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.     

Building Collaborative Relationships with Distributors in the Dutch Potted Flower and Plant Industry

Abstract

The objective of this paper is to discuss the impact of the information network and trust on collaborative relationships as well as the impact of the collaboration on the performance of suppliers (i.e., growers). Combining network and trust, growers can build collaborative efforts, namely joint action and the norm of flexibility. Network in this paper is analyzed in terms of its information that can support a supplier in coordinating the channel relationship. By means of trust, a grower and his distributor may have adequate mutual understanding and shared experience to creatively solve problems, set up effective planning and be flexible in the day-to-day management. The discussion is based on the network approach to channel relationships and considers elements of the transaction cost economics and marketing channels. One hundred seventy-five growers of the Dutch potted flower and plant industry answered the questionnaires about their relationships with distributors. This data was analyzed through structural equation modeling in Lisrel. The results show the safeguarding effects of the information network to encourage joint action and flexibility. Also, trust influences directly flexibility and indirectly joint action. Flexible growers achieve high profitability and growth rate. This study implies that the network and trust should be considered in making the decision about the degree of collaboration in a channel relationship. To achieve an efficient mechanism of coordination, managers need to draw special attention to the development and maintenance of trust and the network.     

The Impact of Direct Income Transfers of CAP on Greek Olive Farms’ Performance: Using a Non‐Monotonic Inefficiency Effects Model

We analyse the impacts of direct income transfers on the technical efficiency of Greek olive farms. We use a production frontier function and a non‐monotonic inefficiency effects model, which incorporates the influences of exogenous variables (subsidies, farm characteristics, etc.) on technical efficiency. The model is applied to 1995–2004 FADN data. The results show that direct transfers of the CAP had a negative and monotonic effect on technical efficiency, whereas the degree of specialisation had a non‐monotonic effect on technical efficiency.     

Competitive forces affecting capacity decisions of South Dakota feedlot operations

A strategic management framework for the analysis of small and medium size firm behavior within a fragmented industry structure is developed. This literature predicts falling profits in the long run will drive out less efficient firms as the industry consolidates. This literature also predicts successful firms will engage in value-added production and/or adopt a cost reduction strategy to gain a competitive advantage through the development of niche markets. This framework is applied to the feedlot industry in South Dakota. A survey was conducted to collect feedlot operator responses on future capacity decisions. Empirical analysis identified linkages between future capacity decisions and competitive forces hypothesized in the agricultural management literature, which are responsible for driving consolidation in the U.S. feedlot industry. The survey also collected information on value-added production and management practices. These data were used to test the “niche market” hypotheses discussed in the strategic management literature. The analysis provides evidence that firms that engage in value-added practices have a lower probability of indicating they will decrease the capacity of their feedlot.     

Sources of Firm Performance Differences in the US Food Economy

Researchers in economics and strategy have long been interested in understanding the determinants of firm performance. We apply the relatively novel approach of hierarchical linear modelling (HLM) to a large panel of food economy firms to shed new light on the long‐standing debate about the relative importance of industry, corporate parent and business unit effects on firm profits. Our results suggest that business unit and corporate effects are more relevant than industry effects in explaining firm performance differences in the food economy. In addition, we also explore the effect of specific strategic factors on performance within each level of analysis. In particular, we find that business‐segment size, industry barriers to entry, corporate diversification, R&D intensity, capital intensity and resource availability are significant predictor variables that explain firm performance differences. Given the relatively important role of corporate effects and the positive influence of corporate strategic variables on business unit performance, our findings suggest that the environment provided by corporate parents significantly affects business unit profitability. In other words, corporate strategy does matter and thus should continue to draw attention from scholars interested in explaining profitability in the food economy.     

Investment Spikes in Dutch Greenhouse Horticulture

The presence of investment cycles demonstrates the long‐run policy of firms investing in particular periods (investment spikes) with lower or zero investment levels in between, which contradicts the smooth pattern predicted by a convex adjustment model. This paper investigates the spells between investment spikes in a discrete‐time proportional hazard framework to estimate the probability of observing lumpy investment and factors underlying lumpy and intermittent patterns of investment. Duration models were estimated on two datasets: on an unbalanced panel and on average data of 10 ‘firm size’ groups of Dutch greenhouse firms over the period 1975–1999. Two specifications of the model were estimated: one includes only theoretically grounded variables, and the other specification is extended by empirically grounded variables. Theoretically based models can explain the occurrence of investment spikes. Both specifications of model show an investment cycle of six years. This is also confirmed for the average firm, which exhibits a higher hazard ratio in the 6th, 12–13th and 21st years of duration.     

