From Virtual Trees to Real Forests: Public Participation in Virtual Forest Realization Projects in China
Abstract
:1. Introduction
2. Methodology
3. Results
3.1. Study Characteristics
3.1.1. The Evolution of Publications
3.1.2. Differences between Chinese and English Articles
3.1.3. The Evolution of Research Methods
3.2. Content of Virtual Forest Realization Projects
3.3. Problems and Challenges of Virtual Forest Realization Projects
3.3.1. Government-Regulated Governance Model
3.3.2. Publicity Channels
3.3.3. Participation Process
3.3.4. Feedback Information
3.4. Influencing Factors of Virtual Forest Realization Projects
3.4.1. External Variables
3.4.2. Internal Variables
3.4.3. Demographic Variables
3.4.4. Theoretical Framework
3.5. Coping Countermeasures of Virtual Forest Realization Projects
3.5.1. Improvement of Governance Model
3.5.2. Optimization of Enterprise-Led Mode
3.5.3. Promotion of Government-Led Mode
4. Discussion
4.1. Contributions and Limitations
4.2. Future Research
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Researcher, Year | Research Focus | Sample Size | Methods | Theoretical Lens |
---|---|---|---|---|
English articles (42/69) | ||||
Ashfaq et al. (2023) [67] | The public’s intention for continuous participation in Ant Forest. | 353 Ant Forest users (172 were males, and 181 were females) | SEM 1 | Expectation–confirmation model task–technology fit model |
Ashfaq et al. (2022) [33] | The public’s experience, personal traits, and motivational factors influencing the intention to continue using Ant Forest. | 337 Ant Forest users (195 were males, and 142 were females) | PLS-SEM 2 | User experience, personal attributes, and motivational factors |
Ashfaq et al. (2021) [7] | The public’s attitudes towards Ant Forest and continuous intentions, moderated by environmental knowledge. | 293 Ant Forest users (129 were males, and 164 were females) | PLS-SEM | Behavioral reasoning theory |
Cao and Cheng (2024) [48] | The impact of gamification on public eco-friendly behaviors in Ant Forest. | 485 Ant Forest users (297 were males, and 188 were females) | PLS-SEM | Gamification affordances and cognitive evaluation theory |
Cao and Liu (2023) [41] | The mechanisms driving customers’ continuous consumption behaviors in Ant Forest. | 280 Ant Forest users (114 were males, and 166 were females) | SEM | Stimulus–organism–response theory and theory of planned behavior |
Cao et al. (2022) [40] | The impact of competition, cooperation, and shared gamified interactions on consumers’ low-carbon actions in Ant Forest. | 558 Ant Forest users (267 were males, and 129 were females) | SEM | Goal-framing theory |
Chen et al. (2020) [68] | Reasons for public participation in Ant Forest and environmental impacts of Ant Forest. | 600 Ant Forest users (219 were males, and 381 were females) | SEM | Environmental awareness and social motivation Online immersion and global cooperation intention |
Chen et al. (2023) [37] | Gamification in Ant Forest influences green consumption behaviors by enhancing perceived value and environmental concerns. | 18,069 comment postings and 486 respondents | Text-coding and SEM | Gamification affordances, psychological outcomes, and behavioral outcomes |
Cheng and Cheng (2024) [69] | This study explores how Ant Forest influences tourists’ intention to pay for visiting destinations that involve their participation. | 320 Ant Forest users (137 were males, and 183 were females) | SEM | Theory of motivation |
Cheng and Cao (2024) [46] | Gamification in Ant Forest positively affects users’ intentions to engage in sustainable behaviors. | 393 Ant Forest users (166 were males, and 227 were females) | PLS-SEM | Cognitive evaluation theory and gamification affordances |
Huang and Zhou (2021) [19] | The roles of social gamification affordances in Ant Forest. | 602 Ant Forest users (311 were males, and 291 were females) | PLS-SEM | Gamification affordances, psychological outcomes, and behavioral outcomes |
Huang et al. (2024) [43] | Gamification in Ant Forest influences how consumers engage with brands through social media marketing. | 305 Gen Z (born between 1996 and 2014) users of Ant Forest | PLS-SEM | Social media marketing (entertainment, interaction, trendiness, customization, and word-of-mouth). |
Huang et al. (2023) [47] | The relationship between gamification, perceived enjoyment, sustainable consumption, and green advertising in Ant Forest. | 305 Ant Forest users (age between 18 and 25) | PLS-SEM | Theory of planned behavior |
Lin and Lee (2024) [50] | Consumer social responsibility and long-term orientation affect the intention to continue using Ant Forest. | 377 Ant Forest users (152 were males, and 225 were females) | PLS-SEM | Unified theory of acceptance and use of technology |
Loizeaux (2023) [70] | The use of financial technology to address environmental issues, exemplified by Ant Forest. | —— | Qualitative | —— |
