1. Introduction
Coffee is one of the most traded commodities worldwide. Out of all the coffee traded internationally in the world in 2023, European Union imports represented around 62% (). Importantly, new European mandatory regulations on imported agricultural products, such as coffee, aim to create standards that ensure compliance with several environmental requirements during the production of agricultural goods. These requirements, which are aligned with key policy objectives such as the reduction of greenhouse gases and avoiding deforestation (see ; , among others), impose some obligations on producing countries, such as Costa Rica, which is the focus of our study.
To comply with these requirements and obligations, coffee producers often face increased costs or must redesign production processes (). However, firms that voluntarily adopt some social and environmental certifications tend to be more prepared to comply with the new mandatory regulations (; ).
As has often been reported in the literature, firms that implement voluntary sustainable practices can get comparative market advantages by certifying their products, or the firm itself. Environmental certifications are expected to act as signaling devices for society and, especially, for those consumers who are concerned about making more ecological purchase decisions (; ; ).
Costa Rica is an upper middle-income country recognized for the implementation of public environmental policies aimed at the protection of forests and biodiversity (; ; ), as well as reducing the greenhouse gas footprint (; ). Costa Rica has achieved some milestones, such as 98% of electric energy production from renewable sources, and 53% of land covered by forests (). The Costa Rican government is currently devising a plan to decarbonize the economy by 2050, and the active participation of companies and consumers is essential to achieve this objective (). As an example of this involvement, a Costa Rican cooperative has been the first organization worldwide that adopted a certification for carbon neutrality in coffee production, using a renowned international standard ().
In emerging countries, such as Costa Rica, more and more consumers are becoming environmentally conscious and searching for more sustainable options (; and ). Determining how much these consumers are willing to pay for environmentally certified products, such as coffee, is crucial for companies that want to ensure the profitability of the environmental investments they make. The adoption of green certifications and programs have improved the environmental performance of many Costa Rican coffee producers, as these certifications drive actions related to reducing the usage of agrochemicals (; ), as well as the coffee carbon footprint () and increasing biodiversity in farms (). Arguably, studying whether (and how much) consumers are willing to pay for a Fairtrade Coffee (FTC), Carbon Neutral Coffee (CNC) and other related certifications will contribute to spreading the environmentally positive side effects of certified coffee and provide useful information for the sake of firms’ decisions and policy design.
An additional argument to focus on the coffee sector in Costa Rica is the fact this country, apart from an important producer, also has one of the higher levels in per capita coffee consumption worldwide (). Our main research question is how much Costa Rican consumers are willing to pay for a certified coffee versus a regular one. We consider three environmental certifications, including two ecolabels (Fairtrade and Carbon Neutral) that refer to a specific product (coffee in our case) and an international standard, namely ISO 14001, that provides a framework for the environmental management system of a firm and, therefore, certifies the producer itself rather than a product. Each of these certifications entail environmental compliance standards for companies that aspire to be certified themselves or their products.
As far as we know, the only study that has measured the willingness to pay (WTP) for environmentally certified coffee in Costa Rica is , which presents an open-ended contingent valuation model to elicit the WTP for ISO 14001, Fairtrade, and Carbon Neutral coffee. The present study complements and goes beyond the results in by simultaneously estimating the price premiums for all three environmental certifications using a discrete choice experiment (DCE). It is well-known that a DCE can simulate a market more realistically than the contingent valuation open-ended format () because respondents are faced with purchase decisions that resemble more closely their daily consumption practices. Therefore, this study provides additional and more credible estimates of Costa Ricans’ WTP for environmentally certified coffee in Costa Rica. We are not aware of any published research that addresses the Costa Ricans’ WTP for any coffee certification using this stated preferences method.
The paper is organized as follows: Section 2 presents a literature review of previous studies about consumers' WTP for certified coffee; Section 3 presents the material and methods, including data collection and econometric specification; Section 4 presents the main findings and discussion. Section 5 identifies some limitations of the study and finally, Section 6 presents the main conclusions.
2. Literature Review
Voluntary environmental and social certifications can be defined as commitments adopted by firms in improving their environmental or social performance, not formally required by a regulatory agency or government (; ; ).
