Estimating Disequilibrium Cost Elasticities in Agricultural Production

A restricted cost function is estimated using annual data for western Canadian agriculture over the period 1961–84. Using the parameter estimates, disequilibrium cost elasticities are calculated. The elasticities for the sector indicate that the ex ante market prices of quasi-fixed inputs were higher than their shadow values. That is, quasi-fixed factors were underutilized during the sample period. Excess agricultural land contributed most to the cost of disequilibrium.     

SOME FEATURES OF FARM INCOME AND STRUCTURE VARIATIONS IN REGIONS OF THE UNITED KINGDOM

Farm income trends and developments in farm structure have varied within the UK in the last decade. While Wales and Northern Ireland have similarities in form structure, agricultural production has risen to a much smaller extent, and farmers have suffered more severe net income reductions, in Scotland and Northern Ireland than in England and Wales. The net incomes of Cropping farms rose faster and, in England, have remained much higher than those of Dairy or Livestock farms. Large numbers of small farm businesses depend on beef cattle and sheep production and have limited development prospects. As most of their occupiers are unlikely to find other employment, structural problems will persist and policy adjustments are suggested to enable agriculture to contribute more to the economy in remote and depressed localities.     

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.     

Inter‐ and intra‐seasonal crop acreage response to international food prices and implications of volatility

Understanding how producers make decisions to allot acreage among crops and how decisions about land use are affected by changes in prices and their volatility is fundamental for predicting the supply of staple crops and, hence, assessing the global food supply situation. This study makes estimations of monthly (i.e., seasonal) versus annual global acreage response models for the world's principal staple food crops: wheat, corn, soybeans, and rice. Primary emphasis is given to the magnitude and speed of the allocation process. Estimation of intra‐annual acreage elasticity is crucial for expected food supply and for input demand, especially in the light of the recent short‐term volatility in food prices. The econometric results indicate that global crop acreage responds to crop prices and price risks, input costs as well as a time trend. Depending on respective crop, short‐run elasticities are about 0.05 to 0.40; price volatility tends to reduce acreage for some of the crops; comparison of the annual and the monthly acreage response elasticities suggests that acreage adjusts seasonally around the globe to new information and expectations. Given the seasonality of agriculture, time is of an essence for acreage response. The analysis indicates that acreage allocation is more sensitive to prices in the northern hemisphere spring than in winter and the response varies across months.     

THE DEMAND FOR INPUTS AND THE AGGREGATE SUPPLY FUNCTION FOR AGRICULTURE*

This paper presents a theoretical derivation of aggregate supply elasticities from the relevant input demand elasticities. By way of illustration, an estimate of the aggregate supply elasticity with respect to product price for United Kingdom agriculture is calculated. In addition, the paper investigates the supply function that is implied by input demand functions which contain a geometrically declining lag distribution. The paper concludes by suggesting that the indirect estimation of aggregate supply elasticities may well be preferable to direct estimation of the elasticities.     

THE CONSTANT DIFFERENCE OF ELASTICITIES FUNCTION WITH APPLICATIONS TO THE EC ANIMAL FEED SECTOR

Unlike those flexible functional forms which are local approximations, the ‘Constant Difference of Elasticities’ (CDE) function is globally well-behaved. Due to its properties and parsimony in the number of parameters, the CDE functional form offers many potential applications. Two empirical applications are presented. First, aggregate CDE input demand functions are specified and estimated econometrically for the feed concentrate markets in Denmark, Ireland and the United Kingdom. The second empirical application illustrates how a matrix of compensated price elasticities can be obtained with only a priori knowledge of its direct and diagonal elements. The suggested approach exploits some of the properties of the Allen elasticities of substitution associated with the CDE functional form.     

