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Systematic Review

A Systematic Review of the Scope and Patterns of Green Consumption in Sub-Saharan Africa

by
Leïla Traoré
1,
Bienvenue Belinga
2 and
Guillaume Lescuyer
3,4,*
1
School of Economics, Clermont Auvergne University, 63000 Clermont Ferrand, France
2
Faculty of Economics and Applied Management, University of Douala, Douala 24517, Cameroon
3
CIRAD, Forests and Societies Research Unit, Montpellier University, 34398 Montpellier, France
4
CIFOR, Bogor 16115, Indonesia
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(8), 6343; https://doi.org/10.3390/su15086343
Submission received: 10 February 2023 / Revised: 20 March 2023 / Accepted: 3 April 2023 / Published: 7 April 2023
(This article belongs to the Special Issue Sustainable Development in Consumer Behaviour and Marketing)

Abstract

:
Despite the importance of “green consumption”, it has received little attention in sub-Saharan Africa. To address this gap, a systematic review of the scientific literature was conducted on the patterns of green consumption in this region using three parameters: green consumption, behaviour, and location. Forty-eight articles and publications were identified between 2010 and 2021 on Scopus, Web of Science, Google Scholar and grey literature. Scientific literature on green consumption in sub-Saharan Africa has expanded over the last five years, but it focuses primarily on emerging countries (Republic of South Africa and Nigeria) and the upper social classes. Most articles used the theory of planned behaviour as a theoretical framework. Green consumption of food and agricultural products are the most studied, with 14 articles. Energy, cosmetics, tourism, and textiles are each the subject of three specific publications. The emergence of middle-class consumers in sub-Saharan Africa is likely to contribute to the expansion of green consumption for a broad spectrum of goods and services.

1. Introduction

With climate change, biodiversity loss, and deforestation, companies are increasingly sensitive to global environmental issues [1]. These problems require the integration of environmental management into the management system of companies [2,3]. Taking the environment into account has become the mantra of companies wishing to expand their market share and have a competitive advantage in the global market [4]. As a result, an increasing number of companies are engaging in green production and adopting corporate social responsibility strategies [5].
Consumption patterns have also changed, and green consumption is developing throughout the world. Promoting green consumption is essential to achieving sustainable development [6,7]. We are witnessing the emergence of green consumption [8]. The global green consumption market has grown sevenfold in 20 years [9] and represents more than 4% of the food market [10].
Also called sustainable, ethical, or responsible consumption [4], green consumption consists of purchasing goods or services that meet individual needs, improving quality of life, minimising the use of natural resources and toxic materials, and reducing the amount of waste and pollutants throughout the life cycle of the service or product [11,12,13,14,15]. Green consumption behaviour has been the subject of numerous studies in developed countries over the past forty years [13,16,17,18,19,20], and more recently in emerging economies [21,22]. Less developed countries, especially in sub-Saharan Africa, have not yet been significantly influenced by this phenomenon [23,24,25]. Some researchers have started to study the premises of green consumption in sub-Saharan Africa in diverse sectors, ranging from timber [26], packaging [27,28], textiles [29,30], hotels [31,32] to organic food [33,34]. However, to date, no systematic review of the scientific literature on green consumption in sub-Saharan Africa has been conducted.
The objective of this article is to highlight the characteristics underlying green consumption patterns in sub-Saharan Africa based on a systematic review of the scientific and technical literature. The article starts with a detailed description of how we conducted the systematic review. We then present and classify our results to show the main green consumption patterns. Lastly, we discuss the limitations of the systematic review exercise and identify some avenues for reflection and action based on the current green consumption patterns in sub-Saharan Africa.

2. Methods

The review is based on standard research methods involving systematic research criteria [35,36,37]. The literature search for the systematic review was carried out between September and November 2021, using the PRISMA guidelines (Supplementary Materials) [38,39], SPAR-4-SLR protocols [40], and following the rules established by the publishers [41].
The systematic review combines three inclusion criteria: a thematic criterion that groups the terms that can be assimilated to green consumption, behaviour, and the geographical criterion of sub-Saharan Africa that gathers the countries concerned.
A preliminary reading of literature provides the words and expressions synonymous or similar to green consumption and behaviour, namely: green consumption, sustainable consumption, responsible consumption, ethic consumption, energy consumption, green purchase, green market, green product, sustainable products, environment, friendly product, eco-friendly product, environmental market, sustainable market, behaviour, attitude, intention, decision, and green consumption behaviour.
The geographical criterion is based on the list of the countries located in sub-Saharan Africa, namely: «south africa», «rsa», «angola», «benin», «botswana», «burkina faso», «burundi», «cameroon», «ivory coast», «ethiopia», «gabon», «gambia», «ghana», «guinea», «kenya», «lesotho», «liberia», «madagascar», «malawi», «mali», «mauritius», «mauritania», «mozambique»,«namibia», «niger», «nigeria», «uganda», «central african republic», «congo», «drc», «rwanda», «senegal», «sierra leone», «somalia», «sudan», «swaziland», «tanzania», «chad», «togo», «zambia», «zimbabwe».
The literature search was conducted on abstract, title, and keywords of the publications. We created algorithms based on the keywords and synonyms identified during the preliminary qualitative literature review (see in the Appendix A). Several iterations were necessary to perfect our algorithms. For example, we discarded words likely to yield irrelevant results and added other terms to capture all the articles on the topic that had been identified during the preliminary documentary research. The study period considered is 2010 to 2021. The review was conducted in English and French, i.e., the two most widely spoken languages in sub-Saharan Africa.
Key terms from a preliminary reading were used interchangeably and applied in Scopus and Web of Science, which are the main transdisciplinary databases for scientific articles. They are the most frequently used databases for systematic reviews in economic and environmental fields [42].
We also conducted literature searches using Google Scholar by entering keywords similar to those used in the review of the two scientific databases. Lastly, we included grey literature (dissertations and theses) mentioned in the articles identified in the peer-reviewed journals. Green consumption in sub-Saharan Africa is poorly studied and documented, so the grey literature provided some relevant complementary publications.
Four stages were necessary to select relevant articles based on inclusion and exclusion criteria: identification, selection, evaluation, and inclusion. The final choice to include or exclude articles was made once they had been read in full. Using the selection criteria, 1600 studies were initially identified from Scopus, Web of Science, Google Scholar, and grey literature. After deleting duplicates, we were left with 1490 articles. Next, we read the abstracts and discarded 1372 papers which did not meet some of the inclusion criteria, such as geographical area or the main topic of the publication. Lastly, after reading the remaining 118 articles in full, we retained 48 studies from 2010 to 2021 that met the inclusion criteria (Figure 1).

3. Results

3.1. Characteristics of the Studies

Given the heterogeneity of our database, we designed a qualitative synthesis for publications based on four variables: country, theoretical framework, sample size, product types, nature of respondents (Table 1). Theoretical framework shows the main theories used by the authors to analyse consumers’ behaviour. Sample size indicates the representativeness of the study. The nature of the respondents gives an idea of the customers’ patterns. The type of product makes explicit the sectors most influenced by green consumption.
We also drew out the main insights of each publication.