Lu et al. (2024) [39] | The internal link between gamified interactions and green value co-creation behaviors in Ant Forest. | 410 Ant Forest users (192 were males, and 218 were females) | SEM | Interaction ritual chains theory and green value co-creation |
Ma and Liu (2022) [28] | Public participation in Ant Forest can influence green consumption behaviors. | 517 Ant Forest users (204 were males, and 313 were females) | SEM | Theory of stimulus–organism–response |
Mi et al. (2024) [39] | The decision-making process of group participation in Ant Forest. | —— | Multi-agent simulation | Regret theory |
Mi et al. (2021) [51] | The driving psychology of users’ continuous behaviors in Ant Forest. | 951 valid questionnaires | SEM | Gratifications theory |
Obuobi, Tang et al. (2024) [52] | The impact of autonomous and controlled motivation on attitudes, intentions, and conservation behaviors in Ant Forest. | 502 Ant Forest users (229 were males, and 273 were females) | PLS-SEM | Technology acceptance model and self-determination theory |
Shao and Xu (2023) [66] | The impact of Ant Forest on environmental behaviors. | 473 Ant Forest users (213 were males, and 260 were females) | SEM | Theory of reasoned action, knowledge–attitude–behavior theory, diffusion of innovation theory, reinforcement, and learning theory |
Shen et al. (2021) [71] | The influence of Internet commonweal characteristics on participation intention of Ant Forest. | 584 Ant Forest users (283 were males, and 301 were females) | SEM | Stimulus–organism–response model |
Sun and Xing (2022) [45] | This study uses Ant Forest to examine how gamification participation motivation, ongoing usage, and eco-friendly consumption behaviors interact. | 530 Ant Forest users (279 were males, and 251 were females) | SEM | Combining persuasion theory |
Wang et al. (2022) [29] | The spatial distribution and quantitative effects on the carbon sink of Ant Forest. | NPP of vegetation in each Ant Forest area from 2016 to 2020 | Web crawler | —— |
Wang et al. (2022) [65] | The factors that motivate users to participate in Ant Forest. | 400 Ant Forest users (260 were males, and 140 were females) | Multiple regression model | —— |
Wang and Yao (2020) [44] | The factors that lead to users’ continuous participation in Ant Forest. | Group interviews and 207 questionnaires | Qualitative | Two-dimensional Kano model |
Wei, Wang et al. (2024) [60] | Digital technology influences Ant Forest users’ intentions to engage in eco-friendly travel. | 214 Ant Forest users (102 were males, and 112 were females) | SEM | Stimulus–organism–response theory and goal-framing theory |
Wu and Sun (2022) [72] | The effect of gossip within Ant Forest and strategies to manage it to boost public engagement. | —— | Game theory | —— |
Xiong et al. (2022) [6] | The game elements to motivate users in Ant Forest. | 500 Ant Forest users (230were males, and 270 were females) | SEM | Stimulus–organism–response theory and self-determination theory |
Xiong et al. (2024) [27] | The effect of participating in Ant Forest on consumers’ low-carbon behavior. | 298 Ant Forest users (137 were males, and 161 were females) | SEM | Theory of consumption value and stimulus–organism–response theory |
Yang et al. (2018) [49] | Factors affecting the ongoing use of Ant Forest by the public. | 295 Ant Forest users (150 were males, and 145 were females) | PLS-SEM | Persuasion and motivation theories |
Zafar et al. (2024) [38] | The impact of gamification on sustainable purchasing behavior in Ant Forest. | 320 users and 238 non-users | PLS-SEM | Gamified learning and behavioral reasoning theory |
Zhang et al. (2022) [42] | Ant Forest and its influence on the public pro-environmental behaviors. | 596 Ant Forest users (227 were males, and 369 were females) | SEM | Value theory |
Zhang and Anwar (2023) [64] | Gamification in Ant Forest encourages users to engage in environmentally responsible behavior after adoption. | 1869 Ant Forest users (1026 were males, 843 were females) | PLS-PM | Persuasion and motivation theories and affordances–psychological outcomes–behavioral outcomes framework |
Zhang (2023) [63] | The impact of various factors on green self-awareness and individual behavior change, illustrated through a research model using the Ant Forest app. | 220 respondents | PLS- SEM | Environmental concern, sense of achievement, social and entertainment, self-awareness change, and individual behavior change |
Zhang and Zhang (2023) [9] | The factors influencing public participation in Ant Forest and Internet plus national voluntary tree-planting. | 604 Internet plus national voluntary tree-planting and 802 Ant Forest users | SEM | Theory of planned behavior and knowledge–attitude–practice |
Zhang et al. (2021) [73] | Ant Forest aids in land restoration and has notable socio-economic impacts. | Official reports from Alibaba’s ant financial and remote sensing data | Qualitative | —— |