Best Management Practices and the Production of Good and Bad Outputs

Agricultural activities simultaneously produce good and bad outputs. A translog cost function is used to evaluate the cost associated with reduction of chemical runoff and how it is influenced by the scale of crop and animal production. The results show that reducing runoff entails increasing costs and that these costs decrease with the level of crop production, but are unaffected by the level of animal production. The estimates of the cost elasticities of Best Management Practices (BMPs) were all positive, but many have large standard errors that imply that the true elasticities can be much lower or much higher. Also, the cost elasticities decrease with the scale of crop production for most BMPs whereas the scale of animal production has the opposite effect for crop rotation and herbicide control practices. Our results reaffirm that there are economies of size in production. L’agriculture produit de bons et de mauvais extrants. Une fonction de coût translog est utilisée pour évaluer les coûts associés à l’amélioration de la qualité de l’eau en réduisant les problèmes de ruissellement et de transfert de nutriments. Nous évaluons comment ces coûts changent avec les niveaux des productions animales et de cultures. Nos résultats indiquent que la réduction des transferts de nutriments est coûteux mais que l’élasticité-coût décroit avec la valeur des cultures produites tout en étant indépendant de l’envergure de la production animale. Les élasticités-coût associés aux pratiques environnementales (PE) sont positives et ont de grandes erreur-types, ce qui veut dire que les vraies élasticités peuvent être beaucoup plus grandes ou plus petites. Les élasticités-coût pour la plupart des PE diminuent avec la production de cultures produit tandis que la taille de la production animale a un effet contraire sur les élasticités pour la rotation de cultures et le contrôle des herbicides. Nos résultats confirment qu’il existe d’importantes économies de taille à exploiter en agriculture.     

Input Substitution,Productivity Performance and Farm Size

This paper develops a theoretical model to examine the relationship between the input elasticity of (technical) substitution and both farm total factor productivity and size. In the presence of ongoing technical change and its factor bias, the ‘income effect’ arising from farms' cost minimising behaviour enables them to increase productivity by saving inputs or, through the dual equivalent, enlarging farm size. As such, farms with higher elasticities of substitution tend to grow larger and become more productive, which provides a new mechanism through which farm heterogeneity in productivity growth can be examined. Empirical evidence from Australian broadacre agriculture supports this theory and points to important policy implications.     

SUPPLY RESPONSE IN THE AUSTRALIAN EXTENSIVE LIVESTOCK AND CROPPING INDUSTRIES: A STUDY OF INTENTIONS AND EXPECTATIONS*

Most of the supply elasticity estimates reported for Australian agriculture are derived from equations estimated using time series data and incorporating ad hoc assumptions about price expectations. The authors' aim is to compare previously obtained supply elasticity estimates with those derived using theoretically more acceptable survey data on both producers' intentions and price expectations. Surveys were conducted in three regions in N.S.W., namely, the Southern Tablelands, the South-West Slopes and a portion of the Western Division centred on Cobar. The results of the research show that there are no major differences between the supply elasticities derived using the traditional time series approach and those obtained using the survey data. This finding is reassuring, given the cost of collecting survey data.     

A PLANTING FUNCTION FOR PRIVATE AFFORESTATION IN NORTHERN IRELAND

Due to food surpluses, farming throughout the EEC has been put under increasing pressure to diversify. In line with this general trend, the Forest Service of the Department of Agriculture in Northern Ireland has endeavoured to increase the acreage under private afforestation. A knowledge of the responsiveness of private plantation to changes in grant aid and the time-scale involved in the reallocation of land towards afforestation is essential. This paper constructs a planting function, based on distributed lag structures, for private afforestation projects in Northern Ireland in an attempt to provide the relevant information.     

International Supply Response

Long-run aggregate agricultural supply elasticities obtained from conventional supply functions fitted to time series data tend to be relatively inelastic in the range of 0.1 to 0.4. I argue that these estimates substantially understate the true long-run supply response in agriculture. Because of the lack of international input price data, implicit output/input price ratios are estimated from a production function assuming profit maximization. The estimation of an aggregate supply function utilizing these price ratios yields long run aggregate supply elasticities in the range of 0.90 to 1.19. These figures are substantially larger than those obtained from conventional supply functions fitted to time series data, but correspond closely to estimates reported in an earlier crosscountry study that used different price data for different points in time. The results imply that policies which distort domestic and/or world market prices of agricultural products cause greater output distortions in both the DCs and LDCs than are predicted by the small supply elasticities obtained from conventional supply estimation.     