3.2. Classification of Selected Articles

  • By Journal
The 48 articles selected were published in 37 journals. Numerous scientific reviews discuss the topic of green consumption behaviour in sub–Saharan Africa, but only four journals published more than one article on the issue: Sustainability, Mediterranean Journal of Social Sciences, International Journal of Consumer Studies, and Journal of Cleaner Production, which published six, four, three and two articles, respectively, between 2010 and 2021.
  • By the Nature and Number of Respondents Interviewed
The studies on green consumption behaviour were based on surveys involving three types of respondents: consumers, consumers and non-consumers, students and households. In our sample, four studies have less than 50 respondents, 20 studies have a sample size of between 51 and 399 respondents, 21 studies have a sample size between 400 and 999 respondents, and only one study has more than 1000 respondents. One article does not mention the size of their sample, but simply the geographical scope of their analysis.
  • By Sector
The issue of green consumption behaviour is tackled in several economic sectors. Most relevant publications concern agriculture, which is covered in 14 studies. The circular economy is addressed in three studies, as well as natural resources and green technology and energy. Cosmetics, tourism, and textiles are each covered in three studies. Other sectors, such as marketing, construction, and natural resources appear in fewer publications on green consumption behaviour. In addition, seven studies discuss green consumption behaviour in general, without specifying the sectors concerned.
  • By Country
A total of 44% of the publications in the systematic review focus on the Republic of South Africa (RSA), 23% on Nigeria, 10% on Ghana, and 4% on Cameroon, and Tanzania. Eight percent of the studies concern Burkina Faso, Ethiopia, Kenya and Tanzania, and Mauritius. However, 6% of the studies deal with green consumption behaviour in developing countries, but do not give any further details on the countries concerned.
  • By Year of Publication
The articles included in the review date from 2010 to 2021. The number of publications on consumer behaviour has risen steadily, although the pattern has been uneven (Figure 2). From the year 2020 onwards, the number of publications increased, reaching its highest level in 2021.
  • By Theoretical Frameworks
The majority of publications (57.14%) rely wholly or partly on Ajzen’s theory of planned behaviour [80] to explain the relationship between the environment and consumer behaviour [26,34,43,49,51,57]. This theory is derived from Fishbein and Ajzen’s theory of reasoned behaviour [80]. It states that green purchase intention is driven by three predictor variables:
  • Attitude, which reveals the favourable or unfavourable feeling an individual may have about a product [81];
  • Subjective norms, which reflect the influence that society may have on an individual’s consumption choice [81];
  • Perceived behavioural control, which indicates an individual’s view of the ease or difficulty of engaging in responsible behaviour.
In addition, the indirect and/or direct effect of these three behavioural variables are generally assessed by the notion of mediator and moderator. The mediator effect is a mechanism by which an independent variable influences a dependent variable through a so-called mediating variable. The moderator variable determines the strength of the relationship between two variables [65]. This model has been used by several authors [3,32,33,62]. For example, media campaigns, consumer confidence, and altruism can be mediating or moderating variables. In some studies, behavioural variables may also act as mediators [49,62].

4. Discussion: What Are the Prospects for Green Consumption in Sub-Saharan Africa?

This systematic review is the first ever to highlight the characteristics of green consumption behaviour in sub-Saharan Africa. It highlights the factors that influence green consumption choices and serve as a signal for companies to increase their competitive advantage.
Using Prisma’s analysis method, we selected 48 articles for our study. The number of publications has increased over the past ten years and risen sharply since 2020. This topic appears to be generating more interest in the scientific world, a trend that is likely to continue in the coming years.
The number of economic sectors involved in green production is also increasing, although food remains the dominant sector.
Although the number of publications on green consumption in sub-Saharan Africa is growing, the number of green consumers remains limited. More than half of the publications focus on the RSA and Nigeria, the two largest economies in sub-Saharan Africa. These two countries are often referred to as “emerging countries” and, therefore, they are not necessarily representative of the economic situation in most African countries.
In addition, irrespective of the African country studied, the purchase of green products only concerns the upper—or extreme upper—fringe of the population, i.e., the wealthy and/or well educated [49,60,61]. The latter are more aware of the impact of responsible consumption and its virtues for health. The urban middle class, which is growing in sub-Saharan Africa, is not very aware of the issue [64,78]. In Africa, the working classes are still the majority in terms of sheer numbers, but their situation (poverty and lack of education) means that meeting their basic needs at the lowest cost is their main priority, rather than the environment [46,82].
Several studies demonstrated that the motivation to pay for green products was driven by attitude, subjective norms, and perceived behavioural control that positively impact the purchase intention of green products [32,43]. Some authors have gone further by providing an extension field to the theory of planned behaviour by adding some variables such as altruism, anxiety, knowledge, loyalty [46,57,61]. In sub-Saharan Africa’s economic context, where the vast majority of consumers have a limited budget, the pertinence of the theory of planned behaviour is debatable. Other variables besides attitudes, subjective norms, and perceived behavioural control determine the volume and type of consumption, such as social and economic variables (income level, gender, geographical origin, cultural background, etc.). For example, in a study, [54] came to the conclusion that gender positively influences the behaviour of visiting sustainable infrastructure in cities, especially among men. Similarly, [76] assessed a positive influence between gender and consumption behaviour. In addition, the study of [2] showed a positive relationship between consumer confidence and green consumption behaviour. Thus, a green marketing policy is essential to stimulate consumer confidence which will act directly on green purchasing behaviour. One perspective would therefore be to identify thresholds in terms of national economic development and individual income to optimise the explanatory and predictive power of the theory of planned behaviour.
Despite the relevance of this study, it has some limitations. The systematic review exercise is based on algorithms which were tested and readjusted many times to obtain a coherent and reliable list of scientific articles related to the topic, geographical area, and time period. However, this standardized analysis has three limitations. First, it must be supplemented by a non-automated review of technical reports and more “grey literature”, which are not published by the major private scientific publishers. This complementary review is inevitably partial, especially because it concerns an original field of study, where recent advances may not have been the subject of formal scientific publications. This is the case, for example, with participatory guarantee systems, which have developed rapidly in recent years [83], and are often based on small-scale forms of responsible consumption.
Second, the low number of articles is a limitation. Indeed, the last search was done in November 2021, so the articles from 2022 and 2023 are not among our selected articles. Moreover, the geography of the study means that we also have fewer articles.
Third, the systematic review revealed the diversity of green consumption patterns in sub-Saharan Africa, despite the dominant use of the theory of planned behaviour framework. For instance, several factors related to cultural heterogeneity explain the diversity of green consumption behaviour in this region and in different sectors, although the systematic review was unable to make them explicit.

