Estimation of the effects of price on apartment water demand using cointegration and error correction techniques

Water price is a key instrument in regulating water demand in the residential sector. Many empirical studies have assessed the effects of price through quantifying the price elasticity of water demand. However, most of these studies have mainly focused on the single-family housing rather the multifamily housing. An in-depth understanding of the price elasticity of multifamily housing water demand is paramount for water planners in order to properly manage water use in the fast growing intensive housing developments in urban areas. This study investigates both the long-term and short-term price elasticities of water demand in the residential apartments in Auckland central city. Using 6 years of monthly time series data, the price elasticities were estimated through cointegration and error correction methods. The results showed that the price elasticities of water demand were ?0.14 and ?0.12 in the short term and the long term, respectively. The price is inelastic yet negative and statistically significant, thus it can play a role in demand management.     

An Econometric Estimation of Industrial Water Demand in France

This study investigates the structure of industrial water demand byestimating the derived demand for water on a sample of industrialestablishments located in the south-west of France. Productiontechnologies are represented by short-term variable cost functions andapproximated by a translog form. Industrial water use is modeled ashaving three components: the quantity of water bought to a waterutility, the quantity of autonomous water and the quantity of watertreated prior to use. We include in this framework water effluents,which are considered as a by-product of the production process, emittedby firms. Each of the three water components is treated as a separateinput and all are estimated as a system of simultaneous equations. Themodel is estimated on a sample of 51 industrial plants in the Girondedistrict observed from 1994 to 1996 using Seemingly Unrelated Regression(SUR) and Feasible Generalized Least Squares (FGLS). Results ofestimations show that industrial firms are sensitive to water priceinputs. Network water elasticity is estimated at –0.29. It variesfrom –0.10 to –0.79 according to the type of industryconsidered. Autonomous water price elasticity is not significant.Elasticity for treated water is evaluated at –1.42 at themean-sample and varies from –0.90 to –2.21 according to theindustry considered.     

Universal telecommunication service: A world perspective

Worldwide telecommunications demand is estimated in models for business and residential mainline telephone, and for mobile telephone service using separate models for developed and developing countries for the period 1996–2001. We test for cross-price elasticities between mainline and mobile service and find that the results are generally suggestive of current complementary relationships. We find residential monthly price elasticity to be no different than zero for a sample of developing countries, but the connection elasticity is statistically significant. Mobile monthly service elasticity is much larger than those for mainline service, suggesting that universal service in developing countries might be promoted more effectively with subsidies for mobile service. Income elasticities for the residential model are modest while the mobile service model income elasticity for developing countries is much higher. Expanding markets, income growth and enhanced education may be the ultimate universal service promoters.     

Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms

A dynamic random variables model correcting for heteroskedastic and correlated error terms over time and space and dynamic demand and using panel county data offers consistent and efficient elasticity estimates of residential electricity and natural gas demands. The model developed by Swamy [Swamy, P.A.V.B., 1974. Linear models with random coefficients. In: P. Zarembka (Eds.), Frontiers in Econometrics, Academic Press, London, pp. 143–168.] with a modification suggested by Maddala et al. [Maddala, G.S., Trost, R.P., Li, H., Joutz, F., 1997. Estimation of short-run and long-run elasticities of energy demand from panel data using shrinkage estimators. Journal of Business and Economic Statistics 15, 90–100.] uses a panel of selected California counties for the years 1983–1997 to yield elasticity estimates that differ from those obtained from more standard panel data procedures.     

Estimates of price elasticity of demand for urban freeway use with high-frequency control variables: the case of Santiago,Chile

Estimates are presented of toll and fuel price elasticities of demand for urban freeway use in Santiago, Chile. High-frequency toll and vehicle data were collected from four urban freeways for different route segments and times of day. Estimation was performed using log-linear regression models whose explanatory variables were tolls, fuel prices, city traffic levels and sets of dichotomous variables to control for daily, weekly and monthly seasonality. City traffic is a high frequency control of the activity level of the city. The elasticities to changes in tolls and fuel were all low in absolute value. The toll elasticities were below 0.05 for two freeways and 0.16 for the third, while for the fourth, which had more alternative routes, it was 0.47. The fuel price elasticities were also heterogeneous, with values of approximately 0.45 for two freeways and 0.21 for the third whereas for the fourth, which had the fewest alternatives, it was 0.07.     