MEASURING PRODUCTIVITY GROWTH IN AUSTRALIAN BROADACRE AGRICULTURE

An important source of growth for Australian broadacre agriculture has been technical progress. We compare alternative measures of productivity growth including the traditional Tornqvist-Thiel total factor productivity index; variants of this approach that allow decreasing returns to scale; the Fisher ideal index; other nonparametric measures that do not impose particular functional forms and an econometric estimate from a translog industry cost function. The annual growth in productivity in broadacre agriculture over the period from 1953 to 1994 was in the range of 2.4 to 2.6 per cent and hence was quite robust to measurement technique.     

Food Demand in Russia: Heterogeneous Consumer Segments over Time

The Russian food system has undergone substantial changes. However, knowledge on how economic transition has affected the structural parameters of food demand is lacking. Based on a two‐stage LES‐LA/AIDS model and annual panel data from the Russia Longitudinal Monitoring Survey (1995–2010), we provide a comprehensive set of food demand elasticities for Russia along two dimensions. First, we estimate demand parameters for three characteristic time periods in order to trace changes during transition. Second, to account for the Russian population's diversity, we derive elasticities for five different consumer segments. These groups are established by a cluster analysis based on households' food purchases. Our findings suggest that demand for food is far from satiated in Russia. We find generally high unconditional expenditure and own‐price elasticities for food. Both expenditure and own‐price elasticities show slight decreases in absolute terms over time. Low expenditure elasticities for staple foods like bread or cereals and high values for luxury goods such as meat, alcohol and tobacco suggest considerable changes in the composition of food baskets with further income growth. Results indicate that food production at home loses in importance while more affluent households in particular increase their demand for food consumption away from home.     

AGRICULTURAL PRICE PROTECTION,IMPORT DEPENDENCE AND ECONOMIC DEVELOPMENT: THE CASE OF WHEAT

This article analyses determinants of agricultural price protection for one important food, wheat, in a pooled cross-country and time-series analysis. For the aggregate sample it is shown that wheat price protection increases with a rising level of economic development and with a growing import dependence in wheat. Beyond this general pattern, the paper shows that the variation in wheat price protection can be significantly better explained if qualitative variables are introduced additionally into the model. For example, in Japan, in the Northern European countries and during the commodity price boom (1973–75), wheat price protection followed a specific pattern. Income elasticities and import-dependence elasticities of wheat price protection are computed for all countries in 1968–80, and additionally for various sub-regions and sub-periods.     

Econometric mathematical programming: an application to the estimation of costs and risk preferences at farm level

This study belongs to the barely explored research strand of “Econometric Mathematical Programming” and presents a simultaneous estimation of the cost function and of the farmers’ risk attitude parameter in a programming model setup. Resource and policy constraints of the model are allowed to be not binding. We use crop shares as decision variables to avoid scale bias and we consider price and crop yield variances separately. The model is formulated as a bi‐level programming model and the empirical application concerns three unbalanced panels of specialized arable farms observed for at least three consecutive years in Northern Italy, in the Cologne‐Aachen area in Germany and in the Grandes‐Cultures area in France over the time period 1995–2007. We achieve a quite satisfactory fit in the estimation exercise and find own and cross price elasticities from sensitivity experiments in reasonable ranges. We also propose a novel approach to derive confidence intervals around parameter estimates for Econometric Mathematical Programming.     

PRICE-QUALITY RELATIONSHIPS FOR BEEF IN SMITHFIELD MARKET

Smithfield beef prices are regressed on quality measurements made on beef selling in Smithfield market. Optimal weight, conformation and fat levels are derived and the revenue foregone by not obtaining these optima is estimated for Scotch, English, Republic of Ireland and Northern Irish beef. For other quality characteristics Scotch beef is taken as the norm and the revenue foregone by not producing to Scotch standards is estimated for English, Republic of Ireland and Northern Irish beef. Differences in quality levels are found to explain only a relatively small proportion of the price gap which exists between Scotch beef and beef from the three other areas.     