Zhang et al. (2020) [8] | The factors influencing the public’s continuous intention to use Ant Forest. | 278 Ant Forest users (100 were males, 178 were females) | PLS-SEM | Perceived cost, environmental concern, game interaction, perceived enjoyment, and satisfaction |
Zhao et al. (2021) [74] | The effective incentive mechanisms in Ant Forest for reducing household carbon emissions. | —— | Game theory | —— |
Zhong et al. (2020) [14] | Taking Ant Forest as an example to expound the combination of Internet technology innovation and digital financing. | Case study | Qualitative | —— |
Zhou et al. (2023) [26] | The impact of gamification features on users’ pro-environmental behavior in Ant Forest. | 400 Ant Forest users (70 were males, 162 were females) | SEM | Affordance–psychological outcomes–behavior outcomes framework |
Zhou et al. (2022) [75] | The way gamification affects users’ perceived benefits and their intention to continue using Ant Forest. | The first questionnaire had 600 participants, and the second follow-up had 448 participants, resulting in 367 valid questionnaires | PLS-SEM | Affordances–psychological outcomes–behavioral outcomes framework |
Chinese articles (27/69) | ||||
Du et al. (2022) [76] | Gamification drives green consumption behavior of Ant Forest users. | 5737 posts and 32,817 comments | Ethnography | Needs–affordances–features and goal-framing theory |
Fan et al. (2017) [77] | Psychological mechanism of public participation in Ant Forest. | 323 valid questionnaires (160 were males, 163 were females) | SEM | Theory of social presence and Maslow’s hierarchy of needs |
Guo et al. (2023) [24] | The internal mechanism of Ant Forest users’ shift to offline green consumption. | 504 valid questionnaires | SEM | Behavior reasoning theory |
Hu and Zhang (2018) [61] | The enlightenment of Ant Forest on environmental communication. | Publicly available data | Qualitative | —— |
Li et al. (2023) [36] | The core driving force of gamified design in Ant Forest for young people’s online low-carbon practices. | One is the collection of online textual materials; the second is in-depth interviews | Ethnography | Emotional entertainment mechanism, moral code mechanism, and cost–benefit mechanism |
Lin and Xiu (2022) [58] | The influencing factors and mechanisms of college students’ participation in Ant Forest. | 607 college students (160 were males, 163 were females) | SEM | Stimulus organism response theory |
Liu (2019) [30] | The generation logic of gamification of public welfare communication in Ant Forest. | Publicly available data | Qualitative | Self-determination theory and flow |
Liu et al. (2024) [35] | The impact mechanism of virtual real transformation on users’ low-carbon behavior willingness on the Ant Forest platform. | 753 valid questionnaires (292 were males, 372 were females) | PLS-SEM | Affordance–psychological outcomes–behavioral outcomes |
Mao et al. (2021) [78] | The relationship among digital experience environment, customer—enterprise social value co-creation, customer engagement, and social responsibility relevance in Ant Forest. | 319 valid questionnaires (162 were males, 157 were females) | SEM | Self-determination theory, meaning construction theory, and attribution theory of cognitive psychology |
Mou et al. (2023) [79] | Exploration of the driving mechanisms of openness and sociality characteristics on virtual identity in Ant Forest. | 343 valid questionnaires (115 were males, 228 were females) | SEM | Social identity theory |
Qin and Tian (2021) [23] | Eco-friendly games in Ant Forest have an impact on public environmental behavior. | 1246 valid questionnaires Beijing (n = 315) Shanghai (n = 312) Tianjin (n = 312) Chongqing (n = 307) | SEM | Goal-framing theory |
She et al. (2023) [80] | The positive spillover effects and influencing mechanisms of digital green behavior in Ant Forest. | 228 valid questionnaires (107 were males, 121 were females) | SEM | Psychological ownership and self-perception theory |
She et al. (2023) [81] | Taking Ant Forest as an example to examine the spillover effect of digital green behavior. | 304 valid questionnaires (92 were males, 212 were females) | SEM | Behavioral spillover theory, psychological ownership, environmental self-awareness |
Tong and Sun (2022) [17] | Taking Ant Forest and national voluntary tree-planting as examples to examine social discourse in the process of platformization. | Semi-structured interview Publicly available data | Qualitative | The analytical framework of “state market society” |
Tong et al. (2023) [34] | The negative spillover effects of gamified design in Ant Forest. | Publicly available data | Quasi-experimental Research | Gamified marketing theory and target adjustment theory |
Wang and Yang (2024) [22] | The leisure labor process and continuous labor mechanism of Ant Forest user groups. | In-depth interview Publicly available data | Qualitative | Grounded theory |