An open economy model of the effects of unilateral environmental policy by a large developing country

In this paper, we pose the following question. Why is it that despite the universal recognition of the need for global environmental protection, developing countries have been lax in instituting stringent environmental regulations? Addressing this question from an economic standpoint, we show that there are plausible theoretical circumstances in which a large developing country can be worse off if it chooses to implement environmental policy in an uncoordinated fashion. The empirical dimension of this question is stressed and the key parameters – such as elasticities and marginal propensities to consume – which are germane to any policy discussion regarding this issue are identified. Second, we study – once again from the perspective of a large developing country – the possibility of using the domestic tax structure optimally to attain environmental policy objectives in a second-best environment. This scenario involves taxing pollution indirectly, by using product taxes. Finally, keeping the empirical dimension of the question in mind, we show how to compute optimal externality correcting taxes. These taxes are primarily a function of different kinds of elasticities.     

Impact of sanitation,safe drinking water and health expenditure on infant mortality rate in developing economies

Despite of significant growth in all walks of life, the issue of infant mortality still a major concern in most of the developing economies. The World Development Indicators have reported that 4.45 million infants died across the globe in 2015, meaning that 32 deaths per every 1,000 live births. A number of times, the World Health Organization (WHO) have stressed the significance of sanitation, safe drinking water and healthcare facilities in reducing infant mortality rate, though most developing countries still lacks in these services. Given this background, the present study aims to examine the role of sanitation, water facilities and health expenditure on infant mortality rate across a panel of 84 developing economies using annual data from 1995 to 2013. The study also account for per capita income and depth of food deficiency as the control factors in the model. The findings of this study establish a significant long-run equilibrium association among the variables. The long-run elasticities on infant mortality suggest that improved water and sanitation facilities, health expenditure and per capita income substantially reduce infant mortality rate, while food deficiency increases. Given these findings, we suggest that increasing access to improved water, sanitation and healthcare facilities will significantly reduce child mortality in developing economies around the world.     

Housing investment in the Netherlands

Employing Dutch market data over the period 1977:1–1994:4, estimates of two housing equations are obtained. The first equation is based on an underlying model in which profit-maximising building firms do not face adjustment costs when altering their output schedule. The second model distinguishes between short-run and long-run elasticities of supply, where firms face adjustment costs. Although the formulation of the equations can be regarded as representing the underlying long-term relationships, employing the Johansen procedure does not produce economically meaningful results. Using instrumental variables, the first model yields a supply elasticity of the order of 1.6 and the second model produces a short-run elasticity of 2.3 and a long-run elasticity of 6. Comparison of these estimates with those obtained by Topel and Rosen (Topel, R. and Rosen, S., 1988. Housing investment in the United States J. Pol. Econ. 96 (4), 718–740) in the US shows that investment seems to be more sensitive to price changes in the Netherlands than in the US.     

Analysis and Forecast of the State of Environmental Protection in Russia

The main purpose of the present study is to analyse the emission dynamics of atmospheric and water pollutants in Russia and cost of their removal in the 1980s and early 1990s, and to forecast them by means of a Dynamic Input–Output Model according to different scenarios of future economic development till 1998. Main results of the work are:– methodological principles have been elaborated for singling out the environmental protection sector within the national economy;– a method has been offered for including the ecological block into a Dynamic Input–Output Model of the Russian economy;– a method of data preparation has been elaborated for the ecological block of the above-named model, the data base which characterizes the ecological situation in Russia has been formed and analysed;– calculations for 1994–1998 have been executed for forecasting the economic and ecological development of Russia using the above-mentioned model and the results obtained have been analysed. The results showed that if the existing tendencies towards low environmental protection capital costs remain the same, then the negative environmental impact will increase. In order to implement ecological programs and international agreements, to increase the proportion of removed pollutants, it is necessary to increase substantially expenditures on purifying water and air resources. The proportion of environmental protection investments in the total amount of the national economy capital costs should increase by up to 12–40% according to different scenarios of the economic development and different purposes of the environmental protection policy.     

