The Income Elasticity of Demand in a Sub-Saharan African Housing Market: Evidence from Ibadan, Nigeria

1994 ◽  
Vol 26 (1) ◽  
pp. 107-119 ◽  
Author(s):  
B C Arimah
Keyword(s):  
Income Elasticity ◽  
Housing Demand ◽  
Elasticity Of Demand ◽  
Composite Product ◽  
Sub Saharan ◽  
Using Data ◽  
Income Elasticity Of Demand ◽  
The City ◽  
The Empirical Analysis ◽  
Ibadan Nigeria

Very little is known about the behaviour of housing demand in sub-Saharan housing markets. This ostensibly is due to the dearth of such studies in this region. In this paper the author estimates the parameters of the demand for housing, using data drawn from the city of Ibadan in Nigeria. The empirical analysis, in which housing is viewed as a composite product, reveals that the demand for housing is income inelastic. Specifically, income-elasticity estimates for renters and owners are 0.88 and 0.56, respectively. Furthermore, these income-elasticity estimates were found to be higher than those reported for other African cities.

scholarly journals An Econometric Model of the Market for New England Groundfish

1985 ◽  
Vol 14 (2) ◽  
pp. 128-143 ◽  
Author(s):  
Stephen R. Crutchfield
Keyword(s):  
New England ◽  
Economic Model ◽  
Income Elasticity ◽  
Econometric Model ◽  
Luxury Good ◽  
Domestic Industry ◽  
Elasticity Of Demand ◽  
Multi Level ◽  
Using Data ◽  
Income Elasticity Of Demand

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.

India‘s Exports of Software Services

2011 ◽  
Vol 16 (3) ◽  
pp. 285-307 ◽  
Author(s):  
Rashmi Banga ◽  
Dinesh Kumar
Keyword(s):  
Productivity Growth ◽  
Income Elasticity ◽  
Demand Elasticity ◽  
It Services ◽  
Services Sector ◽  
Elasticity Of Demand ◽  
External Demand ◽  
Using Data ◽  
Income Elasticity Of Demand ◽  
Software Services

Services sector in India showed a remarkable resilience to global economic crisis and grew at a rate of 9.3 per cent explaining around 88 per cent of the growth rate in real GDP of India in 2008–09. Exportsof software services helped considerably in providing the necessary resilience. The main objective of the paper is to examine the role of external demand and productivity growth in exports of software services. Global income elasticity of demand for export of software services is estimated for the period 1970–2008. Sources of total factor productivity growth in Indian IT services firms are identified using Data Envelopment Analysis for the period 1994–95 to 2007–08. It is found that high income demand elasticity for India–s software services has contributed substantially to its growth. But more importantly, there has been a steep rise in productivity growth in the post-2000 period which is attributable mainly to technological innovation.

scholarly journals ANALISIS PERMINTAAN KEDELAI DI INDONESIA

2017 ◽  
Vol 12 (1) ◽  
pp. 42
Author(s):  
Septi Rostika Anjani ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Regression Analysis ◽  
Capita Income ◽  
Income Elasticity ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Per Capita Income ◽  
Elasticity Of Demand ◽  
Per Capita ◽  
Income Elasticity Of Demand

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.

International Real Estate Review

2002 ◽  
Vol 5 (1) ◽  
pp. 133-145
Author(s):  
Wen-chieh Wu ◽  
◽  
Sue-Jing Lin ◽  
Keyword(s):  
Standard Error ◽  
Housing Price ◽  
Demand Estimation ◽  
Housing Demand ◽  
Group Effect ◽  
Group Level ◽  
Random Group ◽  
Elasticity Of Demand ◽  
The Us ◽  
Income Elasticity Of Demand

This paper examines the random group effect, which has usually not been considered in traditional housing demand studies. Frequently, group level variables are used in housing demand estimation due to the data constraint. For instance, the US Index of Housing Price per administrative area is often used to measure the housing price when estimating the US price elasticity of demand for housing, and the average household income is often used as a proxy for the individual income in Taiwan when estimating the income elasticity of demand for housing. Econometricians argue that the traditional OLS estimation, when the random group effect is ignored, has been considered to have a downward bias in the estimated standard error. By following Amemiya (1978) and Borjas and Sueyoshi (1994), we propose a two-stage estimation technique to estimate housing demand with the random group effect. Using Taiwan’s cross-sectional survey data, we found that the standard error of the estimated coefficient for the group level income variable is underestimated in the traditional unadjusted OLS specification. This finding suggests that there may be a danger of spurious regression in the traditional OLS housing demand estimation.

scholarly journals Economic development thresholds for a green economy in sub-Saharan Africa

2019 ◽  
Vol 38 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Simplice A Asongu ◽  
Nicholas M Odhiambo
Keyword(s):  
Economic Development ◽  
Population Growth ◽  
Human Development ◽  
Generalized Method Of Moments ◽  
Sub Saharan Africa ◽  
Green Economy ◽  
Kuznets Curve ◽  
Sub Saharan ◽  
Using Data ◽  
The Empirical Analysis

This study investigates how increasing economic development affects the green economy in terms of CO2 emissions, using data from 44 countries in the sub-Saharan Africa for the period 2000–2012. The Generalized Method of Moments is used for the empirical analysis. The following main findings are established. First, relative to CO2 emissions, enhancing economic growth and population growth engenders a U-shaped pattern whereas increasing inclusive human development shows a Kuznets curve. Second, increasing gross domestic product growth beyond 25% of annual growth is unfavorable for a green economy. Third, a population growth rate of above 3.089% (i.e. annual %) has a positive effect of CO2 emissions. Fourth, an inequality-adjusted human development index of above 0.4969 is beneficial for a green economy because it is associated with a reduction in CO2 emissions. The established critical masses have policy relevance because they are situated within the policy ranges of adopted economic development dynamics.

scholarly journals Income elasticity of demand within individual consumer groups and the level of income elasticity of the entire market demand 

2012 ◽  
Vol 52 (No. 9) ◽  
pp. 412-417
Author(s):  
P. Syrovátka
Keyword(s):  
Consumer Behaviour ◽  
Income Elasticity ◽  
Meat Products ◽  
Market Demand ◽  
Demand Functions ◽  
Elasticity Of Demand ◽  
Income Elasticities ◽  
Aggregation Equation ◽  
Application Potential ◽  
Income Elasticity Of Demand

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.

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