Companies taking part in the coffee value chain may have different motivations to adopt environmental and social certifications. argued that “coffee linked to environmental and social issues, typically called sustainable coffee, represents a key segment of the differentiated market”. Such differentiated coffee can attract conscious consumers that look at standards and labels as symbols of ethical practices in global business (; ). As a consequence, certified coffee producers may expect to receive price premiums in the market with respect to their non-certified competitors ().
An increasing number of studies have shown, in empirical terms, that consumers are willing to pay price premiums for sustainable coffee. Table 1 presents a review of the literature focused on the economic valuation of coffee certifications. For each reference, we report the country where the study was conducted, the valuation method, the sample size, the specific certifications considered and the estimated price premiums.
As for the geographical scope, the references in the table reveal that most of the published studies have been conducted in high-income countries, such as Italy (; ; ), Belgium (; ), The United States of America (; ; ; ; ), Sweden (), Germany (; ), United Kingdom (), Spain ( and ) and Taiwan (). Studies of consumer’s WTP for environmental and social coffee certifications in developing countries are much scarcer and include for China, for Thailand, and for Costa Rica.
Although some papers consider more than one certification, as we do in the present paper, some of them focus on valuing one single certification, being organic and Fairtrade the most commonly addressed. There are also some studies about other labels and programs, such as Carbon Neutral, Rainforest Alliance, Shade coffee and others. The most applied valuation methods are discrete choice experiments (DCE), contingent valuation methods (CVM), hedonic prices (HP), and auctions (A).
Regarding the quantitative results, there is a wide discrepancy across studies about the reported price premiums. Consider, for example, carbon-related certifications: while, did not find any significant price premium for coffee with the Carbon Footprint label in United States, estimated that consumers are willing to pay a price premium of $0.65 for a 250 g package of carbon-neutral certified coffee in Costa Rica and found that respondents in Germany were willing to pay €4.38/250 g package of Carbon Neutral coffee. Remarkably, some of the differences in the estimates persist even between studies that have used the same methodology or are conducted in the same country. Additional factors that may explain the dissimilarity in the consumers' WTP across studies, other than the valuation method and the geographical area, include the sampling method, sample characteristics, the number and type of considered coffee attributes, and the type of certifying institution considered.
3. Material and Methods
3.1. Data Collection
This paper is a follow-up of the study by and aims to provide further evidence and refining the results in that study. used a contingent valuation with open-ended format is based on a sample of the adult Costa Rican population stratified by province and gender. The sample included 1,191 respondents. Among them, 387 individuals were asked about their WTP for a CNC, 383 were asked about their WTP by FTC and 421 had faced the question regarding coffee produced by ISO 14001 certified companies.
The individuals who provided a valid email in the previous study (451 in total) were invited to take part in a DCE, which is the stated preferences method used in the current study. 211 of these individuals had previously faced questions regarding coffee produced by ISO 14001 certified companies, 130 about FTC, and 110 about CNC (see Figure 1). For our DCE, we got 112 valid answers from the first group, 56 from the second and 52 from the third.
Table 2 shows a summary of the main demographic characteristics of the respondents to the DCE. They are located mainly in the central provinces of Costa Rica, their household income tends to be medium and high, and show a higher level of education in regard to the reference study and the Costa Rica population. All of the DCE participants were coffee consumers or, at least, coffee buyers, as they had reported in . The questionnaire was conducted using the TickStat® online platform for discrete choice surveys.
A description of each certification was presented in the online questionnaire to remind the respondents about the main characteristics of the three certifications, including the one they have faced in the first part of the study and the two new ones. See Table 3 for an English version of this information (the one used in the survey was in Spanish). After providing them with this information, the DCE properly started.
The experiment included 6 hypothetical choice cards containing different combinations of environmental coffee certifications and prices. The choice cards were designed following a D-efficient criteria and using the Ngene® 1.2 software ().