Demand Elasticities for Fresh Vegetables in the United States

Abstract

Demand elasticities at retail level for eight major fresh vegetables in the United States were estimated with the Almost Ideal Demand System using annual data over the period 1960-1993. Results show that the demand for fresh vegetables was generally inelastic with respect to changes in own prices, and cross-price effects for most fresh vegetables were negligible. Furthermore, the study suggests demands for carrots, cucumbers, lettuce, peppers, and onions were highly elastic with respect to changes in expenditures on fresh vegetables. However, expenditure elasticities for celery and tomatoes were found to be inelastic, while the expenditure elasticity for cabbages was negative but statistically insignificant.     

Toward a green revolution in Africa: what would it achieve,and what would it require?

The current global food crisis has reemphasized the costliness of Africa's failure to achieve food security and poverty reduction. The instrument by which other more successful developing countries achieved these outcomes was a “Green Revolution” in agriculture. While previous research has provided largely discursive appraisals of the viability of an African Green Revolution, this article adopts a more rigorous methodology to address that question. First, an economy‐wide multimarket model, augmented with existing poverty–growth elasticities, is developed to assess the likely impacts of a rapid acceleration in food production (of the kind witnessed in previous Green Revolutions) on food prices, consumption and demand, farmer revenue, and poverty. Our results suggest that a rapid growth in staple production, together with more integrated regional markets, would reduce food prices by roughly 20–40% for consumers and 10–20% for producers among the major crops. This translates into a large rise in farm revenues, annual agricultural growth rates of 6.5% or higher, broader income growth and food security, and over 70 million Africans being lifted out of poverty. The article concludes by emphasizing the kinds of fundamental policy actions and resources that would be required for achieving these outcomes.     

EFFECTS ON FARM INCOMES AND RURAL LABOUR OF A RELATIVE INCREASE IN WAGES*

We use the concept of the elasticity of farm incomes with respect to changes in input prices to analyse the effects of a large increase in relative wages on selected measures of farm incomes. In order to estimate the elasticity of farm incomes we have to estimate elasticities and cross-elasticities of demand and supply for farm labour and capital. The estimates of elasticity of demand for operator and hired labour allow us to calculate the impact of a rise in wages on numbers of farmers and hired labour employed in agriculture.     

西安市都市农业高质量发展评价及对策研究

目的 通过构建都市农业高质量发展评价指标体系，具体测算西安市都市农业所处的发展阶段，对加快推动西安市农业高质量发展提供政策建议。方法 文章基于农业高质量发展的内涵和特征，选取经济、社会、生态、创新能力水平、开放程度水平5个一级指标和24个二级指标，构建了一套反映都市农业高质量发展的评价指标体系。运用变异系数法确定指标权重，并以西安为例，进行都市农业高质量发展综合指数计算，测算西安都市农业所处的发展阶段。结果 经过11年的发展，西安市都市农业发展水平综合指数从2009年的0.291增长到2020年的0.645，增长121.65%，年均增长8.01%。其中：都市农业的经济性指标增长181.41%，年均增长10.20%。社会性指标增长34.92%，年均增长2.79%。生态性指标增长51.23%，年均增长4.32%。创新能力水平增长-23.58%，年均增长-1.96%。开放程度水平增长155.80%，年均增长113.08%。经济性指标增长最快，反映出西安都市农业发展的质量。创新能力水平增长最慢，反映出西安都市农业发展有待提升。结论 西安市都市农业已进入日新月异的发展阶段，政府要加大对产业现代化发展的投资力度，进一步加大人才引进力度，注重农业新技术的研发和应用，同时，要继续坚守生态红线，充分挖掘西安都市农业的生态效益，实现生态生产生活“三生”共赢的现代化西安都市农业。