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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


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Variablesa, operational definitions, measurements and response categories

S/no. Variable Operational definition Measurement Response categories and scoring
1 Attitude towards converting forest land for agriculture Respondents' evaluation of the degree to which forest conversion is considered as advantageous A 5-item author-developed scale Strongly Agree (4), Agree (3), Disagree (2) and Strongly Disagree (1)
2 Subjective norm of converting forest land for agriculture Respondents' evaluation of the acceptability of forest conversion within their (respondents') social network A 4-item author-developed scale Totally true (3), fairly true (2) and not true at all (1)
3 Perceived control of decision to convert forest land for agriculture Respondents' evaluation of their own independent power to decide to convert forest A 3-item author-developed scale Totally true (3), fairly true (2) and not true at all (1)
4 Intention to convert forest land for agriculture Respondents' resolve to convert forest A 3-item author-developed scale Totally true (3), fairly true (2) and not true at all (1)
5 Forest conversion behaviour The extent to which respondents had ever engaged in clearing out of vegetation of a forest for agricultural purposeb A 5-item author-developed index Yes (1), no (0)

Item statistics and indicators of reliability of author-developed scales

Items of the author-developed scales Mean ± SD Minimum Maximum Cronbach's alpha
Attitude towards converting forest land for agriculture
Converting forest land for agriculture is a good activity 3.54 ± 0.63 1 4 0.836
Converting forest land for agricultural use is a positive development 3.36 ± 0.63 1 4
More forest land should be converted for agricultural use to promote food availability 3.46 ± 0.71 1 4
Converting forest land for agricultural use is a very useful activity 3.48 ± 0.73 1 4
Converting forest land for agricultural use is a responsible option 3.11 ± 0.87 1 4
Subjective norm of converting forest land for agriculture
My partner (e.g. husband/wife/cohabitor) perceives the idea of converting forest land for agricultural use as good 2.69 ± 0.55 1 3 0.767
It is acceptable to my neighbour(s) to convert forest land for agricultural use 2.39 ± 0.62 1 3
My fellow farmers see the conversion of forest land for agricultural use as a good activity 2.48 ± 0.68 1 3
In the community where I live, converting forest land for agricultural use is acceptable to them 2.36 ± 0.70 1 3
Perceived control of decision to convert forest land for agriculture
The decision to convert forest land for agricultural use is completely up to me 2.52 ± 0.60 1 3 0.790
I have complete control in deciding whether or not to convert forest land for agricultural use 2.30 ± 0.61 1 3
If I want to, I could convert forest land for agricultural use 2.22 ± 0.76 1 3
Intention to convert forest land for agriculture
I will always clear forest land to expand the scope of my farming activities as long as I have the opportunity 2.75 ± 0.53 1 3 0.632
I have no reason not to clear forest land for agricultural purpose 2.42 ± 0.56 1 3
I am likely to clear forest land for agriculture soon 2.37 ± 0.72 1 3

Result of linear regression analysis showing prediction of forest land conversion behaviour by intention to convert forest land for agriculture

Model summary Change statistics
multiple R R2 adjusted R2 predictors R2 change standardised β F statistic p value (F change) zero-order correlation p value (zero-order correlation)
0.222 0.049 0.046 intention to convert forest land for agriculture 0.049 0.222 14.50 0.000 0.222 0.000

Distribution of respondents' gender, age and education (N = 320)

Socio-demographic characteristic Subgroups Frequency Percentage
Gender male 198 61.9
female 122 38.1
Age* 16–30 13 4.1
31–45 50 15.6
46–60 131 40.9
61–75 95 29.7
76 and above 31 9.7
Highest educational qualification no formal education 47 14.7
primary education 72 22.5
secondary education 51 15.9
post-secondary education 98 30.6
B.Sc./HND 29 9.1
postgraduate 16 5.0
no response 7 2.2

Distribution of responses to items in the index of forest conversion behaviour

Items* Yes No No response
frequency (%)
Have you ever cleared forest in order to use it for agricultural purpose? 281 (87.8) 38 (11.9) 1 (0.3)
Did you convert any forest to have the plot you currently cultivate? 189 (59.1) 129 (40.3) 2 (0.6)
Will you consider yourself a good converter of forest for agricultural purpose? 228 (71.3) 85 (26.6) 7 (2.2)
Have you ever advocated for the conversion of forest for agriculture as a way of boosting productivity? 124 (38.8) 188 (58.8) 8 (2.5)
Do you seek opportunities to convert forest for agricultural purpose? 224 (70.0) 90 (28.1) 6 (1.9)

Result of stepwise multiple linear regression analysis showing a model of significant predictors of intention to convert forest land for agriculture

Model summary Change statistics
multiple R R2 adjusted R2 predictors R2 change standardised β F statistic p value (F change) zero-order correlation p value (zero-order correlation)
0.572 0.327 0.320 attitude 0.260 0.289 98.55 0.000 0.510 0.000
subjective norm 0.055 0.257 22.28 0.000 0.496 0.000
perceived control 0.012 0.131 5.02 0.026 0.398 0.000

Effects of gender, age and education on forest conversion behaviour

Socio-demographic variable Subgroups Mean ± SD Levene's test for homogeneity of variances Independent samples t test ANOVA Eta Eta2
Levene's statistic p value T statistic p value F statistic p value
Gender male 3.41 ± 1.19 4.623 0.032 1.174 0.247
female 3.25 ± 0.99
Agea,b 16–30 2.38 ± 1.33 0.893 0.469 4.001 0.004 0.226 0.051
31–45 3.39 ± 1.22
46–60 3.52 ± 1.15
61–75 3.32 ± 1.00
76 and above 2.96 ± 1.03
Educationc no formal education 2.87 ± 1.00 4.491 0.001 4.133 0.001
primary education 3.55 ± 1.14
secondary education 3.71 ± 0.94
post-secondary education 3.30 ± 0.11
first degree 3.00 ± 1.65
postgraduate 3.00 ± 1.03
eISSN:
2199-5907
ISSN:
0071-6677
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Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Life Sciences, Plant Science, Medicine, Veterinary Medicine