Abstract
We investigate the unintended consequences of carryout grocery bag (CGB) regulations by looking at the impact on sales of alternative plastic bag products. We extend the literature by studying two types of CGB regulations, bag bans and bag fees. Using retail scanner data and employing a general synthetic control method, we find that both types of CGB regulations are associated with significantly higher plastic trash bag sales. We estimate that CGB regulations lead to an average increase in purchased plastics of 127 pounds per store per month, ranging from 30 to 135 (37–224) pounds for 4-gallon (8-gallon) trash bags. These results confirm previous findings on bag bans and provide new evidence on bag fees. In general, the effects do not differ across CGB regulations, but some heterogeneity exists. Our results highlight unintentional spillover effects of narrowly targeted policies on other unregulated waste.
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Data Availability
Restrictions apply to the availability of the data presented in this study. Data was obtained from the University of Chicago, Chicago Booth, and Nielsen with their permission. Note that the University of Chicago, Chicago Booth, and Nielsen make no warranty of any kind, express or implied, with respect to the merchantability, fitness, condition, use or appropriateness for subscriber’s purposes of the data furnished to licensee and researcher under this agreement. All such data are supplied on an "as is" basis.
Notes
According to the National Conference of State Legislatures. http://www.ncsl.org/research/environment-and-natural-resources/plastic-bag-legislation.aspx. Accessed October 25, 2019.
National Conference of State Legislatures, http://www.ncsl.org/research/environment-and-natural-resources/plastic-bag-legislation.aspx. Accessed October 25, 2019.
Following Abadie (2021) we use all observations that are available for the post-treatment period. This results in different pre- and post-treatment lengths across the different programs. In “Appendix B” we present all results (figures and tables) for equivalent analysis in which we restrict the sample so that the post-treatment periods are equivalent across programs, this results in a substantially smaller data set for some jurisdictions. While qualitatively the effects are similar to our base analysis, the statistical significance is diminished.
The lower and upper bound of the increase in plastic from both 4- and 8-gallon trash bag is 30 to 224 lb/store-month. Its mid-point estimate is 127 lb/store-month. The weight of a 12″ × 7″ × 22″ disposable GCBs is 0.013 lb/bag retrieved from https://www.uline.com/Product/Detail/S-3632/Plastic-Shopping-Bags/. Accessed February 28, 2021.
References
Abadie A (2021) Using synthetic controls: feasibility, data requirements, and methodological aspects. J Econ Lit 59(2):391–425
Abadie A, Diamond A, Hainmueller J (2010) Synthetic control methods for comparative case studies: estimating the effect of California’s tobacco control program. J Am Stat Assoc 105(490):493–505
Abadie A, Gardeazabal J (2003) The economic costs of conflict: a case study of the basque country. Am Econ Rev 93(1):113–132
Arkhangelsky D et al (2019) Synthetic difference in differences. Cambridge
Ashenfelter O (1978) Estimating the effect of training programs on earnings. Rev Econ Stat 60(1):47–57
Asian Development Bank (2019) Asian Development Bank, ADB Launches $5 Billion Healthy Oceans Action Plan. https://www.adb.org/news/adb-launches-5-billion-healthy-oceans-action-plan. Accessed 25 October, 2019
Athey S, Imbens GW (2017) The state of applied econometrics: causality and policy evaluation. J Econ Perspect 31:3–32
Bag the Ban (2019) Bag the Ban. https://www.bagtheban.com/
Bai J (2009) Panel data models with interactive fixed effects. Econometrica 77(4):1229–1279
Clapp J, Swanston L (2009) Doing away with plastic shopping bags: international patterns of norm emergence and policy implementation. Environ Politics 18(3):315–332
Convery F, McDonnell S, Ferreira S (2007) The most popular tax in Europe? Lessons from the Irish plastic bags levy. Environ Resource Econ 38(1):1–11
Dikgang J, Leiman A, Visser M (2012) Analysis of the plastic-bag levy in South Africa. Resour Conserv Recycl 66:59–65
Homonoff TA (2018) Can small incentives have large effects? The impact of taxes versus bonuses on disposable bag use. Am Econ J Econ Pol 10(4):177–210
Internal Revenue Service (2021) SOI Tax stats, individual statistical tables by size of adjusted gross income. https://www.irs.gov/statistics/soi-tax-stats-individual-statistical-tables-by-size-of-adjusted-gross-income. Accessed 19 July, 2021
Martinho G, Balaia N, Pires A (2017) The portuguese plastic carrier bag tax: the effects on consumers’ behavior. Waste Manag 61:3–12
Poortinga W, Whitmarsh L, Suffolk C (2013) The introduction of a single-use carrier bag charge in wales: attitude change and behavioural spillover effects. J Environ Psychol 36:240–247
Taiwan Environmental Protection Administration (2019) Simultaneous inspection launched nationwide following start of ban on single-use plastic straws. Taiwan Environmental Protection Administration. https://www.epa.gov.tw/eng/F7AB26007B8FE8DF/f8fb56de-5c07-4b0e-9cca-3f07fadcae78. Accessed 2 September, 2021
Taylor R (2019) Bag leakage: the effect of disposable carryout bag regulations on unregulated bags. J Environ Econ Manag 93:254–271
Taylor R (2020) A mixed bag: the hidden time costs of regulating consumer behavior. J Assoc Environ Resour Econ 7(2):345–378
Taylor R, Villas-Boas SB (2016) Bans vs. fees: disposable carryout bag policies and bag usage. Appl Econ Perspect Policy 38(2):351–372
Thomas GO, Poortinga W, Sautkina E (2016) The welsh single-use carrier bag charge and behavioural spillover. J Environ Psychol 47:126–135
Thompson RC et al (2004) Lost at Sea: Where Is All the Plastic? Science 304(5672):838
U.S. Census Bureau (2021) Historical population density data (1910–2020)
Xu Y (2017) Generalized synthetic control method: causal inference with interactive fixed effects models. Polit Anal 25:57–76
Acknowledgements
The authors acknowledge support through Texas AgriLife Research with support from the USDA National Institute of Food and Agriculture, Hatch project 1011850.
