputs (labor, in particular) and technical change are found to be the main source of that growth, since total factor productivity increased during the study period, but at a slowing rate.     

Analysing Production Technology and Risk in Organic and Conventional Dutch Arable Farming using Panel Data

This paper compares the production technology and production risk of organic and conventional arable farms in the Netherlands. Just–Pope production functions that explicitly account for output variability are estimated using panel data of Dutch organic and conventional farms. Prior investigation of the data indicates that within variation of output is significantly higher for organic farms, indicating that organic farms face more output variation than conventional farms. The estimation results indicate that in both types of farms, unobserved farm‐specific factors like management skills and soil quality are important in explaining output variability and production risk. The results further indicate that land has the highest elasticity of production for both farm types. Labour and other variable inputs have significant production elasticities in the case of conventional farms and other variable inputs in the case of organic farms. Manure and fertilisers are risk‐increasing inputs on organic farms and risk‐reducing inputs on conventional farms. Other variable inputs and labour are risk increasing on both farm types; capital and land are risk‐reducing inputs.     

区域玉米生产成本影响因素的实证分析

[目的]运用1978~2016年全国各省玉米生产成本数据,对影响区域玉米生产成本变化的主要因素进行实证分析,并提出优化区域玉米生产成本的对策分析。[方法]将全国20个玉米种植省份划分为5个区域,在分析区域玉米生产成本演变特征的基础上,运用双对数线性回归模型,采用ADF单位根检测和Engle-Granger两步法协整检验法,对影响区域玉米生产成本的主要因素进行实证分析。[结果]物质资料投入、租赁作业投入、劳动力投入和生产规模是影响区域玉米生产成本变化的主要因素,其中,物质资料投入、租赁作业投入和劳动力投入与之呈正相关关系,生产规模则与之呈负相关关系;不同变量对不同区域玉米生产成本的影响程度有所不同,劳动力投入是影响程度最大的因素。[结论]劳动力投入和物质资料投入对全国各区玉米生产成本均产生显著影响,租赁作业投入和生产规模则主要对北方产区产生显著影响,对南方产区影响并不显著。据此,建议扩大玉米生产规模化程度;提高物质资料投入效率;优化农机具使用补贴结构。     

Outsourcing and efficiency: the case of Spanish citrus farming

Outsourcing in agriculture has traditionally been seen as a managerial strategy of smaller farms to achieve higher levels of efficiency. In this article, we provide empirical evidence supporting the existence of a positive relationship between outsourcing and efficiency in Spanish citrus farming. Outsourcing is measured by the proportion of outsourced labor and capital in farms' total use of these production factors, i.e., the higher the proportion of outsourced inputs, the higher the degree of outsourcing. Making use of data envelopment analysis techniques, we compute input‐specific reductions required to achieve technical efficiency at the farm level. Our results show that attainment of technical efficiency leads to a reduction in the use of both farms' own and outsourced production factors. Furthermore, the degree of outsourcing increases as farms move to their technically efficient productive plans. In addition, outsourcing labor and capital allows farms to achieve efficiency regardless of their size. In our view, this result has a clear implication for policy makers. Instead of trying to improve Spanish citrus farms' competitiveness by pursuing an increase of their average size, policy measures should be adopted to enhance farmers' managerial skills and the efficiency of those external service firms and co‐operatives that are effectively performing basic cultivation tasks.     

Linkages between the farm and nonfarm sectors at the household level in rural Ghana: a consistent stochastic distance function approach

This article explores the effects within households of an expanding rural nonfarm (RNF) sector in Ghana. We ask whether the growing RNF sector allows for economies of diversification within farms, how it affects household input demands, and whether it has measurable effects in overall household production efficiency. We explore the intrahousehold linkages between agricultural and RNF activities, first assuming perfectly competitive input and output markets and then with market failures, in particular missing labor and credit markets. We then measure these linkages using a household level input distance function, finding high levels of inefficiency in Ghanaian farms. Also, there are cost-complementarities between the RNF sector and the agricultural sector, particularly with food crops in which the poorest tend to specialize. The expansion of the RNF sector increases demand for most inputs including agricultural land. Finally, we show that smaller farms tend to be more efficient, and that RNF output is helping the farm household to become more efficient, but the latter result is not robust.     

