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Current Nutrition & Food Science


ISSN (Print): 1573-4013
ISSN (Online): 2212-3881


Achieving the “Double-Carbon” Goals in China-How May Research on Consumer Food Preferences Help?

Author(s): Qihui Chen* and Hongsha Wang

Volume 19, Issue 9, 2023

Published on: 27 March, 2023

Page: [858 - 862] Pages: 5

DOI: 10.2174/1573401319666230224095411


China announced the “Double Carbon” goals in 2020, aiming to achieve “Carbon Peaking” by 2030 and “Carbon Neutrality” by 2060. Achieving these grand goals demands substantial changes in China’s industrial system, the food industry included. Regarding the information needed to formulate viable plans and policies at the industrial level to help achieve the double-carbon goals, this article argues that research on the consumption side of the food industry can be instrumental in informing industrial policy compatible with these goals. Specifically, our discussion revolves around four questions. Why expect the food industry to play a significant role in achieving the double-carbon goals? Why are consumers’ food preferences key to the design of viable policy? What aspects of consumer preferences should be studied? Finally, how may findings from such research be incorporated into food policy?

Keywords: Double-carbon goals, sustainable food consumption, consumer preferences, nudges, consumer food, carbon neutrality.

United Nations. Take Action for the Sustainable Development Goals. 2015. Available from: (Accessed on December 30, 2022).
United Nations. The Paris Agreement 2015. Available from: (Accessed on December 30, 2022).
Zhou L. China’s carbon peak and neutrality goals show its resolve to address climate change. Chinaorgcn 2021. Available from: (Accessed on August 15, 2022).
Wang M. Double-carbon goals: background, industrial logic, and principles of policymaking. 2022. Available from: (Accessed on December 30, 2022).
Baumol WJ, Oates WE. The Theory of Environmental Policy. (2nd ed.), London: Cambridge University Press 1988.
Forsman-Hugg S, Katajajuuri JM, Riipi I, Mäkelä J, Järvelä K, Timonen P. Key CSR dimensions for the food chain. Br Food J 2013; 115(1): 30-47.
Xu X, Sharma P, Shu S, et al. Global greenhouse gas emissions from animal-based foods are twice those of plant-based foods. Nat Food 2021; 2(9): 724-32.
Gerber PJ, Steinfeld H, Henderson B, et al. Tackling climate change through livestock: a global assessment of emissions and mitigation opportunities. Food and Agriculture Organization of the United Nations (FAO) 2013. Available from: on December 30, 2022).
Heller MC, Keoleian GA, Willett WC. Toward a life cycle-based, diet-level framework for food environmental impact and nutritional quality assessment: A critical review. Environ Sci Technol 2013; 47(22): 12632-47.
[] [PMID: 24152032]
Molina-Besch K, Wikström F, Williams H. The environmental impact of packaging in food supply chains—does life cycle assessment of food provide the full picture? Int J Life Cycle Assess 2019; 24(1): 37-50.
World Economic Forum and Boston Consulting Group. Net-Zero challenge: The supply chain opportunity 2021. Available from: (Accessed on August 29, 2022).
Guan Y, Shan Y, Huang Q, Chen H, Wang D, Hubacek K. Assessment to China's recent emission pattern shifts. Earth's Futur 2021; 9(11): e2021EF002241.
Shan Y, Huang Q, Guan D, Hubacek K. China CO2 emission accounts 2016–2017. Sci Data 2020; 7(1): 54.
[] [PMID: 32054849]
Shan Y, Guan D, Zheng H, et al. China CO2 emission accounts 1997–2015. Sci Data 2018; 5(1): 170201.
[] [PMID: 29337312]
Wang Y, Chen C, Li C. Correctly understanding the supply-side structural reform. People’s Daily 2016. Available from: (Accessed on August 28, 2022).
Li Z, Yuan J. A supply-side reform strategy based on China’s economic reality. Price Theor Pract 2015; (12): 12-7.
Wang J, Zhou Z. The transformation of China’s industrial policy from supply-side reform. Macroecon Res 2016; (11): 114-21.