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Appendices
Appendices
Detailed estimation results and the policy effect on unit prices of trash bags are presented in this section.
1.1 Appendix A: Endogeneity Checks and Estimation Results
See Figs.
Policy effect on 4 and 8 gallon trash bag unit prices. Note The figures depict differences in trash bag sales between a treated county and synthetic control over time. The x-axis is a rescaled time horizon (in months), where Month 0 is the month implementing the policy. The policy effects on trash bag sales are estimated by Eq. (1). The intervals in gray indicate 95% confidence intervals constructed by bootstrapped standard errors. The result shows that the sales of 4 gallon trash bags increase in each study area due to the implementation of the CGB regulations
7 and
Policy effect on 13 and above 13 gallon trash bag unit prices. Note The figures depict differences in trash bag sales between a treated county and synthetic control over time. The x-axis is a rescaled time horizon (in months), where Month 0 is the month implementing the policy. The policy effects on trash bag sales are estimated by Eq. (1). The intervals in gray indicate 95% confidence intervals constructed by bootstrapped standard errors. The result shows that the sales of 13 gallon trash bags are not significantly affected by the implementation of the CGB regulations
8 and Tables
3,
4,
5 and
6.
1.2 Appendix B: Synthetic Control Model Estimated with Less Observations
See Figs.
Policy effect on 4 and 8 gallon trash bag sales (shorter period). Note The figures depict differences in trash bag sales between a treated county and synthetic control over time. The x-axis is a rescaled time horizon (in months), where Month 0 is the month implementing the policy. The policy effects on trash bag sales are estimated by Eq. (1). The intervals in gray indicate 95% confidence intervals constructed by bootstrapped standard errors. The result shows that the sales of 4 and 8 gallon trash bags increase in each study area due to the implementation of the CGB regulations
9,
Policy effect on 13 and above 13 gallon trash bag sales (shorter period). Note The figures depict differences in trash bag sales between a treated county and synthetic control over time. The x-axis is a rescaled time horizon (in months), where Month 0 is the month implementing the policy. The policy effects on trash bag sales are estimated by Eq. (1). The intervals in gray indicate 95% confidence intervals constructed by bootstrapped standard errors. The result shows that the sales of 13 and above 13 gallon trash bags are not significantly affected by the implementation of the CGB regulations
10,
Policy effect on 4 and 8 gallon trash bag unit prices (shorter period). Note The figures depict differences in trash bag sales between a treated county and synthetic control over time. The x-axis is a rescaled time horizon (in months), where Month 0 is the month implementing the policy. The policy effects on trash bag sales are estimated by Eq. (1). The intervals in gray indicate 95% confidence intervals constructed by bootstrapped standard errors. The result shows that the sales of 4 gallon trash bags increase in each study area due to the implementation of the CGB regulations
11,
Policy effect on 13 and above 13 gallon trash bag unit prices (shorter period). Note The figures depict differences in trash bag sales between a treated county and synthetic control over time. The x-axis is a rescaled time horizon (in months), where Month 0 is the month implementing the policy. The policy effects on trash bag sales are estimated by Eq. (1). The intervals in gray indicate 95% confidence intervals constructed by bootstrapped standard errors. The result shows that the sales of 13 gallon trash bags are not significantly affected by the implementation of the CGB regulations
12,
Effect of the CGB regulations on trash bag sales (shorter period). Note The average policy effects on trash bag sales are estimated by Eq. (1). The length of error bars indicates a 95% confidence interval produced by bootstrapped standard errors with the and estimated by Eq. (1). The vertical axis indicates the average treatment effect on treated over time, measured in the log of bags sold per store. Percentage numbers indicate converted change rates of increasing sales calculated by \(\left[exp({\delta }_{it})-1\right]\times 100\), where \({\delta }_{it}\) is the average treatment effect as denoted in Eq. (1)
13 and
Test for price endogeneity (shorter period). Note The average policy effects on trash bag prices are estimated by Eq. (1) with unit prices as the dependent variable and sales as the independent variable. The length of error bars indicates a 95% confidence interval produced by bootstrapped standard errors. The result shows that the policy does not have a significant effect on trash bag prices for all types of trash bags in each study area
14 and Tables
7,
8,
9 and
10.
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Huang, YK., Woodward, R.T. Spillover Effects of Grocery Bag Legislation: Evidence of Bag Bans and Bag Fees. Environ Resource Econ 81, 711–741 (2022). https://doi.org/10.1007/s10640-022-00646-5
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DOI: https://doi.org/10.1007/s10640-022-00646-5