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Microchip Bags and Waste Sorting

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  • Picchio, Matteo

Abstract

We evaluate the effectiveness of placing microchips on the bags for the curbside collection in reducing the unsorted urban solid waste and increasing the fraction recycled. The microchip allows the waste collection company to identify the users that left the bags on the curb and check whether they properly sorted the waste. Our study is carried out in the Italian province of Macerata (Marche, Italy), where the bag microchips were introduced only in some municipalities in 2013. Exploiting monthly information on waste collection and natural experiment methods, we find that, two years after the programme start, the bag microchip increased the fraction recycled by 3-4:5 percentage points and decreased the monthly unsorted waste by 1-2 kilograms per capita.

Suggested Citation

  • Picchio, Matteo, 2021. "Microchip Bags and Waste Sorting," GLO Discussion Paper Series 772, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:772
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    1. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    2. Ida Ferrara & Paul Missios, 2005. "Recycling and Waste Diversion Effectiveness: Evidence from Canada," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(2), pages 221-238, February.
    3. Thomas C. Kinnaman, 2006. "Policy Watch: Examining the Justification for Residential Recycling," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 219-232, Fall.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    5. Fullerton Don & Kinnaman Thomas C., 1995. "Garbage, Recycling, and Illicit Burning or Dumping," Journal of Environmental Economics and Management, Elsevier, vol. 29(1), pages 78-91, July.
    6. Kinnaman, Thomas C. & Fullerton, Don, 2000. "Garbage and Recycling with Endogenous Local Policy," Journal of Urban Economics, Elsevier, vol. 48(3), pages 419-442, November.
    7. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    8. Hyungsik Roger Moon & Martin Weidner, 2015. "Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects," Econometrica, Econometric Society, vol. 83(4), pages 1543-1579, July.
    9. Bueno, Matheus & Valente, Marica, 2019. "The effects of pricing waste generation: A synthetic control approach," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 274-285.
    10. Dijkgraaf, E. & Gradus, R. H. J. M., 2004. "Cost savings in unit-based pricing of household waste: The case of The Netherlands," Resource and Energy Economics, Elsevier, vol. 26(4), pages 353-371, December.
    11. Alessandro Bucciol & Natalia Montinari & Marco Piovesan, 2015. "Do Not Trash the Incentive! Monetary Incentives and Waste Sorting," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(4), pages 1204-1229, October.
    12. Hai-Lan Yang & Robert Innes, 2007. "Economic Incentives and Residential Waste Management in Taiwan: An Empirical Investigation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(3), pages 489-519, July.
    13. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    14. Sebastian Galiani & Brian Quistorff, 2017. "The synth runner package: Utilities to automate synthetic control estimation using synth," Stata Journal, StataCorp LP, vol. 17(4), pages 834-849, December.
    15. Carattini, Stefano & Baranzini, Andrea & Lalive, Rafael, 2018. "Is Taxing Waste a Waste of Time? Evidence from a Supreme Court Decision," Ecological Economics, Elsevier, vol. 148(C), pages 131-151.
    16. Dijkgraaf, Elbert & Gradus, Raymond, 2009. "Environmental activism and dynamics of unit-based pricing systems," Resource and Energy Economics, Elsevier, vol. 31(1), pages 13-23, January.
    17. Bel, Germà & Gradus, Raymond, 2016. "Effects of unit-based pricing on household waste collection demand: A meta-regression analysis," Resource and Energy Economics, Elsevier, vol. 44(C), pages 169-182.
    18. David H. Autor, 2003. "Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 1-42, January.
    19. Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
    20. Besley, Timothy & Case, Anne, 2000. "Unnatural Experiments? Estimating the Incidence of Endogenous Policies," Economic Journal, Royal Economic Society, vol. 110(467), pages 672-694, November.
    21. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    22. Justin Wolfers, 2006. "Did Unilateral Divorce Laws Raise Divorce Rates? A Reconciliation and New Results," American Economic Review, American Economic Association, vol. 96(5), pages 1802-1820, December.
    23. Alexei Onatski, 2010. "Determining the Number of Factors from Empirical Distribution of Eigenvalues," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1004-1016, November.
    24. Rosenbaum, Paul R., 2007. "Interference Between Units in Randomized Experiments," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 191-200, March.
    25. Usui, Takehiro, 2008. "Estimating the effect of unit-based pricing in the presence of sample selection bias under Japanese Recycling Law," Ecological Economics, Elsevier, vol. 66(2-3), pages 282-288, June.
    26. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    27. Dukpa Kim & Tatsushi Oka, 2014. "Divorce Law Reforms And Divorce Rates In The Usa: An Interactive Fixed‐Effects Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 231-245, March.
    28. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
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    More about this item

    Keywords

    Recycling behaviour; unsorted waste; microchip bags; natural experiment; difference-in-differences; synthetic control method;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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