Open Access
Volume 24, Numéro 1, January-February 2017
Numéro d'article D104
Nombre de pages 7
Section Dossier: Oil- and protein-crops and climate change / Oléoprotéagineux et changement climatique
Publié en ligne 14 février 2017

© T. Brunelle et al., published by EDP Sciences, 2017

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1 Introduction

As emphasized by Weber and Matthews (2008), “food represents a unique opportunity for consumers to lower their personal impacts due to its high impact, high degree of personal choice, and a lack of long-term “lock-in” effects which limit consumers' day-to-day choices”; yet, mitigation options relating to food consumption are almost taboo in international negotiations on climate and public policies. It is sometimes argued that mitigating climate change by reducing food consumption is a sensitive issue given the high rate of undernourishment in many regions of the world. Overconsumption of food, however, is becoming a serious public health issue that affects about one-third of the world population (Ng et al., 2014). Another dimension of this issue, which is less foregrounded, but probably just as significant, relates to the fact that restricting the consumption of such an item so intimately linked to individual choice as food is a delicate matter indeed in liberal societies.

Agriculture, Forestry and Other Land Use (AFOLU), the second largest greenhouse gases emitting sector after the industry sector (taking into account emissions from the heat and electricity production sector) (Smith et al., 2014), is characterized by a large mitigation potential. Many options for reducing greenhouse gas (GHG) emissions are available, such as the following: carbon storage through afforestation/reforestation and bioenergy production, enhanced resource use efficiencies or agroforestry. But the largest potential is to be found on the demand-side (Popp et al., 2010). The following three main avenues are listed by the Intergovernmental Panel on Climate Change (IPCC): reductions of losses in the food supply chain, changes in human diets toward less animal products, and increased carbon stocks in long-lived wood products (Smith et al., 2014).

Each of these options raises specific issues, as they are associated to profound changes in patterns of production and lifestyles. To investigate how a shift in diet and a reduction in food waste could be efficiently included in climate policies, this paper assesses the potential and barriers based on a review of recent literature and a survey conducted over a sample of 788 respondents living in France. Ways forward towards the reduction of food waste and unsustainable diets are finally sketched. This topic is particularly important for the protein crop sector as it could become a major player in the transition towards sustainable diet by promoting the substitution of meat with leguminous crops.

2 Mitigation potential of demand-side options

Calculating the potential for reducing food overconsumption is not straightforward, as there is no consensus either on the adequate level for protein or on the tolerable uppermost intake level. On this matter, the American society for nutrition points out the “misperception” about US protein overconsumption (Rodriguez, 2015). The recommended protein intake of 0.8 g/kg body weight/day (Paul 1989) corresponds to a minimum to prevent alimentary deficiencies, but does not ensure optimal health and body composition. WHO, FAO and UNU (2007) indicate that it is unlikely that intakes of twice the recommended level would be associated with any risk. From a health point of view, the origin of proteins – animal or vegetal – matters probably more than the total ingested amount. Even if Inuit traditional livelihood demonstrated that humans can adapt to a diet consisting mainly of meat and animal fat, the fact remains that high consumption of animal products combined with low levels of everyday activity is responsible for a higher incidence of several chronic diseases (Hu and Willett, 1998).