The Source of Productivity Growth in Dutch Agriculture: A Perspective from Finance

In corporate finance, the impact of capital structure on firm performance has been widely studied. This article extends the capital structure study to the situation in agriculture, explicitly addressing the difference between family farms and corporate firms. We use the Malmquist productivity growth index as a proxy for performance to study the impact of capital structure (debt) on farm performance. We compare the results with those from the traditional performance model that uses profitability (e.g., return on equity (ROE)) as performance measure. Using data from Dutch arable farms, results show that debt has no effect on ROE, whereas it has a positive effect on productivity growth.     

Evaluating irrigation investments in Malawi: economy‐wide impacts under uncertainty and labor constraints

Irrigation expansion is critical to increase crop yields and mitigate effects from climate change in Sub‐Saharan Africa, but the low profitability has led to little irrigation investments in the region so far. Using an integrated modeling framework, we simultaneously evaluate the returns to irrigation arising from both economic and biophysical impact channels to understand what determines the profitability of irrigation in Malawi. Our results confirm that the returns to irrigation cannot cover the costs in Malawi. While labor‐intensive irrigation expansion leads to unfavorable structural change in the short‐run, the profitability hinges on low irrigated yields that fall far from expectations due to insufficient input use and crop management techniques. On the other hand, we find that the nonmonetary benefits of irrigation regarding higher food security, lower poverty, and reduced vulnerability to climate change make investments in irrigation worthwhile to improve the livelihoods of smallholders.     

Adding value to spatially managed inputs by understanding site-specific yield response

Many mechanized crop producers and agribusinesses are fascinated with precision agriculture technology, but adoption has lagged behind the expectations. Among the reasons for slow adoption of precision agriculture technology is that initial users focused excessively on in‐field benefits from variable‐rate fertilizer application using regional average fertilizer recommendations. This article illustrates how greater use of site‐specific crop response information can improve variable rate input application recommendations. Precision agriculture is spatial information technology applied to agriculture. The technologies include global position systems (GPS), geographic information systems (GIS), yield monitoring sensors, and computer controlled within‐field variable rate application (VRA) equipment. Experimentation with these technologies is occurring everywhere there is large scale mechanized agriculture. Commercial use has been greatest in the US, where 43% of farm retailers offered VRA services in 2001. Except for certain high‐value crops like sugar beet, farmer adoption of VRA has been modest. The farm level profitability of VRA continues to be questionable for bulk commodity crops. The theoretical model and illustration presented here suggest that VRA fertilization has not yet reached its profitability potential. Most VKA field trials to date have relied upon existing state‐wide or regional input rate recommendations. Unobserved soil characteristics can potentially interact with an input to make its effect on yield vary site‐specifically within fields. Failure to use site‐specific response functions for VRA applications may lead to a misallocation of inputs just as great as that which results from using uniform applications instead of VRA. Agricultural economists have a long history of estimating output response to input applications. Several have started to develop tools to estimate site‐specific responses from yield monitor and other precision agriculture data. Likewise, agricultural economists have developed an important body of research results on information value based on managing variability—typically in temporal settings. With these tools, a major potential exists to develop further benefits from precision agriculture technologies that permit truly spatially tailored input applications.     

Microdata: a critical source for policy evaluation

The FLINT project (Farm Level Indicators for New Topics in policy evaluation) was aimed at testing the feasibility of collecting data on the sustainability performance of farms through the European Farm Accountancy Data Network (FADN). The project defined a list of sustainability themes based on an assessment of policy needs, the existing literature and a review of national initiatives to measure sustainability. Data were collected in nine Member States (Finland, France, Germany, Greece, Hungary, Ireland, the Netherlands, Poland and Spain) from 1,100 farms of different types. Although some problems were encountered, mainly due to the initial pilot project character of FLINT, we conclude that data collection is feasible, whatever the way a Member State has organised its data collection for FADN. The FLINT project has investigated options for upscaling the results from 9 to 28 Member States to create a representative panel with farm‐level sustainability data. This leads to the conclusion that the most attractive option is to reduce the current FADN sample in order to provide the sustainability data that are urgently needed for improved policy evaluation. This could be done without sacrificing information on other important indicators, such as income from farming.     

