Environmental Quality and Economic Status of Households in Pakistan: A Case Study of Multan District

Authors

  • Furrukh Bashir
  • Haseeb-Ur- Rehman
  • Kishwar Parveen

DOI:

https://doi.org/10.47067/ramss.v2i2.16

Keywords:

Earnings, Expenditure, Assets, Multan District, Green Belt & Trees, Health Facilities, Irrigation Facility, Clean Drinking Water, Sui Gas

Abstract

The present study is aiming to identify the effect of Environmental Quality on the Economic Status of Households (Income, Expenditure and Assets) in Multan District of Southern Punjab, Pakistan. The results of OLS demonstrates that Age, Education, Formal Employment, Green Belt & Trees, Health Facilities, Irrigation Facility, Clean Drinking Water, Sui Gas Availability and Housing Condition are reported as the basis of Higher Income/ Expenditure of Households while Rural Area, Female to Male ratio and credit availability are reducing Income/ Expenditure of Households.  On the other side, Age, Education, Rural Location, Formal Employment, Credit Availability, Green Belt & Trees, Health Facilities, Irrigation Facility, Clean Drinking Water, Sui Gas Availability and Housing Condition are the origin of increasing Assets of Households while Female to male ratio is reducing Assets.

References

Wheeler, B. W. and Ben-Shlomo, Y. (2005). Environmental equity, air quality, socioeconomic status, and respiratory health: a linkage analysis of routine data from the Health Survey for England. J Epidemiol Community Health, 59, 948–954.

Resendea, F. M., Fernandesa, G. W., Andraded, D. C. and Néderd, H. D. (2017). Economic valuation of the ecosystem services provided by a protected area in the Brazilian Cerrado: application of the contingent valuation method. Braz. J. Biol., 77 (4), 762-773.

Khan, M. A. and Rehman, H. (2012). Regional Disparities in Human Capital: The Case of Pakistan. Pakistan Economic and Social Review, 50 (1), 57-69.

Shamrukh, M. and Abdel-Wahab, A. (2008). Riverbank filtration for sustainable water supply: application to a large-scale facility on the Nile River. Clean Techn Environ Policy, 10, 351–358

Hosonuma, N., Herold, M., Sy, V. D., De-Fries R. S., Brockhaus, M., Verchot, L., Angelsen, A. and Romijn, E. (2012). An assessment of deforestation and forest degradation drivers in developing countries. Environmental Research Letters, 7, 1-12.

Omay, R. E. (2013). The Relationship between Environment and Income: Regression Spline Approach. International Journal of Energy Economics and Policy, 3, 52-61.

Ewers, R. M. (2006). Interaction effects between economic development and forest cover determine deforestation rates. Global Environmental Change, 16, 161–169.

Chiarazzob, V., Olioa, L. D., Ibeasa, A. and Ottomanellib, M. (2014). Modeling the effects of environmental impacts and accessibility on real estate prices in industrial cities. Procedia - Social and Behavioral Sciences, 111, 460-469.

Wang, Y., Han, R. and Kubota, J. (2016). Is there an Environmental Kuznets Curve for SO2 emissions? A semi-parametric panel data analysis for China. Renewable and Sustainable Energy Reviews, 54, 1182-1188.

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Published

2020-07-26

How to Cite

Bashir, F. ., Rehman, H.-U.-., & Parveen, K. . (2020). Environmental Quality and Economic Status of Households in Pakistan: A Case Study of Multan District. Review of Applied Management and Social Sciences, 2(2), 73-81. https://doi.org/10.47067/ramss.v2i2.16

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