Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This paper attempts to determine the economic value of police response amid the pandemic using the Willingness to Accept (WTA) approach to approximate the work-leisure labor supply dynamics. The revealed preference for a higher income through contingent amount of a public good of providing public safety will help understand on the decision faced by the police in rendering public service in the middle of public health crisis.
The police force as the primary driver of community public safety had been working as frontliner in enforcing the health protocols to curb the spread of the pandemic.
With 1560 police officers as participants, the study found out that the WTA amounting to P20000 which denotes additional income does not lead to leisure, instead, more hours dedicated to public safety. The economic value of police response amid pandemic amounted to Php220-M.
Another interesting result that the WTA is influenced by stress related to COVID19 response, and not by effective police response and public trust. The police officers are driven by the non-monetary currency in the performance of their duties; higher public trust compensates them more than higher compensatory income during this time of the pandemic.
Keywords:
Willingness to Accept, Police Response, Public Trust
Cite Article:
"Economic Valuation of Police Response During Pandemic", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.988 - 999, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208169.pdf
Downloads:
000205219
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator