Income elasticity of demand versus consumption: Implications for energy policy analysis

2020 ◽  
pp. 105009
Author(s):  
Hamed Ghoddusi ◽  
Alexander Rodivilov ◽  
Mandira Roy
2017 ◽  
Vol 12 (1) ◽  
pp. 42
Author(s):  
Septi Rostika Anjani ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo

This study aims to analyze the factors that influence the demand of soybean in Indonesia. The research method uses descriptive analysis of secondary data which includes the price of imported soybeans, the price of chicken, per capita  income,  the rate of inflation and import tariff policy  year period 1980-2013 which sourced from FAO  and  other  sources.  Estimation  of  demand  function  using  multiple  linear regression  analysis  were  transformed  in  the  form  of  natural  logarithm.  Regression analysis showed that soybean demand in Indonesia was influenced partially by prices of chicken, per capita income, and the rate of inflation. The price elasticity of demand of soybean in Indonesia is inelastic, that is equal 0,22. While the income elasticity of demand  for  soybeans  is  positive  which  means  that  soy  is  a  staple  item  for  the Indonesian people.


2012 ◽  
Vol 52 (No. 9) ◽  
pp. 412-417
Author(s):  
P. Syrovátka

The paper is focused on the derivation of the mathematical relationship among the income-elasticity level of the entire market demand and the income-elasticity values of the demand functions of the consumers’ groups buying on the defined market. The determination of the mathematical term was based on the linearity of the relevant demand functions. Under the linearity assumption, the income elasticity coefficient of the entire market demand equals the weighted sum of the income-demand elasticities of the differentiated consumer groups buying on the given market. The weights in the aggregation formula are defined as the related demand shares, i.e. as the proportions of the groups’ demands to the entire market demand. The derived aggregation equation is quite held if no demand interactions (e.g. the snob or fashion effect) are recorded among differentiated consumers’ groups. The derived formula was examined by using empirical data about the consumer behaviour of Czech households in the market of meat and meat products (Czech Statistical Office). However, the application potential of the achieved term for the income-elasticity aggregations is much broader within the consumer-behaviour analysis. In addition to the subject aggregations of the demand functions, we can also apply the derived formula for the analysis and estimations of the income elasticities within the demand-object aggregations, i.e. the multistage analysis of the income elasticity of consumer demand. Another possibility of the use of the aggregation equation is for the evaluations and estimations of the income elasticity of the region-demand functions in relation to the subregions’ demands or reversely.


1985 ◽  
Vol 14 (2) ◽  
pp. 128-143 ◽  
Author(s):  
Stephen R. Crutchfield

This paper develops an economic model of the New England groundfish market. A multi-sector, multi-level econometric model is estimated using data from 1970 to 1982. The parameters of the estimated model are used to characterize consumer demand for groundfish and related products. Retail and exvessel demands for fresh and frozen groundfish fillets are found to be highly elastic. Fresh fillets especially show high income elasticity of demand, reflecting their status as a luxury good. Only a very small and statistically weak relationship was found between the prices of imported groundfish and domestic ex vessel prices indicating that proposals to assist the domestic industry via tariffs may be ineffectual.


2014 ◽  
Vol 104 (2) ◽  
pp. 687-706 ◽  
Author(s):  
Stuart S. Rosenthal

While filtering has long been considered the primary mechanism by which markets supply low-income housing, direct estimates of that process have been absent. This has contributed to doubts about the viability of markets and to misplaced policy. I fill this gap by estimating a “repeat income” model using 1985–2011 panel data. Real annual filtering rates are faster for rental housing (2.5 percent) than owner-occupied (0.5 percent), vary inversely with the income elasticity of demand and house price inflation, and are sensitive to tenure transitions as homes age. For most locations, filtering is robust which lends support for housing voucher programs. (JEL R21, R31, R38)


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