A recent study estimates the demand-side mitigation potential by comparing GHG emissions from the current US food consumption per capita with the following different food diets: traditional Mediterranean, vegetarian and a diet based on the recommended protein intake (60 g of protein per person per day) (Ranganathan et al., 2016). Results showed that the vegetarian diet generated 8.5 tons CO2-eq/cap/year (7.9 from land-use + 0.6 from agricultural production), the reduced-protein diet 9.2 tons CO2-eq/cap/year and the traditional Mediterranean diet 14.7 tons CO2-eq/cap/year, against 16.8 tons CO2-eq/cap/year for the current US diet (15.2 from land-use + 1.4 from agricultural production). Emissions reductions of each variant were largely driven by the reduction in ruminant-derived calories, which amounted to −14% for the traditional Mediterranean diet, −50% for the reduced protein diet and −94% for the vegetarian diet. As shown in Figure 1, emission intensities of cattle meat were more than five times higher than for the other types of feedstock. Thus, while beef represents only 3.2% of the US per cap calories consumption, it accounts for ca. half of the emissions (Ranganathan et al., 2016). Given this high emission intensity, Ranganathan et al. (2016) tested two diets shifting one-third of beef calories to either (i) pork and poultry or (ii) legumes as well as a third scenario of beef consumption reduction from 94 kcal/cap/day to 25 kcal/day/cap. Results showed that substituting beef to legume was more effective than a substitution to pork and poultry, as it reduced the emissions per cap by 1.5 tons CO2-eq/year compared to a reduction of only 1.2 tons CO2-eq/year for pork and poultry. The third scenario with a net reduction in total consumed calories led of course to the highest emissions reduction with a total of 5.5 tons CO2-eq par cap.

In this study, a substantial share of emission reductions is obtained through a lower use of pasture land area. The impact of a diet shift on cropland area is not completely consistent across the literature. For example, a shift from ruminant meat to pulses resulted in a decrease in cropland area for Stehfest et al. (2009), as they considered a land requirement for beef amounting to 0.6 ha/100 kg of protein against only 0.25 for pulses; for Ranganathan et al. (2016) conversely, a shift from beef to legumes did not affect cropland area. The environmental benefit of sparing grassland area obtained by substituting pork or poultry for beef may have some drawbacks. Gill et al. (2009) pointed out that the efficiency of beef in terms of human-edible return is significantly better than that of pig and poultry; its value is also higher than one, meaning that outputs exceed inputs, as most of pig and poultry feed comes from human-edible feedstock, whilst most of the diet of ruminant livestock is based on human-inedible feedstock (grass and forage – see Fig. 2). Livestock ability to turn human-inedible products into human-edible products may become increasingly important in terms of global food security, as recognized by Gill et al. It should be noted, however, that this is a real benefit for food security only if livestock is raised on lands unsuitable for the cultivation of edible feedstock. On other types of lands, the production of crop protein remains more efficient than that of grass and fodder to produce animal proteins. Finally, the environmental virtues of a substitution between beef and legumes may be mitigated by the lower protein digestibility of legumes, as we may need up to 55% more proteins from legumes to gain the same metabolic benefit obtained from beef proteins1.

The overall mitigation potential of demand-side options appears to be substantial. Indeed, Popp et al. (2010) estimated that a progressive reduction in the share of livestock products (−25% per year between 2005 and 2055, leading thus rapidly to a vegetarian diet) could reduce non-CO2 agricultural emissions by 11 Gt CO2-eq in 2055. Implementing additional technological mitigation options for all agricultural activities (better water, manure and herd managements, improved N-efficiency, improved feeding practices) would result in a further reduction in emissions by 1.7 Gt CO2-eq. Hence demand-side mitigation options were found to represent around 85% of the 2055 total potential of non-CO2 emissions reduction. Based on four dietary scenarios (three variants of partial and complete substitutions of meat by plant proteins + one “healthy diet scenario”), Stehfest et al. (2009) estimated that agriculture and land-use emission reductions related to demand-side mitigation options amount to 31–47% of total cumulative GHG emissions between 2000 and 2050. As a result, carbon price in 2050 under the 450 ppm stabilization pathway would be reduced by ≈45%–55% and the mitigation costs in 2050 reduced by ≈55%–65%.