5. Research Direction

Our results show that the emergence of green consumption in sub-Saharan Africa does not depend on a single factor, but on several other factors that jointly determine consumer behaviour. This paper provides an overview of the factors influencing green consumption behaviour to researchers who want to contribute to the emergence of green products in developing economies. Through further analysis of the factors and their correlation on the purchase of green products, researchers can determine the factors that most influence green consumption for a well-defined sector through a quantitative or quantitative analysis. Based on these results, they can propose sustainable policies to further stimulate this consumption, while controlling the factors that risk negatively impacting this consumption.
Interdisciplinary studies that integrate insights from psychology and economics should also be explored [84] in the context of new behavioural economics models. The acceleration in 2019 in the number of publications devoted to green consumption behaviours in sub-Saharan Africa draws on a wide range of research models published in various journals. Our study shows a predominance of the planned behaviour model. In the case of developing countries, a threshold in terms of national economic development or individual income should be established to see the effects of the theory of planned behaviour, which could be an avenue to explore for future research.
Future studies can use complementary theoretical frameworks such as self-determination theory [85] that could be useful in conceptualizing the origin of the precursors to theory of planned behaviour by bringing the concept of motivation into play [86,87]. Another avenue would be to use prospect theories that link psychological and economic prescriptions within the framework of behavioural economics [88]. Finally, future research can rely on experience-based methodological tools, as suggested by new models in behavioural economics [89].

6. Conclusions

The protection of the environment is a global concern. Faced with this situation, the demand for green products is on the rise, which has sparked interest in this subject in the research community. Green consumption is growing rapidly in sub-Saharan Africa too, but with greater expansion in emerging countries, such as South Africa and Nigeria. Moreover, its socio-economic scope is limited because only the upper classes can afford to pay for green products. The emergence of the middle classes is likely to be a major turning point in the expansion of green consumption in the region. The medium-term challenge is to raise awareness about responsible consumption among a less wealthy target audience, by developing approaches that are not necessarily linked to a higher level of income or education.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/su15086343/s1.

Author Contributions

L.T. performed the systematic analysis; L.T., B.B. and G.L. wrote the paper; G.L. managed the revision of the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Consortium of International Agricultural Research Centers Research Programme on Forests, Trees, and Agroforestry.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors thank Emilie Chirouze and Guillaume Cornu in CIRAD for their technical support. They also thank Isis Olivier for her review of this article in English.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Algorithm used for research in Scopus; the following algorithm was used:
TITLE-ABS-KEY((((“green consum*” OR “sustainab* consum*” OR “responsib* consum*” OR “ethic* consum*” OR “energy consum*” OR “green purchas*” OR “green market*” OR “green product*” OR “sustainable products” OR “environment* friendly product*” OR “eco-friendly product*” OR “environment* market*” OR “sustainable market*”) AND (behavior* OR attitude* OR intention* OR decision)) OR ((“consum* behavior*” OR “purchas* behavior*” OR “buy* behavior*” OR “consum* attitude*” OR “purchas* attitude*” OR “buy* attitude*” OR “consum* intention*” OR “purchas* intention*” OR “buy* intention*” OR “consum* decision*” OR “purchas* decision*” OR “buy* decision*” OR “consum* value*”) AND (green* OR environment* OR proenvironment* OR sustainab* OR ecolog* OR biodiversit* OR organic* OR natur* OR responsib* OR ethic* OR moral* OR fair* OR conscious* OR “eco-friendly” OR certified OR label* OR renewab* OR clean* OR wast* OR recycl* OR pollution* OR energy OR food* OR water* OR climat* OR carbon* OR ecosystem* OR agricultur* OR forest*)) OR ((“green* behavior*” OR “environment* behavior*” OR “proenvironment* behavior*” OR “environment* friendly behavior*” OR “sustainab* behavior*” OR “ecolog* behavior*” OR “responsib* behavior*” OR “recycl* behavior*” OR “green attitude*” OR “environment* attitude*” OR “environment* responsib*” OR “social* responsib*” OR “environment* concern*” OR “environment* conscious*” OR “environment* value*” OR “environment* self-identity” OR “environment* identity” OR “sustainab* practice*”) AND (consum* OR purchas* OR buy*))) AND (“sub saharan africa” OR “south africa” OR rsa OR angola OR benin OR botswana OR “burkina faso” OR burundi OR cameroon OR “ivory coast” OR ethiopia OR gabon OR gambia OR ghana OR guinea OR kenya OR lesotho OR liberia OR madagascar OR malawi OR mali OR mauritius OR mauritania OR mozambique OR namibia OR niger OR nigeria OR uganda OR “central african republic” OR congo OR drc OR rwanda OR senegal OR “sierra leone” OR somalia OR sudan OR swaziland OR tanzania OR chad OR togo OR zambia OR zimbabwe)).
We used the following algorithm in the Web of Science: TOPIC: (“green consumption” OR “sustainable consumption” OR “responsible consumption” OR “ethic consumption” OR “energy consumption” OR “green purchase” OR “green market” OR “green product” OR “sustainable products” OR “environment friendly product” OR “eco-friendly product” OR “environment market” OR “sustainable market”) AND TOPIC (behavior OR attitude OR intentio OR decision) AND ADDRESS: (“sub saharan africa” OR “south africa” OR rsa OR angola OR benin OR botswana OR “burkina faso” OR burundi OR cameroon OR “ivory coast” OR ethiopia OR gabon OR gambia OR ghana OR guinea OR kenya OR lesotho OR liberia OR madagascar OR malawi OR mali OR mauritius OR mauritania OR mozambique OR namibia OR niger OR nigeria OR uganda OR “central african republic” OR congo OR drc OR rwanda OR senegal OR “sierra leone” OR somalia OR sudan OR swaziland OR tanzania OR chad OR togo OR zambia OR zimbabwe).

