Abstract
Comprehensive study of the factors influencing household solid waste (HSW) generation is crucial and fundamental for exploring the generation mechanism and forecasting future dynamics of HSW. A case study of Xiamen Island, China was employed to reveal the direct and indirect effects of demographic/socioeconomic factors on solid waste generation at the urban household scale. Based on a face-to-face questionnaire and two-stage survey of solid waste generation, a path analysis model was built. Results showed that the proposed path model exhibited good fit indices. Family size and dinning-at-home rate (DR), whose coefficients were −0.40 and 0.43, respectively, were the two major factors influencing HSW directly. Moreover, family size, education level, employment rate and age structure played different degrees of indirect effects on HSW generation through respective paths, which should not be ignored. In terms of total effects, coefficients of family size, DR and employment rate were −0.46, 0.43 and −0.37, respectively, which were three most dominant factors influencing HSW generation. As for waste composition, organic waste was the most representative of HSW dynamics, and was the most sensitive to impact by the factors studied. Quantitative results of this study have important policy implications for sustainable municipal solid waste management.
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Chen XD, Geng Y, Fujita T (2010) An overview of municipal solid waste management in China. Waste Manag 30(4):716–724
Zhu MH, Fan XM, Rovetta A, He QC, Vicentini F, Liu BK, Giusti A, Liu Y (2009) Municipal solid waste management in Pudong New Area, China. Waste Manag 29(3):1227–1233
Giusti L (2009) A review of waste management practices and their impact on human health. Waste Manag 29(8):2227–2239
Xu LL, Gao PQ, Cui SH, Liu C (2013) A hybrid procedure for MSW generation forecasting at multiple time scales in Xiamen City, China. Waste Management 33(6):1324–1331
Zhang H, Wen ZG (2014) The consumption and recycling collection system of PET bottles: a case study of Beijing, China. Waste Manag 34(6):987–998
He PJ (2012) Municipal solid waste in rural areas of developing country: do we need special treatment mode? Waste Manag 32(7):1289–1290
National Bureau of Statistics. (2012) China statistical yearbook 2012. China Statistics Press, Beijing
Beigl P, Lebersorger S, Salhofer S (2008) Modelling municipal solid waste generation: a review. Waste Manag 28(1):200–214
Dangi MB, Urynowicz MA, Gerow KG, Thapa RB (2008) Use of stratified cluster sampling for efficient estimation of solid waste generation at household level. Waste Manag Res 26(6):493–499
Goduraa S, Aggarwalb AK, Kumard R, Bhatiac P (2012) Factors influencing household level municipal solid waste practices in urban areas of North and South India: a cross-sectional study. Waste Manag 32(9):1728–1730
Ojeda-Benitez S, Vega CAD, Marquez-Montenegro MY (2008) Household solid waste characterization by family socioeconomic profile as unit of analysis. Resour Conserv Recycl 52(7):992–999
Otoma S, Hoang H, Hong H, Miyazaki I, Diaz R (2013) A survey on municipal solid waste and residents’ awareness in Da Nang city, Vietnam. J Mater Cycles Waste Manag 15(2):187–194
Thanh NP, Matsui Y, Fujiwara T (2010) Household solid waste generation and characteristic in a Mekong Delta city, Vietnam. J Environ Manag 91(11):2307–2321
Lebersorger S, Beigl P (2011) Municipal solid waste generation in municipalities: quantifying impacts of household structure, commercial waste and domestic fuel. Waste Manag 31(9–10):1907–1915
Pan LY, Lin T, Xiao LS, Zhao Y, Cui SH (2010) Household waste management for a peri-urban area based on analysing greenhouse gas emissions for Jimei District, Xiamen, China. Int J Sustain Dev World Ecol 17(4):342–349
Fan CZ, Zhang SJ (1997) Study on grey prediction and constitute characteristics of life refuse in foshan city. Res Environ Sci 10(4):61–64
