Estimating Willingness to Pay for Recreational Services of Public Parks

Authors

  • Khem Raj Subedi
  • Nathuram Chaudhary
  • Min Bahadur Shahi

DOI:

https://doi.org/10.54536/ajebi.v1i1.143

Keywords:

Revealed Preference Method, Willingness to pay, Poisson regression Model, Travel Cost Method

Abstract

The study aimed to estimate the benefits derived from the park to whole society and identify the socio-economic determinants of willingness to pay (WTP) of public park visitors. The estimated Poisson regression analysis result showed that the visit rate of the visitors was significantly predicted by their round-trip. Likewise, as per the regression analysis output result proved that various variables like income level, age, years of schooling and dummy variables perceived park quality, place of residence, sex and employment status of visitors and average stay hours in the park significantly predicted the WTP of the respondent visitors. Similarly, based on stated willingness to pay for the park entry fee, the existing fee is far below than their WTP. This evidence indicates that Tikapur Banglow Park (TBP) bestows huge benefits to the whole society. There should be comprehensive reform project to avail timely adequate park service so as to raise utility from the park.

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Author Biographies

Khem Raj Subedi

Assistant Professor
Farwestern University,
Nepal

Nathuram Chaudhary

Associate Professor
Farwestern University,
Nepal

Min Bahadur Shahi

Assistant Professor
Farwestern University,
Nepal

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Published

2022-03-09

How to Cite

Subedi, K. R., Chaudhary, N., & Shahi, M. B. (2022). Estimating Willingness to Pay for Recreational Services of Public Parks. American Journal of Economics and Business Innovation, 1(1), 30–38. https://doi.org/10.54536/ajebi.v1i1.143