The heterogeneous farm‐level impact of the 2005 CAP‐first pillar reform: A multivalued treatment effect estimation

This article aims to evaluate the impact of the 2005 reform of the Common Agricultural Policy (CAP) on farm production choices as a treatment effect (TE). This impact is measured through alternative metrics of the short‐term changes of the output vector. The heterogeneity of the response to the reform is assessed by estimating both average and quantile TE. As this heterogeneous response may depend on the different farm‐level CAP support, a multivalued treatment approach is adopted and applied to treated units (i.e., supported farms). This approach is applied to a balanced panel of Italian FADN farms observed over years 2003–2007. Results show that the 2005 reform of the first pillar of the CAP actually had an impact in (re)orienting short‐term farm production choices but this response is largely heterogeneous and concentrated in the lower levels of support.     

Geographical downscaling of outputs provided by an economic farm model calibrated at the regional level

There is a strong need for accurate and spatially referenced information regarding policy making and model linkage. This need has been expressed by land users, and policy and decision makers in order to estimate both spatially and locally the impacts of European policy (like the Common Agricultural Policy) and/or global changes on farm-groups. These entities are defined according to variables such as altitude, economic size and type of farming (referring to land uses). European farm-groups are provided through the Farm Accountancy Data Network (FADN) as statistical information delivered at regional level. The aim of the study is to map locally farm-group probabilities within each region. The mapping of the farm-groups is done in two steps: (1) by mapping locally the co-variables associated to the farm-groups, i.e. altitude and land uses; (2) by using regional FADN data as a priori knowledge for transforming land uses and altitude information into farm-groups location probabilities within each region. The downscaling process focuses on the land use mapping since land use data are originally point information located every 18 km. Interpolation of land use data is done at 100 m by using co-variables like land cover, altitude, climate and soil data which are continuous layers usually provided at fine resolution. Once the farm-groups are mapped, European Policy and global changes scenarios are run through an agro-economic model for assessing environmental impacts locally.     

Non‐Parametric Modelling of CO2 Emission Quota

Dutch glasshouse firms are facing the introduction of a system of tradable CO₂ emission quotas. This paper employs a non‐parametric method for modelling tradable CO₂ emissions of Dutch glasshouse firms. The method is capable of generating shifts in CO₂ emissions across the sample of firms. Moreover, changes in volumes of outputs produced and inputs used are computed. Results show that firms using a conventional heating technology will be net purchasers of CO₂ emissions, whereas firms using more advanced heating technologies will sell part of their emission quota.     

The growth of family farms in Hungary

The article investigates the validity of Gibrat's Law for Hungarian family farms using FADN data collected between 2001 and 2007. Gibrat's Law states that the growth rate of firms will be independent of their initial size. Regression results allow us to reject Gibrat's Law for all quantiles. Evidence suggests that smaller farms tend to grow faster than larger ones. Results do not support the hypothesis of “disappearing middle” in Hungarian agriculture. We study a number of socio‐economic factors that can help to explain farm growth. We find that total subsidies received by a farm and the farm operator's age are the most significant factors correlated with farm growth.     

Simultaneous Estimation of Cost and Distance Function Share Equations

The study considers the simultaneous estimation of share equations using cost and distance functions. Simultaneous rather than single system estimation utilizes full as opposed to limited information. Econometric results exploit the nonstationary nature of the data and that variables are cointegrated. Under cointegration all variables are endogenous and so it is not necessary to undertake the somewhat ad hoc exercise of choosing instruments to achieve parameter consistency. Johansen's maximum likelihood estimator is applied to data from Central Canada and Western Canada (1935–2006). Symmetry and homogeneity restrictions are not rejected for either region. Monotonicity held for all data points and concavity held at 92% of the data points. Long‐run constant returns and Hicks neutral technological change are rejected for both regions. Morishima elasticity estimates coming from the cost function in Western Canada indicate highly elastic long‐run substitution between the land/fertilizer input pair and mildly elastic long‐run substitution between land and both machinery and labor. In contrast, substitution for land and other inputs is inelastic for the land/machinery pair and the land/labor pair, with only the land/fertilizer pair being mildly elastic. The results indicate the limiting nature of land as a fundamental constraint on long‐term agricultural production is a real possibility in Central Canada because other inputs are inelastic, or at best only mildly elastic, substitutes for land. In Western Canada, fertilizer is the only factor that is highly substitutable for land and, therefore, could mitigate the limiting nature of land in that region. However, given that fertilizer applications are often considered to be environmentally unfriendly, the long‐run substitution of fertilizer for land as a fundamental mitigating factor to land scarcity in Western Canada is at a cost to the environment.     

