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19,100 result(s) for "Elasticity of demand"
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Understanding Crude Oil Prices
This paper examines the factors responsible for changes in crude oil prices. The paper reviews the statistical behavior of oil prices, relates this to the predictions of theory, and looks in detail at key features of petroleum demand and supply. Topics discussed include the role of commodity speculation, OPEC, and resource depletion. The paper concludes that although scarcity rent made a negligible contribution to the price of oil in 1997, it could now begin to play a role.
Taxing mechanisms on salty foods: investigation of effectiveness through price elasticity and cross price elasticity of demand
Background Salt consumption control strategies can help to decrease hypertension and related cardiovascular diseases. Taxation mechanisms help to reduce the utilization of harmful commodities like salts. This study aims to analyze the impact of taxing salty foods on salt intake in Iran by examining the price elasticity of demand (PED) and cross-price elasticity of demand (XED) for salty foods. Methods This study used 38,328 household-level data from the 2019 Iranian Household Income and Expenditures Survey. This PED and XED for salty foods were calculated, and changes in household salt consumption due to salt taxation were estimated using a mathematical simulation method. Results The findings revealed that the PEDs for noodles and pilaffs (− 4.89) and bread (− 2.03) are higher than that for other commodities. Noodles and salt (− 4.55) and breads and salt (− 1.61) exhibited the highest XED. Following 20% taxation, total salt intake is projected to increase by approximately 125 g per month. Conclusion Taxing mechanisms are ineffective in reducing the consumption of salty foods. Instead of reducing salt intake, households tend to shift to lower-quality, cheaper salty foods after the tax are implemented. However, these mechanisms can be used for increasing the government revenue.
Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand
Understanding the sensitivity of gasoline demand to changes in prices and income has important implications for policies related to climate change, optimal taxation and national security. The short-run price and income elasticities of gasoline demand in the United States during the 1970s and 1980s have been studied extensively. However, transportation analysts have hypothesized that behavioral and structural factors over the past several decades have changed the responsiveness of U.S. consumers to changes in gasoline prices. We compare the price and income elasticities of gasoline demand in two periods of similarly high prices from 1975 to 1980 and 2001 to 2006. The short-run price elasticities differ considerably: and range from -0.034 to -0.077 during 2001 to 2006, versus -0.21 to -0.34 for 1975 to 1980. The estimated short-run income elasticities range from 0.21 to 0.75 and when estimated with the same models are not significantly different between the two periods.
Evaluating export vulnerability through import demand elasticity in carbon border adjustment contexts: a focus on Türkiye
Import demand elasticity (IDE) is a critical metric often employed to guide government decisions regarding tariffs and non-tariff barriers, ensuring that foreign trade remains uninterrupted while optimizing tax revenues. This study, however, leverages IDE to assess the impact of the carbon border adjustment mechanism (CBAM) on Türkiye’s decarbonization process. Specifically, the research analyzed the total export quantities and unit prices of four product groups—cement, fertilizers, and inorganic chemicals, steel and iron, and aluminum—exported from Türkiye to the European Union-27 countries under the CBAM framework between 2002 and 2021. Using CCE and AMG methodologies, IDE parameters were estimated, followed by calculations of unit price increases and potential export losses across three distinct scenarios. The findings indicate IDE values of 1.95 for cement, 1.20 for fertilizers and inorganic chemicals, 1.85 for steel and iron, and 1.47 for aluminum. These high elasticity values suggest that Türkiye may face substantial export losses for these products. Later we calculated unit price increase and potential export loss according to three different scenarios. Across all three potential scenarios, while Türkiye’s iron and steel exports to the EU-27 face a great risk of declining by approximately 25%, the aluminum sector was found to be the least affected across all three scenarios. Consequently, it is imperative for Türkiye to expedite its decarbonization efforts to safeguard its export market share within the EU.
Price and Output Elasticities of Energy Demand for Industrial Sectors in OECD Countries
The price and output elasticities of energy demand continue to be of interest to academia and policy institutions, having been estimated in previous studies. However, the estimated results show some inconsistencies, especially at the sectoral level, across countries. Based on our conjecture that those inconsistencies are mainly due to the effect of contingent energy intensities and partially to different units of analysis, we narrowed the analysis to the industry level and classified 16 industries into energy-intensive and less energy-intensive groups. The effects of price and output on energy demand were then compared between these two groups using 274 industry panel data across 20 Organization for Economic Cooperation and Development (OECD) countries from 1978 to 2013. The results showed that the price elasticity of energy demand was consistently lower in the energy-intensive group than in the less energy-intensive group, whereas the output elasticity of energy demand was higher in the energy-intensive group than in the less energy-intensive group. Using panel differences and system generalized method of moments estimations, the dynamic elasticities of energy demand were also estimated. Energy demand in reaction to both price and output changes appeared to be more elastic in the long term than in the short term for both energy-intensive and less energy-intensive groups. These findings could be a useful reference for policy makers to deploy separate energy policies for different industries aiming for different temporal effects.
