Estimating a Primal Model of Regional Crop Supply in the European Union

This article estimates behavioural parameters of the quadratic regional supply models in the modelling system CAPRI. Using the time‐series data in the CAPRI database, we directly estimate the optimality conditions using a Bayesian highest posterior density estimator. After discarding regions with insufficient data, parameters for up to 23 crop production activities with related inputs, outputs, prices and behavioural functions are estimated for 219 regions in EU‐27. The results are systematically compared with the outcomes of other studies. For crop aggregates (e.g. cereals, oilseeds, etc.) at the national level, the estimated own price elasticities of supply are found to be in a plausible range. On a regional level and for individual crops, the picture is much more diverse. As far as we know, there is no other study of similar regional and product coverage.     

Sense and sustainability revisited: the limits of total factor productivity measures of sustainable agricultural systems

Many economists have advocated and applied total social factor productivity (TSFP) (i.e., total factor productivity estimated with both market and non‐market inputs and externalities, and with all factors valued at social prices) as a single all‐embracing measure of agricultural sustainability. This paper reviews the conceptual and practical issues in measuring TSFP and shows that no one measure alone will be theoretically or empirically robust as an indicator of sustainability. TSFP is a conceptually flawed measure since inclusion of non‐market inputs and outputs and social price‐based valuation, in most cases, violates the theoretical basis underlying those estimates. Trends in TSFP also have limited value in diagnosing the nature of sustainability problems, unless changes in productivity are related to underlying changes in technology, human and physical infrastructure, and indicators of resource quality. More attention needs to be given to defining key indicators of agro‐ecosystem health and relating these measures to trends in productivity. This analysis must be sufficiently disaggregated and for a long enough time period to allow for spatial and temporal variability inherent in agricultural production. Secondary data at the district level on both conventional inputs and outputs and resource quality have recently allowed more quantitative estimates of sustainability and its causes. With limited data, yield growth decomposition analysis can often be used to provide valuable insights into sustainability problems. Meanwhile, there is a need to invest in long‐term experimental and panel surveys of farmers and their fields for key production systems in order to provide long‐term data that will allow full productivity accounting, using more formal statistical procedures. Regardless of the approach selected, the findings of this paper strongly suggest a need for economists, agronomists and soil scientists to collaborate in integrating approaches in order to provide more robust and informative measures of sustainability.     

PRODUCTIVITY GROWTH IN AGRICULTURE (REVISITED): A MEASUREMENT FRAMEWORK AND SOME EMPIRICAL RESULTS

This paper explores the methodology of sectoral productivity growth measurement within the framework of input-output analysis. A method which ensures that sectoral productivity growth rates are consistent with productivity growth rates for the economy as a whole (as well as allowing for external trade) is suggested. New estimates are presented on total factor productivity in UK agriculture using a Tornqvist index procedure. In addition, new estimates of agricultural labour productivity growth are presented, taking account not only of labour employed in agriculture but also of labour employed in ancillary industries on the supply side. The empirical results confirm that part of the labour previously employed on farms has shifted “upstream” to industries providing agriculture with fertilises, machinery and other inputs.     

Decomposition of gender differentials in agricultural productivity in Ethiopia

A number of studies document gender differentials in agricultural productivity. However, they are limited to region and crop‐specific estimates of the mean gender gap. This article improves on previous work in three ways. First, data representative at the national level and for a wide variety of crops is exploited. Second, decomposition methods—traditionally used in the analysis of wage gender gaps—are employed. Third, heterogeneous effects by women's marital status and along the productivity distribution are analyzed. Drawing on data from the 2011–2012 Ethiopian Rural Socioeconomic Survey, we find an overall 23.4 percentage point productivity differential in favor of men, of which 13.5 percentage points (57%) remain unexplained after accounting for gender differences in land manager characteristics, land attributes, and access to resources. The magnitude of the unexplained fraction is large relative to prior estimates in the literature. A more detailed analysis suggests that differences in the returns to extension services, land certification, land extension, and product diversification may contribute to the unexplained fraction. Moreover, the productivity gap is mostly driven by non‐married female managers—particularly divorced women—; married female managers do not display a disadvantage. Finally, overall and unexplained gender differentials are more pronounced at mid‐levels of productivity.     