Each card required the respondent to choose between three hypothetical 250-gram coffee packages, including two certified coffees, each one with a certain price premium, and a regular non-certified coffee, the latter being an opt-out option without any price increment. Each of the 220 respondents faced discrete choice questions about the three certifications (not only the one he/she was asked about in the precedent study), as well as the opt-out option. The price of a 250-gram package of regular ground coffee was set as ₡1,250 (around U.S. $2.2), which was the average sale price of the best-known coffee brands in Costa Rican supermarkets (; ) in July 2017. So, implicitly, respondents were consulted about their WTP over this reference price for a certified coffee. An example of a choice card is presented in Figure 2.
In addition, we included a follow-up question to detect protest responses. Specifically, there was a “why” question aimed at those respondents who always chose the non-certified coffee alternative in all the decision scenarios. There was only one person in this situation, and he/she stated that the price of the certified coffee was too high. This individual was included in the analysis.
3.2. Econometric Approach
In the last decades of the 20th Century, DCE emerged as an extension of the contingent valuation method. DCE incorporates multidimensionality in the sense that consumers are allowed to simultaneously choose between alternative products with different characteristics and prices like in a real market (). In accordance with the Random Utility Theory (), DCEs are based on the assumption that consumers choose the options that maximize their utility. The utility that consumer i (i = 1 , ..., I) gets from taking alternative j (j = 1, ..., J) in choice set t (t = 1, 2, ..., T) is given by:
where = is the deterministic component of utility, Xijt is a vector of observed variables related to alternative j in choice set t for individual i; βi is a vector of structural taste parameters which characterize choices; and εijt is the corresponding type-I extreme value distributed random component, which is assumed to be independent of β and X. In our case, the X’s include four variables: the price and three dummy (1/0) variables associated to each of the three certifications under consideration (z1 for CNC, z2 for FTC and z3 for ISO 14001).
The probability that individual i chooses alternative j in choice set t coincides with the probability that the utility derived from the chosen alternative exceeds the utility that would be gained from the other alternatives k, as follows:
where pij is the probability of choosing alternative j, and Ai is the choice set faced by respondent i. If εijt and εikt are i.i.d. type I extreme values of the random component of utility, the probability of choosing alternative j in the observed sequence of choices [y1, y2,...,yT] is calculated by the following integral:
The vector of parameters, in our case β {βz1, βz2, βz3, βPrice}, varies in the population with density ƒ(β|Ω), where Ω denotes the parameters of the density function. We used a Random Parameter Logit (RPL) model, which allows to introduce unobserved preference heterogeneity (). We assume that the random parameters follow a restricted triangular distribution () and estimations were performed using the NLOGIT® 6.0 software. The sample mean WTP for each certification (z1, z2, z3) as well as the individual WTP is calculated using the formula:
4. Results and Discussion
In the choice experiment we assume that the consumers’ choices follow a panel data structure, i.e. the decision heuristics are the same for the 6 choices of the individual. Then, we estimated a RPL model and calculated the sample mean for the WTP. The results show that, on average, the respondents are willing to pay price premiums of ₡1,787.55 ($3.15) for a package of Fairtrade certified coffee, ₡ 1,718.58 ($3.03) in the case of Carbon Neutral coffee and ₡1,549.57 ($2.73) for a package of coffee produced by an ISO14001 certified company (see Table 4). These premiums represent roughly 143%, 137.5 %, and 124% respectively, with respect to the baseline price. On the other hand, it is interesting to note that the price premiums estimated with the DCE are substantially higher than the ones reported in the previous study by , which were around $0.65.
Previous studies, mainly in high-income countries, have shown that, to some extent, consumers attach to environmentally certified coffee higher values than to regular coffee, or in other words, they are willing to pay a price premium for certified coffee (see Table 1). Our study also shows that the respondents in our sample are willing to pay very significant price premiums for coffee with any of the three considered certifications. All the average price premiums are above 100% of the original price, ranging between 124% for a coffee produced by an ISO 14001 company and 143% for a FTC coffee. Our study is on the upper range of the premiums estimated in the literature, but not very far from other studies using DCE, such as , that estimated a price gap of 93% for organic coffee in Italy. found that Flanders inhabitants were willing to pay a price gap of 88% for an FTC and 92% for organic coffee. estimated that Italian consumers were willing to pay a 110% price premium for FTC compared to a regular coffee. Moreover, in a large survey (n=1199) of coffee consumers in Costa Rica, showed that 50% of respondents are willing to pay approximately double for high-quality (not necessarily certified) coffee.