An examination of economic efficiency of Russian crop production in the reform period

This article examines economic efficiency (EE) of crop production of Russian corporate farms for 1993–1998. EE declined over the period, due to declines in both technical and allocative efficiency. Technical efficiency (TE) results indicate that output levels could have been maintained while reducing overall input use by an average of 29–31% in 1998, depending on the method used, while the allocative efficiency (AE) results show that costs could have been reduced about 30%. The EE scores show that Russian corporate farms could have increased efficiency by reducing the use of all inputs, particularly fertilizer and fuel. Russian agriculture inherited machinery‐intensive technology from the Soviet era, which may be inappropriate given the relative abundance of labor in the post‐reform environment. Investment constraints have prevented the replacement of old machinery‐intensive technology with smaller scale machines that allow for a more labor‐using technology.     

Does nonagricultural labor relax farmers’ credit constraints? Evidence from longitudinal data for Vietnam

We examine the relationship between participation in nonagricultural labor activities and farming production decisions, focusing on the use of inputs. Using longitudinal data for Vietnam from 1993 to 1998, we find that households engaged in nonagricultural labor spend significantly more on seeds, services, hired labor, and livestock inputs. This is consistent with the hypothesis that nonagricultural labor income relaxes credit constraints to farming.     

The firm size,farm size,and transaction costs: the case of hazelnut farms in Turkey

This study analyzes the effects of transaction costs on the size of hazelnut farms in Turkey. The study finds that higher land slope and higher variance of rain, as transaction‐cost‐increasing natural effects, lead to smaller hazelnut land holdings. High slope and weather variation can increase the costs of monitoring the laborers, make moving inputs or output up and down harder, limit the use of machinery, and reduce contractual performance of labor contracts. For farm production functions, land is a complex input with measurable interactions with nature. Contrary to common production theory approaches that take natural properties of land as given, the study develops a production function that incorporates natural properties, such as, slope and rain variance. The study utilizes two separate data sets for the estimations. The first data set explores the characteristics of hazelnut farmers, while the second one analyzes the regional characteristics of hazelnut farms.     

Two Views of Efficiency in Indian Agriculture

The frontier profit functions and the optimum demand for hired labor are estimated separately for small and large farms to test the hypothesis of differential efficiency attributable to size and technology. The optimum demand for hired labor is compared against actual demand to measure efficiency in labor utilization, estimated for individual farms, under both certainty and uncertainty cases. The empirical results are based on 1969–70 farm-level data from Punjab and Haryana States in India. Small farm group is less efficient than large farms in achieving the frontier (maximal) profit. Under the profit maximizing behavior with certainty in production, both small and large farms acquired less than optimal amount of hired labor, but small farms acquired much less than large farms. Uncertainty in production, prices, and risk aversion on the part of farmers seems to discourage the demand for hired labor on the basis of estimates using the “safety-first” risk model. Small farms appeared to experience a higher degree of uncertainty measured by comparative variability in production. Even after adjustment for greater uncertainty and risk aversion, small farms remained less efficient in demand for labor, treating other inputs as fixed. Les fonctions frontaliéres de profit et la demande optimale pour la main-d'oeuvre ensasée sont estimées séparément pour des petites et grandes exploitations agricoles pour vérifier l'hypothése d'efficacité différentielle attribuable é l'importance de l'exploitation et à la technologie. La demande optimale pour la main-d'oeuvre engagée est com-parée contre la demande actuelle pour mesurer l'efficacité dans l'utilisation de la main-d'oeuvre. Cette demande est estimee pour des exploitations agricoles individuelles, dans les deux cas de certitude et d'incertitude. Les résultats empiriques sont basés sur les données au niveau d'exploitation agricole pendant les années 1969 è 1970 des Etats Punjab et Haryana de l'lnde. Un petit groupe d'exploitations agricolesest moins efficace que des grandes exploitations agricoles pour réaliser un profit (maximal) frontalier. Sous les manieres qui portent au profit maximum avec certitude de production, les petites et grandes exploitations agricoles toutes les deux obtiennent un montant d'engagés moins que optimal, mais les petites exploitations agricoles en obtiennent beaucoup moins que les grandes exploitations agricoles. L'incertitude de production, de prix, et l'aversion de risque de la part des fermiers semblent décourager la demande pour la main-d'oeuvre engagée en se ba-sant sur les évaluations qui viennent du modéle de risque “securité d'a-bord.” Les petites exploitations agricoles semblent expérimenter un plus haut degré d'incertitude mesurépar la variabilite comparativé de production. Même après l'ajustage pour une plus grande incertitude et l'aversion de risque, les petites exploitations agricoles demeurent moins efficaces pour la demande de main-d'oeuvre, traitant les autres entries comme fixes.     

