Jointness through vessel capacity input in a multispecies fishery

The success of regulations of multispecies fisheries may depend critically on understanding output dependencies correctly. An example is purse seine fisheries that target several species over the season but are specialized in the sense that each species are targeted individually. Such fisheries are typically modeled as either independent single species fisheries or using standard multispecies functional forms characterized by jointness in inputs. We argue that production of each species is essentially independent but that jointness may be caused by competition for fixed but allocable input of vessel capacity. We develop a fixed but allocatable input model of purse seine fisheries capturing this particular type of jointness. We estimate the model for the Norwegian purse seine fishery and find that it is characterized by nonjointness, while estimations for this fishery using the standard models imply jointness.     

The contribution of genetics to milk composition: evidence from Spain

This article focuses on the role that genetic progress may play in improving milk quality. Despite important genetic advances in dairy production, the absence of genetic records in farm management databases has precluded empirical production models from explicitly accounting for differences in genetics across herds. The influence of genetics on milk composition is analyzed by splitting milk production into protein, fat, and other components. The article explores some modeling issues associated with the specification of the effect of genetics in this multi‐output technology framework. In particular, genetic indexes are considered as allocable inputs and the remaining inputs as nonallocable. Our results show that genetics have a significant impact on milk composition. In particular, we find that farmers’ income increases by 6.6% when genetic indexes are augmented by one sample standard deviation.     

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.     

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 economics in the presence of risk*

This paper provides an overview of the literature on production under the influence of risk. Various specifications of stochastic production function such as models with additive and multiplicative uncertainty, Just and Pope model, output‐cubical, state‐allocable and state‐general models are discussed. Further, criteria determining optimal producer behaviour are derived for deterministic production technology and for various kinds of state‐contingent technologies such as output‐cubical, state‐specific, state‐allocable and state‐general technologies. Finally, a brief discussion is presented about the drawbacks of each of these specifications of technology.     

Determinants, differentiation, and development of short-term marginal costs in dairy production: an empirical analysis for selected regions of the EU

This work provides evidence on the determinants, cost differentiation, and development of short‐term marginal costs of dairy farms in important production regions of the European Union. The empirical study is based on the estimation of multi‐input multi‐output Symmetric Generalized McFadden cost functions using an unbalanced panel data set of the European Farm Accountancy Data Network. The results show considerable regional differences in the impact of the outputs, input prices, and fixed factors on marginal costs. Strong evidence can be found that marginal costs decrease over time and is further underlined by the development of derived regional aggregated short‐term supply curves. Marginal cost elasticities and correlation coefficients validate the hypotheses that a high degree of farm specialization, large milk output, and low milk prices are associated with lower marginal costs. Furthermore, the marginal cost spread in the data sample is analyzed. We show that milk output, milk yield, herd size, labor input, and fodder production can be attributed to significant marginal cost differentiation of farms, whereas for crop and animal output, grassland, stock of other animals, and depreciation only minor differentiation can be found.     

Biodiversity Conservation and Productivity in Intensive Agricultural Systems

This paper explores the economic effects of biodiversity loss on marketable agricultural output for intensive agricultural systems, which require an increasing level of artificial capital inputs. A theoretical bio‐economic model is used to derive a hypothesis about the effect of the state of biodiversity on the optimal crop output both in the longer run and in the transitional path towards the steady‐state equilibrium. The hypothesised positive relationship between biodiversity stock and optimal levels of crop output is empirically tested using a stochastic production frontier approach, based on data from a panel of UK specialised cereal farms for the period 1989–2000. The results support the theoretical hypothesis. Increases in biodiversity can lead to a continual outward shift in the output frontier (although at a decreasing rate), controlling for the relevant set of labour and capital inputs. Agricultural transition towards biodiversity conservation may be consistent with an increase in crop output in already biodiversity‐poor modern agricultural landscapes.     

Impacts of prices and transactions costs on input usage in a liberalizing economy: evidence from Tanzanian coffee growers

Despite improvements in production incentives, agricultural output in Africa remained sluggish through the 1990s. Low use of purchased inputs may be part of the cause of persistently low productivity in African agriculture. This article analyzes the roles of relative prices and transactions costs in explaining low use of chemical inputs among Tanzanian coffee growers. A sample selection model indicates that output prices exert great influence on input purchases and that both fixed and variable transactions costs affect input use decisions. Travel costs in input and output markets have distinct effects on input usage, implying distinct avenues for interventions to promote more intensive use of agricultural inputs.     

Heterogeneity of Long‐run Technical Efficiency of German Dairy Farms: A Bayesian Approach*

In parametric efficiency studies, two alternative approaches exist to provide an estimate of the long‐run efficiency of firms: the dynamic stochastic frontier model and the generalised true random‐effects model. We extend the former in order to allow for heterogeneity in the long‐run technical efficiency of firms. This model is based on potential differences in firm‐specific characteristics and in firms’ inefficiency persistence. The model is applied to an unbalanced micro‐panel of German dairy farms over the period 1999 to 2009. Estimation of long‐run technical efficiency and inefficiency persistence is based on an output distance function representation of the production technology and estimated in a Bayesian framework. The results suggest that heterogeneity in long‐run technical efficiency of farms is mostly attributed to discrepancies in farm‐specific factors rather than differences in farms’ inefficiency persistence. Farm size is positively related to long‐run technical efficiency while subsidies exert a negative effect on the long‐run technical efficiency of farms. Inefficiency persistence is found to be very high, but heterogeneity in this persistence is low.     