| Variables | Mean Coeff. | Std. Dev. of RP | WTP | 95% Confidence Interval |
|---|---|---|---|---|
| CNC | 4.094*** (0.2978) | 3.731*** (0.5641) | 1,718.58*** (237.6938) | [1,252.71; 2,184.45] |
| FTC | 4.256*** (0.3237) | 6.129*** (0.6969) | 1,787.55*** (293.1575) | [1,212.97; 2,362.13] |
| ISO 14001 | 3.692*** (0.4277) | 6.935*** (0.8309) | 1,549.57*** (186.6998) | [1,183.65; 1,915.50] |
| Price | -0.002*** (0.0004) | 0.002*** (0.0004) | ||
| McFadden Pseudo R2 | 0.4136 | |||
| Log likelihood function | -850.3565 | |||
| Restricted log likelihood | -1450.1682 | |||
| Numbers of observations [individuals] | 1320 [220] | |||
In addition, found that consumers are willing to pay €4.38/250 g package of CNC and €6.91/250 g package of FTC in Germany, similar to the results from , who found a mean willingness to pay for certified coffee in the United States of $5.45/12 oz bag of Fair Trade, $3.91/12 oz bag of Direct Trade, $1.69/12 oz bag of Rainforest Alliance, and $2.20/12 oz bag of organic coffee. These price premiums are similar to those estimated in our study.
Regarding the type of certification valued, although the average price premiums estimated by our DCE for all three certifications are very significant, and not very different from each other, our study shows that the highest of the three is the one associated to FTC, which is in line with previous studies such as , , , , and . This result may be due to the fact that the FTC establishes not only environmental standards (such as the responsible use of agrochemicals), but also social standards, such as the payment of fair wages, the participation of women in the coffee value chain, and the guarantee of premium prices for coffee growers (see, for example, ).
Moreover, our study also shows that respondents are more willing to pay for ecolabels (FTC and CNC) than for coffee produced by an ISO 14001 certified company. This is an expected result since ecolabels are more visible as they are displayed on product packaging, while ISO 14001 is a company certification that is not usually displayed on packages. Furthermore, FTC and CNC can be perceived by consumers as more closely related to improvements of the environmental practices of companies and cooperatives ().
5. Limitations
The main limitations of this study have to do with the sample size and the way in which the sample was generated. The high cost of acquiring a consumer database and the limited availability of such a database is a typical difficulty in studies conducted in developing countries. In our case, since a consumer database was not available at the time of conducting the DCE, we decided to use the contact information already available from the original survey that was used in . An advantage of this decision is that the results of this study are more directly comparable with the ones of the previous exercise. Moreover, by addressing people that had already taken place in the previous study, we could ensure that all of them were coffee buyers and, thus, we did not need to deal with respondents who were not taking part in the coffee market.
Nevertheless, this approach also has some inevitable drawbacks. First, we could only interview the respondents providing a valid e-mail address, which involved a reduction in the sample size. Second, as shown in Table 2, although the respondents participating in the discrete choice experiment maintain a similar distribution to that of the original sample in terms of gender and age, they are different in terms of residence, income, and especially higher education. There may even be other non-observed biases, for example linked to the respondent’s familiarity with email and other electronic technologies. Currently, it is a usual challenge faced by other DCE studies that use panel of consumers, since they do not completely represent the whole society because of higher levels of education, access to technology, etc. (; ). Summing up, the sampling strategy does not guarantee that the demographic characteristics of the sample reflect the structure of the Costa Rican population. Therefore, we cannot claim that our sample represents the entire Costa Rican population and, as a consequence, the results should be interpreted cautiously when deriving nationwide implications. Nevertheless, we feel that the results still have some value even if they refer to a subset of the population. It is interesting to know that some Costa Rican consumers are willing to pay very significant price premiums for certified coffee.