Towards the development of a transferable set of value estimates for environmental attributes

Estimates of environmental values are frequently required as inputs to cost-benefit analyses when evaluating alternative options for managing natural resources. One strategy to avoid the high cost of conducting empirical work when non-market values are involved is to use value estimates from an existing source study and to transfer them to the target context of interest (a practice known as benefit transfer). However, the transfer of values is subject to a host of potential errors and could lead to significant overestimation or underestimation of welfare change. The present paper reports the results of a choice modelling study in which household values for the impacts of land and water degradation in Australia are estimated. A key objective of the present study was to test the validity of transferring estimates derived in a national context to different regional contexts. On the basis of these test results, inferences are made about the impact that differing contexts have on value estimates. The scale of value differences across the different contexts provides a guide for calibrating benefit transfer estimates.     

Economic impacts of climate change on the Australian dairy sector

We analyse the economic implications of climate‐driven pressures on the pasture‐based dairy sector in Australia. We use an integrated assessment model that includes a climate scenario generator, a climate‐biophysical response framework and an economywide analytical framework. For the climate scenario generator, we use data from the OzClim database of the Commonwealth Scientific and Industrial Research Organisation. For the climate‐biophysical response framework, we use the DairyMod model with inputs of changes in climate variables from OzClim to quantify climate change effects on pasture growth and productivity. For the economywide analytical framework, we use the National Integrated Assessment Model to quantify the economic implications of these effects on the dairy sector. The simulated pattern of regional changes in dairy output is not a simple function of the changes in dairy productivity. Our results show that the relative size of productivity changes across regions affects the relative competitive advantage of dairy‐producing regions. Several factors affect the regional distribution of simulated dairy‐output changes, including substitution among sources of dairy output and competition for inputs like supplementary feed. An increased output in regions with moderate reductions in dairy productivity may occur because the severely climate‐affected regions absorb the greatest loss in output.     

Gender differences in agricultural productivity: the case of Tanzania

The article examines gender differences in agricultural productivity using panel data for Tanzania. At the national level, there is weak evidence of mean differences in productivity between male and female plots, but conditional on manager characteristics, plot characteristics, inputs, and crop choice, plots managed solely by a woman are consistently found less productive than all other plots. An Oaxaca‐Blinder‐type decomposition reveals that important factors explaining the gender differential are plot area and family labor. Women are able to obtain higher yields on smaller plots farmed with less male labor and more female labor and thus cover the gender gap in productivity at the aggregate level, but there are still significant unobservable factors which contribute to widening the gap.     

Irrigation water productivity in Cambodian rice systems

Knowledge of the marginal productivity of water is crucial for decisions about its allocation between uses, which is particularly important in the context of increasing competition for water. Using primary, plot‐level panel data, this article estimates the marginal productivity of water from supplementary irrigation in lowland rice systems in Cambodia, taking into account farmer and plot heterogeneity as well as self‐selection of supplementary irrigation. Our estimates indicate a range of elasticities for rice output with respect to water inputs of between 0.057 and 0.069 for wet season production, substantially lower than previous estimates based on either aggregate or trial data. We discuss the policy implications of these results, in particular with respect to the utility of demand management policies and the challenges they pose to the decentralization of water management to Farmer Water Users Groups.     

Measuring the production efficiency of alternative land tenure contracts in a mixed crop-livestock system in Ethiopia

In this paper, we test the hypothesis that land held under varying configurations of property rights will be farmed at different levels of production efficiency. Production data were collected from 477 plots in a fairly productive, mixed fanning system in the Ethiopian highlands. Interspatial measures of total factor productivity, based on the Divisia index, were used to measure the relative production efficiency of three informal and less secure land contracts (rented, share-cropped and borrowed) relative to lands held under formal contract witli the Ethiopian government. Although the informally-contracted lands are farmed 10-16% less efficiently, the analysis indicates that farmers of such lands actually apply inputs more, rather than less, intensively (i.e., more inputs per unit of land). The gap in total factor productivity thus results from the inferior quality of inputs (or lack of skills in applying them) rather than a lack of incentive to allocate inputs to mixed crop-livestock farming. For this reason we find no empirical basis to support the hypothesis that land tenure is a constraint to agricultural productivity.     

