[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/bla/inecol/v24y2020i2p383-399.html
   My bibliography  Save this article

Overcoming climate change adaptation barriers: A study on food–energy–water impacts of the average American diet by demographic group

Author

Listed:
  • Joe F. Bozeman
  • Rayne Bozeman
  • Thomas L. Theis
Abstract
Effectively adapting to climate change involves overcoming social and ecological system barriers. The present study uses a three‐phase adaptation framework to propose adaptation strategies aimed at overcoming socioecological barriers of the food–energy–water (FEW) nexus. Cradle‐to‐farm‐gate land, greenhouse gas (GHG), and water impacts—that derive from food consumption in the United States—are analyzed and differentiated by major demographic groups (Black, Latinx, and White). Results indicate that the White demographic yields the highest per capita GHG (680 kg of CO2 eq⋅year−1) and water impacts (328,600 L⋅year−1) from food consumption, whereas the Black demographic yields the highest per capita land impacts (1,770 m2⋅year−1) from food consumption. Our findings suggest that obtaining data with the intention of building consensus across sociodemographic lines overcomes barriers in the understanding phase, leading to increased social receptivity for many planning and managing phase processes. Specifically, we find that identifying and developing leaders who possess the cognitive and interpersonal capacity to manage many variables and stakeholders is key to assessing and selecting adaptation options in the planning phase. We also propose using government programming to encourage environmentally friendly food purchasing behavior. Then, we discuss how our proposals could be used in adaptation feasibility and evaluation activities in the managing phase. In all, these findings facilitate the development of improved climate change adaptation and policy by satisfying the understanding phase of the climate change adaptation framework, establishing a cross‐disciplinary methodological approach to addressing socioecological problems, and providing useful FEW impact data for FEW nexus and climate change researchers.