6. Conclusions
We have resorted to a DCE, which allows consumers to choose between several types of certified coffees versus a not-certified one, a setting that mimics a real coffee market better than a contingent valuation application as it is well-known in literature. Our results confirm that Costa Rican consumers are willing to pay significant price premiums for all the certifications evaluated, namely ISO 14001, Fairtrade and Carbon Neutral, with higher magnitude for the two ecolabels.
Our conclusion is consistent with the fact that, as previously noted, many Costa Ricans have knowledge about environmental certifications and the companies that carry out sustainable production practices (Valenciano-Salazar et al., 2021). This knowledge and concern about environmental sustainability is due to several factors, including that, for decades, domestic and international communication media has informed about the damage caused by greenhouse gases, as well as the irreversible consequences of climate change (; ; ), the belligerent policy of the Costa Rican government to combat climate change (; ; ), the study of the environmental issues in the public education system (), and the active actions of companies in order to reduce their carbon footprint ( and ), among others. All these factors explain a high WTP of the respondents, probably higher than one may expect in an emerging country.
Since coffee producers must comply with a series of environmental and social standards in order to get environmental certifications, we can argue that certified products and companies tend to have better environmental performance than their regular counterparts. The fact that Costa Rican consumers are willing to pay a price premium for certified coffee points to the existence of a market channel for eco-labeled coffee that should be strengthened in order to guarantee the environmental improvements derived from these certifications. Plausible paths to strengthen this channel include communication campaigns that help consumers deepen their knowledge of each certification as well as its social and environmental implications.
Finally, we could assume that companies and cooperatives supplying certified products have an advantage in assuming the new environmental regulations that the European Union will impose in the short term, linked to zero deforestation in agricultural production as well as carbon neutrality processes.
Acknowledgements
J. A. Valenciano acknowledges support from the Scholarship Department of the National University of Costa Rica (grant JB-C-1106-2016). Francisco J. André acknowledges support from the Spanish Ministry of Science and Innovation (PID2019-105517RB-I00).
Author contributions
Conceptualization, J.A.V-S., F.J.A and M.S.; Methodology, J.A.V-S. and M.S.; Software, J.A.V-S. and M.S.; Data acquisition, J.A.V-S., F.J.A and M.S; Analysis and interpretation, J.A.V-S., F.J.A and M.S; Supervision: F.J.A. and M.S.; Writing- Preparation of the draft, J.A.V-S, F.J.A and M.S; Writing-Revision & Editing, J.A.V-S, F.J.A and M.S. All authors read and agree with the published version of the manuscript.
References
1
Aguirre, J.A. (2016). Culture, health,gender and coffee drinking: A Costa Rican perspective. British Food Journal, 118(1), 150-163. https://doi.org/10.1108/BFJ-08-2015-0298
2
Alba-Patiño, D., Soliño, M., Arroyo, B., Martínez-Jauregui, M., Glikman, J.A., Castro, A., Delibes-Mateos, M. (2024). Hunting regulations as a conservation tool: Hunters’ views on the European turtle-dove moratorium. Biological Conservation, 294, 110654. https://doi.org/10.1016/j.biocon.2024.110654
3
André, F. J., & Valenciano-Salazar, J. A. (2022). Voluntary carbon neutral programs. Adoption and firms’ strategies. Journal of Cleaner Production, 381, 135191. https://doi.org/10.1016/j.jclepro.2022.135191
4
Automercado. (2019). Pagina oficial Automercado. Retrieved 17/10/2019, from https://www.automercado.cr/
5
Birkenberg, A., & Birner, R. (2018). The world's first carbon neutral coffee: Lessons on certification and innovation from a pioneer case in Costa Rica. Journal of Cleaner Production, 189, 485-501. https://doi.org/10.1016/j.jclepro.2018.03.226
6
