A Panel Data Analysis of Electricity Demand in Pakistan

This paper looks at the economy-wide demand and the firm level demand for electricity in Pakistan. The economy wide estimation of electricity demand uses panel data from 63 countries from 1998-2008, and finds that the elasticity of demand for electricity with respect to per capita income is approximately 0.69, which implies that a 1% increase in per capita income will lead to a 0.69% increase in the demand for electricity. The firm level analysis uses firm level data from the World Bank’s Enterprise Survey for Pakistan and finds that the price elasticity of demand for electricity across all firms is approximately -0.57, which implies that a 1% increase in electricity prices will lead to a 0.57% decrease in electricity demand across firms. Across sectors, the textile sector has the highest price elasticity of demand (-0.81) while the price elasticity of demand for firms in the electricity and electronics sector is the smallest (-0.31). Finally, firm level data is also used to estimate production functions in order to estimate the impact of electricity shortages on manufacturing output.

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COMPLEMENTARITY BETWEEN TANGIBLE AND INTANGIBLE CAPITAL: EVIDENCE FROM JAPANESE FIRM-LEVEL DATA

The Singapore Economic Review ◽

10.1142/s0217590819500735 ◽

2020 ◽

Vol 65 (05) ◽

pp. 1293-1321

Author(s):

KAORU HOSONO ◽

DAISUKE MIYAKAWA ◽

MIHO TAKIZAWA ◽

KENTA YAMANOUCHI

Keyword(s):

Panel Data ◽

Japanese Firm ◽

Production Functions ◽

Intangible Capital ◽

Capital Investments ◽

Firm Level ◽

Level Data ◽

Intangible Investments ◽

Firm Level Data ◽

Level Production

Using Japanese firm-level panel data spanning from 2000 to 2013, we estimate industry-level production functions that explicitly take into account the complementarity and substitutability between tangible and intangible capital. The estimation results show that tangible and intangible capitals are complementary in most industries although the degree of complementarity substantially varies across industries. We further find that the relation between tangible and intangible capital in the production function accounts for the relation between firm-level tangible capital and intangible capital investments. Namely, firms’ tangible investments are more strongly positively associated with intangible investments as the degree of the complementarity between the tangible and intangible assets becomes larger. These findings show the necessity to take into account the relation between the dynamics of tangible and intangible capital in terms of their complementarity for precisely understanding the mechanisms governing a firm’s growth.

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The income and price elasticity of demand for housing in Ghana: Empirical evidence from household level data

South African Journal of Economic and Management Sciences ◽

10.17159/2222-3436/2016/v19n2a1 ◽

2016 ◽

Vol 19 (2) ◽

Author(s):

Francis Tandoh ◽

Devi Datt Tewari

Keyword(s):

Empirical Evidence ◽

Price Elasticity ◽

Household Level ◽

Elasticity Of Demand ◽

Price Elasticity Of Demand ◽

Level Data

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The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation

American Economic Journal Applied Economics ◽

10.1257/app.20180256 ◽

2020 ◽

Vol 12 (1) ◽

pp. 86-114 ◽

Cited By ~ 13

Author(s):

Tatyana Deryugina ◽

Alexander MacKay ◽

Julian Reif

Keyword(s):

Dynamic Model ◽

Energy Policy ◽

Price Elasticity ◽

Natural Experiment ◽

Electricity Demand ◽

Elasticity Of Demand ◽

Price Elasticity Of Demand ◽

Long Run ◽

Residential Electricity ◽

Consumption Dynamics

We study the dynamics of residential electricity demand by exploiting a natural experiment that produced large and long-lasting price changes in over 250 Illinois communities. Using a flexible difference-in-difference matching approach, we estimate that the price elasticity of demand grows from − 0.09 in the first six months to − 0.27 two years later. We find similar results with a dynamic model in which usage is a function of past and future prices. Our findings highlight the importance of accounting for consumption dynamics when evaluating energy policy. (JEL L94, L98, Q41, Q48)

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Demand price elasticity of mobile voice communication: A comparative firm level data analysis

Information Economics and Policy ◽

10.1016/j.infoecopol.2021.100939 ◽

2021 ◽

pp. 100939

Author(s):

Fayçal Sawadogo

Keyword(s):

Data Analysis ◽

Price Elasticity ◽

Firm Level ◽

Voice Communication ◽

Level Data ◽

Firm Level Data ◽

Demand Price Elasticity

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The income and price elasticity of demand for housing in Ghana: Empirical evidence from household level data

South African Journal of Economic and Management Sciences ◽

10.4102/sajems.v19i2.675 ◽

2016 ◽

Vol 19 (2) ◽

pp. 160-174 ◽

Cited By ~ 1

Author(s):

Francis Tandoh ◽

Devi Datt Tewari

Keyword(s):

Price Elasticity ◽

Income Elasticity ◽

Permanent Income ◽

Current Income ◽

Household Level ◽

Elasticity Of Demand ◽

Income Elasticities ◽

Price Elasticity Of Demand ◽

Level Data ◽

Housing Units

Housing is a challenging issue in Ghana, due to the rising demand and sluggish supply which has led to a deficit of more than two million housing units. This study aimed to estimate and analyse the determinants of the demand for housing in Ghana. The estimated elasticities show that owner and rental demand for housing is price and income inelastic. Permanent income elasticities were greater in each case than current income elasticity. The quantile regression showed that permanent income, current income and price were significant for all quantiles of housing units consumed. It is recommended that all these factors be taken into account when addressing the housing supply challenges facing Ghana to help clear the existing deficit and to provide for the anticipated increase in demand due to increasing income, since demand for housing in the country is income inelastic.

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