Intertemporal and Interfirm Heterogeneity: Implications for Pesticide Productivity

This paper presents evidence concerning the existence and implications of heterogeneity effects for estimates of the marginal productivity of pesticides, The paper extends the work of Calpentier and Weaver (1996a), which considered fured effects that homothetically shift the conditional mean of output. This paper considers the implications of time-varying marginal productivity, allowing for nonhomothetic shifts in production. The extent and structure of heterogeneity found in French crop agriculture is first presented to illustrate that persistent heterogeneity exists across these firms. Next, we review the implications of such heterogeneity for econometric estimates and show that estimates of marginal productivity of pesticides will be biased when based on models that do not explicitly account for these types of heterogeneity across firms and time. An alternative estimation approach is proposed, based on Chamberlain (1982 and 1984) and implemented to produce asymptotically unbiased estimates and to statistically validate the model specification. Existence of fixed firm effects is statistically confirmed and temporal variation of marginal productivity is found to be substantial.     

Rice production response in Cambodia

This study estimates rice production response using the Cambodia Socioeconomic Surveys conducted in 2004 and 2007. The results indicate that agricultural productivity is far below its potential and can be increased substantially by using modern technology and inputs such as fertilizer and irrigation. Our findings also suggest that the Cambodian government needs to design its investment strategy to improve rural infrastructure, including irrigation, transportation, and electricity, in order to increase its agricultural production and productivity and boost farmers’ income.     

Distributional heterogeneity in climate change impacts and adaptation: Evidence from Indian agriculture

This study estimates the distributional heterogeneity in the effects of climate change on yields of three major cereal crops: rice, maize, and wheat in India using district-level information for the period 1966–2015. We distinguish between the effects of changes in growing season weather from those due to changes in long-term climate trends and the heterogeneity in these effects across the distribution of crop yields by estimating naïve and climate penalty inclusive models using fixed-effect quantile panel models. We observe an absence of adaptation against rising temperatures for rice and wheat. However, we find a statistically significant presence of adaptation for wheat and maize for changes in precipitation, though the magnitude is small. Moreover, we find that the effects are asymmetric, and are larger at the lower tail of productivity distribution and smaller at the upper tail of the distribution. A 1°C increase in temperature lowers rice and wheat productivity by 23% and 9%, respectively at the first quantile, but the damage is only 6% and 5% at the ninth quantile. Heterogeneity in impacts and adaptation estimates over the yield distribution curve and across crops suggests the importance of customizing strategies for adaptation to changing weather and climate conditions across regions, crops, and current productivity levels.     

Measuring public agricultural research and extension and estimating their impacts on agricultural productivity: new insights from U.S. evidence

This article provides new estimates of the marginal product of public agricultural research and extension on state agricultural productivity for the U.S., using updated data and definitions, and forecasts of future agricultural productivity growth by state. The underlying rationale for a number of important decisions that underlie the data used in cost‐return estimates for public agricultural research and extension are presented. The parameters of the state productivity model are estimated from a panel of contiguous U.S. 48 states from 1970 to 2004. Public research and extension are shown to be substitutes rather than complements. The econometric model of state agricultural TFP predicts growth rates of TFP for two‐thirds of states that is less than the past trend rate. The results and data indicate a real social rate of return to public investments in agricultural research of 67% and to agricultural extension of 100+%. The article concludes with guidance for TFP analyses in other countries.     