Suggested Citation

  • Joe F. Bozeman & Rayne Bozeman & Thomas L. Theis, 2020. "Overcoming climate change adaptation barriers: A study on food–energy–water impacts of the average American diet by demographic group," Journal of Industrial Ecology, Yale University, vol. 24(2), pages 383-399, April.
    • Handle: RePEc:bla:inecol:v:24:y:2020:i:2:p:383-399
    DOI: 10.1111/jiec.12859
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jiec.12859
    Download Restriction: no
    File URL: https://libkey.io/10.1111/jiec.12859?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kizilaslan, Halil, 2009. "Input-output energy analysis of cherries production in Tokat Province of Turkey," Applied Energy, Elsevier, vol. 86(7-8), pages 1354-1358, July.
    2. Aronsson, Thomas & Schöb, Ronnie, 2018. "Climate change and psychological adaptation: A behavioral environmental economics approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 79-84.
    3. Röös, Elin & Patel, Mikaela & Spångberg, Johanna, 2016. "Producing oat drink or cow's milk on a Swedish farm — Environmental impacts considering the service of grazing, the opportunity cost of land and the demand for beef and protein," Agricultural Systems, Elsevier, vol. 142(C), pages 23-32.
    4. Kathryn Cronquist & Sarah Lauffer, "undated". "Characteristics of Supplemental Nutrition Assistance Program Households: Fiscal Year 2017," Mathematica Policy Research Reports 9ceac00f7e0f49ef85d3cc7eb, Mathematica Policy Research.
    5. Boumtje, Pierre I. & Huang, Chung L. & Lee, Jonq-Ying & Lin, Biing-Hwan, 2005. "Dietary habits, demographics, and the development of overweight and obesity among children in the United States," Food Policy, Elsevier, vol. 30(2), pages 115-128, April.
    6. González, Alejandro D. & Frostell, Björn & Carlsson-Kanyama, Annika, 2011. "Protein efficiency per unit energy and per unit greenhouse gas emissions: Potential contribution of diet choices to climate change mitigation," Food Policy, Elsevier, vol. 36(5), pages 562-570, October.
    7. Karen L. O'Brien & Johanna Wolf, 2010. "A values‐based approach to vulnerability and adaptation to climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 1(2), pages 232-242, March.
    8. Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe, 2012. "Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 958-975, September.
    9. Lungarska, Anna & Chakir, Raja, 2018. "Climate-induced Land Use Change in France: Impacts of Agricultural Adaptation and Climate Change Mitigation," Ecological Economics, Elsevier, vol. 147(C), pages 134-154.
    10. Xu, Tengfang & Flapper, Joris, 2011. "Reduce energy use and greenhouse gas emissions from global dairy processing facilities," Energy Policy, Elsevier, vol. 39(1), pages 234-247, January.
    11. Zezza, Alberto & Carletto, Calogero & Fiedler, John L. & Gennari, Pietro & Jolliffe, Dean, 2017. "Food counts. Measuring food consumption and expenditures in household consumption and expenditure surveys (HCES). Introduction to the special issue," Food Policy, Elsevier, vol. 72(C), pages 1-6.
    12. Schirpke, Uta & Kohler, Marina & Leitinger, Georg & Fontana, Veronika & Tasser, Erich & Tappeiner, Ulrike, 2017. "Future impacts of changing land-use and climate on ecosystem services of mountain grassland and their resilience," Ecosystem Services, Elsevier, vol. 26(PA), pages 79-94.
    13. Ozkan, Burhan & Fert, Cemal & Karadeniz, C. Feyza, 2007. "Energy and cost analysis for greenhouse and open-field grape production," Energy, Elsevier, vol. 32(8), pages 1500-1504.
    14. Khanal, Uttam & Wilson, Clevo & Hoang, Viet-Ngu & Lee, Boon, 2018. "Farmers' Adaptation to Climate Change, Its Determinants and Impacts on Rice Yield in Nepal," Ecological Economics, Elsevier, vol. 144(C), pages 139-147.
    15. Kelsey Farson Gray & Sarah Fisher & Sarah Lauffer, "undated". "Characteristics of Supplemental Nutrition Assistance Program Households: Fiscal Year 2015 (Summary)," Mathematica Policy Research Reports efbfd0cb3ae84308af13e156d, Mathematica Policy Research.
    16. Zezza, Alberto & Carletto, Gero & Fiedler, John L & Gennari, Pietro & Jolliffe, Dean M, 2017. "Food Counts. Measuring Food Consumption And Expenditures In Household Consumption And Expenditure Surveys (HCES)," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260886, European Association of Agricultural Economists.
    17. Wood, Richard & Lenzen, Manfred & Dey, Christopher & Lundie, Sven, 2006. "A comparative study of some environmental impacts of conventional and organic farming in Australia," Agricultural Systems, Elsevier, vol. 89(2-3), pages 324-348, September.
    18. Zhang, Bangbang & Feng, Gary & Kong, Xiangbin & Lal, Rattan & Ouyang, Ying & Adeli, Ardeshir & Jenkins, Johnie N., 2016. "Simulating yield potential by irrigation and yield gap of rainfed soybean using APEX model in a humid region," Agricultural Water Management, Elsevier, vol. 177(C), pages 440-453.
    19. Castells-Quintana, David & Lopez-Uribe, Maria del Pilar & McDermott, Thomas K.J., 2018. "Adaptation to climate change: A review through a development economics lens," World Development, Elsevier, vol. 104(C), pages 183-196.
    20. Martin, Molly A. & Van Hook, Jennifer L. & Quiros, Susana, 2015. "Is socioeconomic incorporation associated with a healthier diet? Dietary patterns among Mexican-origin children in the United States," Social Science & Medicine, Elsevier, vol. 147(C), pages 20-29.
