Solid Waste Management in Nagaon Town of Assam- An Application of Contingent Valuation Method
Dr. Ajit Debnath, Associate Professor, Department of Economics, Mahapurusha Srimanta Sankaradeva Viswavidyalaya, Nagaon, Assam: India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1545-1550 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5024018520/2020©BEIESP | DOI: 10.35940/ijrte.E5024.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Solid Waste in urban areas, popularly known as Municipal Solid Waste (SWM) refers to materials discarded in urban areas which municipalities are responsible for collection, transportation and final disposal. The Ministry of Environment and Forest (MoEF) Govt. of India defines Municipal Solid Waste (MSW) as commercial and residential waste generated in municipal or notified areas in either solid or semisolid form excluding industrial hazardous waste but including treated biomedical waste (MoEF, 2000). The paper was based on both primary and secondary sources of data. For collection of primary data, the study used stratified sampling technique. Firstly, Nagaon Municipality Board (NMB) was the universe of the study which included 26 wards. Secondly, NMB was divided into different zones in order to cover different groups of population. Finally, the households were selected by using random sampling technique. In order to fulfill the objectives of study, the contingent valuation method was used. Finally, a logit regression model was applied in order to determine the household’s willingness to pay for an improved solid waste management among the surveyed households.
Keywords: Solid Waste, Stratified Sampling Techniques, Contingent Valuation Method, Logit Regression Model.
Scope of the Article: Data Mining Methods, Techniques, And Tools.