DOES EMPLOYMENT STATUS DETERMINE HOUSEHOLD CONSUMPTION PATTERN IN INDIA? AN ANALYSIS THROUGH THE DEPENDENCY APPROACH

Abstract

This study examines the relationship between employment status and household consumption patterns in India using a dependency approach. The analysis focuses on understanding how different employment statuses, such as formal employment, informal employment, and unemployment, influence household consumption behavior. The study utilizes data from a nationally representative survey and employs regression analysis to explore the determinants of household consumption. The results reveal that employment status significantly affects household consumption patterns in India. Formal employment is associated with higher consumption levels, while informal employment and unemployment are associated with lower consumption levels. Additionally, the study finds that household size, education level, and income also play significant roles in shaping consumption patterns. These findings have important implications for policymakers and stakeholders aiming to address income inequality and promote inclusive economic growth in India.

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Dhananjay Bisht. (2023). DOES EMPLOYMENT STATUS DETERMINE HOUSEHOLD CONSUMPTION PATTERN IN INDIA? AN ANALYSIS THROUGH THE DEPENDENCY APPROACH. International Journal Of Management And Economics Fundamental, 3(07), 1–4. https://doi.org/10.37547/ijmef/Volume03Issue07-01
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Abstract

This study examines the relationship between employment status and household consumption patterns in India using a dependency approach. The analysis focuses on understanding how different employment statuses, such as formal employment, informal employment, and unemployment, influence household consumption behavior. The study utilizes data from a nationally representative survey and employs regression analysis to explore the determinants of household consumption. The results reveal that employment status significantly affects household consumption patterns in India. Formal employment is associated with higher consumption levels, while informal employment and unemployment are associated with lower consumption levels. Additionally, the study finds that household size, education level, and income also play significant roles in shaping consumption patterns. These findings have important implications for policymakers and stakeholders aiming to address income inequality and promote inclusive economic growth in India.


background image

Volume 03 Issue 07-2023

1


International Journal Of Management And Economics Fundamental
(ISSN

2771-2257)

VOLUME

03

ISSUE

07

P

AGES

:

01-04

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.

448

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

ABSTRACT

This study examines the relationship between employment status and household consumption patterns in India using

a dependency approach. The analysis focuses on understanding how different employment statuses, such as formal

employment, informal employment, and unemployment, influence household consumption behavior. The study

utilizes data from a nationally representative survey and employs regression analysis to explore the determinants of

household consumption. The results reveal that employment status significantly affects household consumption

patterns in India. Formal employment is associated with higher consumption levels, while informal employment and

unemployment are associated with lower consumption levels. Additionally, the study finds that household size,

education level, and income also play significant roles in shaping consumption patterns. These findings have important

implications for policymakers and stakeholders aiming to address income inequality and promote inclusive economic

growth in India.

KEYWORDS

Employment status, household consumption, dependency approach, formal employment, informal employment,

unemployment, India, income inequality, inclusive economic growth.

Research Article

DOES EMPLOYMENT STATUS DETERMINE HOUSEHOLD CONSUMPTION
PATTERN IN INDIA? AN ANALYSIS THROUGH THE DEPENDENCY
APPROACH

Submission Date:

June 21, 2023,

Accepted Date:

June 26, 2023,

Published Date:

July 01, 2023

Crossref doi:

https://doi.org/10.37547/ijmef/Volume03Issue07-01


Dhananjay Bisht

Research Scholar, School of Economics, University of Hyderabad, Hyderabad, Telangana, India

Journal

Website:

https://theusajournals.
com/index.php/ijmef

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.


background image

Volume 03 Issue 07-2023

2


International Journal Of Management And Economics Fundamental
(ISSN

2771-2257)

VOLUME

03

ISSUE

07

P

AGES

:

01-04

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.

448

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

INTRODUCTION

Understanding the relationship between employment

status and household consumption patterns is crucial

for policymakers and researchers aiming to address

income inequality and promote inclusive economic

growth. In India, where a significant proportion of the

population is engaged in informal employment or faces

unemployment, exploring how different employment

statuses influence household consumption can

provide insights into the dynamics of household well-

being and economic development. This study aims to

analyze the impact of employment status on

household consumption patterns in India through the

lens of the dependency approach.

The dependency approach focuses on how individuals'

access

to

resources,

including

employment

opportunities, affects their consumption behavior and

overall well-being. By examining the relationship

between

employment

status

and

household

consumption, this approach helps identify disparities in

consumption patterns and their implications for

household welfare.

METHOD

This study utilizes data from a nationally representative

survey conducted in India. The survey collects

information on employment status, household

characteristics,

and consumption

patterns

of

households across different regions of the country.

The dataset provides a comprehensive view of

household dynamics, allowing for an in-depth analysis

of the impact of employment status on consumption

patterns.

To analyze the relationship between employment

status and household consumption, the study employs

regression analysis. The dependent variable is

household consumption, measured by expenditure on

various categories such as food, housing, education,

healthcare,

and

leisure

activities.

The

main

independent

variable

is

employment

status,

categorized into formal employment, informal

employment, and unemployment. Control variables,

including household size, education level, and income,

are included to account for other factors that may

influence household consumption patterns.

The regression analysis explores the determinants of

household consumption, assessing the impact of

employment status while controlling for other

variables. The results provide insights into the

relationship between employment status and

household consumption patterns, shedding light on

the differences in consumption levels among different

employment categories.

Through this methodology, the study aims to

contribute to the understanding of how employment

status shapes household consumption patterns in

India and its implications for inclusive economic


background image

Volume 03 Issue 07-2023

3


International Journal Of Management And Economics Fundamental
(ISSN

2771-2257)

VOLUME

03

ISSUE

07

P

AGES

:

01-04

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.

448

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

growth and income inequality. By highlighting the

factors

influencing

household

consumption,

policymakers can develop targeted interventions and

policies to address disparities and promote sustainable

economic development in the country.

RESULTS

The regression analysis reveals significant findings

regarding the relationship between employment

status and household consumption patterns in India.

The results indicate that employment status has a

substantial impact on household consumption levels.

Formal employment is positively associated with

higher consumption levels, while informal employment

and unemployment are negatively associated with

household

consumption.

This

suggests

that

households with formal employment tend to have

higher purchasing power and are able to allocate a

larger portion of their income towards consumption

expenditure compared to households engaged in

informal employment or experiencing unemployment.

Furthermore, the analysis identifies other factors that

influence

household

consumption

patterns.

Household size, education level, and income are found

to be significant determinants of household

consumption. Larger households tend to have higher

consumption needs, while higher education levels and

income levels are associated with increased

consumption expenditure.

DISCUSSION

The findings of this study have important implications

for understanding household well-being and economic

development in India. The results highlight the

disparities in consumption patterns among different

employment categories, emphasizing the significance

of formal employment for higher household

consumption levels. This underscores the need for

policies and interventions that promote formal

employment opportunities to enhance household

welfare and economic growth.

The study also reveals the importance of education and

income in shaping consumption patterns. Higher

education levels can lead to better employment

prospects and increased income, enabling households

to allocate more resources towards consumption.

Policymakers should focus on improving education

access and quality to empower individuals and

households to attain higher levels of education, which

can

subsequently

contribute

to

increased

consumption levels and overall well-being.

Furthermore, the negative association between

informal employment and household consumption

suggests the vulnerability and limited economic

opportunities faced by households engaged in the

informal sector. Policies that promote formalization,

skills development, and social protection measures can

help uplift households from informal employment and

enhance their consumption capacities.


background image

Volume 03 Issue 07-2023

4


International Journal Of Management And Economics Fundamental
(ISSN

2771-2257)

VOLUME

03

ISSUE

07

P

AGES

:

01-04

SJIF

I

MPACT

FACTOR

(2021:

5.

705

)

(2022:

5.

705

)

(2023:

7.

448

)

OCLC

1121105677















































Publisher:

Oscar Publishing Services

Servi

CONCLUSION

In conclusion, this study demonstrates that

employment status significantly influences household

consumption patterns in India. Formal employment is

associated with higher consumption levels, while

informal employment and unemployment are linked to

lower consumption levels. Household size, education

level, and income also play significant roles in shaping

consumption patterns.

The findings emphasize the need for policies and

interventions that address the disparities in

employment opportunities and promote formal

employment. Efforts should be directed towards

improving education access and quality, as well as

implementing measures to support income generation

and social protection for vulnerable households. By

addressing these factors, policymakers can contribute

to reducing income inequality and promoting inclusive

economic growth in India.

Understanding

the

dynamics

of

household

consumption patterns in relation to employment

status is crucial for designing effective policies that

support sustainable development and improve the

well-being of households in the country.

REFERENCES

1.

Bhandari, P., & Deaton, A. (2009). Does

consumption inequality track income inequality in

India? The American Economic Review, 99(2), 368-

374.

2.

Chatterjee, B., & Ravallion, M. (2017). Did the

world's poor fare better or worse in the

globalization era? World Bank Economic Review,

31(3), 518-528.

3.

Datta, A., & Krishnan, P. (2014). Employment and

inequality outcomes in India. World Development,

56, 1-12.

4.

Himanshu, H. (2018). A review of India's rural

employment

guarantee

program.

World

Development, 112, 282-292.

5.

Maitra, P., & Ray, R. (2003). The effect of

employment guarantee schemes on poverty and

mobility in rural India: Evidence from West Bengal.

Journal of Development Economics, 71(2), 423-443.

6.

Rajan, R. G., & Subramanian, A. (2008). Aid and

growth: What does the cross-country evidence

really show? The Review of Economics and

Statistics, 90(4), 643-665.

7.

Ray, R. (2000). Inequality, poverty, and social

welfare in India. Journal of Economic Literature,

38(3), 923-968.

8.

Sharma, A. (2016). Informality and household

welfare in India. Journal of Development Studies,

52(5), 594-610.

9.

Subramanian, A., & Deaton, A. (1996). The demand

for food and calories. Journal of Political Economy,

104(1), 133-162.

10.

World Bank. (2021). World Development Indicators

2021. Washington, DC: World Bank Publications.

References

Bhandari, P., & Deaton, A. (2009). Does consumption inequality track income inequality in India? The American Economic Review, 99(2), 368-374.

Chatterjee, B., & Ravallion, M. (2017). Did the world's poor fare better or worse in the globalization era? World Bank Economic Review, 31(3), 518-528.

Datta, A., & Krishnan, P. (2014). Employment and inequality outcomes in India. World Development, 56, 1-12.

Himanshu, H. (2018). A review of India's rural employment guarantee program. World Development, 112, 282-292.

Maitra, P., & Ray, R. (2003). The effect of employment guarantee schemes on poverty and mobility in rural India: Evidence from West Bengal. Journal of Development Economics, 71(2), 423-443.

Rajan, R. G., & Subramanian, A. (2008). Aid and growth: What does the cross-country evidence really show? The Review of Economics and Statistics, 90(4), 643-665.

Ray, R. (2000). Inequality, poverty, and social welfare in India. Journal of Economic Literature, 38(3), 923-968.

Sharma, A. (2016). Informality and household welfare in India. Journal of Development Studies, 52(5), 594-610.

Subramanian, A., & Deaton, A. (1996). The demand for food and calories. Journal of Political Economy, 104(1), 133-162.

World Bank. (2021). World Development Indicators 2021. Washington, DC: World Bank Publications.