Birkenberg, A., Narjes, M.E., Weinmann, B., Birner, R. (2021). The potential of carbon neutral labeling to engage coffee consumers in climate change mitigation. Journal of Cleaner Production. 278, 123621 https://doi.org/10.1016/j.jclepro.2020.123621
7
Blackman, A., & Naranjo, M. (2012). Does eco-certification have environmental benefits? Organic coffee in Costa Rica. Ecological Economics, 83, 58-66. https://doi.org/10.1016/j.ecolecon.2012.08.001
8
Blum, N. (2008). Environmental education in Costa Rica: Building a framework for sustainable. International Journal of Educational Development, 28(3), 348-358. https://doi.org/10.1016/j.ijedudev.2007.05.008
9
Boykoff, M. (2009). El caso del cambio climático: Los medios y la comunicación científica [The case of climate change: The media and scientific communication]. Infoamérica: Iberoamerican Communication Review, 1(1), 117 - 127. Retrieved from https://www.infoamerica.org/icr/n01/infoamerica01_boykoff.pdf
10
Caudill, S. A., Brokaw, J. N., Doublet, D., & Rice, R. A. (2017). Forest and trees: Shade management, forest proximity and pollinator communities in southern Costa Rica coffee agriculture. Renewable Agriculture and Food Systems, 32(5), 417-427. https://doi.org/10.1017/S1742170516000351
11
Central Bank of Costa Rica. (2024). Exchange Monetary Rates. Retrieved 18/09/2024, from https://www.bccr.fi.cr/indicadores-economicos/Indicadores-m%C3%A1s-consultados
13
Cosimo, L.H.E., Masiero, M., Mammadova, A., and Pettenella, D. (2024). Voluntary sustainability standards to cope with the new European Union regulation on deforestation-free products: A gap analysis. Forest Policy and Economics, 164, 103235. https://doi.org/10.1016/j.forpol.2024.103235
14
De Pelsmacker, P., Liesbeth , D., & Glenn , R. (2005). Do consumers care about ethics? Willingness to pay for Fair‐Trade coffee. The Journal of Consumer Affairs, 39(2), 365-385. https://doi.org/10.1111/j.1745-6606.2005.00019.x
15
Fairtrade International (2024). What is Fairtrade? Retrived 10/11/2024, from https://www.fairtrade.net/en/why-fairtrade/what-we-do/what-is-fairtrade.html
16
Flagg, J. (2018). Carbon Neutral by 2021: The Past and present of Costa Rica’s unusual political tradition. Sustainability, 10(296), 1-14. https://doi.org/10.3390/su10020296
17
18
Fuller, K., & Grebitus, C. (2023). Consumers' preferences and willingness to pay for coffee sustainability labels. Agribusiness, 39(4), 1007–1025. https://doi-org.bucm.idm.oclc.org/10.1002/agr.21810
19
Fuller, K., Grebitus, C., Schmitz, T.G., (2022). The effects of values and information on the willingness to pay for sustainability credence attributes for coffee. Agricultural Economics, 53(5), 775–791. https://doi.org/10.1111/agec.12706.
20
Galarraga, I., & Markandya, A. (2004). Economic techniques to estimate the demand for sustainable products: a case study for Fair Trade and Organic Coffee in the United Kingdom. Economía Agraria y Recursos Naturales, 4(7), 109-134. https://doi.org/10.7201/earn.2004.07.06
21
Gallenti, G., Troiano, S., Cosmina, M., & Marangon, F. (2016). Ethical and sustainable consumption in the Italian coffee market: a choice experiment to analyse consumers’ willingness to pay. Rivista di Economia Agraria, 71(2), 153-176. http://dx.doi.org/10.13128/REA-20077
22
Gilbert, C. L. (2024). The EU Deforestation Regulation. EuroChoices. https://doi.org/10.1111/1746-692X.12436
23
24
Hanley, N., Mourato, S., & Wright, R. E. (2008). Choice modelling approaches: A superior alternative for environmental valuation? Journal of Economic Surveys, 15(3), 435-462. https://doi.org/10.1111/1467-6419.00145
25
International Coffee Organization. Database (2025). Retrieved 03/04/2025, from https://ico.org/es/what-we-do/world-coffee-statistics-database/
26
INEC (2011) Indicadores la población. Retrieved 03/04/2025, from http://sistemas.inec.cr:8080/redinecmm/Censos/Censo_2011/Metadatos/Definiciones.pdf
27
ISO (2015). Sistema de Gestión Ambiental. Retrieved 01/112024, from https://www.iso.org/obp/ui#iso:std:iso:14001:ed-3:v1:es
28
29
Khanna, M., (2001). Non-mandatory approaches to environmental protection. Journal of Economic Surveys, 15, 291-324. https://doi.org/10.1111/1467-6419.00141.