Allocable fixed inputs as a cause of joint production: an empirical investigation

Leathers (1991) shows that while the existence of allocable fixed inputs can cause joint production (as in Shumway, Pope and Nash, 1984), it will not necessarily lead to joint production. The extent to which allocable fixed inputs cause joint production in agriculture is an empirical question. This paper offers an empirical answer. By estimating a short-run joint cost function, it is possible to identify levels of outputs for which joint production may be optimal in the short run but not in the long run. Only in these output regions will there be jointness caused by allocable fixed inputs. For the data in this paper (160 Wisconsin farms), these output regions are very small; thus allocable fixed inputs do not appear to be an important cause of jointness for these farms. Technical causes of jointness appear to be a significant cause of joint production.     

EFFETS DES FACTEURS DE PRODUCTION ET EFFETS RÉGIONAUX SUR LE REVENU AGRICOLE

Plusieurs explications du has niveau des revenus agricoles par tête mettent sur le même plan des variables appartenant à des corps théoriques distincts et dont I'effct s'exerce dans des temps opératoires différents. Le concept d'une function agrégée de production à niveau variable selon les régions permet de synthétiser un certain nombre de variables affectant la productivité du travail agricole et donc la partie du revenu agricole qui est d'origine agricole. Les mouvements le long de la fonction agrégée de production expliquent les différences inter-régionales de productivité imputables aux facteurs de production et aux économies d'échelle tandis que les déplacements de la fonction mesurent les effets régionaux des conditions naturelles et/ou du développement urbain et industriel. Appliquée aux agricultures du Québec et de I'Ontario, I'analyse économétrique dégage le rôle croissant des effets régionaux par rapport à celui des facteurs de production tandis qu'une analyse graphique illustre la relation entre scolarité et revenu. RESOURCE AND AREA EFFECTS ON AGRICULTURAL INCOME: This paper is an attempt to measure, describe and analyze interregional differences in value productivity of labor in Quebec and Ontario agricultures, in 1951 and 1961. Measurement reveals important and persistent differences in the average value productivity of labor between regions. The list of economic and non-economic variables which influence labor productivity and thus agricultural per capita income is a growing one and it Is not always stressed to what theoretical body they belong and within what period of time they operate. In his paper some of the economic variables which have a bearing on agricultural per capita income at a given point of time at the regional level have been synthetized through the concept of an aggregate production function whose level is allowed to shift from region to region. It is then possible to analyze the regional differences in labor productivity in terms of capital and intermediate inputs associated with labor on farms, of scale economies and regional effects. This approach pertains only to the agricultural source of the per capita income of farmers, it does neither explain their decisions with respect to the capital and intermediate inputs used nor the nature of the regional effects; it calls for a second stage of explanation where the adjustment of agriculture to economic growth would enter the picture. Results of fitting Cobb-Douglas functions to county averages per farm observations show that capital and intermediate inputs and scale economies explain most of the regional differences in labour productivity in 1951; in 1961 scale economies and regional effects are more important than capital and intermediate inputs. Regions at the periphery of the group of regions between Quebec and Ottawa are shifting away from the aggregate production function for the two provinces. This movement means that in 1961 comparative (dis)advantages have become more pronounced than in 1951. At the level of personal characteristics of farmers, a graphical analysis shows a relationship between average value productivity of labor at the regional level and the proportion of farmers in each region having more than elementary schooling. Implications for the income and poverty problems are that the capital/labor ratio, the intermediate inputs/labor ratio, scale economies and location are important determinants of agricultural per capita income.     

