Understanding forest land conversion for agriculture in a developing country context: An application of the theory of planned behaviour among a cohort of Nigerian farmers

Author:

Ibrahim Fausat Motunrayo1ORCID,Osikabor Benson2,Olatunji Bolanle Tawakalitu3,Ogunwale Grace Oluwatobi1

Affiliation:

1. Forestry Research Institute of Nigeria, Federal College of Forestry, Ibadan, Department of Agricultural Extension and Management , Ibadan , Oyo State , Nigeria

2. Forestry Research Institute of Nigeria, Federal College of Forest Resource Management, Sakpoba, Department of Agricultural Extension and Management , Sakpoba , Edo State , Nigeria

3. Forestry Research Institute of Nigeria, Department of Forest Economics and Extension , Ibadan , Oyo State , Nigeria

Abstract

Abstract Natural and forest-rich ecosystems are determinants of environmental sustainability, which are threatened by forest land conversion for agricultural purposes, especially in less-developed contexts. Moreover, human behaviour is central to achieving the much desired ecologically balanced environment. Hence, a partly novel model informed by the theory of planned behaviour was used in the examination of forest land conversion for agricultural purposes. The study design was a cross-sectional survey targeted at a group of farmers of southwestern Nigeria. Data were collected using a structured questionnaire among 320 randomly selected crop farmers. Independent samples t test and one-way analysis of variance (ANOVA) were used to test the significance of difference in respondents' forest conversion behaviour across subgroups of gender and age/education, respectively. Stepwise multiple linear regression was used to identify the determinants of forest conversion behaviour. Results showed that 87.8% of respondents had ever engaged in forest conversion. Gender and education had no significant effect on forest conversion behaviour (p > 0.05), but age did (p < 0.05). Attitude was the best determinant (β = 0.289, r = 0.510, R 2 = 0.260, p < 0.001), subjective norm was better (β = 0.257, r = 0.496, R 2 = 0.055, p < 0.001), while perceived behavioural control was good (β = 0.131, r = 0.398, p < 0.001, R 2 = 0.012, p < 0.005). The three variables correlated with intention by a degree of 57.2% (multiple R = 0.572), while they explained 32.7% of the variance in intention (R 2 =0.327). Intention was also found to be a significant determinant of behaviour (β = 0.222, r = 0.222, R 2 = 0.049, p < 0.001). Middle age predisposes to, whereas younger and older age protects against greater extent of forest conversion. The partly novel model derived from the theory of planned behaviour proves the likely viability of the pursuit of socio-psychologically predicated interventions to enthrone forest conservation.

Publisher

Walter de Gruyter GmbH

Subject

Ecology,Forestry

Reference64 articles.

1. Adeoye, A.S., Oke, O.O., Eniola, O., Jatto, K.A. 2020. Assessment of gender roles in fish farming activities among rural farmers in Afijio Local Government Area Of Oyo State, Nigeria. Nigeria Agricultural Journal, 51 (2), 406–412.

2. Ajzen, I., Fishbein, M. 1980. Understanding attitudes and predicting social behavior. Prentice-Hall, Englewood Cliffs, NJ.

3. Ajzen, I. 1985. From intentions to actions: A theory of planned behavior. In: Action-control: from cognition to behavior (eds.: J. Kuhl, J. Beckman). Springer, Heidelberg, 11–39.

4. Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Process, 50, 179–211.

5. Allen, S., Marquart-Pyatt, S.T. 2018. Workplace energy conservation at Michigan state University. International Journal of Sustainability in Higher Education, 19 (1), 114–129.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3