Wang and Shen (2021) [82] | Merging Ant Forest with gardening to advance urban garden landscape development. | Publicly available data | Qualitative | 4I principle (interesting, interests, interaction, and individuality) |
Xi and Yang (2020) [31] | An analysis was conducted on the public welfare communication practices of Ant Forest. | Publicly available data | Qualitative | —— |
Yang (2021) [59] | The behavior, motivation, and psychology of youth participation in Ant Forest from a cognitive perspective. | 15 cases | Case study | Motivation theory, technology acceptance model, and embedding theory |
Zhang and Tang (2022) [83] | The boundary conditions and mechanisms by which gamification affects consumer participation willingness in Ant Forest. | Divided into two groups for investigation (384 valid questionnaires; 332 valid questionnaires) | SEM | Social cognitive theory, mechanics dynamics aesthetics design framework |
Zhang and Wang (2022) [32] | The mechanism of the impact of corporate social responsibility perception on participation willingness in Ant Forest. | 512 valid questionnaires (272 were males, 240 were females) | SEM | Customer psychological empowerment |
Zhang et al. (2022) [62] | The significant difference in the impact of public participation in Ant Forest on their environmental behavior in different regions. | Publicly available data (Select the experimental and control group based on the public welfare watering amount in the “Ant Forest” list) | Quasi-experimental Research | —— |
Zhang and Wang (2023) [84] | Taking Ant Forest as an example to analyze the demand for realizing its ecological product value. | Publicly available data | Qualitative | —— |
Zhang and Zhang (2021) [10] | Comparison of Ant Forest and national voluntary tree-planting. | Publicly available data | Qualitative | —— |
Zhang and Zhang (2022) [16] | Comparative analysis of influencing factors between Ant Forest and national voluntary tree-planting. | 802 valid questionnaires (404 were males, 398 were females) | SEM | Theory of planned behavior and knowledge–attitude–practice |
Zhou et al. (2020) [11] | Analysis of Ant Forest generating virtual forest carbon sequestration. | Publicly available data | Qualitative | —— |
Zhou et al. (2019) [85] | The impact of interactivity in Ant Forest on the sustained usage intention of mobile app users. | 511 valid questionnaires (227 were males, 284 were females) | SEM | Persuasion knowledge |
References
- Shi, H.; Fan, J.; Zhao, D. Predicting household PM2.5-reduction behavior in Chinese urban areas: An integrative model of Theory of Planned Behavior and Norm Activation Theory. J. Clean. Prod. 2017, 145, 64–73. [Google Scholar] [CrossRef]
- Cabon, A.; Kannenberg, A.S.; Arain, A.; Babst, F.; Baldocchi, D.; Belmecheri, S.; Delpierre, N.; Guerrieri, R.; Maxwell, J.T.; McKenzie, S.; et al. Anderegg, Cross-biome synthesis of source versus sink limits to tree growth. Science 2022, 376, 758–761. [Google Scholar] [CrossRef]
- Zhang, Y.; Obuobi, B.; Hwarari, D.; Zhang, Z. A Comprehensive Model Assessment of China’s Forestry and Climate Change. Forests 2023, 14, 1454. [Google Scholar] [CrossRef]
- Chen, C.; Park, T.; Wang, X.; Piao, S.; Xu, B.; Chaturvedi, R.K.; Fuchs, R.; Brovkin, V.; Ciais, P.; Fensholt, R.; et al. China and India lead in greening of the world through land-use management. Nat. Sustain. 2019, 2, 122–129. [Google Scholar] [CrossRef]
- Green, J.K.; Keenan, T.F. The limits of forest carbon sequestration. Science 2022, 376, 692–693. [Google Scholar] [CrossRef] [PubMed]
- Xiong, N.; Ren, P.; Sun, B.; He, S.; Jiang, L.; Cui, H. Influence of incentive mechanism and fit degree on user’s environmental behavior—Taking Alipay “Ant Forest” in China as an example. Front. Psychol. 2022, 13, 1033553. [Google Scholar] [CrossRef]
- Ashfaq, M.; Zhang, Q.Y.; Ali, F.; Waheed, A.; Nawaz, S. You plant a virtual tree, we’ll plant a real tree: Understanding users’ adoption of the Ant Forest mobile gaming application from a behavioral reasoning theory perspective. J. Clean. Prod. 2021, 310, 127394. [Google Scholar] [CrossRef]
- Zhang, Y.; Xiao, S.; Zhou, G. User continuance of a green behavior mobile application in China: An empirical study of Ant Forest. J. Clean. Prod. 2020, 242, 118497. [Google Scholar] [CrossRef]
- Zhang, W.; Zhang, Z. Public participation behavior in “Internet plus tree-planting” in China: A comparison between government-led and enterprise-led modes. J. Clean. Prod. 2023, 433, 139681. [Google Scholar] [CrossRef]
- Zhang, W.; Zhang, Z. Government-Led and Enterprise-Led Models of “Internet + Planting Trees”: Comparison and Optimization. For. Grassl. Resour. Res. 2021, 05, 33–40. (In Chinese) [Google Scholar] [CrossRef]
- Zhou, B.; Peng, X.; Wan, L. Legal Analysis of “Virtual”Forest Carbon Sequestration. World For. Res. 2020, 33, 15–19. (In Chinese) [Google Scholar] [CrossRef]
