Projecting meat and cereals demand for China based on a meta-analysis of income elasticities

There are many projections for China's food demand, and the projection results differ significantly from each other. Different values for income elasticities could be a major reason. This study projects meat and cereals demand for China based on a meta-analysis of the income elasticity estimates using a collection of 143 and 240 income elasticity estimates for cereals and meat products, respectively, from 36 primary studies. We find that income elasticities for most cereals (general cereals, rice, and coarse grains) and all meat products (general meat, pork, poultry, beef & mutton) tend to decline as per capita income increases, except for wheat, which increases. Taking this into account, differences between consumption projections based on time-varying income elasticities and values based on constant elasticities are substantial in quantities and increase over time.     

Farm credit and credit demand elasticities in Shaanxi and Gansu

This paper empirically estimates individual household credit demand elasticities based on 897 farm households surveyed in Shaanxi and Gansu provinces in the People's Republic of China (PRC) in October 2009. We used survey-based experimental techniques to extract individual household credit demand functions from which we estimated point demand elasticities. From a theoretical point of view, we proposed that as interest rates fell the demand for credit increased in elasticity, and this appears to hold in our data. We find a range of elasticities with mean point estimates of about ? 0.6. We find that nearly 20% of farm households have nearly perfectly inelastic demands for credit but we also find that nearly 20% have elasticities above ? 0.75 including some 15% that have elasticities greater than ? 1.0. Previous studies that have argued against credit policies because of the low inelasticity of demand do not generally hold. There is much heterogeneity in credit demand and we would argue that a full spectrum of targeted credit policies can be used to address differences across farms.     

Money demand in China and time-varying cointegration

Many studies analyze the money demand using a (fixed coefficient) cointegrating regression model, which may not be appropriate to deal with the money demand of a transition economy like China. This paper investigates this issue using a time-varying cointegration approach based on the quarterly data from 1996 to 2009. We find some interesting results: (i) the estimates of the income elasticities are between 0.60 and 0.75, which are comparable with the previous studies; (ii) the estimated interest rate elasticity supports the argument that the overall effect of the interest rate on the money holding is weak although there are some mild evidences that it has been strengthened in recent years; (iii) the substitution effect of equity asset dominates the wealth effect, especially, during the bullish market period. Our result is robust to the alternative choices of the scale or opportunity cost variables and shows that omission of the stock prices in the money demand function would possibly yield a misspecification problem.     

The Demand for Money in Brunei

Based on data for the 1974–95 period this paper estimates demand for narrow money and broad money in Brunei using the error-correction specification. Short-run and long-run elasticities are estimated with respect to real income, interest rate, expected price level and liquidity. Narrow money is quite responsive to changes in real income and interest rate in both the short and long terms. Broad money is income inelastic regardless of the time horizon, however, it is interest inelastic in the short run but interest elastic in the long run. Price elasticity of money demand is negligible in the short run but quite significant in the long run. Changes in the proportion of commercial bank assets placed in foreign money markets do not seem to affect demand for narrow money but their effect on the demand for broad money is both direct and significant.     

Substitutions among energy imputs in U.S. manufacturing

Summary and Conclusion With cross-section data on the purchases of four energy inputs by 11 U.S. manufacturing industries, Allen partial cross elasticities of input substitution and own price elasticities of demand were computed. The sample set represents 85 percent of total manufacturing energy demand in 1962. The substitution elasticities between fuel oil and natural gas, fuel oil and purchased electricity, and between natural gas and electricity, were statistically significant for about half of the 11 two-digit SIC industries studied. These elasticities ranged between 12.9 and 1.7 with half of them less than 4.0.Importantly, the elasticity of substitution between coal and the above three energy inputs was significantly different from zero in only three manufacturing industries (comprising some 35 percent of total manufacturing energy demand). Thus it would appear that only three U.S. manufacturing sectors will contribute towards the substitution of domestic for international energy sources. Indirect substitution between energy sources, with the consequent implications for the balance of payments, will primarily have to come from the substitution of electricity (from coal-fired plants) for natural gas (from Canada) and fuel oil (indirectly from the Middle East, Africa, and Latin America).Similar substitution results were found when all 11 industries were aggregated together or divided into large and small energy demand groups. As well, there appear to be no significant differences in overall substitution response between the two categories of large and small energy users. Supporting the substitution results, we found that the own price elasticity of demand for coal to be about –.5 and not different from zero while the price elasticities for natural gas, fuel oil, and purchased electricity were between –.7 and –2.67 (and statistically different from zero).As a general conclsuion, the substitution of domestic coal for other energy inputs will primarily have to come indirectly through greater use of coal to produce electricity which is purchased by the manufacturing sector. The scope for direct substitution of coal for other energy inputs in U.S. manufacturing is limited to only three sectors and cannot be expected to have an exceptionally large impact on mitigating the inflation and blanace of payments implications of the recent increases in the price of imported energy inputs.This work was undertaken at the Bureau of Economic Analysis. Discussions with George Green, A. Ray Grimes, Jr., Michael Mohr, John R. Moroney, Gorti Narasimham, and Benjamin Wolkowitz are acknowledged. These individuals, as well as the B.E.A. and the author's present employer, remain independent from the views expressed in this study.     