An Analysis of the Income and Price Elasticity of Demand for Housing in View of Price Dynamics on the Residential Property Market
In both the global and the domestic approach, the real estate market is a multifaceted domain of study, constituting a specific and imperfect system. Researchers have to rely on increasingly advanced analytical tools to capture the structural complexity of real estate markets. Real estate prices are influenced by contradictory behaviors of market participants. This observation prompted the authors to analyze the income and price elasticity of demand for housing by calculating elasticity coefficients in view of changes in housing prices and the Veblen effect. This problem was analyzed based on a review of the literature and the results of an experiment. The results of the current study can be used to confirm the presence of the Veblen effect on the housing market based on the adopted criteria. The coefficients of price and income elasticity of demand for housing were calculated in view of the price dynamics on the real estate market to paint a more complete picture of reality and explain market processes.
Estimating Residential Water Demand Under Systematic Shifts Between Uniform Price (UP) and Increasing Block Tariffs (IBT)
We evaluate whether changing from a uniform price (UP) to an increasing block tariff (IBT) changes people's behavior. We exploit a unique setting in which the price scheme moves back and forth yearly from UP to IBT. We discuss the effectiveness of IBT in reducing summer consumption. This issue is relevant to many countries and policymakers interested in designing tariff structures. There is no evidence of how the same consumer may react to systematically switching from one tariff structure to another yearly. We estimate the residential water demand and its price elasticity using a generalized least squared random effect model for the UP and the discrete/continuous choice model for the IBT. In addition, we split the sample between low and high‐consumption groups. For the low consumption group unaffected by the tariff change, the elasticity in the nonsummer months is higher (more elastic) than in the summer. Consumers in this group reduce their elasticity from nonsummer to summer months (−0.299 vs. −0.071, respectively) and increase their consumption by 13%. The high consumption group increased its summer consumption, but only by 8.7%, and contrary to the first group, its elasticity increased significantly (from −0.299 to −0.568). The high‐consumption group is indeed affected by the change in tariff. From a policy perspective, this implies that the IBT structure is relevant. However, if the policy seeks to promote conservation, it needs to be adjusted to a lower decile of the water consumption distribution to affect a more significant portion of the population. Key Points We estimate the residential water demand and its price elasticity under systematic shifts between uniform price and increasing‐block tariff structure We estimate different treatments of the sample: splitting it between summer and nonsummer months and between low and high consumption levels From a policy perspective, we find that people react to tariff changes and that tariff reforms should consider consumers' heterogeneity
Price and Income Elasticities of Residential Water Demand: A Meta-Analysis
This article presents a meta-analysis of variations in price and income elasticities of residential water demand. Meta-analysis constitutes an adequate tool to synthesize research results by means of an analysis of the variation in empirical estimates reported in the literature. We link the variation in estimated elasticities to differences in theoretical microeconomic choice approaches, differences in spatial and temporal dynamics, as well as differences in research design of the underlying studies. The occurrence of increasing or decreasing block rate systems turns out to be important. With respect to price elasticities, the use of the discrete-continuous choice approach is relevant in explaining observed differences.
Household response to dynamic pricing of electricity: a survey of 15 experiments
Since the energy crisis of 2000-2001 in the western United States, much attention has been given to boosting demand response in electricity markets. One of the best ways to let that happen is to pass through wholesale energy costs to retail customers. This can be accomplished by letting retail prices vary dynamically, either entirely or partly. For the overwhelming majority of customers, that requires a change out of the metering infrastructure, which may cost as much as $40 billion for the US as a whole. While a good portion of this investment can be covered by savings in distribution system costs, about 40% may remain uncovered. This investment gap could be covered by reductions in power generation costs that could be brought about through demand response. Thus, state regulators in many states are investigating whether customers will respond to the higher prices by lowering demand and if so, by how much. To help inform this assessment, this paper surveys the evidence from the 15 most recent pilots, experiments and full-scale implementations of dynamic pricing of electricity. It finds conclusive evidence that households respond to higher prices by lowering usage. The magnitude of price response depends on several factors, such as the magnitude of the price increase, the presence of central air conditioning and the availability of enabling technologies such as two-way programmable communicating thermostats and always-on gateway systems that allow multiple end-uses to be controlled remotely. In addition, the design of the studies, the tools used to analyze the data and the geography of the assessment influence demand response. Across the range of experiments studied, time-of-use rates induce a drop in peak demand that ranges between 3 and 6% and critical-peak pricing (CPP) tariffs induce a drop in peak demand that ranges between 13 and 20%. When accompanied with enabling technologies, the latter set of tariffs lead to a reduction in peak demand in the 27-44% range.
STRUCTURAL CHANGE AND THE KALDOR FACTS IN A GROWTH MODEL WITH RELATIVE PRICE EFFECTS AND NON-GORMAN PREFERENCES
U.S. data reveal three facts: (1) the share of goods in total expenditure declines at a constant rate over time, (2) the price of goods relative to services declines at a constant rate over time, and (3) poor households spend a larger fraction of their budget on goods than do rich households. I provide a macroeconomic model with non-Gorman preferences that rationalizes these facts, along with the aggregate Kaldor facts. The model is parsimonious and admits an analytical solution. Its functional form allows a decomposition of U.S. structural change into an income and substitution effect. Estimates from micro data show each of these effects to be of roughly equal importance.