Guo K. Trends of industrial restructuring and upgrading in China and policy ideas for the 14th Five-Year Plan period. China Indust Econom 2019; (07): 24-41.
Food and Agriculture Organization of the United Nations (FAO). Livestock Solutions for Climate Change (Accessed on December 30, 2022).
FAO. Emissions Totals. 2019. Available from: https://www. (Accessed on August 28, 2022).
Hou L, Xia F, Chen Q, et al. Grassland ecological compensation policy in China improves grassland quality and increases herders’ income. Nat Commun 2021; 12(1): 4683.
[] [PMID: 34344876]
Liu G, Yang G. Supply-side reform: Promoting the transformation and upgrading of the livestock industry. China Livestock Industry 2016; (06): 77-8.
Sun J, Liu W. Optimizing the structure of livestock industry with supply-side reform. China Livestock Industry 2016; (19): 78-9.
Malek L, Umberger WJ, Goddard E. Committed vs. uncommitted meat eaters: Understanding willingness to change protein consumption. Appetite 2019; 138: 115-26.
[] [PMID: 30917940]
Van Loo EJ, Caputo V, Lusk JL. Consumer preferences for farm-raised meat, lab-grown meat, and plant-based meat alternatives: Does information or brand matter? Food Policy 2020; 95: 101931.
Crisp RJ.. Social psychology: A very short introduction. London: Oxford University Press 2015.
Thaler RH, Sunstein CR. Nudge: Improving decisions about health, wealth and happiness. New York: Penguin Books 2008.
Baddeley M. Behavioural economics: a very short introduction. Oxford University Press 2017.
Brandstätter E, Gigerenzer G, Hertwig R. The priority heuristic: Making choices without trade-offs. Psychol Rev 2006; 113(2): 409-32.
[] [PMID: 16637767]
Ehrig T, Schmidt J. Making biased but better predictions: The trade-offs strategists face when they learn and use heuristics. Strateg Organ 2021; 19(2): 263-84.
Torquati B, Tempesta T, Vecchiato D, Venanzi S. Tasty or sustainable? The effect of product sensory experience on a sustainable new food product: An application of discrete choice experiments on chianina tinned beef. Sustainability 2018; 10(8): 2795.
Vilks A. The inverse invisible hand and heuristics in managerial decision-making. Philos Manag 2018; 17(2): 137-47.
Abel M, Byker T, Carpenter J. Socially optimal mistakes? debiasing COVID-19 mortality risk perceptions and prosocial behavior. J Econ Behav Organ 2021; 183: 456-80.
Lin Y, Osman M, Ashcroft R. Nudge: concept, effectiveness, and ethics. Basic Appl Soc Psych 2017; 39(6): 293-306.
Lehman PK, Geller ES. Behavior analysis and environmental protection: Accomplishments and potential for more. Behav Soc Issues 2004; 13(1): 13-33.
Sacks G, Rayner M, Swinburn B. Impact of front-of-pack ‘traffic-light’ nutrition labelling on consumer food purchases in the UK. Health Promot Int 2009; 24(4): 344-52.
[] [PMID: 19815614]
Nguyen T, de Brauw A, van den Berg M. Sweet or not: Using information and cognitive dissonance to nudge children toward healthier food choices. Econ Hum Biol 2022; 47: 101185.
[] [PMID: 36170789]
Nagatsu M. Social nudges: Their mechanisms and justification. Rev Phil Psychol 2015; 6(3): 481-94.
Kahneman D, Slovic SP, Slovic P, Tversky A, Eds. Judgment under uncertainty: Heuristics and biases. Cambridge University press 1982.
Lewis A, Eves F. Prompt before the choice is made: Effects of a stair-climbing intervention in university buildings. Br J Health Psychol 2012; 17(3): 631-43.
[] [PMID: 22248016]
Metzger MJ, Flanagin AJ. Credibility and trust of information in online environments: The use of cognitive heuristics. J Pragmatics 2013; 59: 210-20.
Schulte-Mecklenbeck M, Sohn M, de Bellis E, Martin N, Hertwig R. A lack of appetite for information and computation. Simple heuristics in food choice. Appetite 2013; 71: 242-51.
[] [PMID: 23994507]
Chen Q, Liu G, Liu Y. Can product-information disclosure increase Chinese consumer’s willingness to pay for GM foods? The case of Fad-3 GM lamb. China Agric Econ Rev 2017; 9(3): 415-37.
