Testing for Dynamic Misspecification of Input Demand Functions: An Application to Canadian Agriculture

Previous applications of the inter-temporal quadratic adjustment cost model in agriculture have failed to consider information gained from pre-testing in choosing an appropriate specification for dynamic demand of quasi-fixed inputs. A test strategy is outlined taking account of this information in order to consistently estimate adjustment cost and discount rate parameters. Canadian agricultural data are used in the empirical analysis. Test results suggest that the intertemporal quadratic adjustment cost model is inappropriate for modeling dynamic demand for land, labor and machinery.     

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.     

A Dynamic Adjustment Model for U.S. Agriculture: 1948-79

A multioutput model is developed within the adjustment cost framework to analyze the structure of dynamic adjustments in U.S. agriculture during the post-war period. An important feature of this model is that the econometric model is consistent with dynamic economic theory. Fluctuations in capital stocks, variable inputs, and outputs are explained by changing opportunity costs. Empirical results indicated that durable equipment, farm-produced durables, and family labor exhibited significant rigidity in adjustment as a response to exogenous shocks. Surprisingly, the hypothesis that real estate was a variable input could not be rejected. The univariate flexible accelerator hypothesis, which is widely maintained in most agricultural adjustment studies, is inconsistent with the data.     

The dynamics of household beef consumption in Cameroon

Recent changes in economic conditions have introduced notable changes in household beef consumption patterns in Cameroon. While consumers are concerned about the short- and long-run effects of these factors on beef consumption habits, policy makers are more worried about the appropriate period necessary for households to make complete adjustments in consumption since this information is vital for planning production. Static and dynamic demand frameworks involving the Nerlovian partial adjustment (PA) model are used to capture the dynamic nature of beef consumption parameters. Maximum likelihood estimates of the PA model reveal that the conditioning variables explain 79% of the variation in beef consumption. Income, previous consumption, own-price and prices of fish and pork are jointly important in explaining beef consumption habits. Beef is a normal good with pork and fish as substitutes and chicken as a complement. Long-run price and income elasticities are greater than but not significantly different from their short-run values, suggesting that adjustment in consumption is fast with about 80% of the difference between actual and ‘desired’ consumption being completed in about 2 years. Projections show that demand for beef will reach 109620 t by the year 2000. giving an incremental total and per capita demand of 31 730 tons and 1.84 kg, respectively.     

On the nature and magnitude of cost economies in hog production

In this article, we assess the impact of farm size on production cost and evaluate the marginal costs and margins by considering that input prices may change with the scale of production. By using French hog farm data, we estimate a system of equations including a feed price function, input demand functions, and an output supply function based on a technology approximated by a combined generalized Leontief‐Quadratic form. Our results suggest that the marginal costs are over‐estimated when the adjustment of the feed unit prices to a change in farm size is not controlled for. More specifically, the cost economies for large farms (enjoying the highest profits) arise primarily from lower feed prices, with technological scale economies having little impact. In contrast, farms with no hired labor exhibit technological scale economies and reach higher price‐cost margins compared to larger farms.     

Cost Efficiency for Alberta and Ontario Dairy Farms: An Interregional Comparison

In this study, two non-homothetic translog stochastic meta-frontier cost functions—with and without local concavity imposed—are estimated using a nonlinear maximum likelihood estimation procedure to compare the cost efficiency of Alberta and Ontario dairy farms for the period 1984–96. The resulting cost efficiency estimates are not very sensitive to whether or not curvature is imposed. In contrast, the properties of the cost and input demand functions (e.g., elasticities) are sensitive to imposition of local concavity during estimation. The implication is that if an inappropriate model that does not satisfy the properties required by the economic theory is used, the estimated input demand functions may not be reliable. Average cost efficiency for the pooled sample, with local concavity imposed, is approximately 89%. This suggests some potential for improved performance in the sector. The results also suggest that Ontario dairy farms may be more cost efficient than Alberta dairy farms, but the statistical evidence is inconclusive.     

DYNAMIC INTERRELATED DEMAND FUNCTIONS FOR FACTORS OF PRODUCTION AND THE AGGREGATE PRODUCTION FUNCTION IN UNITED KINGDOM AGRICULTURE

Taking the price situation as given in product and factor markets, a non-linear differential equation model of gross output, employment, capital accumulation, and gross input for united Kingdom agriculture is derived by incorporating internal adjustment cost functions into the representative decision-maker's objective function, and estimated using a discrete approximation. The results are consistent with efficient use of resources, but further incentives for capital investment and a greater exodus of labour could upset this. Adjustment costs as estimated account for 2.6 per cent of the value of output; those associated with net investment for 1.8 per cent, and those associated with employment and gross input for 0.57 and 0.23 per cent respectively.     