- ElHaffar, G.; Durif, F.; Dubé, L. Towards closing the attitude-intention-behavior gap in green consumption: A narrative review of the literature and an overview of future research directions. J. Clean. Prod. 2020, 275, 122556. [Google Scholar] [CrossRef]
- Joshi, Y.; Rahman, Z. Factors Affecting Green Purchase Behaviour and Future Research Directions. Int. Strateg. Manag. Rev. 2015, 3, 128–143. [Google Scholar] [CrossRef]
- Zhong, H.; Dixon, K.W.; Coulson, T. E-greening the planet. Ecol. Lett. 2020, 23, 1733–1735. [Google Scholar] [CrossRef] [PubMed]
- Lu, Y. A systematic literature review on social innovation for sustainable development in China. Environ. Dev. Sustain. 2024, 1–28. [Google Scholar] [CrossRef]
- Zhang, W.; Zhang, Z. Public participation willingness in “Internet plus tree planting” in the context of carbon neutrality and its choice of government-and firm-led models. J. Ecol. Rural. Environ. 2022, 38, 992–1001. (In Chinese) [Google Scholar] [CrossRef]
- Tong, T.; Sun, P. From “National Voluntary Tree Planting” to “Carbon Account”: Platformization of Ant Forest and Reflections on Youth Discourse Strategies. China Youth Study 2022, 11, 79–87. (In Chinese) [Google Scholar] [CrossRef]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Dec. 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Huang, J.; Zhou, L. Social gamification affordances in the green IT services: Perspectives from recognition and social overload. Internet Res. 2021, 31, 737–761. [Google Scholar] [CrossRef]
- Hines, J.; Hungerford, H.; Tomera, A. Analysis and Synthesis of Research on Responsible Environmental Behavior: A Meta-Analysis. J. Environ. Educ. 1987, 18, 1–8. [Google Scholar] [CrossRef]
- Peng, Y. Analysis of the Impact of Urban Residents’ Environmental Cognition on Environmental Behavior. J. Cent. South Univ. (Soc. Sci.) 2015, 21, 168–174. (In Chinese) [Google Scholar] [CrossRef]
- Wang, R.; Yang, Y. Cultural Domestication: The Sustaining Mechanism of Leisure Laboring about “Tree Planting”. J. Res. 2024, 4, 57–70+118–119. (In Chinese) [Google Scholar] [CrossRef]
- Qin, C.S.; Tian, Y. Gamifying Pro-environmental Behavior—Are Environmental Game Players More Environmental-friendly than Others? China Public Adm. Rev. 2021, 3, 5–25. (In Chinese) [Google Scholar]
- Guo, G.Q.; Liu, R.J.; Wang, J.G. Research on the Internal Mechanism of “Ant Forest” Users Migrating to Offline Green Consumption: Based on Behavioral Reasoning Theory. J. Manag. 2023, 36, 56–69. (In Chinese) [Google Scholar] [CrossRef]
- Koo, S.H. A Study on the Influence of CSV Activities on the Brand Image and Consumer Behavior of Companies: Focused on the Alipay Ant Forest Campaign. J. Arts Cult. Manag. 2020, 13, 91–120. [Google Scholar] [CrossRef]
- Zhou, F.; Lin, Y.; Mou, J. Unpacking the effect of gamified virtual CSR cocreated on users’ pro-environmental behavior: A holistic view of gamification affordance. Technol. Soc. 2023, 73, 102228. [Google Scholar] [CrossRef]
- Xiong, W.; Liu, D.; Li, Z.; Wang, Q.; Yao, S. How Does Ant Forest Influence Low Carbon Consumption Behavior: An Analysis Based on the S-O-R Model. Sustainability 2024, 16, 1736. [Google Scholar] [CrossRef]
- Ma, Y.; Liu, C. The Impact of Online Environmental Platform Services on Users’ Green Consumption Behaviors. Int. J. Environ. Res. Public Health 2022, 19, 8009. [Google Scholar] [CrossRef]
- Wang, N.; Hou, W.; Zhang, X.; Wang, Z.; Yang, L. Quantifying the effects of the ‘Internet plus Ecology’ framework on carbon sink in the digital age: A representative study of Ant Forest in China. Environ. Res. Lett. 2022, 17, 124005. [Google Scholar] [CrossRef]
- Liu, F. The generated logic of the Gamification of Public Welfare Communication in the Internet Age. J. Mass Commun. 2019, 11, 89–98. (In Chinese) [Google Scholar] [CrossRef]
- Xi, F.; Yang, X. Exploration of the Path of Public Welfare Communication in the New Media Era—Taking “Ant Forest” as an Example. Media 2020, 7, 78–80. (In Chinese) [Google Scholar]
- Zhang, J.; Wang, H. The influencing factors on the willingness to participate in virtual corporate social responsibility co-creation. Sci. Res. Manag. 2022, 43, 90–99. (In Chinese) [Google Scholar] [CrossRef]
- Ashfaq, M.; Zhang, Q.; Zafar, A.U.; Malik, M.; Waheed, A. Understanding Ant Forest continuance: Effects of user experience, personal attributes and motivational factors. Ind. Manag. Data Syst. 2022, 122, 471–498. [Google Scholar] [CrossRef]
- Tong, Z.L.; Li, G.C.; Xiao, H.W.; Wang, K.; Feng, J.D. The Negative Spillover Effect of Gamification on Green Consumption Behavior and Its Coping Strategy. Nankai Bus. Rev. 2023, 26, 27–37. (In Chinese) [Google Scholar]
- Liu, M. Interconnecting the Virtual and the Real: The Impact of Virtual-Real Transformation on Users’ Low-Carbon Behavior in Green Gamification Platforms. Soft Sci. 2024, 1–11. Available online: http://kns.cnki.net/kcms/detail/51.1268.G3.20240128.1719.010.html (accessed on 2 September 2024). (In Chinese).