Are Chinese smokers sensitive to price?

We estimate cigarette price and income elasticities for urban China, 1995. We find an overall cigarette price elasticity of 0.5, which lies between previous estimates. This implies that a 10% increase in price would result in a decline in cigarette consumption of 4.5 billion packs and would raise Y34 billion in additional tax revenue.     

Block Rate Pricing of Water in Indonesia: An Analysis of Welfare Effects

Block rate pricing of piped water in Indonesian cities has a progressive structure: the marginal price paid increases with the volume of demand. This paper estimates household water demand in Salatiga city using the Burtless and Hausman model, and finds that its distribution is not unimodal—that data cluster around kinks. The main estimation results are a price elasticity of approximately–1.2 and an income elasticity of 0.05. These elasticities are mutually dependent. The estimated model is used to investigate the social welfare consequences of a shift to uniform pricing. The principal beneficiaries would be large households, which are not necessarily wealthy. While replacing the complex rate structure by a uniform marginal price would have positive effects on average welfare, the equity consequences would be small. To improve equity, water companies could reduce installation fees, giving low-income households access to water connections, or reinvest profits in network expansion to unserviced areas.     

Changing Elasticities of Labor Demand in U.S. Manufacturing

This paper provides a link between long-standing labor demand elasticity estimates in U.S. manufacturing and recent studies of wage patterns and labor demand shifts in response to technical change and international trade. We document asymmetric changes in labor demand elasticities including an absolute and relative increase in own-wage elasticity of demand for production workers. Separate estimates of substitution and scale responses imply that skill-biased technical change dominates increased product market competition as a source of the observed changes in labor demand elasticity.     

An Empirical Analysis of the Demand for Imports in Three CARICOM Member Countries: An Application of the Bounds Test for Cointegration

This paper provides fresh estimates of income and price elasticities of import demand in Guyana, Jamaica, and Trinidad and Tobago using a bounds test for cointegration. In addition, the paper also provides estimates of the consumption, investment, and exports elasticities of import demand. These latter elasticities were all found to be positive and statistically significant with values ranging from 0.16 to 0.55 in the long-run.     

Inconsistency in correcting for serial correlation in money-demand models

Conclusion Our results demonstrate that none of the estimated coefficients obtained by applying the Cochrane-Orcutt technique to partial-adjustment money-demand models is dependable: each of the parameter estimates is inconsistent. The estimated coefficients of the explanatory variables will be biased even in large samples and can thus lead to misleading inferences about the income and interest-rate elasticities of the demand for money. The views expressed are the authors' own.     

Testing the demand approach to reconstruct pre-industrial agricultural output

A common method to reconstruct historical national accounts is the demand approach, which calculates agricultural consumption from the development of wages and prices of agricultural and non-agricultural products assuming constant income, own price and cross price elasticities of demand. This study uses agricultural data for Sweden 1802–1950, which is more reliable than for other countries, to put the approach to test. Time series analysis shows that the demand approach could be modelled as a cointegrating relationship between per capita demand and the deflated wage. Income elasticity is estimated to +0.4. Using the estimated parameters to extrapolate Swedish agricultural consumption back to the Middle Ages accords quite well with other indicators. However, out-of-sampling shows that the 90% confidence interval is as large as ±0.15–0.25 natural logarithms.     

Income and Price Elasticities of Demand in South Africa: An Application of the Linear Expenditure System

This paper investigates the expenditure patterns of South African households using detailed cross‐sectional expenditure and price data that varies across region and time. Linear expenditure system parameter estimates are used to calculate income and price elasticities for a number of product categories at different points of the income distribution. We find substantial variation in the price and income elasticities of demand for items across the income distribution, with the bottom quartile being extremely sensitive to increases in the price of food and clothing items, and the top quartile being as sensitive as households in developed countries.     

Climatic impact on China's residential electricity consumption: Does the income level matter?

It is widely accepted that energy use contributes to climate change. However, climate change can also affect energy demand. There is ample proof in the literature that a feedback phenomenon exists. However, empirical evidence of its mechanism and operation in different contexts is missing. As China is the largest consumer of electricity worldwide, a detailed study of its energy consumption patterns would be insightful. Moreover, how the increasing income of Chinese residents affects the climate sensitivity of electricity demand is particularly relevant. Using data from 278 cities in China over the period 2005 to 2015, this study applies a newly developed technique, partially linear functional-coefficient panel data model, which enables disclosure of the role of income levels. The results indicate that climate change significantly stimulates residential electricity consumption in hot weather rather than in cold weather. Additionally, the level of income affects climate sensitivity. Specifically, an increase in income initially increases the marginal effect of cooling degree days (days on which building cooling is desired) on electricity consumption, but the curve of the marginal increment becomes flat as income growth increases further.     