References

  1. David, M. Economie des Approches Volontaires dans les Politiques Environnementales en Concurrence et Coopération Imparfaites. Ph.D. Thesis, Ecole Polytechnique X, Palaiseau, France, 2004. [Google Scholar]
  2. Barbu, A.; Catană, Ș.-A.; Deselnicu, D.C.; Cioca, L.-I.; Ioanid, A. Factors Influencing Consumer Behavior toward Green Products: A Systematic Literature Review. Int. J. Environ. Res. Public Health 2022, 19, 16568. [Google Scholar] [CrossRef]
  3. Amoako, G.K.; Dzogbenuku, R.K.; Abubakari, A. Do Green Knowledge and Attitude Influence the Youth’s Green Purchasing? Theory of Planned Behavior. Int. J. Product. Perform. Manag. 2020, 69, 1609–1626. [Google Scholar] [CrossRef]
  4. Borin, N.; Lindsey-Mullikin, J.; Krishnan, R. An Analysis of Consumer Reactions to Green Strategies. J. Prod. Brand Manag. 2013, 22, 118–128. [Google Scholar] [CrossRef]
  5. Elkhwesky, Z. A Systematic and Major Review of Proactive Environmental Strategies in Hospitality and Tourism: Looking Back for Moving Forward. Bus. Strategy Environ. 2022, 31, 3274–3301. [Google Scholar] [CrossRef]
  6. Kikuchi-Uehara, E.; Nakatani, J.; Hirao, M. Analysis of Factors Influencing Consumers’ Proenvironmental Behavior Based on Life Cycle Thinking. Part I: Effect of Environmental Awareness and Trust in Environmental Information on Product Choice. J. Clean. Prod. 2016, 117, 10–18. [Google Scholar] [CrossRef]
  7. Liobikienė, G.; Mandravickaitė, J.; Bernatonienė, J. Theory of Planned Behavior Approach to Understand the Green Purchasing Behavior in the EU: A Cross-Cultural Study. Ecol. Econ. 2016, 125, 38–46. [Google Scholar] [CrossRef]
  8. Chen, C.-C.; Chen, C.-W.; Tung, Y.-C. Exploring the Consumer Behavior of Intention to Purchase Green Products in Belt and Road Countries: An Empirical Analysis. Sustainability 2018, 10, 854. [Google Scholar] [CrossRef] [Green Version]
  9. Agencebio. L’Agriculture Bio dans le Monde. Available online: https://www.agencebio.org/wp-content/uploads/2021/01/Carnet_MONDE_2020-1.pdf (accessed on 30 January 2023).
  10. Agencebio. L’Agriculture Bio dans le Monde. Available online: https://www.agencebio.org/wp-content/uploads/2020/02/Carnet_MONDE_2019-1.pdf (accessed on 19 January 2022).
  11. Anderson, W.T.; Cunningham, W.H. The Socially Conscious Consumer. J. Mark. 1972, 36, 23–31. [Google Scholar] [CrossRef] [Green Version]
  12. Roberts, J.A. Profiling Levels of Socially Responsible Consumer Behavior: A Cluster Analytic Approach and Its Implications for Marketing. J. Mark. Theory Pract. 1995, 3, 97–117. [Google Scholar] [CrossRef]
  13. Tanner, C.; Wölfing Kast, S. Promoting Sustainable Consumption: Determinants of Green Purchases by Swiss Consumers: Promoting Sustainable Consumption. Psychol. Mark. 2003, 20, 883–902. [Google Scholar] [CrossRef]
  14. Jackson, T.; Michaelis, L. Policies for Sustainable Consumption; Sustainable Development Commission: London, UK, 2003.
  15. Gonzalez, C.; Korchia, M.; Menuet, L.; Urbain, C. How Do Socially Responsible Consumers Consider Consumption? An Approach with the Free Associations Method. Rech. Appl. Mark. Engl. Ed. 2009, 24, 25–41. [Google Scholar] [CrossRef] [Green Version]
  16. Knussen, C.; Yule, F.; MacKenzie, J.; Wells, M. An Analysis of Intentions to Recycle Household Waste: The Roles of Past Behaviour, Perceived Habit, and Perceived Lack of Facilities. J. Environ. Psychol. 2004, 24, 237–246. [Google Scholar] [CrossRef]
  17. Padel, S.; Foster, C. Exploring the Gap between Attitudes and Behaviour: Understanding Why Consumers Buy or Do Not Buy Organic Food. Br. Food J. 2005, 107, 606–625. [Google Scholar] [CrossRef] [Green Version]
  18. Petzer, C.; McGibbon, C.; Brown, I. Adoption of Green IS in South Africa: An Exploratory Study. In Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse Multidisciplinary Environment, Cape Town, South Africa, 3–5 October 2011; Association for Computing Machinery: New York, NY, USA, 2011; pp. 330–333. [Google Scholar]
  19. Dimitri, C.; Dettmann, R.L. Organic Food Consumers: What Do We Really Know about Them? Br. Food J. 2012, 114, 1157–1183. [Google Scholar] [CrossRef]
  20. Hamzaoui-Essoussi, L.; Zahaf, M. Canadian Organic Food Consumers’ Profile and Their Willingness to Pay Premium Prices. J. Int. Food Agribus. Mark. 2012, 24, 1–21. [Google Scholar] [CrossRef]
  21. Chan, R.Y.K. An Emerging Green Market in China: Myth or Reality? Bus. Horiz. 2000, 43, 55. [Google Scholar] [CrossRef]
  22. Mohd Suki, N. Consumer Environmental Concern and Green Product Purchase in Malaysia: Structural Effects of Consumption Values. J. Clean. Prod. 2016, 132, 204–214. [Google Scholar] [CrossRef] [Green Version]
  23. World Bank. Énergie Durable pour Tous: Malgré les Progrès, l’Afrique Reste Loin de l’Objectif—Médiaterre. Available online: http://www.mediaterre.org/actu,20160223152554,1.html (accessed on 31 January 2023).
  24. KfW, G.I.Z. La transition vers les énergies renouvelables en Afrique. Available online: https://www.pseau.org/outils/biblio/resume.php?d=9449 (accessed on 1 February 2023).
  25. Willer, H.; Trávníček, J.; Meier, C.; Schlatter, B. The World of Organic Agriculture 2021—Statistics and Emerging Trends; Willer, H., Trávníček, J., Meier, C., Schlatter, B., Eds.; FiBL and IFOAM: Frick, Switzerland, 2021; pp. 1–336. ISBN 978-3-03736-393-5. [Google Scholar]
  26. Belinga, B.; Chervier, C.; Lescuyer, G. Impact of a Media Campaign on Consumers’ Purchasing Intentions of Legal Timber in Cameroon. Soc. Nat. Resour. 2021, 34, 603–620. [Google Scholar] [CrossRef]
  27. Muposhi, A.; Mpinganjira, M.; Wait, M. Factors Influencing the Use of Non-Plastic Reusable Shopping Bags: A Cognitive-Normative-Habitual Approach. Aust. J. Environ. Educ. 2021, 37, 306–325. [Google Scholar] [CrossRef]
  28. Muposhi, A.; Mpinganjira, M.; Wait, M. Influence of Personal Value Orientations on Pro-Environmental Behaviour: A Case of Green Shopping Bags. Int. J. Environ. Waste Manag. 2021, 28, 76–92. [Google Scholar] [CrossRef]
  29. Momberg, D.; Jacobs, B.; Sonnenberg, N. The Role of Environmental Knowledge in Young Female Consumers’ Evaluation and Selection of Apparel in South Africa. Int. J. Consum. Stud. 2012, 36, 408–415. [Google Scholar] [CrossRef]
  30. Taljaard, H.; Sonnenberg, N.C.; Jacobs, B.M. Factors Motivating Male Consumers’ Eco-Friendly Apparel Acquisition in the South African Emerging Market. Int. J. Consum. Stud. 2018, 42, 461–468. [Google Scholar] [CrossRef]
  31. Fatoki, O. Consumers’ Intention to Stay in Green Hotels in South Africa: The Effect of Altruism and Green Self-Identity. Geoj. Tour. Geosites 2020, 32, 1310–1316. [Google Scholar] [CrossRef]
  32. Adetola, O.J.; Aghazadeh, S.; Abdullahi, M. Perceived Environmental Concern, Knowledge, and Intention to Visit Green Hotels: Do Perceived Consumption Values Matter? Pak. J. Commer. Soc. Sci. PJCSS 2021, 15, 240–264. [Google Scholar]
  33. Pacho, F. What Influences Consumers to Purchase Organic Food in Developing Countries? Br. Food J. 2020, 122, 3695–3709. [Google Scholar] [CrossRef]