Transition and agricultural labor

Reforms have strongly affected agricultural employment in transition countries but in remarkably different ways. We present a theoretical model and an empirical analysis to explain differences in labor adjustment during transition. We show that the differences are due to a combination of variations in initial conditions and differences in reform policies and effects. The removal of price distortions and subsidies caused wage and price adjustments during transition and a reduction in labor demand in agriculture. Surplus labor outflow from agriculture was further stimulated by the privatization of the farm assets as they improve incentives and remove constraints for optimal factor allocation and structural adjustment. The shift to individual farms, which was especially strong in labor‐intensive production systems with low labor productivity in agriculture, has reduced the outflow of labor from agriculture by improving farm governance and labor efficiency, although this effect was mitigated by losses in scale economies due to disruptions and market imperfections in transition. In general, labor outflow was considerably lower on individual farms than on corporate farms, due to a combination of factors related to human capital, access to finance, and physical capital. In the last section of the article we present a general framework for understanding labor adjustments in transition countries. Specifically, we show that there are several patterns of labor transition. In one pattern, followed by, e.g., the Czech Republic and Hungary, there is initially a strong survival of the restructured large‐scale corporate farms that have laid off many workers. In the second phase of transition, gradually the importance of individual farms increases. In other countries, such as Romania, the opposite has happened. In these countries there is an immediate strong shift to individual farms, while labor use increases on average in agriculture. After this initial phase, the shift to individual farms continues, albeit more slowly, and labor use in agriculture starts to decline. Finally, our analysis shows that in countries such as Russia and Ukraine much of the surplus labor is still employed by little‐reformed former collective and state farms. Major adjustments await more progress in agricultural and general reforms.     

Input Disposability and Efficiency in Dutch Arable Farming

This paper develops a test for disposability of individual inputs based on non‐radial efficiency measures. Furthermore, the paper analyses the impact of congestion on overall technical efficiency for individual inputs. The application uses panel data from Dutch cash crop farms over the period 1989–1992. A significant difference between the efficiency measures under different assumptions on input disposability is detected by a t‐test, indicating that all inputs are weakly disposable. Analysis of the composition of overall technical efficiency reveals that weak disposability constitutes the largest component of inefficiency. Moreover, congested farms on average have a less effective management and operate on a larger, though less efficient, production scale.     

Productivity and farm size in Australian agriculture: reinvestigating the returns to scale

A positive relationship between farm size and farm productivity is often considered to be largely due to increasing returns to scale in farm production. However, using farm‐level data for the Australian broadacre industry, we found that constant or mildly decreasing returns to scale is the more typical scenario. In this study, the marginal returns to various farm inputs are compared across farms with different sizes. We found that large farms achieved higher productivity by changing production technology rather than increasing scale alone. The results highlight the disparity between ‘returns to scale’ and ‘returns to size’ in the industry, suggesting that productivity improvement among smaller farms can be made through increasing their ability to access advanced technologies, rather than simply expanding their scale.     

The Influence of Labor Price Change on Agricultural Machinery Usage in Chinese Agriculture

The substitution between rural labor and machinery has been a key determinant of farm production, structure, and efficiency in most developed countries and is expected to play a key role in shaping the future of Chinese agriculture. Using disaggregated farm‐level data from Hebei and Shandong provinces of China, we calculated the Allen and Morishima elasticities of substitution between labor and machinery. These elasticities were based on seemingly unrelated regressions and three‐stage least squares estimates of the translog cost function and input cost share functions. In contrast to previous studies, we dissaggregate machinery inputs into three categories: large, medium, and small. In addition, the issue of endogeneity in output quantity and input prices is also addressed. The results show strong evidence of substitution between labor and the three categories of machinery inputs. The findings also support substitution among the three categories of machinery themselves.     

Efficiency estimation in a profit maximising model using flexible production function

This paper uses a flexible (translog) production function to estimate efficiency of 227 farms from West Bengal, India. We consider estimation of technical and allocative inefficiencies using a profit maximising framework which accommodates both endogenous and exogenous inputs. The maximum likelihood method of estimation developed in this paper is based on the production function and the first-order conditions of profit maximisation. Farm-specific technical and allocative inefficiencies are also estimated. Empirical results show that the mean level of technical efficiency is 75.46% while the best farm is 85.87% efficient (technically). So far as allocative efficiency is concerned the majority of the farms are found to be under-users of the endogenous inputs, viz., fertiliser, manure, human and bullock labour.