- Li, T.; Fan, L.; Wang, C. The Gamification Drive of Youth Low-Carbon Practices in the Internet Context: Models, Evolutionary Mechanisms, and Ethical Reflections. China Youth Study 2023, 6, 5–14. (In Chinese) [Google Scholar] [CrossRef]
- Chen, S.; Li, B.; Zhou, Q.; Liu, H. From Virtual Trees to Real Forests: The Impact of Gamification Affordances on Green Consumption Behaviors in Ant Forest. Environ. Commun. 2023, 18, 525–549. [Google Scholar] [CrossRef]
- Zafar, A.U.; Shahzad, M.; Shahzad, K.; Appolloni, A.; Elgammal, I. Gamification and sustainable development: Role of gamified learning in sustainable purchasing. Technol. Forecast. Soc. 2024, 198, 122968. [Google Scholar] [CrossRef]
- Mi, L.; Jiang, L.; Xu, T.; Han, J.; Zhu, Y.; Qiao, L.; Wang, W.; Niu, M. Motivating more people to engage in online green behavior: A multi-agent simulation study of Ant Forest. J. Clean. Prod. 2024, 448, 141683. [Google Scholar] [CrossRef]
- Cao, Y.; Kou, F.; Hu, H.; Wan, G. How gamified cooperation and competition motivate low-carbon actions: An investigation of gamification in a popular online payment platform in China. J. Environ. Manag. 2022, 324, 116259. [Google Scholar] [CrossRef]
- Cao, P.; Liu, S. The Impact of Artificial Intelligence Technology Stimuli on Sustainable Consumption Behavior: Evidence from Ant Forest Users in China. Behav. Sci. 2023, 13, 604. [Google Scholar] [CrossRef] [PubMed]
- Zhang, B.; Hu, X.; Gu, M. Promote pro-environmental behaviour through social media: An empirical study based on Ant Forest. Environ. Sci. Policy 2022, 137, 216–227. [Google Scholar] [CrossRef]
- Huang, M.; Mohamad Saleh, M.S.; Zolkepli, I.A. The moderating effect of environmental gamification on the relationship between social media marketing and consumer-brand engagement: A case study of Ant Forest Gen Z users. Heliyon 2024, 10, e25948. [Google Scholar] [CrossRef] [PubMed]
- Wang, X.; Yao, X. Fueling Pro-Environmental Behaviors with Gamification Design: Identifying Key Elements in Ant Forest with the Kano Model. Sustainability 2020, 12, 2213. [Google Scholar] [CrossRef]
- Sun, Y.; Xing, J. The Impact of Gamification Motivation on Green Consumption Behavior—An Empirical Study Based on Ant Forest. Sustainability 2022, 15, 512. [Google Scholar] [CrossRef]
- Cheng, S.; Cao, C. Investigating the effects of gamification affordances on users’ green intrinsic motivation: A cognitive evaluation perspective. Ind. Manag. Data Syst. 2024, 124, 1437–1462. [Google Scholar] [CrossRef]
- Huang, M.; Saleh, M.S.; Zolkepli, I.A. The Moderating Effect of Green Advertising on the Relationship between Gamification and Sustainable Consumption Behavior: A Case Study of the Ant Forest Social Media App. Sustainability 2023, 15, 2883. [Google Scholar] [CrossRef]
- Cao, C.; Cheng, S. Does Competition in Online Games Foster Green Behaviour in Life? The Relationship Between Gamification Affordances and Engagement in Green Behaviours. Int. J. Hum.-Comput. Int. 2024, 1–18. [Google Scholar] [CrossRef]
- Yang, Z.; Kong, X.; Sun, J.; Zhang, Y. Switching to Green Lifestyles: Behavior Change of Ant Forest Users. Int. J. Environ. Res. Public Health 2018, 15, 1819. [Google Scholar] [CrossRef]
- Lin, R.-R.; Lee, J.-C. How the UTAUT motivates consumers’ continuous use of green FinTech: The moderation effect of consumer social responsibility and long-term orientation. Aslib J. Inform. Manag. 2024. [Google Scholar] [CrossRef]
- Mi, L.; Xu, T.; Sun, Y.; Zhao, J.; Lv, T.; Gan, X.; Shang, K.; Qiao, L. Playing Ant Forest to promote online green behavior: A new perspective on uses and gratifications. J. Environ. Manag. 2021, 278, 111544. [Google Scholar] [CrossRef] [PubMed]
- Obuobi, B.; Tang, D.; Awuah, F.; Nketiah, E.; Adu-Gyamfi, G. Utilizing Ant Forest technology to foster sustainable behaviors: A novel approach towards environmental conservation. J. Environ. Manag. 2024, 359, 121038. [Google Scholar] [CrossRef] [PubMed]