  34. Dilotsotlhe, N. Factors Influencing the Green Purchase Behaviour of Millennials: An Emerging Country Perspective. Cogent Bus. Manag. 2021, 8, 1908745. [Google Scholar] [CrossRef]
  35. Canabal, A.; White, G.O. Entry Mode Research: Past and Future. Int. Bus. Rev. 2008, 17, 267–284. [Google Scholar] [CrossRef]
  36. Paul, J.; Parthasarathy, S.; Gupta, P. Exporting Challenges of SMEs: A Review and Future Research Agenda. J. World Bus. 2017, 52, 327–342. [Google Scholar] [CrossRef]
  37. Rosado-Serrano, A.; Paul, J.; Dikova, D. International Franchising: A Literature Review and Research Agenda. J. Bus. Res. 2018, 85, 238–257. [Google Scholar] [CrossRef]
  38. Liberati, A.; Altman, D.G.; Tetzlaff, J.; Mulrow, C.; Gøtzsche, P.C.; Ioannidis, J.P.A.; Clarke, M.; Devereaux, P.J.; Kleijnen, J.; Moher, D. The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration. Ann. Intern. Med. 2009, 151, W-65–W-94. [Google Scholar] [CrossRef] [Green Version]
  39. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, 71. [Google Scholar] [CrossRef]
  40. Paul, J.; Lim, W.M.; O’Cass, A.; Hao, A.W.; Bresciani, S. Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR). Int. J. Consum. Stud. 2021, 45, O1–O16. [Google Scholar] [CrossRef]
  41. Paul, J.; Criado, A.R. The Art of Writing Literature Review: What Do We Know and What Do We Need to Know? Int. Bus. Rev. 2020, 29, 101717. [Google Scholar] [CrossRef]
  42. Derhab, N.; Elkhwesky, Z. A Systematic and Critical Review of Waste Management in Micro, Small and Medium-Sized Enterprises: Future Directions for Theory and Practice. Environ. Sci. Pollut. Res. 2023, 30, 13920–13944. [Google Scholar] [CrossRef] [PubMed]
  43. Ackaah, W.; Kanton, A.T.; Osei, K.K. Factors Influencing Consumers’ Intentions to Purchase Electric Vehicles in Ghana. Transp. Lett. 2021, 14, 1031–1042. [Google Scholar] [CrossRef]
  44. Agyeiwaah, E.; Dayour, F.; Otoo, F.E.; Goh, B. Understanding Backpacker Sustainable Behavior Using the Tri-Component Attitude Model. J. Sustain. Tour. 2021, 29, 1193–1214. [Google Scholar] [CrossRef]
  45. Anvar, M.; Venter, M. Attitudes and Purchase Behaviour of Green Products among Generation Y Consumers in South Africa. Mediterr. J. Soc. Sci. 2014, 5, 183. [Google Scholar] [CrossRef] [Green Version]
  46. Armel, V.A.; Danièle, A.A. Motivations and Barriers to the Adoption of Ecological Behaviours: An Exploratory Study in Cameroon. Net J. Soc. Sci. 2021, 9, 43–52. [Google Scholar]
  47. Beneke, J.; Frey, N.; Deuchar, F.; Jacobs, A.; Macready, L. Towards an Understanding of the Influences on Attitude towards Green Cosmetics in South Africa. J. Contemp. Manag. 2010, 7, 477–491. [Google Scholar]
  48. Chao, E.; Uhagile, G.T. Consumer Perceptions and Intentions Toward Buying Green Food Products: A Case of Tanzania. J. Int. Food Agribus. Mark. 2022, 34, 23–38. [Google Scholar] [CrossRef]
  49. Ashinze, P.C.; Tian, J.; Ashinze, P.C.; Nazir, M.; Shaheen, I. A Multidimensional Model of Sustainable Renewable Energy Linking Purchase Intentions, Attitude and User Behavior in Nigeria. Sustainability 2021, 13, 10576. [Google Scholar] [CrossRef]
  50. Dilotsotlhe, N.; Duh, H.I. Drivers of Middle-Class Consumers’ Green Appliance Attitude and Purchase Behavior: A Multi-Theory Application. Soc. Mark. Q. 2021, 27, 150–171. [Google Scholar] [CrossRef]
  51. Eyinade, G.A.; Mushunje, A.; Yusuf, S.F.G. The Willingness to Consume Organic Food: A Review. Food Agric. Immunol. 2021, 32, 78–104. [Google Scholar] [CrossRef]
  52. Fatoki, O. Young Consumers’ Purchase Intention of Organic Personal Care Products. J. Leg. Ethical Regul. Issues 2020, 23, 1. [Google Scholar]
  53. Fatoki, O. Personality Traits and Green Purchasing Behaviour of Young Consumers. J. Manag. Inf. Decis. Sci. 2020, 23, 254–261. [Google Scholar]
  54. Gashu, K.; Gebre-Egziabher, T.; Wubneh, M. Local Communities’ Perceptions and Use of Urban Green Infrastructure in Two Ethiopian Cities: Bahir Dar and Hawassa. J. Environ. Plan. Manag. 2020, 63, 287–316. [Google Scholar] [CrossRef]
  55. Hamilton, B.; Terblanche-Smit, M. Consumer Intention to Purchase Green Vehicles in the South African Market: A Theory of Planned Behaviour Perspective. S. Afr. J. Bus. Manag. 2018, 49, a190. [Google Scholar] [CrossRef]
  56. Ibok, N.; George, S. Socio-Economic and Demographic Determinants of Green Consumption. Int. J. Manag. Stud. Res. 2014, 2, 47–56. [Google Scholar]
  57. Idoko, E.C.; Oraedu, C.; Ugwuanyi, C.C.; Ukenna, S.I. Determinants of Smart Meter on Sustainable Energy Consumption Behavior: A Developing Country Perspective. SAGE Open 2021, 11, 1–17. [Google Scholar] [CrossRef]
  58. Ifeanyichukwu, C.D.; Nwaizugbo, I.C. Determinants of Sustainable Foods Consumption: Evidence from Nigeria. Sustain. J. Rec. 2020, 13, 136–140. [Google Scholar] [CrossRef]
  59. Igwe, N.J.; Ogwo, U.; Abbah, O.I. Perceived Role of Extension Education in Promoting the Use of Biogas for Sustainable Agricultural Development in Nigeria. IOP Conf. Ser. Earth Environ. Sci. 2021, 730, 012034. [Google Scholar] [CrossRef]
  60. Issock Issock, P.B.; Mpinganjira, M.; Roberts-Lombard, M. Drivers of Consumer Attention to Mandatory Energy-Efficiency Labels Affixed to Home Appliances: An Emerging Market Perspective. J. Clean. Prod. 2018, 204, 672–684. [Google Scholar] [CrossRef]
  61. Issock Issock, P.B.; Roberts-Lombard, M.; Mpinganjira, M. The Importance of Customer Trust for Social Marketing Interventions: A Case of Energy-Efficiency Consumption. J. Soc. Mark. 2020, 10, 265–286. [Google Scholar] [CrossRef]
  62. Karatu, V.M.H.; Mat, N.K.N. The Mediating Effects of Green Trust and Perceived Behavioral Control on the Direct Determinants of Intention to Purchase Green Products in Nigeria. Mediterr. J. Soc. Sci. 2015, 6, 256. [Google Scholar] [CrossRef] [Green Version]
  63. Kini, J.; Pouw, N.; Gupta, J. Organic Vegetables Demand in Urban Area Using a Count Outcome Model: Case Study of Burkina Faso. Agric. Food Econ. 2020, 8, 22. [Google Scholar] [CrossRef]
  64. Mkhize, S.; Ellis, D. Creativity in Marketing Communication to Overcome Barriers to Organic Produce Purchases: The Case of a Developing Nation. J. Clean. Prod. 2020, 242, 118415. [Google Scholar] [CrossRef]
  65. Nduneseokwu, C.K.; Qu, Y.; Appolloni, A. Factors Influencing Consumers’ Intentions to Participate in a Formal E-Waste Collection System: A Case Study of Onitsha, Nigeria. Sustainability 2017, 9, 881. [Google Scholar] [CrossRef] [Green Version]
  66. Obayelu, O.A.; Adeoti, A.I.; Akinlade, A.A. Consumers’ Willingness to Pay for Labelled and Certified Moringa Products in Ogun State, Nigeria. Int. Food Res. J. 2015, 1, 122–130. [Google Scholar]
  67. Ogiemwonyi, O.; Harun, A.B.; Alam, M.N.; Karim, A.M.; Tabash, M.I.; Hossain, M.I.; Aziz, S.; Abbasi, B.A.; Ojuolape, M.A. Green Product as a Means of Expressing Green Behaviour: A Cross-Cultural Empirical Evidence from Malaysia and Nigeria. Environ. Technol. Innov. 2020, 20, 101055. [Google Scholar] [CrossRef]