Wang H, Wang CM (2013) Municipal solid waste management in Beijing: characteristics and challenges. Waste Manage Res 31(1):67–72
Daskalopoulos E, Badr O, Probert SD (1998) Municipal solid waste: a prediction methodology for the generation rate and composition in the European Union countries and the US of America. Resour Conserv Recycl 24(2):155–166
Du WP, Gao QX, Zhang EC, Jiao QL, Wu JG (2006) The emission status and composition analysis of municipal solid waste in China. Res Environ Sci 19(5):85–90
Wright S (1934) The method of path coefficients. Ann Math Stat 5(3):161–215
Streiner DL (2005) Finding our way: an introduction to path analysis. Can J Psychiatry-Rev Canadienne De Psychiatrie 50(2):115–122
Dessardo NS, Mustac E, Dessardo S, Banac S, Peter B, Finderle A, Maric M, Hailer H (2012) Chorioamnionitis and chronic lung disease of prematurity: a path analysis of causality. Am J Perinatol 29(2):133–140
Kline RB (2011) Principles and practice of structural equation modeling, third edition. Guilford Press, New York
Jaccard JJ, Wan CK (1996) LISREL Approaches to interaction effects in multiple regression. Sage Publications, Thousand Oaks
Bryman A, Cramer D (1994) Quantitative data analysis for social scientists. Routledge, New York
Schumaker RE, Lomax RG (2010) A beginner’s guide to structural equation modeling, third edtion. Routlege, New York
Bandara NJGJ, Hettiaratchi JPA, Wirasinghe SC, Pilapiiya S (2007) Relation of waste generation and composition to socio-economic factors: a case study. Environ Monit Assess 135(1–3):31–39
Dangi MB, Pretz CR, Urynowicz MA, Gerow KG, Reddy JM (2011) Municipal solid waste generation in Kathmandu, Nepal. J Environ Manag 92(1):240–249
Getahun T, Mengistie E, Haddis A, Wasie F, Alemayehu E, Dadi D, Van Gerven T, Van der Bruggen B (2012) Municipal solid waste generation in growing urban areas in Africa: current practices and relation to socioeconomic factors in Jimma, Ethiopia. Environ Monit Assess 184(10):6337–6345
Lin T, Yu YJ, Bai XM, Feng L, Wang J (2013) Greenhouse Gas Emissions Accounting of Urban Residential Consumption: a Household Survey Based Approach. PLoS One 8(2):e55642
Monavari SM, Omrani GA, Karbassi AR, Raof FF (2012) The effects of socioeconomic parameters on household solid-waste generation and composition in developing countries: a case study: Ahvaz, Iran. Environ Monit Assess 184(4):1841–1846
Afroz R, Hanaki K, Tudin R (2011) Factors affecting waste generation: a study in a waste management program in Dhaka City, Bangladesh. Environ Monit Assess 179(1–4):509–519
Sujauddin M, Huda SMS, Hoque ATMR (2008) Household solid waste characteristics and management in Chittagong, Bangladesh. Waste Manag 28(9):1688–1695
Yousuf TB, Rahman M (2007) Monitoring quantity and characteristics of municipal solid waste in Dhaka City. Environ Monit Assess 135(1–3):3–11
Ogwueleka TC (2013) Survey of household waste composition and quantities in Abuja, Nigeria. Resour Conserv Recycl 77(8):52–60
Jin JJ, Wang ZS, Ran SH (2006) Estimating the public preferences for solid waste management programmes using choice experiments in Macao. Waste Manage Res 24(4):301–309
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The authors gratefully acknowledge financial support from the Key Program of the Chinese Academy of Sciences (KZZD-EW-16), Ministry of Science and Technology of China (2011DFB91710) and the Science and Technology Project of Xiamen City, China (3502Z20130037).
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Xu, L., Lin, T., Xu, Y. et al. Path analysis of factors influencing household solid waste generation: a case study of Xiamen Island, China. J Mater Cycles Waste Manag 18, 377–384 (2016). https://doi.org/10.1007/s10163-014-0340-0
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DOI: https://doi.org/10.1007/s10163-014-0340-0