The Role of Water in Manufacturing

Water's role in manufacturing technologies has received limited attention. A KLEM model of the sector's technology is extended to include two facets of water use: intake and recirculation. Three annual cross-sectional surveys on plant-level water use are pooled and combined with census data to estimate this extended model for the Canadian manufacturing sector over the period 1981–1991. While Canada's water allocation regulations influence private water withdrawals, statistical tests support representing water intake as a variable input. Water intake is found to be a substitute for water recirculation, energy, labour and capital. The relationship between water intake and recirculation is stronger when water intake is process-related rather than related to cooling and steam production. Technological change has been biased in the direction of increased water intake and decreased water recirculation.     

Microeconomic modeling of parallel markets: The case of agricultural goods in the USSR

In a centrally planned economy, non-market-clearing prices fixed by the state cannot be used directly to estimate consumer behavior models. This paper represents an attempt to overcome this problem by utilizing prices in a parallel “free” market. An equilibrium model incorporating parallel markets is discussed and a demand curve arising from this model is estimated using data for the markets for meat and milk in the USSR. the price and income elasticities of demand for these goods are found to be significantly higher than those estimated for the United States.     

The demand for traded and non-traded goods in the U.S.

Annual postwar U.S. data are used to estimate the Rotterdam demand model for traded and non-traded goods. The estimated income elasticity is 1.51 for traded and 0.64 for non-traded goods, while the own-price elasticities are both between −0.3 and −0.2.     

Preliminary results from a five-sector flow of funds model of the United Kingdom, 1972–77

This paper provides a preliminary report on a five sector twelve asset flow of funds model estimated on monthly data for the period 1972–77. The model follows the general equilibrium approach in including a complete set of asset demands and supplies. It distinguishes between long-run and short-run demands and in some cases between short-run national and effective demands. It allows for variable adjustment speeds and, apart from the five forcing variables which are the sector's net surpluses, it does not contain any shift variables to serve as proxies for private or public behaviour. This report outlines the structure of the model and summarizes the initial parameter estimates. Some simulations are reported for comparison with related models.     

The changing structure of cost and demand for the U.S. telecommunications industry

This paper formulates a multiproduct structural model to examine the evolution of the structures of production and demand and their dynamic interaction, over an extended period, 1935–1987, in the U.S. telecommunications industry. We estimate the degree of scale economies, cost elasticities, input price elasticities and the determinants of demand for outputs and for various factors of production. The contributions of the quasi-fixed inputs, such as R&D and physical capital, in the evolution of this industry are evaluated. A number of important issues like the changing characteristics of demand for and cost of local and toll services and the variation of price–cost margin over time are examined under different economic conditions, market structures and regulatory environments. We also analyze the effects of the 1984 divestiture of the Bell System on the cost structure, employment and capital formation of the U.S. telecommunications industry.     

An Empirical Test of Environmental Kuznets Curve for Water Pollution

The Environmental Kuznets Curve (EKC) on water pollution was investigated with both semiparametric and parametric models using watershed level data for the state of Louisiana, USA. The parametric model indicated the turning points within the range $10241–$12993, $6636–$13877, and $6467–$12758 for nitrogen (N), phosphorus (P), and dissolved oxygen (DO), respectively. However, only the parameters associated with N EKC were found to be significant. Model specification tests rejected parametric models in favor of semiparametric specification for P but not for N and DO.     

U.S. import and export elasticities: a panel data approach

This article describes the creation of a new dataset on sectoral-level import and export elasticities in the U.S. between the years 1978 and 2001. It proposes the use of panel data techniques as a means of generating import price indexes, and then using them to measure trade elasticities while instrumenting for the endogeneous variables. In particular, it provides a dataset listing trade elasticities for a broad range of sectors at the North American Industry Classification System 4-digit, and 6-digit and the Harmonized Tariff System 6-digit, and 10-digit levels of industry aggregation. These results are compared to previous estimates in the literature. The resulting estimates can be used in a wide-range of applications in empirical studies of international trade policy, particularly in analyzing the welfare effects of international trade.     