30
Klimas, C. A., & Webb, E. (2018). Comparing stated and realized preferences for shade-grown vs. conventionally grown coffee. International Journal of Consumer Studies, 42(1), 76-92. https://doi.org/10.1111/ijcs.12399
31
Liu, C.-C., Chen, C.-W., & Chen, H.-S. (2019). Measuring consumer preferences and willingness to pay for coffee certification labels in Taiwan. Sustainability, 11(5), 1297 https://doi.org/10.3390/su11051297
32
Loureiro, M. L., & Lotade, J. (2005). Do fair trade and eco-labels in coffee wake up the consumer conscience? Ecological Economics, 53(1), 129-138. https://doi.org/10.1016/j.ecolecon.2004.11.002
33
Lyngbæk, A., Muschler, R., & Sinclair, F. (2001). Productivity and profitability of multistrata organic versus conventional coffee farms in Costa Rica. Agroforestry Systems, 53(2), 205–213. https://doi.org/10.1023/A:1013332722014
34
Maaya, L., Meulders, M., Surmont, N., & Vandebroek, M. (2018). Effect of environmental and altruistic attitudes on willingness-to-pay for Organic and Fair Trade coffee in Flanders. Sustainability, 10(12). https://doi.org/10.3390/su10124496
35
Maietta, O. (2003). The hedonic price of Fair-Trade coffee for the Italian consumer. Paper Presented at the International Conference Agricultural Policy Reform and the WTO: Where Are we Heading. Capri, Italy. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=49d80c9be6bb922ff925f3dd8c5a9e3924c21814
36
Maxi Pali (2019). Pagina oficial Maxi Pali. http://maxipali.co.cr/
37
Merbah, N and Benito-Hernández, S (2023). Sustainability labels in the Spanish coffee market: A hedonic price approach. Spanish Journal of Agricultural Research, 21(1) e0102. https://doi.org/10.5424/sjar/2023211-19510
38
Merbah, N., & Benito-Hernández, S. (2024). Consumer Willingness-to-Pay for Sustainable Coffee: Evidence from a Choice Experiment on Fairtrade and UTZ Certification. Sustainability, 16(8), 3222. https://doi.org/10.3390/su16083222
39
40
OECD (2000). Voluntary Aproaches for Environmental Poicy: an Asessment,. Organisation for Economic Cooperation and Development Publishing. https://doi.org/10.1787/9789264180260-en
41
Nielsen, J.S., 2011. Use of the internet for willingness-to-pay surveys: a comparison of face-to-face and web-based interviews. Resource and Energy Economics, 33(1), 119-129. https://doi.org/10.1016/j.reseneeco.2010.01.006
42
Ormazabal, M., and Sarriegi, J.M. (2014) Environmental Management Evolution: Empirical Evidence from Spain and Italy. Business Strategy and the Environment, 23(2): 73–88. https://doi.org/10.1002/bse.1761
43
Programa Estado de la Nación (2023). Noveno Estado de la Educación https://d1qqtien6gys07.cloudfront.net/wp-content/uploads/2023/08/PEN_Noveno_Informe_estado_educacion_2023.pdf
44
Raynolds, L. T., Murray, D., & Heller, A. (2007). Regulating sustainability in the coffee sector: A comparative analysis of third‐party environmental and social certification initiatives. Agriculture and Human Values, 24, 147–163. https://doi.org/10.1007/s10460-006-9047-8
45
Rotaris, L., & Danielis, R. (2011). Willingness to pay for Fair Trade coffee: A conjoint analysis experiment with Italian consumers. Journal of Agricultural & Food Industrial Organization, 9(1). https://doi.org/10.2202/1542-0485.1305
46
Sánchez-Azofeifa, G., Pfaff, A., Robalino, J., & Boomhower, J. (2007). Costa Rica's Payment for Environmental Services Program: Intention, implementation, and impact. Conservation Biology, 21(5), 1165-1173. https://doi.org/10.1111/j.1523-1739.2007.00751.x
47
Schollenberg, L. (2012). Estimating the hedonic price for Fair Trade coffee in Sweden. British Food Journal, 114(3), 428-446. https://doi.org/10.1108/00070701211213519
48
Soliño, M. (2023). Social preferences for large marine protected areas in NW Spain. Marine Policy, 155, 105781. https://doi.org/10.1016/j.marpol.2023.105781
49
50
Tribunal Supremo de Elecciones de Costa Rica (2017). Padron Electoral de Costa Rica. Retrieved 10/17/2017, from https://www.tse.go.cr/descarga_padron.htm.
