A comprehensive evaluation of eco-productivity of the municipal solid waste service in Chile
Manuel Mocholi-Arce, Ramon Sala-Garrido, Maria Molinos-Senante, Alexandros Maziotis
A comprehensive evaluation of eco-productivity of the municipal solid waste service in Chile
● Dynamic eco-efficiency of solid waste services providers was assessed. | |
● Eco-productivity of Chilean municipalities improved by 1.28% per year. | |
● Technical progress was the main driver of eco-productivity change. |
Moving toward a circular economy requires improvement of the economic and environmental performance of municipalities in their provision of municipal solid waste (MSW) services. Understanding performance changes over years is fundamental to support decision-making. This study employs the Luenberger-Hicks-Moorsteen productivity indicator to evaluate eco-productivity change and its drivers in the MSW sector in Chile over the years 2015–2019. The further use of decision tree and linear regression analysis allows exploration of the interaction between operating characteristics and eco-productivity estimations. The results of the eco-productivity assessment show that, although the Chilean MSW sector was still facing a transitional period, from 2015 to 2019, eco-productivity increased 1.28% per year. Gains in eco-productivity were due to technical progress and small gains in efficiency, whereas scale effect had an adverse impact. Other factors such as waste spending per inhabitant and the amount of waste collected and recycled per inhabitant had a significant impact on the eco-productivity of Chilean municipalities.
Solid waste / Eco-productivity change / Luenberger-Hick-Moorsteen / Recycled waste / Regression tree / Circular economy
[1] |
Agovino M, Matricano D, Garofalo A. (2020). Waste management and competitiveness of firms in Europe: a stochastic frontier approach. Waste Management, 102: 528–540
CrossRef
Google scholar
|
[2] |
Amaral C, Isabel Pedro M, Cunha Ferreira D, Cunha Marques R. (2022). Performance and its determinants in the Portuguese municipal solid waste utilities. Waste Management, 139: 70–84
CrossRef
Google scholar
|
[3] |
Ang F, Kerstens P J. (2017). Decomposing the Luenberger–Hicks–Moorsteen Total Factor Productivity indicator: an application to U.S. agriculture. European Journal of Operational Research, 260(1): 359–375
CrossRef
Google scholar
|
[4] |
Aparicio J, López-Torres L, Santín D. (2018). Economic crisis and public education: a productivity analysis using a Hicks-Moorsteen index. Economic Modelling, 71: 34–44
CrossRef
Google scholar
|
[5] |
Araya-Córdova P J, Dávila S, Valenzuela-Levi N, Vásquez Ó C. (2021). Income inequality and efficient resources allocation policy for the adoption of a recycling program by municipalities in developing countries: the case of Chile. Journal of Cleaner Production, 309: 127305
CrossRef
Google scholar
|
[6] |
Baležentis T, Blancard S, Shen Z, Streimikiene D. (2021). Analysis of environmental total factor productivity evolution in European agricultural sector. Decision Sciences, 52(2): 483–511
CrossRef
Google scholar
|
[7] |
BaležentisT, KerstensK, ShenZ (2017). An environmental Luenberger–Hicks-Moorsteen. Total factor productivity indicator for OECD countries. Working Papers 2017-EQM-02, IESEG School of Management. Paris: IESEG School of Management
|
[8] |
Briec W, Kerstens K. (2004). A Luenberger-Hicks-Moorsteen productivity indicator: its relation to the Hicks-Moorsteen productivity index and the Luenberger productivity indicator. Economic Theory, 23(4): 925–939
CrossRef
Google scholar
|
[9] |
Briec W, Kerstens K. (2011). The Hicks-Moorsteen productivity index satisfies the determinateness axiom. Manchester School, 79(4): 765–775
CrossRef
Google scholar
|
[10] |
Briec W, Kerstens K, Peypoch N. (2012). Exact relations between four definitions of productivity indices and indicators. Bulletin of Economic Research, 64(2): 265–274
CrossRef
Google scholar
|
[11] |
Carvalho P, Marques R C. (2014). Economies of size and density in recycling of municipal solid waste in Portugal. Waste Management, 34: 12–20
CrossRef
Google scholar
|
[12] |