- Liu, T.; Wang, P.; Wu, S.; Wu, Y. Achieving a win-win situation by promoting internet recycling of waste electronics and preventing information leakage in a multi-party game. Heliyon 2023, 9, 117765. [Google Scholar] [CrossRef]
- Liang, J.; Eccarius, T.; Lu, C. Investigating re-use intentions for shared bicycles: A loyalty phase perspective. Res. Trans. Bus. Manag. 2022, 43, 100696. [Google Scholar] [CrossRef]
- Wang, B.; Ren, C.; Dong, X.; Zhang, B.; Wang, Z. Determinants shaping willingness towards on-line recycling behaviour: An empirical study of household e-waste recycling in China. Resour. Conserv. Recycl. 2019, 143, 218–225. [Google Scholar] [CrossRef]
- Wang, H.; Han, H.; Liu, T.; Tian, X.; Xu, M.; Wu, Y.; Gu, Y.; Liu, Y.; Zuo, T. “Internet +” recyclable resources: A new recycling mode in China. Resour. Conserv. Recycl. 2018, 134, 44–47. [Google Scholar] [CrossRef]
- Gu, F.; Zhang, W.; Guo, J.; Hall, P. Exploring “Internet + Recycling”: Mass balance and life cycle assessment of a waste management system associated with a mobile application. Sci. Total Environ. 2019, 649, 172–185. [Google Scholar] [CrossRef]
- Lin, W.; Xiu, X. Research on the Influence Mechanism of College Students’ Internet Public Welfare Tree-Planting Behavior. For. Econ. 2022, 44, 77–96. (In Chinese) [Google Scholar] [CrossRef]
- Yang, Y. Why young people are keen on online public welfare games—An analysis of motivation from cognitive perspective. China Youth Study 2021, 10, 70–77+102. (In Chinese) [Google Scholar] [CrossRef]
- Wei, S.; Wang, L.; Jiang, W.; Feng, T. Transforming digital technology stimuli into willingness of green travel: The roles of environmental concerns and online green motivation. Curr. Psychol. 2024, 43, 24497–24517. [Google Scholar] [CrossRef]
- Hu, Y.; Zhang, X.M. Gamification Innovation Strategy of Environmental Communication in the Internet Age—Taking “Ant Forest” as an Example. J. Lover 2018, 2, 74–77. (In Chinese) [Google Scholar] [CrossRef]
- Zhang, K.; Wu, C.; Chen, X.; Li, M. Edutainment: Does public participation in environmental games contribute to regional green development? China Public Adm. Rev. 2022, 4, 7098. (In Chinese) [Google Scholar]
- Zhang, S. How the Internet + Green Public Welfare Model Cultivates a Low-Carbon and Green Lifestyle: Case of Ant Forest. J. Urban Plan. Dev. 2023, 149. [Google Scholar] [CrossRef]
- Zhang, Q.; Anwar, M.A. Leveraging gamification technology to motivate environmentally responsible behavior: An empirical examination of Ant Forest. Decis. Sci. 2023. [Google Scholar] [CrossRef]
- Wang, S.; Ibrahiem, M.H.; Li, M. Motivations Influencing Alipay Users to Participate in the Ant Forest Campaign: An Empirical Study. Int. J. Environ. Res. Public Health 2022, 19, 17034. [Google Scholar] [CrossRef] [PubMed]
- Shao, Z.; Xu, Y. Moving towards carbon neutral lifestyle through FinTech social media platform: A case study of Ant Forest. Front. Environ. Sci. 2023, 11, 1160986. [Google Scholar] [CrossRef]
- Ashfaq, M.; Tandon, A.; Zhang, Q.; Jabeen, F.; Dhir, A. Doing good for society! How purchasing green technology stimulates consumers toward green behavior: A structural equation modeling-artificial neural network approach. Bus. Strategy Environ. 2023, 32, 1274–1291. [Google Scholar] [CrossRef]
- Chen, B.; Feng, Y.; Sun, J.; Yan, J. Motivation Analysis of Online Green Users: Evidence From Chinese “Ant Forest”. Front. Psychol. 2020, 11, 1335. [Google Scholar] [CrossRef]
- Cheng, A.; Cheng, X. What is the motivation of tourists to visit a destination developed with tourists’ participation? A case study of Ant Forest. Curr. Issues Tour. 2024, 1–6. [Google Scholar] [CrossRef]
- Loizeaux, E.R. Trees made out of fintech: Valuing carbon and accumulating capital in China’s Ant Forest. Geoforum 2023, 147, 103888. [Google Scholar] [CrossRef]
- Shen, X.; Wang, L.; Huang, X.; Yang, S. How China’s internet commonweal platform improves customer participation willingness? An exploratory study of Ant Forest. Chin. Manag. Stud. 2021, 15, 196–221. [Google Scholar] [CrossRef]