CONSTANT-QUALITY PRICE INDICES FOR AGRICULTURAL INPUTS: TRACTORS AND FERTILISERS REVISITED

This paper employs the hedonic regression technique to construct constant-quality price indices and quality change indices for two agricultural inputs - tractors and fertilisers - over the period since World War II in the UK. The technique is described and related to productivity measurement in order to show its relevance for measuring price changes for inputs subject to technological improvement. Problems of application are discussed with reference to the two inputs. The constant-quality price indices derived for tractors and fertilisers are briefly compared with available ‘official’ price series     

Supply Management and Productivity Growth in Alberta Dairy

Specification of quota licenses as quasi-fixed inputs in a multi-variate flexible accelerator model of dynamic input adjustment reveals supply management's effect on Alberta dairy investment patterns and, thereby, on total factor productivity growth. Estimates of a dynamic dual model of Alberta dairy, using panel data from 1975–91, show that strong complementarity between cattle and quota licenses results in short-run cattle adjustments that are opposite in direction from the long-run adjustments. A model of total factor productivity growth under dynamic input adjustment shows that the distortions to cattle investment caused by investing in quota licenses adversely affects productivity growth. As a result, there is likely to be a significant understatement of single-period estimates of the cost of supply management in the dairy sector.     

Imported Intermediate Inputs and Firms’ Productivity Growth: Evidence from the Food Industry

Imported goods play a central role in determining the gains from trade. Using detailed trade and firm‐level data for Italy and France, we investigate the relationship between trade integration, imported intermediate inputs and firm performance in the food industry. Our main findings show that an increase in import competition spurs firm‐level productivity growth. Furthermore, the productivity growth effect attributable to imported intermediate inputs is significantly stronger than the effect due to imported final products. In addition, we find that new imported inputs are of particular importance, especially for Italian food firms, though less so for the French firms. Finally, the productivity growth effect of trade integration tends to be asymmetric across firms: more productive firms gain more from trade integration. These stylised facts have interesting policy implications.     

Productivity and Environmental Performance in Marketing Cooperatives: An Analysis of the Spanish Horticultural Sector

The paper analyses the productivity of marketing cooperatives incorporating environmental inputs/outputs. In the European agriculture, expectations for attaining sustainable and competitive agriculture rely to a great extent on the cooperative sector's ability to adapt to new market conditions. These challenges have led marketing cooperatives in the fruit and vegetables sector to consider improvements in productivity and sound environmental performance. The study analyses the total factor productivity related to environmental variables in this sector using a parametric‐stochastic approach and panel data on Spanish cooperatives over the period 1994–2002. Additionally, the determinants of environmental productivity are examined econometrically. The estimates obtained show an increase in efficiency for the period under study and a relationship between productivity changes and management factors, such as labour quality, capital intensity and environmental spillover.     

Farm-level efficiency and productivity measurement using panel data: wool production in south-west Victoria

In this article we explore some issues surrounding the use of farm-level efficiency and productivity estimates for benchmarking studies. Using an eight-year balanced panel of Victorian wool producers we analyse annual variation between estimates of farm-level technical efficiency derived using Data Envelopment Analysis and Malmquist estimates of Total Factor Productivity. We find that farms change their relative rank in terms of efficiency across years. Also, unlike aggregate studies of Total Factor Productivity, we find at best erratic and modest growth, a worrying result for this industry. However, caution is needed when interpreting these results, and for that matter, benchmarking analysis as currently practised when using frontier estimation techniques like Data Envelopment Analysis.     

LABOUR PRODUCTIVITY AND CONCENTRATION IN THE FOOD PROCESSING INDUSTRIES

The most obvious reason for studying labour productivity is that it can reasonably be regarded as one of the dimensions of market performance: firms which exhibit a high rate of increase of labour productivity are, other things being equal, “better” than firms with a low rate of increase. Similarly, concentration, a dimension of market structure, can be regarded as having normative implications. Although the selection of these variables as being worthwhile ones for study clearly rests on their value as normative indicators, the scope of this paper is essentially positive in content. Its purposes are: first, to provide estimates of changes in labour productivity and of changes in concentration in the food processing industries in the decade 1954-63; second, to attempt to test various hypotheses concerning the causes of different rates of change of productivity (including the hypothesis that increasing concentration has helped to raise productivity); and in conclusion to consider some of the possible effects of productivity changes.