Reduction of food losses and waste2 represents another key demand-side mitigation option. Estimating the potential of emissions reduction is however challenging due to the lack of reliable datasets. Based on a mass flow methodology, Gustavsson et al. (2011) estimated that roughly one-third of the food produced was lost globally, which represents about 1.3 billion ton per year. Based on this estimation, FAO (2011) calculated that the energy embedded in food losses and waste throughout the food chain amounted to ca 36 ExaJoules/yr, which is more than the total energy consumption in Russia, the third largest energy consumer in the World after USA and China. High-income countries are the largest contributors to food losses and waste, with 58% of the total embedded energy. The per capita food loss and waste in Europe and North America amount to 280–300 kg/year, against 120–170 kg/year in sub-Saharan Africa and South/Southeast Asia (Gustavsson et al., 2011). Developing and developed countries are also characterized by different patterns of food loss and waste; in the former countries, 40% of food losses occur at post-harvest and processing levels, while in developed countries, more than 40% of food losses occur at retail and consumer levels. In terms of percentage of initial production, fruits and vegetables are the most lost or wasted commodities (>50% in most regions of the world), while dairy products are the least lost or wasted ones (≈10% in Europe and Industrialized Asia, ≈20% in other regions) (Gustavsson et al., 2011).

By compiling total food waste across different stages of the UK food supply chain, Parfitt et al. (2010) showed that households are the largest contributors to food waste. According to this study, 64% of the food wasted by households is avoidable, 18% is potentially avoidable and 18% is unavoidable3. The most often cited reasons for throwing food away are the following: “food is not used in time” (was past a “use by” limit, smelt or tasted bad) and “too much is cooked, prepared or served” (this category also covers food that was damaged during processing) (Parfitt et al., 2010).

Parfitt et al. (2010) also identified the following three inter-related global drivers of post-harvest losses: (i) urbanization and the contraction of the agricultural sector may increase the generation of food waste by extending food supply chains and disconnecting consumers from how food is grown; (ii) dietary transition implies a diversification of food consumption towards vulnerable, shorter shelf-life items; (iii) increased trade globalization could open up opportunities, such as driving investments in storage, transport and distribution infrastructures, while representing a threat by increasing the supply of inexpensive food, thus spurring food wasting behaviours.

Another proposed option to reduce our meals' environmental footprint is to eat more local and seasonal food. Carlsson-Kanyama (1998) showed that a vegetarian meal with imported rice and tomatoes in addition to dry peas emits more than a meal containing only domestically produced food of both animal and vegetable origin (≈800 g CO2-eq against ≈400 g CO2-eq). However, this finding is more largely explained by methane emissions from rice farming and nitrous oxide emissions from fertilization of tomatoes, than by carbon dioxide emissions from transports. Overall, Carlsson-Kanyama (1998) concluded, based on the lifecycle analysis of 6 products (pork, carrots, tomatoes, potatoes, rice and dry peas), that transportation is a minor contributor to the total emissions of greenhouse gases compared to other stages of production, such as storage, pig rearing and rice farming, representing about 5% of GHG emissions of Tomatoes, Rice and Dry Peas, about 15% for carrots and 30% for potatoes.

Weber and Matthews (2008) came to a similar conclusion based on US input-output accounts of household expenditure and food availability from U.S. Department of Agriculture statistics. Although the total freight (from production to retail) to meet food demand in the United States in 1997 was 1.2 × 1012 t km, representing approx. 6500 km/kg of food, transportation as a whole represented only 11% of life cycle GHG emissions associated with food production. Weber et al. emphasized thus that “shifting less than one day per weeks' worth of calories from red meat and dairy products to chicken, fish, eggs, or a vegetable-based diet achieves more GHG reduction than buying all locally sourced food. “

thumbnail Fig. 1

GHG emission intensities of selected commodities for the decade 2000–2010. Source: Smith et al. (2014), based on Tubiello et al. (2012) and FAOSTAT (2013).

thumbnail Fig. 2

Efficiencies of different livestock production systems in the USA (outputs of edible energy and protein divided by inputs of energy and protein). Source: Gill et al. (2009).

3 Barriers

Barriers to the adoption of demand-side mitigation measures are mainly of an economic, institutional and socio-cultural nature. Few technical obstacles are reported in the literature. These technical obstacles concern for example some potential progress in packaging to further increase shelf life (Parfitt et al., 2010).