  68. Ojiaku, O.C.; Achi, B.E.; Aghara, V.O. Cognitive-Affective Predictors of Green Purchase Intentions among Health Workers in Nigeria. Manag. Sci. Lett. 2018, 8, 1027–1038. [Google Scholar] [CrossRef]
  69. Opoku, R.; Famiyeh, S.; Kwarteng, A. Environmental Considerations in the Purchase Decisions of Ghanaian Consumers. Soc. Responsib. J. 2020, 16, 129–143. [Google Scholar] [CrossRef]
  70. Pacho, F.T.; Batra, M.M. Factors Influencing Consumers’ Behaviour towards Organic Food Purchase in Denmark and Tanzania. Stud. Agric. Econ. 2021, 123, 62–75. [Google Scholar] [CrossRef]
  71. Pudaruth, S.; Juwaheer, T.D.; Seewoo, Y.D. Gender-Based Differences in Understanding the Purchasing Patterns of Eco-Friendly Cosmetics and Beauty Care Products in Mauritius: A Study of Female Customers. Soc. Responsib. J. 2015, 11, 179–198. [Google Scholar] [CrossRef]
  72. Schulte, M.; Balasubramanian, S.; Paris, C.M. Blood Diamonds and Ethical Consumerism: An Empirical Investigation. Sustainability 2021, 13, 4558. [Google Scholar] [CrossRef]
  73. Scott, L.; Vigar-Ellis, D. Consumer Understanding, Perceptions and Behaviours with Regard to Environmentally Friendly Packaging in a Developing Nation. Int. J. Consum. Stud. 2014, 38, 642–649. [Google Scholar] [CrossRef]
  74. Synodinos, C.; Bevan-Dye, A.L.; De Klerk, N. Influence of Conative Attitudes towards Green Advertising on Black Generation Y Students’ Environmental Behaviour. Mediterr. J. Soc. Sci. 2013, 4, 3. [Google Scholar] [CrossRef]
  75. Synodinos, C.; Bevan-Dye, A.L. Determining African Generation Y Students’ Likelihood of Engaging in Pro-Environmental Purchasing Behaviour. Mediterr. J. Soc. Sci. 2014, 5, 101. [Google Scholar] [CrossRef] [Green Version]
  76. Thondhlana, G.; Hlatshwayo, T.N. Pro-Environmental Behaviour in Student Residences at Rhodes University, South Africa. Sustainability 2018, 10, 2746. [Google Scholar] [CrossRef] [Green Version]
  77. Wang, X.; Pacho, F.; Liu, J.; Kajungiro, R. Factors Influencing Organic Food Purchase Intention in Developing Countries and the Moderating Role of Knowledge. Sustainability 2019, 11, 209. [Google Scholar] [CrossRef] [Green Version]
  78. Wekeza, S.V.; Sibanda, M. Factors Influencing Consumer Purchase Intentions of Organically Grown Products in Shelly Centre, Port Shepstone, South Africa. Int. J. Environ. Res. Public. Health 2019, 16, 956. [Google Scholar] [CrossRef] [Green Version]
  79. Yang, L.; Bashiru Danwana, S.; Yassaanah, I.F. An Empirical Study of Renewable Energy Technology Acceptance in Ghana Using an Extended Technology Acceptance Model. Sustainability 2021, 13, 10791. [Google Scholar] [CrossRef]
  80. Ajzen, I.; Fishbein, M. Understanding Attitudes and Predicting Social Behavior; Prentice-Hall: Englewood Cliffs, NJ, USA, 1980; ISBN 978-0-13-936443-3. [Google Scholar]
  81. Ajzen, I. Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior1. J. Appl. Soc. Psychol. 2002, 32, 665–683. [Google Scholar] [CrossRef]
  82. Katt, F.; Meixner, O. A Systematic Review of Drivers Influencing Consumer Willingness to Pay for Organic Food. Trends Food Sci. Technol. 2020, 100, 374–388. [Google Scholar] [CrossRef]
  83. Lemeilleur, S.; Allaire, G. ‪Système participatif de garantie dans les labels du mouvement de l’agriculture biologique. Une réappropriation des communs intellectuels‪. Écon. Rural 2018, 365, 7–27. [Google Scholar] [CrossRef]
  84. Zhao, G.; Geng, Y.; Sun, H.; Tian, X.; Chen, W.; Wu, D. Mapping the Knowledge of Green Consumption: A Meta-Analysis. Environ. Sci. Pollut. Res. 2020, 27, 44937–44950. [Google Scholar] [CrossRef]
  85. Ryan, R.M.; Deci, E.L. Self-Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being. Am. Psychol. 2000, 55, 68–69. [Google Scholar] [CrossRef]
  86. Hagger, M.S. Theoretical Integration in Health Psychology: Unifying Ideas and Complementary Explanations. Br. J. Health Psychol. 2009, 14, 189–194. [Google Scholar] [CrossRef] [PubMed]
  87. Hagger, M.S.; Chatzisarantis, N.L.D. Integrating the Theory of Planned Behaviour and Self-Determination Theory in Health Behaviour: A Meta-Analysis. Br. J. Health Psychol. 2009, 14, 275–302. [Google Scholar] [CrossRef] [PubMed]
  88. Kahneman, D.; Tversky, A. Prospect Theory: An Analysis of Decision under Risk. Econometrica 1979, 47, 263–292. [Google Scholar] [CrossRef] [Green Version]
  89. Serra, D. Economie Comportementale; Economica: Paris, France, 2017; ISBN 978-2-7178-6929-3. [Google Scholar]
Figure 1. Flow chart for article selection process based on the PRISMA.
Figure 1. Flow chart for article selection process based on the PRISMA.
Sustainability 15 06343 g001
Figure 2. Number of publications per year.
Figure 2. Number of publications per year.
Sustainability 15 06343 g002
Table 1. Characteristics of green consumption found in the studies included in the systematic review.
Table 1. Characteristics of green consumption found in the studies included in the systematic review.
AuthorsCountryTheoretical
Framework
Product or
Service
Sample Size and
Nature of
Respondents
Main Results
Ackaah et al., 2021
[43]
GhanaTheory of planned
behaviour
Electric vehicles404 driversAttitude, subjective norms, and perceived behavioural control positively impact purchase intention. Environmental concerns, consumer awareness influence purchase intention. Government policies affect purchase intention through perceived behavioural control.
Adetola et al., 2021
[32]
NigeriaSocial
exchange theory
Green
hotels
401 hotel guestsEnvironmental knowledge, environmental concern, and consumption values positively affect the intention to visit green hotels. Environmental knowledge and concern indirectly influence the intention to visit green hotels in terms of consumption value.
Agyeiwaah et al., 2021
[44]
GhanaAttitude
model
Hiking400 hikersThe perceived impacts of hiking positively affect sustainable behaviour.
Amoako et al., 2020
[3]
GhanaTheory of planned
behaviour
Green
products
417 consumers in the main grocery stores in AccraGreen knowledge and green attitude positively influence young people’s green purchasing behaviour.
Anvar et al., 2014
[45]
Republic of South AfricaSocial
identification model
Green
agricultural
products
200 studentsSocial influence, environmental concern, and price influence consumers’ attitude towards green products. In turn, attitude has a positive impact on sustainable consumption behaviour. Being a woman has a greater influence on green purchasing behaviour and attitudes than being a man.
Armel et al., 2021
[46]
CameroonTheory of planned
behaviour,
Cognitive-affective
system theory
Natural agricultural
products
18 residents in the city of DoualaEgocentricity, eco-responsible behaviour, altruism, social norms, and needs for self-esteem positively influence ecological behaviour. On the other hand, the lack of municipal services, the feeling of inefficiency, the mentality, lack of knowledge of environmental issues, price, and time negatively impact ecological behaviour.
Belinga et al., 2021
[26]
CameroonTheory of planned
behaviour