Demand for international telephone traffic in Spain: An econometric study using provincial panel data

In this study we model the demand for outgoing international telephone traffic in Spain. We make use of a standard theoretical framework that incorporates the special characteristics of this type of telephone service. Consequently, equations for real expenditure per line and for the number of international calls per line are estimated.We use annual data for the 50 Spanish provinces for the period 1985–1989, and employ appropriate panel data techniques. The selected equations (one for expenditure per line in international traffic and another for the number of international calls per line) pass a battery of diagnostics. We conclude that this type of traffic, whether measured by expenditure per line or by the number of international calls per line, presents both high income and price elasticities. Moreover we find that price and income affect both the number of calls and their average duration.Likewise, we find a significant increase in social welfare when a tariff rebalancing that maintains the profit of the operating company is carried out.     

Environmental regulation of households: An empirical review of economic and psychological factors

The literature on sustainable consumption and environmental regulation of household behavior is dominated by conceptual and normative approaches. As a result, many suggestions lack a firm empirical basis. To overcome this deficiency, econometric studies in three areas of environmentally relevant activities of households are reviewed: residential use of energy, generation of solid waste and recycling, and residential use of water. Next to price and income elasticities, attention is devoted to individual socio-economic features and psychological factors, such as attitudes, knowledge, perceptions and values. Potential psychological determinants and related insights are further examined by discussing a range of representative and illustrative statistical–psychological studies of environmental behavior. One important general finding is that there are very few empirical studies that systematically combine socio-economic and psychological determinants. A range of insights for environmental policy is derived, and research recommendations are offered.     

An application of dynamic specifications of factor demand equations to interfuel substitution in US industrial energy demand

In a recent paper, Jones (1995) [A dynamic analysis of the interfuel substitution in US industrial energy demand. J. Bus. Econ. Stat. 13 (4), 459–465] presents a dynamic analysis of interfuel substitution in US industry energy demand. The author concludes that a dynamic linear logit model is ‘superior' to a comparable dynamic translog model. The latter in fact violates concavity conditions whilst the logit formulation does not. This paper shows first of all that the dynamic formulation of the translog used in Jones (1995) is mis-specified. In fact, a parsimonious error-correction model (ECM) ‘dominates' alternative dynamic formulations, amongst which the partial adjustment mechanism used by the author. The ECM is able to generate optimal estimates of long-run and short-run elasticities, and it satisfies the concavity conditions of the cost function. Further, the theoretical framework used in this paper is the one recently proposed by Urga (1996) [On the identification problem in testing dynamic specification of factor demand equations. Econ. Lett. 52, 205–210] and Allen and Urga (1998) [Derivation and estimation of interrelated factor demands from dynamic cost function. Forthcoming in Economica]. It allows one to identify all coefficients (long-run and short-run) of the dynamic formulation via the joint estimation of the ‘effective' (short-run) cost function and the set of factor demand equations. This strategy solves, amongst other things, the parameter identification problem within the set of demand equations themselves, an issue which was originally noted by Anderson and Blundell (1982) [Estimation and hypothesis testing in dynamic singular equation systems. Econometrica, 1559–1571], re-addressed by Friesen (1992) [Testing dynamic specification of factor demand equations for US manufacturing. Rev. Econ. Stat. LXXIV (2), 240–250] and, more recently, by Urga (1996) and Allen and Urga (1998).     

Environmental Satellite Models for a Macroeconomic Model

To support national environmental policy, it is desirable to forecast and analyse environmental indicators consistently with economic variables. However, environmental indicators are physical measures linked to physical activities that are not specified in economic models. One way to deal with this is to develop environmental satellite models linked to economic models. The system of models presented gives a frame of reference where emissions of greenhouse gases, acid gases, and leaching of nutrients to the aquatic environment are analysed in line with – and consistently with – macroeconomic variables. This paper gives an overview of the data and the satellite models. Finally, the results of applying the model system to calculate the impacts on emissions and the economy are reviewed in a few illustrative examples. The models have been developed for Denmark; however, most of the environmental data used are from the CORINAIR system implemented in numerous countries.