The livestock sector represents 30% of the agricultural GDP in the developing countries, and about 40% of global agricultural GDP (World Bank, 2009). This sector is organized in long market chains that employ at least 1.3 billion people globally and directly supports the livelihoods of 600 million poor smallholders in the developing world (Thornton, 2010). The growth of the livestock sector is heavily dependent on a sustained demand. Incentives to consume livestock products thus remain strong, in the form of advertisements, relatively cheap prices or larger portions sold. Furthermore, the electoral weight of the agricultural sector in many countries does not encourage governments to support policies that may harm this political group.

Underinvestment in storage, transport and distribution infrastructures in developing countries is often cited as an important economic barrier to the reduction in food waste. It is however difficult to assess to what extent this is a major obstacle, as there are many instances of relatively simple and inexpensive technologies providing effective solutions substantially reducing post-harvest food losses (Parfitt et al., 2010). Economic obstacles to the adoption of vegetarian or reduced animal protein diets are not seen as relevant since they are cheaper than a conventional diet (Faber et al., 2012). As previously mentioned, the extension of urban lifestyles may limit the adoption of environment friendly food diets and more efficient food waste management practices. In addition, the lack of adequate supplies of climate-friendly food in low income urban and rural areas, commonly referred to as food deserts, could constitute a significant barrier to demand-side mitigation measures.

Overall, societal barriers are considered to be less stringent than individual ones as demand-side mitigation strategies are intrinsically linked to personal choices, which themselves depend on knowledge, culture, habits and tastes. To get a better grasp on this issue, we took the census of the individual barriers most frequently cited based on a literature review and submitted them in the form of a web survey to a sample of 788 people living in France (yielding an margin of error by 4.6%). Results were adjusted to be representative of the main characteristics of the French population in terms of age, place of residence, socio-professional categories and owner/tenant status. Because obtaining a sufficient number of answers from workers was difficult, results for this socio-professional category had to be highly adjusted and are for this reason probably biased.

Before considering barriers, we asked the respondents to assess their willingness to reduce GHG emissions in the following five areas: transport, food, housing, purchase of equipment and use of equipment. For each question, they were asked to grade their action (or willingness to act) as (i) none, (ii) weak, (iii) middle, (iv) high and (v) “exemplary behaviour”. Answers were translated into numerical terms from 0 to 4, assuming a linear relation between qualitative and quantitative assessments. In other words, the range of outcomes is quite arbitrary, and only the ranking of actions is meaningful. Respondent were also asked to grade their level of information about climate change mitigation. Well-informed respondents were selected on this basis.

After transport, food appeared to be the area where respondents were the least willing to take actions to reduce their emissions (see Fig. 3). Food was however also the area where people thought they made the most efforts (see Fig. 4); respondents may thus have judged they had less room to further decrease their emissions. Even though these are statements subject to personal assessment, the relatively high level of action in the food area is corroborated by the rapid increase in consumption of organic food, and the noticeable decrease in meat consumption in France. To evaluate the accuracy of personal assessments, we undertook a cross-check by comparing the relative level of action reported by respondents with the relative level of emissions reported by respondents. In doing so, we found that food is the area with the least discrepancies between answers on action and emissions levels, thus giving us some confidence in respondents' self-evaluations.

To reduce their emissions in the food area, respondents favour the reduction in food waste over eating more local food and less ready-cooked meals (see Fig. 5). On the contrary, respondents appear to be more reluctant to reduce meat and milk consumption. Our survey reveals that this reluctance is mainly due to health considerations and to the belief that proteins from animal products cannot be substituted by other types of food (see Fig. 6). This result is consistent with the findings of Dibb and Fitzpatrick (2014) and Barr and Chapman (2002). As expected, this argument was much less cited by well-informed respondents (see definition above and blue bars in Fig. 6). Pleasure and taste were also frequently cited barriers along with habits and cultural reasons, both by the entire sample and well-informed respondents. This importance of pleasure and taste is confirmed by Lea et al. (2006) and Graça et al. (2015). Meat eating is indeed rooted in many traditions, to the extent that we often consider that the origins of human intelligence are linked to the nutritional qualities of meat. It has been showed though, on the basis of research on chimpanzees, that the development of human brain is more probably due to the cognitive abilities that were needed for the strategic sharing of meat within the group (Stanford, 1999). It is also interesting to note that the social constraint, which refers mainly to the feeling of pressure from the social group, is by far the most frequently cited barrier by well-informed respondents. Meat eating, as part of our evolutionary heritage, is surrounded by a special symbolic signification, such as affluence, well-being, satiety and contentment (Smil, 2002), which may generate some social pressure.