Price and quantity adjustment in a dual character market The case of the Greek poultry sector

In this paper we set up, estimate and test a short-run model for the poultry sector in Greece. The model allows for the simultaneous existence of a monopolistically competitive and a competitive segment, and determines producer and consumer prices, and the quantity consumed. We provide evidence on steady-state parameters such as demand and supply elasticities, as well as on speeds of adjustment of prices and quantities. The evidence suggests that adjustment is very rapid, although quantities appear to be adjusting more quickly than prices. The model is used to examine the dynamics of adjustment to demand and supply-side disturbances.     

Dynamic Area Allocation and Economies of Scale and Scope

This article applies the adjustment cost framework to the case of area allocation by simultaneously determining the levels of input demand and output supply. Dynamic measures of economies of scale and scope are defined for output‐specific areas. An application to a rotating sample of Dutch cash crops reveals that farmers have a strong incentive for specialisation, but that large adjustment costs for area allocation resulting in small adjustments toward the optimal level prevent them from doing so.     

Bayesian Estimation and Selection of Nonlinear Vector Error Correction Models: The Case of the Sugar-Ethanol-Oil Nexus in Brazil

Nonlinear adjustment toward long-run price equilibrium relationships in the sugar-ethanol-oil nexus in Brazil is examined. We develop generalized bivariate error correction models that allow for cointegration between sugar, ethanol, and oil prices, where dynamic adjustments are potentially nonlinear functions of the disequilibrium errors. A range of models are estimated using Bayesian Monte Carlo Markov Chain algorithms and compared using Bayesian model selection methods. The results suggest that the long-run drivers of Brazilian sugar prices are oil prices and that there are nonlinearities in the adjustment processes of sugar and ethanol prices to oil price but linear adjustment between ethanol and sugar prices.     

我国葡萄生产空间布局特征研究

随着葡萄育种、栽培及管理技术的提高,我国葡萄种植已由传统的优势产区发展到全国各省区都有种植,特别是南方产区葡萄的生产持续快速增长,使得全国葡萄生产布局发生了较大变化,因此在新形势下研究我国葡萄生产布局特征,把握葡萄生产变迁特征与规律,对于合理地配置农业生产资源、优化调整葡萄产业空间布局与规划,具有重要的现实意义。文章首先从宏观角度系统分析了我国葡萄生产的阶段特征与全国层面生产布局的变迁,其次利用微观层面的农户调研数据、比较了不同产区间葡萄生产投入与产出的区域特点及其差异;接着引入空间自相关性指标,采用Moran’s I指数,在Arc GIS中选取基于边界的空间权重矩阵定义,从全局与局部自相关角度分析了葡萄生产投入产出的空间特征及其与地理位置之间的相互依赖关系与驱动因素。研究结果表明,我国葡萄生产呈现明显的"西迁"、"南移"的发展趋势;葡萄生产投入与产出指标具有明显的区域差异性;受葡萄产业内部与外部因素的驱动,其分布体现出显著的空间自相关性,其中全局空间自相关定量测算结果显示我国葡萄生产存在空间正相关性,即相邻地区葡萄生产的投入与产出指标具有相似性,且空间自相关性在逐年加强;局部空间自相关指数显示我国葡萄投入与产出的低值聚集区主要分布在陕甘宁与内蒙古地区,而高值聚集区主要分布在江浙沪一带,进一步表明,地理因素通过经济发展水平与农业生产结构等方面因素影响着葡萄产业的发展。     

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.     

Wholesale Demand for Fish in Greece

Inverse demand systems explain price variations as functions of quantity variations. This article presents a dynamic inverse almost ideal demand system (AIDS) model based on recent developments on cointegration techniques and error correction model. The case of fish landed at Greek seaports appears to suit this model well. The results indicate that the underlying distance function is homothetic whereas the own-quantity flexibilities suggest that the responses of price to own-quantity changes are inelastic. Finally, the results of cross-quantity uncompensated flexibilities suggest that the substitution possibilities among fish grades are rather limited. The Allais interaction intensities verified the substitutability among fish grades as well.     

A Family of Differential Input Demand Systems with Application to Greek Agriculture

This paper develops a family of input demand systems via alternative parametrisations of Theil's differential model. Each member of this family is as flexible as any other locally flexible functional form. More importantly, selection among the competing family members is possible via simple parameter restrictions. The family of differential input demand systems is applied to the agricultural sector in Greece for the period 1961–96. Formal tests suggest that the model with the CBS-type effects dominates the alternative models. Divisia and price elasticities are calculated from the selected model and a decomposition of changes in the demand for inputs into technical change, total input volume, substitution, and residual effects is performed. The empirical results are quite reasonable. Overall, the analysis in this paper indicates that, in certain cases, the differential approach may provide an attractive alternative to the dual approach in modelling production behaviour.     