Chambers R G, Chung Y, Färe R. (1996). Benefit and distance functions. Journal of Economic Theory, 70(2): 407–419
CrossRef
Google scholar
|
[13] |
Chen X, Valdmanis V, Yu T. (2020). Productivity Growth in Chinese medical institutions during 2009–2018. Sustainability, 12(8): 3080
CrossRef
Google scholar
|
[14] |
Chung Y H, Färe R, Grosskopf S. (1997). Productivity and undesirable outputs: a directional distance function approach. Journal of Environmental Management, 51(3): 229–240
CrossRef
Google scholar
|
[15] |
CoelliT J, Prasada RaoD S, O’Donnell C J, BatteseG E (2005). An Introduction to Efficiency and Productivity Analysis. 2nd ed. New York: Springer
|
[16] |
De Jaeger S, Eyckmans J, Rogge N, Van Puyenbroeck T. (2011). Wasteful waste-reducing policies? The impact of waste reduction policy instruments on collection and processing costs of municipal solid waste. Waste Management, 31(7): 1429–1440
CrossRef
Google scholar
|
[17] |
Delgado-Antequera L, Gemar G, Molinos-Senante M, Gomez T, Caballero R, Sala-Garrido R. (2021). Eco-efficiency assessment of municipal solid waste services: influence of exogenous variables. Waste Management, 130: 136–146
CrossRef
Google scholar
|
[18] |
Díaz-Villavicencio G, Didonet S R, Dodd A. (2017). Influencing factors of eco-efficient urban waste management: evidence from Spanish municipalities. Journal of Cleaner Production, 164: 1486–1496
CrossRef
Google scholar
|
[19] |
Expósito A, Velasco F. (2018). Municipal solid-waste recycling market and the European 2020 Horizon Strategy: a regional efficiency analysis in Spain. Journal of Cleaner Production, 172: 938–948
CrossRef
Google scholar
|
[20] |
Fan X, Yu B, Chu Z, Chu X, Huang W C, Zhang L. (2020). A stochastic frontier analysis of the efficiency of municipal solid waste collection services in China. Science of the Total Environment, 743: 140707
CrossRef
Google scholar
|
[21] |
Färe R, Grosskopf S, Noh D W, Weber W L. (2005). Characteristics of a polluting technology: theory and practice. Journal of Econometrics, 126(2): 469–492
CrossRef
Google scholar
|
[22] |
Gastaldi M, Lombardi G V, Rapposelli A, Romano G. (2020). The Efficiency of waste sector in Italy: an application by data envelopment analysis. Environmental and Climate Technologies, 24(3): 225–238
CrossRef
Google scholar
|
[23] |
GeissdoerferM, SavagetP, BockenN M, HultinkE J (2017). The circular economy: a new sustainability paradigm? Journal of Cleaner Production, 143: 757–768
|
[24] |
Ghisellini P, Cialani C, Ulgiati S. (2016). A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. Journal of Cleaner Production, 114: 11–32
CrossRef
Google scholar
|
[25] |
Greco G, Allegrini M, Del Lungo C, Savellini P G, Gabellini L. (2015). Drivers of solid waste collection costs. Empirical evidence from Italy. Journal of Cleaner Production, 106: 364–371
CrossRef
Google scholar
|
[26] |
GreeneW H (2018). Econometric Analysis, 8th ed. Washington, DC: Pearson
|
[27] |
Guerrini A, Carvalho P, Romano G, Marques R C, Leardini C. (2017). Assessing efficiency drivers in municipal solid waste collection services through a nonparametric method. Journal of Cleaner Production, 147: 431–441
CrossRef
Google scholar
|
[28] |
Halkos G, Petrou K N. (2019). Assessing 28 EU member states’ environmental efficiency in national waste generation with DEA. Journal of Cleaner Production, 208: 509–521
CrossRef
Google scholar
|
[29] |
Halkos G E, Aslanidis P S C. (2023). New circular economy perspectives on measuring sustainable waste management productivity. Economic Analysis and Policy, 77: 764–779
CrossRef
Google scholar
|
[30] |
JamesG, Witten D, TibshiraniR, HastieT (2013). An Introduction to Statistical Learning with Applications in R. New York: Springer
|
[31] |
KazaS, Yao L, Bhada-TataP, Van WoerdenF (2018). What a waste 2.0: a global snapshot of solid waste management to 2050. Urban Development Series. Washington, DC: World Bank
|
[32] |
Kerstens K, Van De Woestyne I. (2014). Comparing Malmquist and Hicks-Moorsteen productivity indices: exploring the impact of unbalanced vs. balanced panel data. European Journal of Operational Research, 233(3): 749–758
CrossRef
Google scholar