thumbnail Fig. 3

Willingness to make further effort to reduce emissions in five areas (scale: 0 = zero willingness, 4 = high willingness). Source: Authors.

thumbnail Fig. 4

Actual effort to reduce emissions in five areas according to respondents (scale: 0 = no effort, 4 = high effort). Source: Authors.

thumbnail Fig. 5

Favoured action to reduce emissions in the food area (scale: 1 = zero willingness, 4 = high willingness). Source: Authors.

thumbnail Fig. 6

Frequently cited barriers to emissions reduction in the food area (in % of the total cited barriers). Source: Authors.

4 Ways forward

In the second half of the 20th century, several political initiatives have been taken to reduce food waste. This objective was part of the mandate of the Food and Agriculture Organization of the United Nations (FAO), when it was created in 1945. In 1975, at the VIIth Special Session of the United Nations General Assembly, a resolution was passed calling upon member states to reduce post-harvest food losses by 50 percent by 1985. FAO's programme on prevention of food losses was established in 1977 to accompany member states in the design and implementation of an effective plan of action. A total of 108 projects had been financed by 1982, mainly with the objective of facilitating coordination and research. In spite of a 30.2 million US$ investment in these projects, there is no report of any actual progress towards the 50 percent target (Parfitt et al., 2010).

More recently, efforts to combat food waste have been mainly undertaken by the civil society in the following ways: promotion of “ugly” fruits and vegetables, supermarket for expired products in Denmark, networking between structures with food surplus and charitable associations in Great Britain and California, collaborative actions such as shared refrigerators, etc. Governments, for their part, have only recently taken measures under civil society pressure. France has recently adopted a bill including the following measures: waste prevention, use of unsold products as gift or for processing, waste valuation as animal feed, compost or as energy through methanizing. Efforts at the European level remain for the moment mostly symbolic in the following manner: relaxing the rules of calibration and presentation for 26 fruits and vegetables, publication of reports and surveys and organization of the international year against food waste in 2014. A noticeable exception to the limited governmental efforts to support climate-friendly food relates to the recent Chinese initiative to reduce meat consumption by 50% before 2030. The translation of this initiative into effective political action is, however, not specified for the moment.

Strategies for reducing food waste in developed and developing countries should be designed based on different logics. In developing countries, the emphasis should be placed on investment in agricultural infrastructure, technological skills and knowledge, storage, transport and distribution (Parfitt et al., 2010). On the other hand, policies in developed countries should focus on retailers and consumers, through, for example, food labelling to increase awareness of food waste's impact on the environment (Parfitt et al., 2010).

There is currently no policy aiming to orient consumer's choice towards less meat-intensive diets. Wirsenius et al. (2011) studied the impact of a GHG weighted consumption tax equivalent to 60€ per ton CO2-eq on the following products: ruminant meat, pork, poultry, eggs and dairy products. Their results show that such a tax scheme would lead to a net reduction of 32 million ton CO2-eq, which corresponds to a 7% reduction of emissions in EU agriculture. The emissions reduction results from a shift in food consumption from ruminant meat, milk and eggs to pig and poultry meat. Note that this study did not consider any possible substitution between animal and vegetal proteins, which could further increase emission reduction potential.