Scale Effects and Mark-ups in the US Food and Fibre Industries: Capital Investment and Import Penetration Impacts

Capital investment patterns and import penetration are often alleged to influence firms' costs and prices, and thus economic performance. We examine the impacts of these factors on measures of scale economies, input demand/composition, and market power in the US food and fibre industries. Flexible variable cost functions incorporating quasi-fixity of three categories of private (internal) capital and two external technological and trade (import) factors represent the cost structures of the two industries. Pricing equations, based on inverse demand functions including import prices, represent output decisions. Cost and demand elasticities constructed from this model indicate reduced manufacturing costs from technical and trade, scale and capital effects. This increased cost efficiency arises largely from materials savings in the textiles industry and reduced labour use in the food industry. Mark-up behaviour is exhibited for most of the sample period in the textiles industry, and neither industry appears heavily affected by import prices.     

Short‐run and long‐run dynamics of farm land allocation: panel data evidence from Denmark1

This study develops and estimates a dynamic multi‐output model of farmers’ land allocation decisions that allows for the gradual adjustment of allocations that can result from crop rotation practices and quasi‐fixed capital constraints. Estimation is based on micro‐panel data from Danish farmers that include acreage, output, and variable input utilization at the crop level. Results indicate that there are substantial differences between the short‐run and long‐run land allocation behaviour of Danish farmers and that there are substantial differences in the time lags associated with different crops. To our knowledge, this is the first dynamic micro‐model of land allocation estimated on data from the temperate climate zone. Since similar farming conditions are found in northern Europe and parts of the United States and Canada, this result may be of wider interest.     

农业产出增长的结构分解及与服务业融合发展研究

目的 在加快推进农业现代化的背景下,研究农业产出增长分解及其与服务业产业融合,对深入推进农业结构性改革以及加快培育农业农村发展新动能具有重要意义。方法 文章以2007年、2012年和2017年中国地区投入产出表中数据为研究样本,通过核密度分析、结构分解分析与归因矩阵分析,考察农业产出的动态变迁,分解产出增长的主要因素,量化农业与服务业产业融合状况。结果 （1）我国农业整体呈现产出增长与区域布局调整的动态趋势,农业产出增长的主要动力由各省份的内部需求扩张效应转变为国内需求扩张效应;（2）技术水平变化对西部省份农业产出的增长作用显著;（3）出口扩张效应并不显著,最终产品与中间产品的外部流入对我国农业增长的挤出作用扩大;（4）农业与服务业产业融合主要体现在需求侧融合,仍需加强农业与服务业供给侧融合。结论 促进农业供给适应需求变化,进一步优化农业区域布局,加快发展农业生产性服务业,塑造参与农业国际合作竞争新优势。     

A Cost Function Approach to Dynamic Duality: An Application to the US Cigarette Manufacturing Industry

The dynamic duality econometric approach with the case of multiple outputs is applied to the US cigarette manufacturing industry to test for the presence of adjustment costs and quasifixed inputs with regard to stocks of capital and tobacco. Capital and tobacco stocks are found to be quasi-fixed inputs and the empirical results indicate that there are significant adjustment costs associated with adjusting these inputs. Short- and long-run own- and cross-price elasticities of factor demands are estimated for domestic and imported tobaccoes, materials, tobacco stocks, and capital. Output demand elasticities are also estimated. The two outputs, cigarettes produced for export and for the US market, are examined for equality of marginal costs. No evidence of differences in marginal costs was found. There is evidence that government restrictions on advertising have negative effects on output demand.     

Ex-ante agricultural research evaluation with site specific technology generation: the case of sorghum in Kenya

Agricultural commodity research has very site-specific productivity impacts. Crucial determinants of the magnitude and distribution of research benefits include agroecological conditions for technology generation and adoption, as well as commodity market-structure. This paper presents a process for ex-ante research evaluation which accounts for these factors with a dynamic, spatial multi-market model. Simulation results based on sorghum research in Kenya demonstrate that potential research benefits can vary dramatically research program research target zones. In Kenya, however, population-induced demand growth not technological development will have the greatest influence on future sorghum markets.     

The Dynamics of Individuals' Fat Consumption

Consumers are increasingly aware of the link between their lifestyle choices and the risk of noncommunicable diseases. A dynamic approach incorporating this linkage in food demand is developed, where consumers maximize utility over time by choosing fat intake to control their cumulative fat level. The resulting dynamic indirect utility function and household data on meat, fish, and dairy consumption are used to estimate a censored demand system. Results show that consumers consciously adjust, but not instantaneously, their cumulative fat level. Highly educated households have a faster rate of adjustment of cumulative fat. When cumulative fat level increases, consumers shift to dairy or white meat from red meat products.