|
[33] |
KumbhakarS C, WangH J, Horncastle A (2015). A Practitioner’s Guide to Stochastic Frontier Analysis. Cambridge: Cambridge University Press
|
[34] |
Llanquileo-Melgarejo P, Molinos-Senante M. (2021). Evaluation of economies of scale in eco-efficiency of municipal waste management: an empirical approach for Chile. Environmental Science and Pollution Research International, 28(22): 28337–28348
CrossRef
Google scholar
|
[35] |
Llanquileo-Melgarejo P, Molinos-Senante M. (2022). Assessing eco-productivity change in Chilean municipal solid waste services. Utilities Policy, 78: 101410
CrossRef
Google scholar
|
[36] |
Llanquileo-Melgarejo P, Molinos-Senante M, Romano G, Carosi L. (2021). Evaluation of the impact of separative collection and recycling of municipal solid waste on performance: an empirical application for Chile. Sustainability, 13(4): 2022
CrossRef
Google scholar
|
[37] |
Lo Storto C. (2021). Eco-productivity analysis of the municipal solid waste service in the Apulia region from 2010 to 2017. Sustainability, 13(21): 12008
CrossRef
Google scholar
|
[38] |
Luenberger D G. (1992). Benefit functions and duality. Journal of Mathematical Economics, 21(5): 461–481
CrossRef
Google scholar
|
[39] |
Marques R C, Simões P. (2009). Incentive regulation and performance measurement of the Portuguese solid waste management services. Waste Management & Research, 27(2): 188–196
CrossRef
Google scholar
|
[40] |
MMA (2018). National Registry of Reception, Storage and Waste Recovery Facilities in Chile. Santiago de Chile: Chilean Ministry of Environment
|
[41] |
Molinos-Senante M, Maziotis A. (2021). The Cost of reducing municipal unsorted solid waste: evidence from municipalities in Chile. Sustainability, 13(12): 6607
CrossRef
Google scholar
|
[42] |
Molinos-Senante M, Maziotis A, Sala-Garrido R, Mocholi-Arce M. (2022). How much does it cost to collect recyclable and residual waste in medium-income countries? A case study in the Chilean waste sector. Journal of the Air and Waste Management Association, 72(10): 1083–1094
CrossRef
Google scholar
|
[43] |
Nandy A, Singh P K. (2021). Application of fuzzy DEA and machine learning algorithms in efficiency estimation of paddy producers of rural Eastern India. Benchmarking, 28(1): 229–248
CrossRef
Google scholar
|
[44] |
O’DonnellC J (2008). An aggregate quantity-price framework for measuring and decomposing productivity and profitability change. Centre for Efficiency and Productivity Analysis Working Papers WP07/2008. Queensland: University of Queensland
|
[45] |
OECD (2023). Waste Generation Per Capita. Paris: Organisation for Economic Co-operation and Development
|
[46] |
Pérez-López G, Prior D, Zafra-Gómez J L. (2018). Temporal scale efficiency in DEA panel data estimations:. an application to the solid waste disposal service in Spain. Omega, 76: 18–27
CrossRef
Google scholar
|
[47] |
Peyrache A. (2014). Hicks-Moorsteen versus Malmquist: a connection by means of a radial productivity index. Journal of Productivity Analysis, 41(3): 435–442
CrossRef
Google scholar
|
[48] |
Rebai S, Yahia F B, Essid H. (2020). A graphically based machine learning approach to predict secondary schools performance in Tunisia. Socio-Economic Planning Sciences, 70: 100724
CrossRef
Google scholar
|
[49] |
Ríos A M, Picazo-Tadeo A J. (2021). Measuring environmental performance in the treatment of municipal solid waste: the case of the European Union-28. Ecological Indicators, 123: 107328
CrossRef
Google scholar
|
[50] |
Rogge N, De Jaeger S. (2013). Measuring and explaining the cost efficiency of municipal solid waste collection and processing services. Omega, 41(4): 653–664
CrossRef
Google scholar
|
[51] |
Romano G, Ferreira D C, Marques R, Carosi L. (2020). Waste services’ performance assessment: the case of Tuscany, Italy. Waste Management, 118: 573–584
CrossRef
Google scholar
|
[52] |
Romano G, Molinos-Senante M. (2020). Factors affecting eco-efficiency of municipal waste services in Tuscan municipalities: an empirical investigation of different management models. Waste Management, 105: 384–394
CrossRef
Google scholar
|
[53] |