However, a carbon tax on food products could be socially difficult to implement. Wirsenius et al. (2011) calculated that a GHG tax corresponding to 60€ per ton CO2-eq would increase the price of ruminant meat by 1.4€ per kilo. This would thus restrict the consumption of ruminant products to the richest part of the society, those for whom food expenditures are only an insignificant fraction of their budget. To avoid targeting the poorest, who are also those with the lowest emission per capita, Ranganathan et al. (2016) proposed a holistic approach relying on the following four principles: (i) minimize disruption by minimizing changes for example in taste, look or texture; (ii) “sell” a compelling benefit such as health or affordability, (iii) maximize awareness by increasing the availability and visibility of sustainable food; (iv) evolve social norms by informing people about the environmental impact of our food choice and make alternatives socially desirable.

5 Conclusion

There is a strong consensus in the existing literature about the high mitigation potential of AFOLU demand-side mitigation measures, higher, in particular, than that of supply-side mitigation options. Shifting diets towards less animal products and reducing food losses appear to be the most effective avenues, while eating more local and seasonal food would bring only marginal environmental benefits. However, to guarantee that these measures do not imply a reduction in protein intake, these estimations should consider both caloric and protein units, and take into account digestibility differentials between protein sources. In spite of this large potential, commitment to take action is however not apparent both from national governments and individuals, the latter being relatively reluctant to eat more sustainably, preferring to reduce their emissions in other areas such as housing or equipment. Governmental initiatives remain, for their part, isolated and mostly symbolic.

A high potential for emissions reduction is within reach. The challenge is now to find the correct incentives to guide consumers towards sustainable food. Holistic approaches aiming at minimizing perceived costs and maximizing perceived benefits are probably a promising strategy to make demand-side mitigation options more acceptable. Considering the overall cost of climate policy could also help incentivize public and private actors, as limited efforts on food consumption, such as a partial substitution of meat by plant protein, could significantly reduce mitigation costs.


The authors wish to thank Patrice Dumas and Jean Vettraino for their valuable comments on previous versions of this article, and Philippe Chatelet for his editing of English language in the paper.


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According to Gustavsson et al. (2011): “Food losses refer to the decrease in edible food mass throughout the part of the supply chain that specifically leads to edible food for human consumption. Food losses take place at production, postharvest and processing stages in the food supply chain (Parfitt et al., 2010). Food losses occurring at the end of the food chain (retail and final consumption) are rather called “food waste”, which relates to retailers' and consumers' behavior. (Parfitt et al., 2010).”


Parfitt et al. (2010) define avoidable and unavoidable waste as follows: Avoidable and potentially avoidable food waste refers to food and drink thrown away that was at some point edible or potentially edible (bread crusts, potato skins). Unavoidable waste refers to food preparation that is not, and has not been, edible under normal circumstances.

Cite this article as: Brunelle T, Coat M, Viguié V. 2017. Demand-side mitigation options of the agricultural sector: potential, barriers and ways forward. OCL 24: D104.

All Figures

thumbnail Fig. 1

GHG emission intensities of selected commodities for the decade 2000–2010. Source: Smith et al. (2014), based on Tubiello et al. (2012) and FAOSTAT (2013).

In the text
thumbnail Fig. 2

Efficiencies of different livestock production systems in the USA (outputs of edible energy and protein divided by inputs of energy and protein). Source: Gill et al. (2009).

In the text
thumbnail Fig. 3

Willingness to make further effort to reduce emissions in five areas (scale: 0 = zero willingness, 4 = high willingness). Source: Authors.

In the text
thumbnail Fig. 4

Actual effort to reduce emissions in five areas according to respondents (scale: 0 = no effort, 4 = high effort). Source: Authors.

In the text
thumbnail Fig. 5

Favoured action to reduce emissions in the food area (scale: 1 = zero willingness, 4 = high willingness). Source: Authors.

In the text
thumbnail Fig. 6

Frequently cited barriers to emissions reduction in the food area (in % of the total cited barriers). Source: Authors.

In the text

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