Legal wood463 consumersThe media campaign has a positive impact on the intention to buy legal wood through attitude and subjective norms. Individual variables, such as previous buying behaviour and education, positively influence the intention to buy legal wood.
Beneke et al., 2010
[47]
Republic of South AfricaUndefined theoryCosmetics4% of male
consumers and 96% of
female
Age and income influence the consumption of green cosmetics. Affective and cognitive influences affect the buying attitude of green cosmetics.
Chao and Uhagile, 2020
[48]
Tanzania Green food399 consumersHealth, product quality, food safety, and age positively affect the purchase intention of green products. Intention affects actual purchase behaviour.
Ashinze et al., 2021
[49]
NigeriaTheory of planned
behaviour,
Technology
acceptance model, Theory of
innovation diffusion
Renewable energy500 heads of householdSubjective norms, attitude, ease of use, price, and awareness have a positive and direct impact on purchase intention. Also, attitude has a mediating effect on the intention to use renewable resources. Furthermore, intention also mediates the relationship between the determinants of consumption and use behaviour.
Dilotsotlhe et al., 2021
[50]
Republic of South AfricaTheory of planned
behaviour, Theory of
innovation
diffusion
Household electrical products500 middle-class users and non-usersRelative advantage, compatibility, and observability explain 84% of the attitude towards green products. Also, attitude, social value, subjective norms, and perceived behavioural control explain 83.1% of green product purchase intention. In addition, the perceived behavioural control variable alone explains 24.2% of actual consumption behaviour.
Dilotsotlhe, 2021
[34]
Republic of South AfricaTheory of planned
behaviour, Theory of
innovation
diffusion
Green
products
355 users and
non-users
Relative advantage, compatibility, and observability explain 84.0% of the attitude towards green purchasing. Attitude, subjective norms, and perceived behavioural control explain 83.4% of green purchase intention. Behavioural intention explained 24.2% of the variance in adoption behaviour.
Eyinade et al., 2021
[51]
WorldTheory of planned
behaviour
Organic
products
25 items including 10 North America, 13 Western Europe, 2 rest of the world Socio-economic and demographic variables affect organic purchasing behaviour. In addition, human health, food safety, intention, attitude, subjective norms and willingness to pay more, and local origin influence organic purchase.
Fatoki, 2020
[31]
Republic of South AfricaTheory of planned
behaviour
Green hotels416 hotel guestsAttitude, subjective injunctive norms, subjective descriptive norms, perceived behavioural control, altruism, and green self-identity have a positive and significant impact on consumer intention to choose green hotels. The partial mediating effect of attitude in the relationship between altruism and intention is significant.
Fatoki, 2020
[52]
Republic of South AfricaTheory of planned
behaviour
Organic care products412 studentsAttitude, subjective norms, perceived behavioural control, moral norms, and ethical identity positively influence the purchase intention of organic personal care products.
Fatoki, 2020
[53]
Republic of South AfricaTheory of the five (5) factorsGreen
products
298 students in two universitiesAwareness, extraversion, and openness to experience have a significant and positive impact on green purchasing behaviour.
Gashu et al., 2020
[54]
EthiopiaUndefined theorySustainable
infrastructure
430 usersGender positively influences the behaviour of visiting sustainable infrastructure in cities, especially for men. Age, accessibility, safety, level of education, type of green infrastructure, level of sensitivity, location, and opportunities for social activities are statistically significant factors influencing the perception of sustainable urban infrastructure.
Hamilton and Terblanche-Smit, 2018
[55]
Republic of South AfricaTheory of planned
behaviour
Electric vehiclesOnline survey with 196 peopleAttitude, perceived behavioural control, and subjective norms have a positive impact on the purchase intention of electric vehicles.
Ibok and George, 2014
[56]
NigeriaUndefined theoryGreen
products
102 members of the Green BrigadeAge, household income, professional status, purchasing habits, education level, and place of residence have a significant influence on the environmental responsibility and, therefore, the green consumption behaviour of consumers.
Idoko et al., 2021
[57]
NigeriaTheory of planned
behaviour
Smart meter150 semi-urban households that use, have used, or paid for and are in the process of installing smart meters.Anxiety and perceived behavioural control are the most influential variables on purchase intention for smart meters. Environmental concern, attitude, subjective norm indirectly affect sustainable consumption behaviour.
Ifeanyichukwu and Nwaizugbo, 2020
[58]
NigeriaUndefined theoryGreen food250 studentsNutritional balance, economic factors, socio-cultural factors, and environmental factors influence the consumption behaviour of sustainable food products.
Igwe et al., 2021
[59]
Nigeria Theory
production
Biomass268 members of the farmers’ association, 22 agricultural
extension workers
Extension training promotes the use and production of biomass from waste.
Issock Issock et al., 2018
[60]
Republic of South AfricaSocial
marketing
Home
appliances
440 consumersEnvironmental concern, social standards, and attitude significantly influence purchase intention. Attitude and price positively impact trust in environmental labels.
Issock Issock et al., 2020
[61]
Republic of South AfricaSocial
marketing
Electric
products
517 customers who paid for an
electronic device in the latest three years
Consumer satisfaction, attitude, product quality, loyalty, and price are significant and positively influence customer knowledge. Customer knowledge significantly and positively affects customer intention and loyalty towards eco-labelled products. Customer confidence has a positive partial mediating effect between the consumption determinant variables and the dependent variables (attitude, loyalty), except for the relationship between price and loyalty.
Karatu and Mat, 2015
[62]
NigeriaTheory of planned
behaviour
Green
products
440 studentsPerceived behavioural control, ecological knowledge, availability have a direct effect on purchase intention for green products. Perceived ecological value and ecological trust indirectly impact purchase intention through perceived behavioural control.
Kini et al., 2020
[63]
Burkina FasoNeo-
classical consumer theory
Organic
vegetables
202 consumersThe more health-sensitive consumers are, the more they buy organic vegetables. However, distance and price demotivate consumers to buy organic products.
Mkhize et al., 2020
[64]
Republic of South AfricaTheory of planned behaviourOrganic agricultural products25 people with knowledge of
organic products or irregular consumers.