Farmer-to-farmer technology diffusion and yield variation among adopters: the case of improved cowpea in northern Nigeria

This article examines the magnitude and sources of yield variation among adopters of improved cowpea varieties in northern Nigeria promoted through farmer‐to‐farmer diffusion. The results reveal important efficiency differences between the lead farmers who have contacts with breeders and the follower farmers who get technology and information from the lead farmers. Differential adoption of the package of seed, insecticide, fertilizer, and recommended cereal‐cowpea cropping pattern provides much of the explanation for yield variation among adopters. The component often missing, and hence accounting for much of the yield variation, is the crop management technology relating to the cereal‐cowpea cropping pattern. No efficiency variation is attributed to the source of technology and information, such as whether improved cowpea was obtained from breeders or lead farmers. Technology source has a rather indirect influence on efficiency through its effect on package adoption where breeders promote greater package adoption among the lead farmers than the lead farmers do among the follower farmers. Possible ways of disseminating crop management technological information through the farmer‐to‐farmer technology diffusion are recommended to better exploit the yield and profitability potentials of improved cowpea varieties in northern Nigeria.     

Comparative Efficiency of Family and Corporate Farms: Does Family Labour Matter?

We examine the comparative efficiency of family relative to corporate farms, using FADN data for the Czech Republic, Hungary, Romania and Spain. We estimate a non‐parametric non‐separable farm production function, and derive efficiency scores for both family and corporate farms. We decompose efficiency into two distinct sources – organisational differences and management capabilities. We find evidence for organisational efficiency gains from family farming, relative to corporate farming, and these appear to increase with family involvement. However, with regard to management capabilities, family farms do not compare so favourably. Furthermore, family involvement does not seem to have any systematic effect on the efficiency derived from management capabilities. Our findings suggest that further investigation of the way family farms employ and build management capabilities is needed to substantiate any ‘superiority’ claims.     

CAP Subsidies and Productivity of the EU Farms

The paper investigates the impact of the Common Agricultural Policy (CAP) subsidies on farm total factor productivity (TFP) in the European Union (EU). We employ a structural semi‐parametric estimation algorithm directly incorporating the effect of subsidies into a model of unobserved productivity. We empirically study the effects using the Farm Accountancy Data Network (FADN) samples for the EU‐15 countries. Our main findings are clear: subsidies impact negatively on farm productivity in the period before the decoupling reform was implemented; after decoupling the effect of subsidies on productivity is more nuanced and in several countries it turned positive.     

Is public investment complementary to private investment in Indian agriculture? Evidence from NARDL approach

The issue of complementarity between public farm investment and private farm investment in Indian agriculture is an unsettled empirical question in the literature, which has not been studied adequately. Few studies analyzing the trends of both types of investments have produced contradictory results. Thus, this study attempts to bridge that gap, by examining the hypothesis of crowding‐in/crowding‐out effect of public sector investment on private investment. Time series data for a period of 45 years from 1971 to 2015 has been used. Adopting a ‘nonlinear auto‐regressive distributive lag’ (NARDL) model the study confirms a strong crowding‐in effect of public investment on private investment in short run, but relatively a weak complementarity between the two over long‐run. Moreover, the public canal intensity as a major component of public investment has been observed to have much stronger effect on private investment than the public investment itself. It is also found that private investment is constrained by its own lagged values, institutional credit and terms of trade during both short‐run and long‐run. The policy suggestion of this study calls for an immediate arrest of declining trend of public investment.     

Persistence of firm‐level profitability in the European dairy processing industry

Based on autoregressive (AR) models and Arellano‐Bond dynamic panel estimation, this article analyses profit persistence in the European dairy processing industry. The sample comprises 590 dairy processors from the following five countries: Belgium, France, Italy, Spain, and the United Kingdom. The AR models indicate that cooperatives which account for around 20% of all firms in the dairy processing sector are not primarily profit oriented. In addition, the results point toward a high level of competition as profit persistence is rather low even if cooperatives are excluded. The panel model reveals that short‐ as well as long‐run profit persistence is influenced by firm and industry characteristics.