Elasticities and factor weights for agricultural growth accounting: A look at the data for China

We review factor weight assumptions used in four studies of trends in total factor productivity (TFP) in Chinese agriculture, and factor elasticities estimated in 12 Chinese agricultural production function studies. We find that econometric estimates of the output elasticity of land typically exceed the upper bound weight for that factor used in the TFP studies. We illustrate the sensitivity of TFP trends to factor assumptions by showing that adopting average elasticities as factor weights leads to a less negative assessment of TFP performance in the collective period. We suggest directions for further progress in these studies.     

上海居民住房需求的收入弹性分析———基于家庭层面的微观分析

内容对居民住房需求行为的分析,尤其对住房需求收入弹性的估计,是我们分析住房市场现状及判断发展趋势的重要依据,也是住房政策制定的基础前提.但目前国内相关文献有限,以微观数据为基础的研究更少.本文以国家统计局统计调查队2007年对上海居民家庭的大样本抽样调查问卷为数据基础,运用两阶段模型来估计上海居民住房需求的收入弹性.两阶段模型,即指先通过对租买选择、住户持久收入的分析,再将由此得出的IMR比率(由住户的租买概率计算而得)引入住房需求模型,从而得出参数的估计值.我们发现,在住房市场中,对住房消费的主力人群———30-59岁的各个年龄组中,IMR均显著,说明上海居民租买选择与住房需求量是联合决策.在市场化住房市场中,我们估计的住房需求收入弹性,30-44岁年龄组为0.419,45-59岁年龄组为0.559,收入弹性随年龄上升而增大.同时本文也分析了市场化与非市场化住房市场需求弹性的差异,及租买选择如何随年龄而变化     

How Elastic is the Demand for Labour in Belgian Enterprises?Results from Firm Level Accounts Data, 1987–1994

This paper analyzes wage elasticities using a panel dataset of 2800 large Belgian firms over the period 1987–1994. We explore various functional forms and find that the short-run wage elasticity varies between –0.37 and –0.65, while the long-run elasticity is robustly estimated to be larger than 1 in absolute value. These results are striking for they are much higher than those reported in previous studies using macroeconomic time-series data. This suggests that labour costs are more important in determining the demand for labour than initially was believed.     

New Evidence on Export Price Elasticity from China and Six OECD Countries

This paper provides new evidence on export price elasticities by analyzing the cases of China, France, Germany, Italy, Japan, UK and the USA over the period 1990–2012. Estimates have been made using panel data techniques for non‐stationary data. After demonstrating that long‐run relationships are stable to any structural break, it is found that exports are significantly determined by foreign demand, with long‐run income elasticity significantly higher than unity for China, Japan, Germany, the UK and the USA. Conversely, exports are price inelastic for most of the countries in the sample, in both the long run and the short run. The exception is France, whose export price elasticity is lower (higher) than unity in the short run (long run).     

Tax Base Elasticities: A Multi-State Analysis of Long-Run and Short-Run Dynamics

We examine the relative dynamic responses of state personal tax revenues and sales tax bases to changes in state personal income. Our econometric analysis, which includes separate analyses of long-run and short-run dynamics for each state, permits the estimation of asymmetric short-run responses depending upon the relationship between current and expected tax base growth. Results indicate that the average long-run elasticity for income taxes is more than double that for sales taxes. Most states have asymmetric short-run income elasticities, which are again greater for income taxes than for sales taxes. However, a joint analysis of long- and short-run dynamics reveals that neither tax is universally more volatile. After calculating state-specific income elasticities for both taxes, we employ cross-section regression techniques to explain the variation in elasticities across states. Several policy factors are found to be important, including elements of tax bases and rate structures.     

The price and income elasticities of the top clothing exporters: Evidence from a panel data analysis

This paper studies the main export function features of twelve top clothing exporters (China, Hong Kong, France, Germany, India, Indonesia, Italy, Netherlands, Spain, Turkey, UK and USA) in the period between 1992 and 2011. Price and income elasticities are estimated for each economy using a panel data approach, after controlling for nonstationarity, cointegration and Granger causality. Rolling regressions are also performed, and show the existence of some elasticities instability over time, fundamentally related to the profound economic and institutional changes affecting the clothing trade in the period under consideration. The analysis suggests that most advanced economies, including Hong Kong, changed their position in the global value chain towards an “organizational” role. China confirms its leadership in clothing exports although its rising price elasticity sounds a warning with regard to future prospects.     

A machine learning approach to improving occupational income scores

Historical studies of labor markets frequently lack data on individual income. The occupational income score (OCCSCORE) is often used as an alternative measure of labor market outcomes. We consider the consequences of using OCCSCORE when researchers are interested in earnings regressions. We estimate race and gender earnings gaps in modern decennial Censuses as well as the 1915 Iowa State Census. Using OCCSCORE biases results towards zero and can result in estimated gaps of the wrong sign. We use a machine learning approach to construct a new adjusted score based on industry, occupation, and demographics. The new income score provides estimates closer to earnings regressions. Lastly, we consider the consequences for estimates of intergenerational mobility elasticities.