Romano G, Molinos-Senante M, Caros L, Llanquileo-Melgarejo P, Sala-Garrido R, Mocholi-Arce M. (2021). Assessing the dynamic eco-efficiency of Italian municipalities by accounting for the ownership of the entrusted waste utilities. Utilities Policy, 73: 101311
CrossRef
Google scholar
|
[54] |
Sala-Garrido R, Mocholi-Arce M, Molinos-Senante M, Maziotis A. (2021). Marginal abatement cost of carbon dioxide emissions in the provision of urban drinking water. Sustainable Production and Consumption, 25: 439–449
CrossRef
Google scholar
|
[55] |
Sala-Garrido R, Mocholi-Arce M, Molinos-Senante M, Maziotis A. (2022). Measuring technical, environmental and eco-efficiency in municipal solid waste management in Chile. International Journal of Sustainable Engineering, 15(1): 71–85
CrossRef
Google scholar
|
[56] |
Sala-Garrido R, Molinos-Senante M, Mocholi-Arche M. (2019). Comparing changes in productivity among private water companies integrating quality of service: a metafrontier approach. Journal of Cleaner Production, 216: 597–606
CrossRef
Google scholar
|
[57] |
Salazar-Adams A. (2021). The efficiency of municipal solid waste collection in Mexico. Waste Management, 133: 71–79
CrossRef
Google scholar
|
[58] |
Saravia-Pinilla M H, Daza-Beltrán C, García-Acosta G. (2019). Eco-productivity: a useful guide for sustainability decision-making. Advances in Intelligent Systems and Computing, 825: 950–959
CrossRef
Google scholar
|
[59] |
Sarra A, Mazzocchitti M, Nissi E. (2020). A methodological proposal to determine the optimal levels of inter-municipal cooperation in the organization of solid waste management systems. Waste Management, 115: 56–64
CrossRef
Google scholar
|
[60] |
Sarra A, Mazzocchitti M, Nissi E, Quaglione D. (2019). Considering spatial effects in the evaluation of joint environmental and cost performance of municipal waste management systems. Ecological Indicators, 106: 105483
CrossRef
Google scholar
|
[61] |
Sarra A, Mazzocchitti M, Rapposelli A. (2017). Evaluating joint environmental and cost performance in municipal waste management systems through data envelopment analysis: scale effects and policy implications. Ecological Indicators, 73: 756–771
CrossRef
Google scholar
|
[62] |
Simões P, Carvalho P, Marques R C. (2012). Performance assessment of refuse collection services using robust efficiency measures. Resources, Conservation and Recycling, 67(10): 56–66
CrossRef
Google scholar
|
[63] |
Simões P, De Witte K, Marques R C. (2010). Regulatory structures and operational environment in the Portuguese waste sector. Waste Management, 30(6): 1130–1137
CrossRef
Google scholar
|
[64] |
SINIA (2021). Environmental Information System in Chile: Waste. Santiago de Chile: Chilean Environment Ministry
|
[65] |
SINIM (2020). System of municipal information in Chile. Santiago de Chile: Chilean Secretary for Regional Development
|
[66] |
UN (2016). Sustainable Development Goals Report 2016. Washington, DC: UN
|
[67] |
Valenzuela-Levi N. (2019). Factors influencing municipal recycling in the global south: the case of Chile. Resources, Conservation and Recycling, 150: 104441
CrossRef
Google scholar
|
[68] |
Valenzuela-Levi N. (2021). Poor performance in municipal recycling: the case of Chile. Waste Management, 133: 49–58
CrossRef
Google scholar
|
[69] |
Valenzuela-LeviN, Araya-CórdovaP J, DávilaS, Vásquez O C (2021). Promoting adoption of recycling by municipalities in developing countries: Increasing or redistributing existing resources? Resources, Conservation and Recycling, 164: 105173
|
[70] |
Vishwakarma A, Kulshrestha M, Kulshreshtha M. (2012). Efficiency evaluation of municipal solid waste management utilities in the urban cities of the state of Madhya Pradesh, India, using stochastic frontier analysis. Benchmarking, 19(3): 340–357
CrossRef
Google scholar
|
[71] |
WooldridgeJ M (2010). Econometric Analysis of Cross Section and Panel Data. London: MIT Press
|
[72] |
Zhang J, Fang H, Peng B, Wang X, Fang S. (2016). Productivity growth accounting for undesirable outputs and its influencing factors: the Case of China. Sustainability, 8(11): 1166
CrossRef
Google scholar
|
/
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