Ortega DL, Sun J, Lin W. Identity labels as an instrument to reduce meat demand and encourage consumption of plant based and cultured meat alternatives in China. Food Policy 2022; 111: 102307.
Wang H, Chen Q, Zhu C, Bao J. Paying for the greater good?—what information matters for Beijing consumers’ willingness to pay for plant-based meat? Foods 2022; 11(16): 2460.
[] [PMID: 36010460]
Zhou H, Bukenya JO. Information inefficiency and willingness-to-pay for energy-efficient technology: A stated preference approach for China Energy Label. Energy Policy 2016; 91: 12-21.
Wu L, Gong X, Qin S, et al. Consumer preferences for pork attributes related to traceability, information certification, and origin labeling: Based on China’s Jiangsu Province. Agribusiness 2017; 33(3): 424-42.
Yin S, Lv S, Chen Y, Wu L, Chen M, Yan J. Consumer preference for infant milk-based formula with select food safety information attributes: Evidence from a choice experiment in China. Can J Agric Econ 2018; 66(4): 557-69.
Yin S, Han F, Chen M, Li K, Li Q. Chinese urban consumers’ preferences for white shrimp: Interactions between organic labels and traceable information. Aquaculture 2020; 521: 735047.
Wang E, Gao Z, Chen X. Chinese consumer preference for processed food quality attributes and the impact of trust in information sources. Br Food J 2022; 124(3): 871-84.
Gadema Z, Oglethorpe D. The use and usefulness of carbon labelling food: A policy perspective from a survey of UK supermarket shoppers. Food Policy 2011; 36(6): 815-22.
Hornibrook S, May C, Fearne A. Sustainable development and the consumer: Exploring the role of carbon labelling in retail supply chains. Bus Strategy Environ 2015; 24(4): 266-76.
Birkenberg A, Narjes ME, Weinmann B, Birner R. The potential of carbon neutral labeling to engage coffee consumers in climate change mitigation. J Clean Prod 2021; 278: 123621.
Gössling S, Buckley R. Carbon labels in tourism: Persuasive communication? J Clean Prod 2016; 111: 358-69.
Li Q, Long R, Chen H. Empirical study of the willingness of consumers to purchase low-carbon products by considering carbon labels: A case study. J Clean Prod 2017; 161: 1237-50.
McCollum DL, Wilson C, Bevione M, et al. Interaction of consumer preferences and climate policies in the global transition to low-carbon vehicles. Nat Energy 2018; 3(8): 664-73.
Bigsby E, Cappella JN, Seitz HH. Efficiently and effectively evaluating public service announcements: Additional evidence for the utility of perceived effectiveness. Commun Monogr 2013; 80(1): 1-23.
[] [PMID: 25568588]
Dillard JP, Peck E. Affect and persuasion. Communic Res 2000; 27(4): 461-95.
Bator RJ, Cialdini RB. New ways to promote proenvironmental behavior: The application of persuasion theory to the development of effective proenvironmental public service announcements. J Soc Issues 2000; 56(3): 527-41.
Huang H. Media use, environmental beliefs, self-efficacy, and pro-environmental behavior. J Bus Res 2016; 69(6): 2206-12.
Kurisu K, Kimura N, Hanaki K. Expression effects of public service advertisements on intentions to act for global warming. J Clean Prod 2019; 218: 1045-54.
Rainear AM, Christensen JL. Examining pre-existing environmental beliefs: Using a PSA to investigate the role of self-efficacy and response efficacy on behavioral intentions. Commun Stud 2022; 73(2): 151-70.
Steinbeis N, Bernhardt BC, Singer T. Impulse control and underlying functions of the left DLPFC mediate age-related and age-independent individual differences in strategic social behavior. Neuron 2012; 73(5): 1040-51.
[] [PMID: 22405212]
Jäger AK, Weber A. Can you believe it? The effects of benefit type versus construal level on advertisement credibility and purchase intention for organic food. J Clean Prod 2020; 257: 120543.
Jones C, Hine DW, Marks ADG. The future is now: Reducing psychological distance to increase public engagement with climate change. Risk Anal 2017; 37(2): 331-41.
[] [PMID: 26989845]

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