Factors Affecting Community's Intention to Grow Bamboo as Bioenergy Crop in Khun Tat Wai Subdistrict, Chana District, Songkhla Province
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Abstract
The objective of this research was to examine factors influencing community intention to cultivate bamboo as a bioenergy crop by utilizing an extended framework of the Theory of Planned Behavior (TPB), incorporating Perceived Organizational Support as an additional variable. Data were collected via questionnaires from 322 residents (representing 322 households) in Khun Tat Wai Subdistrict, Chana District, Songkhla Province. Using convenience sampling, paper-based questionnaires were distributed across all nine villages. Data was analyzed using descriptive statistics, One-way ANOVA, and Multiple Regression Analysis. The results revealed that Perceived Behavioral Control was the strongest significant predictor of intention (β = 0.474, p < .001), followed by Subjective Norm (β = 0.216, p < .001). Conversely, Perceived Organizational Support had a significant negative effect on intention (β = -0.118, p = .019), while Attitude showed no significant effect. Collectively, the independent variables accounted for 40.20% of the variance in intention. Furthermore, findings indicated a relationship between educational level, Perceived Organizational Support, and intention; specifically, the group with lower secondary education or below reported the highest level of Perceived Organizational Support but the lowest intention to cultivate. The study suggests that policy implementation for bamboo as an energy crop should prioritize enhancing ease of management and leveraging community leaders as communication channels. Providing clear instructions and practical tools to simplify the cultivation process could help ensure that educational levels are no longer a barrier and could potentially shift the impact of Perceived Organizational Support in a positive direction.
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เนื้อหาและข้อมูลในบทความที่ลงตีพิมพ์ในวารสารบริหารธุรกิจและสังคมศาสตร์ มหาวิทยาลัยรามคำแหง ถือเป็นข้อคิดเห็นและความรับผิดชอบของผู้เขียนบทความโดยตรง ซึ่งกองบรรณาธิการไม่จำเป็นต้องเห็นด้วย หรือร่วมรับผิดชอบใดๆ
บทความ ข้อมูล เนื้อหา รูปภาพ ฯลฯ ที่ได้รับการตีพิมพ์ในวารสารบริหารธุรกิจและสังคมศาสตร์ มหาวิทยาลัยรามคำแหง ถือเป็นลิขสิทธิ์ของวารสารบริหารธุรกิจและสังคมศาสตร์ มหาวิทยาลัยรามคำแหง หากบุคคลหรือหน่วยงานใดต้องการนำบทความทั้งหมดหรือส่วนหนึ่งส่วนใดไปเผยแพร่ต่อ หรือเพื่อกระทำการใดๆ จะต้องได้รับอนุญาตเป็นลายลักษณ์อักษรจากวารสารบริหารธุรกิจและสังคมศาสตร์ มหาวิทยาลัยรามคำแหง ก่อนเท่านั้น
References
นพดล สุทธินนท์. (2561). โอกาสทางการตลาดและปัจจัยแห่งความสำเร็จของธุรกิจผลิตไฟฟ้าจากพลังงาน
ชีวมวล. วารสารวิชาการมหาวิทยาลัยธนบุรี, 12(28), 260–272.
รัญญพิสิษฐ์ พวงจิก. (2557). ไผ่: พืชพลังงานแห่งอนาคต?. วารสารวิทยาศาสตร์และเทคโนโลยี, 22(1),
–136.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision
Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior. In D. Albarracín, B. T.
Johnson, & M. P. Zanna (Eds.), The handbook of attitudes (pp. 173–221). Lawrence
Erlbaum Associates Publishers.
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2),
–147. https://doi.org/10.1037/0003-066X.37.2.122
Belsley, D. A. (1991). Conditioning Diagnostics: Collinearity and Weak Data in Regression. John
Wiley & Sons.
Chen, X. X., & Slade, E. (2025). Theory of planned behaviour: A review. In S. Papagiannidis
(Ed.), TheoryHub Book. OpenNCL. https://open.ncl.ac.uk/theories/18/theory-of-planned-behaviour/
Cherry, K. (2024, May 5). The components of attitude. Verywell Mind.
https://www.verywellmind.com/attitudes-how-they-form-change-shape-behavior-2795897
Green, S. B. (1991). How many subjects does it take to do a regression analysis? Multivariate
Behavioral Research, 26(3), 499–510. https://doi.org/10.1207/s15327906mbr2603_7
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate data analysis
(8th ed.). Cengage Learning EMEA.
Hou, J., & Hou, B. (2019). Farmers’ adoption of low-carbon agriculture in China: An extended
theory of the planned behavior model. Sustainability, 11(5), 1500. https://doi.org/10.3390/su11051500
Huang, Y., Hou, Y., Ren, J., Yang, J., & Wen, Y. (2024). How to promote sustainable bamboo
forest management: An empirical study from small-scale farmers in China. Forests, 15(1),
https://doi.org/10.3390/f15010012
Li, X., Dai, J., Zhu, X., Liu, J., He, J., Huang, Y., Liu, X., & Shen, Q. (2023). Mechanism of
attitude, subjective norms, and perceived behavioral control influence the green development behavior of construction enterprises. Humanities & Social Sciences Communications, 10(1), 1–16.
Marafon, A. C., Amaral, A. F. C., & Lemos, E. E. P. (2019). Characterization of bamboo species
and other biomasses with potential for thermal energy generation. Pesquisa
Agropecuária Tropical, 49, e55282. https://doi.org/10.1590/1983-40632019v4955282
Pahuriray, A. V. & Algara, R. O. (2021). Mobile-based PhilNITS reviewer design: Its functionality,
reliability, usability and efficiency. International Research Journal of Science, Technology,
Education, and Management, 1(2), 184-196. https://doi.org/10.5281/zenodo.5726596
Puiu, S., Yilmaz, S. E., Udrioiu, M. T., Raganova, J., Raykova, Z., Yildizhan, H., & Ameen, A.
(2023). The expanded theory of planned behavior for energy saving among academics
in Romania, Bulgaria, Turkey, and Slovakia. Scientific Reports, 13, 21350. https://doi.org/10.1038/s41598-023-48866-9
Savari, M., Damaneh, H. E., Damaneh, H. E., & Cotton, M. (2023). Integrating the norm activation
model and theory of planned behaviour to investigate farmer pro-environmental
behavioral intention. Scientific Reports, 13(1), 1–14. https://doi.org/10.1038/s41598-023-32342-w
Waiswa, D., Muriithi, B. W., Murage, A. W., Ireri, D. M., Maina, F., Chidawanyika, F., & Yavuz, F.
(2025). The role of social-psychological factors in the adoption of push-pull technology
by small-scale farmers in East Africa: Application of the theory of planned behavior.
Heliyon, 11(1), e14149. https://doi.org/10.1016/j.heliyon.2024.e14149
Watson Todd, R. (2018). Analyzing and interpreting rating scale data from questionnaires.
rEFLections, 25(1), 69-77.