People are sensitive to price, availability and labelling of organic products, which are barriers to organic purchasing behaviour. However, through communication marketing, these barriers can become factors that stimulate consumption.
Momberg et al., 2012
[29]
Republic of South AfricaNeo-classical consumer theoryEco-friendly clothing29 studentsConsumers are sensitive to price, aesthetics, and product maintenance, which affect their willingness to purchase eco-friendly clothing.
Muposhi et al., 2021
[28]
Republic of South AfricaTheory of planned behaviourNon-plastic reusable bags487 consumersAwareness of consequences has a significant positive influence on the attribution of responsibility. Also, personal norm has a positive effect on green bag purchasing behaviour.
Muposhi et al., 2021
[27]
Republic of South AfricaTheory of planned behaviourNon-plastic reusable bags487 consumersPersonal norms and attitude have a positive and significant effect on the purchase intention of non-plastic reusable bags while subjective norms negatively influence purchase intention. On the other hand, purchase intention has a significant and positive effect on the actual use behaviour of non-reusable plastic bags.
Nduneseokwu et al., 2017
[65]
NigeriaTheory of planned behaviourElectronic waste384 consumersAttitude, subjective norms, and environmental knowledge influence the intention to participate in e-waste collection. Access to collecting infrastructure moderates the relationship between attitude, subjective norms, and environmental knowledge.
Obayelu et al., 2015
[66]
NigeriaTheory of
planned
behaviour
Natural
product
150 consumersLabelling and certification have a positive impact on the consumption of moringa.
Ogiemwonyi, 2020
[67]
NigeriaTheory of
planned
behaviour
Green
products
267 consumersHealth and environmental concerns have a positive impact on purchasing behaviour. Organic culture, perceived behavioural control, and attitude positively influence green purchasing behaviour.
Ojiaku et al., 2018
[68]
NigeriaCognitive, affective and behavioural modelGreen
products
348 workers in a health institutionKnowledge of green and environmental products positively influences the purchase intention for green products.
Opoku et al., 2020
[69]
GhanaTheory of
planned
behaviour
Green
products
306 studentsAttitude, self-identity, and subjective norms positively affect green purchase intention.
Pacho and Batra, 2021
[70]
Tanzania and
Denmark
Theory of
planned
behaviour
Organic
agricultural
products
730 and 663
consumers in
Tanzania and Denmark
Knowledge and health are channels through which attitude, subjective norms, and perceived behavioural control influence organic purchasing behaviour.
Pacho, 2020
[33]
Developing countriesTheory of
planned
behaviour
Organic
products
730 consumersA positive relationship exists between subjective norms and attitude. Both variables have a positive impact on organic purchase intention. Knowledge and health have an indirect effect on the relationship between attitude, subjective norms, and purchase intention.
Petzer et al., 2011
[18]
Republic of South AfricaGreen
information systems theory
IT system7 companiesEconomic factors are the most influential in the adoption of the green information system. Ethnic factors motivate the adoption of this behaviour, but to a lesser extent than economic factors.
Pudaruth et al., 2015
[71]
MauritiusTheory of
planned
behaviour
Green care products150 consumersLifestyle, self-image, health, and economic conditions influence the purchase of green skin care products among women.
Schulte et al., 2021
[72]
Diamond producing countriesTheory of
planned
behaviour
Diamond418 buyers and
potential buyers of
diamonds
Ethics-sensitive consumers are willing to pay more for environmentally friendly goods. Country of safe origin has a positive impact on ethical consumer behaviour. Furthermore, income influences the choice of ethical diamond consumption.
Scott and Vigar-Ellis, 2014
[73]
Republic of South AfricaUndefined theoryEco-friendly packaging323 respondents on FacebookAlthough consumers are aware of environmental concerns, they lack knowledge about sustainable packaging.
Synodinos et al., 2013
[74]
Republic of South AfricaTheory of
planned
behaviour
Organic
clothing
400 studentsAdvertising, cognitive attitudes positively affect environmental behaviour.
Synodinos et al., 2014
[75]
Republic of South AfricaTheory of
planned
behaviour
Pro-environmental
products
332 studentsEnvironmental attitude, subjective norms, and perceived behavioural control have a direct and positive impact on students’ pro-environmental purchase intention and behaviour.
Taljaard et al., 2018
[30]
Republic of South AfricaNorm
activation theory
Eco-friendly
clothing
305 male
consumers
Attitudes and self-efficacy positively influence the purchase intention of green clothing.
Thondhlana and Hlatshwayo, 2018
[76]
Republic of South AfricaTheory of
planned
behaviour
Student
residence
160 studentsWomen and older people are more likely to adopt pro-environmental behaviour.
Wang et al., 2019
[77]
Kenya and TanzaniaTheory of
planned behaviour
Organic
products
331 and 350 consumers in Tanzania and KenyaAttitude, subjective norms, health have a significant impact on purchase intention for organic products. Perceived behavioural control has a weak influence on purchase intention in Kenya and is insignificant in Tanzania. Knowledge positively moderates the relationship between subjective norms, attitude, health concern, and intention to purchase organic food.
Wekeza and Sibanda, 2019
[78]
Republic of South AfricaNeo-classical
consumer theory
Organic
products
150 consumers of organic
fruit and
vegetables
Consumer income, technicality, education level positively influence the intention to buy organic products. Price has a negative influence on the intention to buy organic products.
Yang et al., 2021
[79]
GhanaTheory of
planned
behaviour and
theory of reasoned action
Renewable energy1068 consumersEnvironmental concern, perceived usefulness, perceived ease of use, and affordability have a significant and positive impact on the attitude towards renewable energy consumption. Environmental concern, attitude, affordability positively influence purchase intention.
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Traoré, L.; Belinga, B.; Lescuyer, G. A Systematic Review of the Scope and Patterns of Green Consumption in Sub-Saharan Africa. Sustainability 2023, 15, 6343. https://doi.org/10.3390/su15086343

AMA Style

Traoré L, Belinga B, Lescuyer G. A Systematic Review of the Scope and Patterns of Green Consumption in Sub-Saharan Africa. Sustainability. 2023; 15(8):6343. https://doi.org/10.3390/su15086343

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Traoré, Leïla, Bienvenue Belinga, and Guillaume Lescuyer. 2023. "A Systematic Review of the Scope and Patterns of Green Consumption in Sub-Saharan Africa" Sustainability 15, no. 8: 6343. https://doi.org/10.3390/su15086343

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