Hikers’ pro-environmental behavior in national park: Integrating theory of planned behavior and norm activation theory

Sun, Huazhen; Zhang, Qing; Guo, Weifeng; Lin, Kaimiao

doi:10.3389/ffgc.2022.1068960

Cited by 11 publications

(9 citation statements)

References 131 publications

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“…Consistent with previous research ( Lam, 1999 ; Butt et al, 2021 ), our study found that attitudes, SNs, and PBC significantly influenced participants’ intentions to participate in riparian PUFs management, thus hypotheses H1, H2, H3, H4 and H5 are supported. Studies also showed that these constructs can affect pro-environmental behavior of mountaineers ( Sun et al, 2022 ; Wang and Wang, 2022 ; Mohammadi et al, 2024 ). Research also showed that these factors can result in pro-environmental behavior among visitors of urban forests ( López-Mosquera et al, 2014 ; Huang et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

“…Understanding the link between intention and behavior is essential for effective planning and implementation of participatory approaches in urban forest management. Mountaineers shape a specific group which have showed high pro-environmental behaviors to protect natural resources (Zarei et al, 2021;Sun et al, 2022). Urban and PUFs have been experienced high recreational demand during and after covid-19 pandemic (Samuelsson et al, 2020;Venter et al, 2021;Derks et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Participatory intention and behavior towards riparian peri-urban forests management; an extended theory of planned behavior application

Maleknia,

ChamCham

2024

Front. Psychol.

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IntroductionPeri-urban forests paly crucial role in quality of life and environment for citizens. To effectively utilize the services provided by these forests, it is essential to establish an integrated forest management system that aims to achieve a balance of all ecosystem services. This can be accomplished through a participatory approach that involves key citizen stakeholders. Mountaineers shape a specific group which have showed high pro-environmental behaviors to protect natural resources. This research aimed to examine the influencing factors on mountaineers’ intention to participate and their actual behavior in the management of riparian peri-urban forests in this field using extended theory of planned behavior.MethodsEnvironmental values and perceived barriers were added to original model as additional components to enhance its explanatory power. A sample size of 416 individuals was surveyed using a questionnaire. Data was analyzed using Smart-PLS.ResultsThe findings of the analysis revealed that the developed model accounted for 75.2% of the variance in mountaineers’ intention and 67.8% of behavior. The results demonstrated that three main components of model including attitudes, subjective norms and perceived behavioral control significantly influenced individuals’ intentions to participate in peri-urban forests management. Furthermore, intentions were cleared to have a positive influence on actual behavior in this context. Additionally, environmental values were found to be positively correlated with individuals’ intentions but not statistically significant behavior toward participate in urban forest management. Perceived barriers were found to have a negative impact on individuals’ intentions toward participate in urban forest management. The perceived barriers and behavior had not statistically significant relationship.ConclusionThe results of study provide valuable insights for the development of effective management strategies to promote mountaineers’ participation in riparian PUFs management. The study emphasizes the importance of environmental education and awareness campaigns targeted at mountaineers.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Participatory intention and behavior towards riparian peri-urban forests management; an extended theory of planned behavior application

Maleknia,

ChamCham

2024

Front. Psychol.

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“…The theory of planned behavior (TPB) is one of the most commonly used and influential models for studying individual behavior (Yuriev et al, 2020). To date, the TPB has been broadly used in various fields of human life, including health (Broers et al, 2020;Rajeh, 2022), environmental protection (Arya and Chaturvedi, 2020;Sun et al, 2022), tourist behavior (Japutra et al, 2019;Ulker-Demirel and Ciftci, 2020), organizational citizenship behavior Tsai et al, 2022), electronic shopping (Tang et al, 2021;Theodorou et al, 2023), and transportation (Chen, 2022;Ni et al, 2022). In terms of education, it is mainly used in innovation and entrepreneurship intention research.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Factors that influence the intent to pursue a master’s degree: evidence from Shandong Province, China

Zhou,

Liu,

Xue

et al. 2024

Front. Psychol.