51
United Nations Environment Programme. (2019). Costa Rica named ‘UN Champion of the Earth’ for pioneering role in fighting climate change. Retrieved 11/14/2019, from https://www.unenvironment.org/news-and-stories/press-release/costa-rica-named-un-champion-earth-pioneering-role-fighting-climate
52
Ut-tha, V., Lee, P.-P., & Chung, R. (2021). Willingness to Pay for Sustainable Coffee: A Case of Thai Consumers. SAGE Open, 11(4). https://doi.org/10.1177/21582440211052956
53
Valenciano-Salazar, J.A., (2025). Julia A. Flagg, Aiming for Net Zero: Costa Rica’s Green Elite and the Struggle to Mitigate Climate Change MIT Press, 2024, pp. xv +240. Journal of Latin American Studies, 1-3. https://doi.org/10.1017/S0022216X25000161
54
Valenciano-Salazar, J.A., André, F.J., Soliño, M. (2021a). Societal awareness of environmental certifications in Costa Rica. Journal of Cleaner Production, 286(1) , 124966, https://doi.org/10.1016/j.jclepro.2020.124966
55
Valenciano-Salazar, J.A., André, F.J., Soliño, M. (2021b). Paying for for sustainable coffee in a developing country: Consumers’ profile in Costa Rica. Sustainability, 13, 9360. https://doi.org/10.3390/su13169360
56
Valenciano-Salazar, J. A., André, F. J., & Martín-de Castro, G. (2022). Sustainability and firms’ mission in a developing country: the case of voluntary certifications and programs in Costa Rica. Journal of Environmental Planning and Management, 65(11), 2029-2053. https://doi.org/10.1080/09640568.2021.1950658
57
Valenciano-Salazar, J. A., André, F. J., & Rivero, C. (2023). Media Coverage of Carbon Neutral Organizations in Costa Rica. Innovar: Revista de ciencias administrativas y sociales, 33(88), 19-36. https://doi.org/10.15446/innovar.v33n88.106254
58
Van Loo, E. J., Caputo, V., Nayga, R. M., Seo, H.-S., Zhang, B., & Verbeke, W. (2015). Sustainability labels on coffee: Consumer preferences, willingness-to-pay and visual attention to attributes. Ecological Economics, 118, 215–225. https://doi.org/10.1016/j.ecolecon.2015.07.011
59
Vignola, R., Klinsky, S., Tam, J., & McDaniels, T. (2013). Public perception, knowledge and policy support for mitigation and adaption to Climate Change in Costa Rica: Comparisons with North American and European studies. Mitigation and Adaptation Strategies for Global Change, 18(3), 303–323. https://doi.org/10.1007/s11027-012-9364-8
60
World Bank (2025). World Bank Open Data. Retrieved 17/10/2024, from https://data.worldbank.org/
61
Yang, S.-H., Hu, W., Mupandawana, M., & Liu, Y. (2012). Consumer willingness to pay for Fair Trade coffee: A Chinese case study. Journal of Agricultural and Applied Economics, 44(1), 21-34. doi: https://doi.org/10.1017/S1074070800000146
62
Zamith, R., Pinto, J., & Villar, M. (2012). Constructing climate change in the Americas: An analysis of news coverage in U.S. and South American newspapers. Science Communication, 35(3), 334–357. https://doi.org/10.1177/1075547012457470