- Liu, T.; Zheng, Z.; Wen, Z.; Wu, S.; Liu, Y.; Cao, J.; Weng, Z. Factors influencing residents’ behavior in Internet recycling: From the perspective of the adoption of new technology. Int. J. Environ. Res. Public Health 2022, 19, 6166. [Google Scholar] [CrossRef]
- Zhang, Y.; Chen, J.; Han, Y.; Qian, M.; Guo, X.; Chen, R.; Xu, D.; Chen, Y. The contribution of Fintech to sustainable development in the digital age: Ant forest and land restoration in China. Land Use Policy 2021, 103, 105306. [Google Scholar] [CrossRef]
- Zhao, X.; Bai, Y.; Ding, L. Incentives for personal carbon account: An evolutionary game analysis on public-private-partnership reconstruction. J. Clean. Prod. 2021, 282, 125358. [Google Scholar] [CrossRef]
- Zhou, F.; Mou, J.; Kim, J. Toward a meaningful experience: An explanation of the drivers of the continued usage of gamified mobile app services. Online Inform. Rev. 2022, 46, 285–303. [Google Scholar] [CrossRef]
- Du, S.; Xu, J.; Zhang, D.; Yang, X. How Gamification Drives E-commerce Users’ Green Consumption Behaviors: A Netnography Study of Ant-Forest. Nankai Bus. Rev. 2022, 25, 191–204. (In Chinese) [Google Scholar]
- Fan, S.; Du, P.; Tian, Z.; Cheng, S. Research on the influence of virtual co-creation behavior under the background of “Internet plus Public Welfare”. Macroeconomics 2017, 7, 166–183. (In Chinese) [Google Scholar] [CrossRef]
- Mao, Q.; Gu, Y.; Zhang, J. Digital Experience Environment, Customer-Enterprise Social Value Co-creation and Customer Engagement. J. Guangdong Univ. Financ. Econ. 2021, 36, 61–74. (In Chinese) [Google Scholar]
- Mou, Y.; Cao, Y.; Zhang, H. The influence of gamification design of platform enterprises on users’ continuous usage behavior. Chin. J. Manag. 2023, 20, 1827–1836. (In Chinese) [Google Scholar]
- She, S.; Li, S.; Chen, J. Spillover Effect of Digital Green Behavior: Mediation of Identity and Moderation of Psychological Ownership. Adv. Psychol. Sci. 2023, 46, 1180–1187. (In Chinese) [Google Scholar] [CrossRef]
- She, S.; Li, S.; Hou, Z.; Wang, J.; Liao, X. Promotion Strategies and Mechanisms of Digital Green Behavior Spillover: Based on the Ant Forest Context. Foreign Econ. Manag. 2023, 1–15. (In Chinese) [Google Scholar] [CrossRef]
- Wang, S.; Shen, J. Discussion on “Ant Garden” Model from the Perspective of “Carbon Finance” and Garden Integration: Taking Ant Forest as an Example. Constr. Econ. 2021, 42, 419–421. (In Chinese) [Google Scholar] [CrossRef]
- Zhang, J.; Tang, B. Impact of gamification on consumers’ participation intention in VCSR co-creation. China Soft Sci. 2022, 9, 120–129. (In Chinese) [Google Scholar] [CrossRef]
- Zhang, L.; Wang, H. The Legal Structure of Ecological Product Value Realization in the Era of Digital Economy—Taking “Ant Forest” as an Example. Nanjing J. Soc. Sci. 2023, 7, 66–77. (In Chinese) [Google Scholar] [CrossRef]
- Zhou, Z.; Lv, Z.; Zheng, L. The Impact of Interactivity of Gamified-application on the Continued Use Intention of Mobile APP —Perceived Consistency as a Moderating Effect. Collect. Essays Financ. Econ. 2019, 35, 96–104. (In Chinese) [Google Scholar] [CrossRef]
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Zhang, W.; Yang, J.; Zhang, Z. From Virtual Trees to Real Forests: Public Participation in Virtual Forest Realization Projects in China. Forests 2024, 15, 1741. https://doi.org/10.3390/f15101741
Zhang W, Yang J, Zhang Z. From Virtual Trees to Real Forests: Public Participation in Virtual Forest Realization Projects in China. Forests. 2024; 15(10):1741. https://doi.org/10.3390/f15101741
Chicago/Turabian StyleZhang, Wenrui, Jiameng Yang, and Zhiguang Zhang. 2024. "From Virtual Trees to Real Forests: Public Participation in Virtual Forest Realization Projects in China" Forests 15, no. 10: 1741. https://doi.org/10.3390/f15101741
APA StyleZhang, W., Yang, J., & Zhang, Z. (2024). From Virtual Trees to Real Forests: Public Participation in Virtual Forest Realization Projects in China. Forests, 15(10), 1741. https://doi.org/10.3390/f15101741