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IntroductionIn recent years, the pursuit of a master’s degree has become a social phenomenon of wide concern. It is essential to understand why large number of students choose to pursue master’s degree. This study aims to empirically analyze the factors that influence the intent to pursue a master’s degree.MethodBased on the extended theory of planned behavior, this study conducts a questionnaire survey of university students in Shandong Province, which has had the highest number of people taking the postgraduate entrance examination in China for several years. A total of 440 questionnaires were finally collected, including 417 valid questionnaires. And then ordinary least squares (OLS) regression was used to analyze the factors that influence the intent to pursue a master’s degree.ResultsIn general, the intent to pursue a master’s degree is positively influenced by attitude (β = 0.161, p < 0.01) and subjective norms (β = 0.208, p < 0.01), and negatively influenced by risk perception (β = −0.084, p < 0.05). Compared with male students, female students’ intent is more likely to be influenced by risk perception (β = −0.144, p < 0.05) and social factors (β = 0.140, p < 0.05). The intent of upperclass students tends to be positively influenced by perceived behavioral control (β = 0.125, p < 0.05), whereas the negative impact of risk perception (β = −0.219, p < 0.05) on the intent is significant for underclass students. The intent of students in rural areas are more sensitive to risk perception (β = −0.194, p < 0.01) than those of students in cities. In private universities, social factors (β = 0.445, p < 0.05) significantly affect the intent to pursue a master’s degree. In ordinary public universities, the intent of students is more likely to be influenced by risk perception (β = −0.082, p < 0.05).ConclusionThe study is helpful to strengthen the understanding of the influencing factors of the intent to pursue a master’s degree. In general, the intent to pursue a master’s degree is mainly influenced by attitude, subjective norms and risk perception. Moreover, the influencing factors vary among different groups (e.g., female vs. male, rural areas vs. cities). Furthermore, attitude, subjective norms, perceived behavioral control, risk perception, and social factors have greater impacts on the intent of students from low-income households than those from high-income households. This study can provide policy implications for universities to take targeted educational measures to encourage students to make a choice that suits their own development after graduation.

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“…Their integration provides a deeper understanding of, and can better predict and explain, individual environmental behavior 20 . Pro-environmental behavior has always been a hot topic in the eld of psychology [31][32][33] . It emphasizes the positive attitudes and behavioral intentions of the subject in the process of solving environmental problems by satisfying both self-interest and altruistic behavior 34 , and is in uenced by both environmental objectivity and individual subjective initiative 25 .…”

Section: The Integrated Framework Of the Tpb And Nammentioning

confidence: 99%

Using the PLS-SEM model to study the factors that affect the willingness of college students to pay for carbon offsets based on a TPB and NAM approach

Xi²,

Zhang

et al. 2023

Preprint

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Human influence is very likely the main driver of global climate change according to IPCC AR6 report. Carbon offsets is a new ecological compensation mechanism created against the back-ground of global warming. As college students are an important group in society, the mecha-nism of their willingness to pay for carbon offsets (WTP) is worthy of study. In this study, an in-tegrated theoretical model TPB-NAM is constructed from the perspectives of personal subjective cognition based on the theory of planned behavior (TPB) and the normative activation model (NAM). It also adds two variables, carbon offset cognition (COC) and climate change hazard perception (CCHP). The partial least-squares structural equation model (PLS-SEM) was used to study the factors that affect the WTP of college students. The results show that COC, behavioral attitudes (BAs), subjective norms (SNs), perceived behavioral control (PBC), and personal norms (PNs) have significant positive impacts on college students' WTP. Among them, BAs have the greatest impact on WTP. PNs respectively plays an intermediary role in the four path of AC and SNs affecting BAs, as well as AC and SNs affect WTP. BAs also play a mediating effect in the influence of PNs affect WTP, which is the most obvious.

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Hikers’ pro-environmental behavior in national park: Integrating theory of planned behavior and norm activation theory

Cited by 11 publications

References 131 publications

Participatory intention and behavior towards riparian peri-urban forests management; an extended theory of planned behavior application

Participatory intention and behavior towards riparian peri-urban forests management; an extended theory of planned behavior application

Factors that influence the intent to pursue a master’s degree: evidence from Shandong Province, China

Using the PLS-SEM model to study the factors that affect the willingness of college students to pay for carbon offsets based on a TPB and NAM approach

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