Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 47, Pages: 1-7
Ashwani Kumar1*, Gaurav Dixit1 and Dolonchapa Prabhakar2
1 Department of Management Studies, Indian Institute of Technology, Roorkee - Haridwar Highway, Roorkee – 247667, Uttarakhand, India; [email protected], [email protected] 2 School of Civil Engineering, Lovely Professional University, Jalandhar-Delhi G.T. Road, National Highway 1, Phagwara – 144411, Punjab, India; [email protected]
*Author for correspondence
Department of Management Studies, Indian Institute of Technology, Roorkee - Haridwar Highway, Roorkee – 247667, Uttarakhand, India; [email protected]
Background/Objective: Providing deeper layout for factors, matters that relate to Municipal Solid Waste Management (MSWM) and to provide analysis about various key factors that play vital role in increasing efficiency of municipal waste management. Methods/Statistical Analysis: The pilot study has been carried out in Punjab region. The analysis has been carried out on the following dependent and independent variables. SPSS software (SPSS 20.0) was used to analyze the data. Finding: Results from the correlation analysis predicted that all variable except Poor collection, transportation and disposal are significant and willing-to-pay has the highest correlation value. Whereas from the multiple regression analysis, it was analyzed that lack of training, awareness, poor collection, transportation and disposal are negatively related with the dependent variable. Applications/Improvements: Study recommends proper collection centers are required for waste collection. Government may more focus on disposal of waste by developing wide range if landfills and maintain the existing landfilling methods. Further efforts of reducing municipal solid waste includes new technological solution of disposal and collection and increases communal responsiveness through more education and awareness on municipal solid waste.
Keywords: Correlation, Factors, Municipal Solid Waste (MSW), Municipal Solid Waste Management (MSWM), Multiple Regressions, SPSS
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