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.     

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.     

Specialization,diversification, and productivity: a panel data analysis of rice farms in Korea

This article examines the microeconomics of productivity associated with specialization/diversification in production activities, with an application to Korean rice farms. Korean rice farms tend to be very small and highly specialized. Our analysis examines the productivity effects associated with both farm size and farm specialization/diversification in Korean agriculture. Relying on farm‐level panel data, the analysis studies farm productivity in a multi‐input multi‐output context, accounting not only for changes in inputs and technical change in rice production, but also for the role of diversification in the production of other crops in current and previous periods. We find positive but small productivity gains from farm diversification. These gains come mostly from complementarity effects across farm outputs, with minimal effect of scale economies. The positive complementarity effects work against nonconvexity effects, which provide strong productivity incentives for rice farms to specialize.     

Diseconomies of Size with Fixed Managerial Ability

Managerial ability has important implications for farm growth. In this article we first show in a production model that increasing output with a fixed level of managerial ability can lead to a decrease in profits. Next, we discuss the effect that managerial ability has on economies of size. In the empirical part, economies of size are estimated for a sample of dairy farms using a proxy for managerial ability, which is calculated as a technical efficiency index. The results show that increasing farm size while holding managerial ability constant can be an important source of diseconomies of size.     

Population growth,agricultural intensification,induced innovation and natural resource sustainability: An application of neoclassical growth theory

Using a simple neoclassical type growth model including both man-made and natural capital as inputs to production, the theoretical basis for a U-shaped relationship between agricultural intensification and farm household investment in renewable resource capital is established. As development of technology, infrastructure, or markets increase the relative return to investment in man-made capital over natural capital, resource depletion occurs as man-made capital is substituted for lower return natural capital. Once returns are equalized, both man-made and natural capital are accumulated. If labor and these forms of capital are complementary, the output effects outweigh the substitution effects in the long run, leading to net accumulation of natural as well as man-made capital as a result of such technological or market development. Population growth also induces investment in both man-made and natural resource capital in the long run by increasing their marginal products. However, population growth causes declining per capita levels of both natural and man-made capital and production per capita in the long run, if technology is fixed and decreasing returns to scale. The model thus supports the Boserupian argument of induced intensification and resource improvement, as well as the Malthusian argument of the impoverishing effects of population growth. However, population growth may also induce development of infrastructure, markets, and technological or institutional innovation by reducing the fixed costs per capita of these changes, though these developments may not occur automatically. Government policies can play a large role in affecting whether these potential benefits of population growth are realized. In addition, credit policies may reduce resource degradation caused by substitution of man-made for natural capital, by allowing farmers to accumulate man-made capital (such as fertilizers) without depleting their natural capital. Policies to internalize the external environmental costs of using man-made capital will reduce both types of capital and production, indicating a clear trade-off between addressing environmental concerns on the one hand and reducing poverty and promoting resource conservation investments on the other. By contrast, internalizing the external benefits of investments in resources increases wealth and production per capita in the long run. The ‘intertemporal externality’ due to a higher private than social rate of time preference does not justify interventions to promote investments in resource capital; rather it argues for the promotion of savings and investment in general.     

Impacts of Norwegian Milk Quotas on Output Growth: A Modified Distance Function Approach

Quota regulations that prevent output expansion of farms and reallocation of output between farms can cause lower growth in output and productivity. The aim of this study was to explain the output growth rate of Norwegian dairy farms since 1976, and to decompose it into output, input, socioeconomic and technical change components. Instead of using the standard distance function approach for multi‐output technologies, we use a growth rate formulation, which automatically removes the farm‐specific effects. This formulation also helps to impose non‐negativity constraints on marginal products of inputs (input elasticities), which are often violated for many observations, especially when flexible functional forms are used. The farm‐level panel data cover three periods: before the quota scheme was introduced (1976–1982); the period with the most output‐restricting quota scheme (1983–1996); and the period with a more flexible quota scheme (from 1997 onwards). Results show that the milk quota regulations had a significant constraining effect on output growth, in particular on milk output in the period 1983–1996. Furthermore, the output mix has shifted towards meat production for the average farm. What emerges from this study is that output growth and technical change are negatively influenced by policy aims where productive performance has not been the primary objective, and that there is scope for increased farm growth if the quota regime is liberalised.     

Are Kansas farms profit maximizers? A stochastic additive error approach

Profit maximization is widely assumed as a behavioral objective in agricultural economics research. This paper applies deterministic and stochastic tests to examine adherence of a sample of Kansas farms to the profit maximization hypothesis. A modification of Varian's stochastic method is developed to account for farms that have zero netput. Results indicate that none of the farms satisfy the joint hypothesis of profit maximization and nonregressive monotonic technological change under the deterministic case. Results support the existence of nonregressive technological change during the study period for the sample of Kansas farms. Using a rejection criterion of 10% for measurement error in quantity data, most of the sample of Kansas farms (81% based on the additive error model and 92% based on the proportional error model) adheres to joint hypothesis of profit maximization and nonregressive monotonic technological change. The consistency with profit maximization is stronger for those farms that do not enter and exit in the production of an output.     

Resource allocation and productivity of cereal state farms in Ethiopia

Using a translog production function, cereal production on state farms in Ethiopia between 1980 and 1985 was analyzed. The farms were found to be operating at constant returns to scale. Manual labor was under-utilized, while machinery and other modern inputs were over-utilized. Elasticities of substitution between labor and these over-utilized inputs were low.     

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.     

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.