    21. Kelsey Farson Gray & Sarah Fisher & Sarah Lauffer, "undated". "Characteristics of Supplemental Nutrition Assistance Program Households: Fiscal Year 2015," Mathematica Policy Research Reports 2c7be33ac568449b94d1a5605, Mathematica Policy Research.
    22. Klaus Eisenack & Susanne C. Moser & Esther Hoffmann & Richard J. T. Klein & Christoph Oberlack & Anna Pechan & Maja Rotter & Catrien J. A. M. Termeer, 2014. "Explaining and overcoming barriers to climate change adaptation," Nature Climate Change, Nature, vol. 4(10), pages 867-872, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Asad Asadzadeh & Amir Reza Khavarian-Garmsir & Ayyoob Sharifi & Pourya Salehi & Theo Kötter, 2022. "Transformative Resilience: An Overview of Its Structure, Evolution, and Trends," Sustainability, MDPI, vol. 14(22), pages 1-21, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kelsey Farson Gray & Karen Cunnyngham, "undated". "Trends in Supplemental Nutrition Assistance Program Participation Rates: Fiscal Year 2010 to Fiscal Year 2015," Mathematica Policy Research Reports 83167c08faee4195ab0168e9f, Mathematica Policy Research.
    2. Alma Vigil, "undated". "Trends in Supplemental Nutrition Assistance Program Participation Rates: Fiscal Year 2010 to Fiscal Year 2017," Mathematica Policy Research Reports 022652bf692a4c83b1f9ad87a, Mathematica Policy Research.
    3. Karen Cunnyngham, "undated". "Trends in Supplemental Nutrition Assistance Program Participation Rates: Fiscal Year 2010 to Fiscal Year 2016," Mathematica Policy Research Reports bf3e67b505f642ee9a8bfeff4, Mathematica Policy Research.
    4. Oliveira, Victor & Prell, Mark & Tiehen, Laura & Smallwood, David, 2018. "Design Issues in USDA’s Supplemental Nutrition Assistance Program: Looking Ahead by Looking Back," Economic Research Report 276253, United States Department of Agriculture, Economic Research Service.
    5. Zachary Parolin, 2019. "The Effect of Benefit Underreporting on Estimates of Poverty in the United States," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 869-898, July.
    6. Agustina Laurito & Amy Ellen Schwartz, 2019. "Does School Lunch Fill the “SNAP Gap” at the End of the Month?," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 49-82, July.
    7. Parolin, Zachary & Luigjes, Christiaan, 2019. "Incentive to Retrench? Investigating the Interactions of State and Federal Social Assistance Programs after Welfare Reform," OSF Preprints s5fwr, Center for Open Science.
    8. Ameye, Hannah & De Weerdt, Joachim & Gibson, John, 2021. "Measuring macro- and micronutrient consumption in multi-purpose surveys: Evidence from a survey experiment in Tanzania," Food Policy, Elsevier, vol. 102(C).
    9. repec:lic:licosd:42120 is not listed on IDEAS
    10. Robert Bumbac, 2019. "The European Food Market €“ Increased Consumer Preference Towards Convenience And Healthy Food," Junior Scientific Researcher, SC Research Publishing SRL, vol. 5(2), pages 53-61, November.
    11. Sadowski, Arkadiusz & Wojcieszak-Zbierska, Monika Małgorzata & Zmyślona, Jagoda, 2024. "Agricultural production in the least developed countries and its impact on emission of greenhouse gases – An energy approach," Land Use Policy, Elsevier, vol. 136(C).
    12. Andi Syah Putra & Guangji Tong & Didit Okta Pribadi, 2020. "Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    13. Dimitrios P. Platis & Christos D. Anagnostopoulos & Aggeliki D. Tsaboula & Georgios C. Menexes & Kiriaki L. Kalburtji & Andreas P. Mamolos, 2019. "Energy Analysis, and Carbon and Water Footprint for Environmentally Friendly Farming Practices in Agroecosystems and Agroforestry," Sustainability, MDPI, vol. 11(6), pages 1-11, March.
    14. Chrisendo, Daniel & Krishna, Vijesh V. & Siregar, Hermanto & Qaim, Matin, 2020. "Land-use change, nutrition, and gender roles in Indonesian farm households," Forest Policy and Economics, Elsevier, vol. 118(C).
    15. Unakıtan, Gökhan & Aydın, Başak, 2018. "A comparison of energy use efficiency and economic analysis of wheat and sunflower production in Turkey: A case study in Thrace Region," Energy, Elsevier, vol. 149(C), pages 279-285.
    16. Elahi, Ehsan & Zhang, Zhixin & Khalid, Zainab & Xu, Haiyun, 2022. "Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms," Energy, Elsevier, vol. 244(PB).
    17. Colleen Heflin & Michah W. Rothbart & Mattie Mackenzie-Liu, 2022. "Below the Tip of the Iceberg: Examining Early Childhood Participation in SNAP and TANF from Birth to Age Six," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(2), pages 729-755, April.
    18. Pishgar-Komleh, Seyyed Hassan & Keyhani, Alireza & Mostofi-Sarkari, Mohammad Reza & Jafari, Ali, 2012. "Energy and economic analysis of different seed corn harvesting systems in Iran," Energy, Elsevier, vol. 43(1), pages 469-476.
    19. Özgöz, Engin & Altuntaş, Ebubekir & Asiltürk, Murat, 2017. "Effects of soil tillage on energy use in potato farming in Central Anatolia of Turkey," Energy, Elsevier, vol. 141(C), pages 1517-1523.
    20. Fadavi, Raheleh & Samavatean, Naiemeh & Keyhani, Alireza & Saied, Seyyed, 2012. "An Analysis of Improving Energy use with Data Envelopment Analysis in Apple Orchard," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 2(02), pages 1-11, June.
    21. Pape,Utz Johann & Wollburg,Philip Randolph, 2019. "Estimation of Poverty in Somalia Using Innovative Methodologies," Policy Research Working Paper Series 8735, The World Bank.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:inecol:v:24:y:2020:i:2:p:383-399. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1088-1980 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.