Regional Sustainability ›› 2025, Vol. 6 ›› Issue (1): 100195.doi: 10.1016/j.regsus.2025.100195cstr: 32279.14.REGSUS.2025003
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Osama AHMEDa,b,*(), Mourad FAIZc, Laamari ABDELALId, Safwa KHOALIe, Cataldo PULVENTf, Sameh MOHAMEDb, Mame Samba MBAYEg, Thomas GLAUBENa
Received:
2024-10-01
Accepted:
2025-01-23
Published:
2025-02-28
Online:
2025-03-13
Contact:
* E-mail address: Osama AHMED, Mourad FAIZ, Laamari ABDELALI, Safwa KHOALI, Cataldo PULVENT, Sameh MOHAMED, Mame Samba MBAYE, Thomas GLAUBEN. Unlocking climate change resilience: Socioeconomic factors shaping smallholder farmers’ perceptions and adaptation strategies in Mediterranean and Sub-Saharan Africa regions[J]. Regional Sustainability, 2025, 6(1): 100195.
Table 1
Characteristics of respondents in four countries."
Category | Sub-category | Percentage of respondents (%) | |||
---|---|---|---|---|---|
Morocco | Egypt | Italy | Senegal | ||
Educational level | Pimary education | 29.33 | 3.50 | 6.70 | 14.65 |
Secondary education | 19.27 | 35.70 | 21.70 | 13.96 | |
University education | 0.55 | 42.60 | 35.00 | 3.15 | |
Socioeconomic satus | On-farm demonstration | 36.00 | 6.10 | 23.30 | 1.00 |
Sufficient agricultural income | 16.00 | 37.40 | 75.00 | 27.80 | |
Participation in agricultural workshops and training in GAPs | 63.30 | 17.40 | 53.30 | 2.80 | |
Food insecurity | 64.40 | 75.20 | 0.00 | 45.40 | |
Implementing climate-smart agricultural practices | 46.20 | 47.80 | 36.70 | 12.00 | |
Crop insurance | 78.40 | 1.00 | 33.30 | 0.00 | |
Perceptions of climate change | Facing climate change challenges | 100.00 | 81.00 | 71.00 | 90.00 |
Change in temperature | 100.00 | 100.00 | 96.70 | 74.10 | |
Increase in temperature | 100.00 | 40.90 | 96.70 | 31.50 | |
Adopting drought-tolerant crops | 33.30 | 41.70 | 43.30 | 4.60 |
Table 2
History iterations of estimating the first step of the binary logistic regression (BLR) model in four countries."
Iteration | Morocco | Egypt | Italy | Senegal | |||||
---|---|---|---|---|---|---|---|---|---|
-2LL | Coefficient | -2LL | Coefficient | -2LL | Coefficient | -2LL | Coefficient | ||
Step 0 | 1 | 81.020 | 0.680*** | 159.210 | 0.090 | 81.500 | 0.330 | 149.570 | 0.074 |
2 | 81.000 | 0.720*** | 159.210 | 0.090 | 81.500 | 0.340 | 149.570 | 0.074 | |
3 | 81.000 | 0.720*** | - | - | 81.500 | 0.340 | - | - |
Table 3
Classification for predicting the probability of smallholder farmers adopting drought-tolerant crops in four countries."
Answer | Morocco | Egypt | Italy | Senegal | |||||
---|---|---|---|---|---|---|---|---|---|
Number of people | Correct value (%) | Number of people | Correct value (%) | Number of people | Correct value (%) | Number of people | Correct value (%) | ||
Are you adopting drought-tolerant crops? | No | 0 | 0.00 | 50 | 0.00 | 25 | 0.00 | 52 | 0.00 |
Yes | 43 | 100.00 | 60 | 100.00 | 35 | 100.00 | 56 | 100.00 | |
Overall correct classification rate (%) | 61.42 | 54.54 | 58.33 | 81.85 |
Table 4
Results of the BLR model for independent variables in four countries."
Independent variable | Morocco | Egypt | Italy | Senegal | |||||
---|---|---|---|---|---|---|---|---|---|
Score | Significance | Score | Significance | Score | Significance | Score | Significance | ||
Educational level | 10.200*** | 0.001 | 47.050*** | 0.000 | 10.620*** | 0.001 | 1.850 | 0.173 | |
Farming experience | 8.600*** | 0.003 | 40.370*** | 0.000 | 3.730* | 0.054 | 7.470*** | 0.006 | |
Agricultural income | 10.810*** | 0.001 | 25.090*** | 0.000 | 9.970*** | 0.002 | 10.250*** | 0.001 | |
Farm size | 11.020*** | 0.001 | 37.940*** | 0.000 | 8.190*** | 0.004 | 12.020*** | 0.001 | |
Participation in agricultural workshops | 2.380 | 0.123 | 26.040*** | 0.000 | 10.290*** | 0.001 | 0.424 | 0.515 | |
Training in GAPs | 13.670*** | 0.000 | 16.430*** | 0.000 | |||||
Constant | Coefficient | 0.720*** | 0.090* | −0.340* | 0.070* | ||||
Wald test | 7.250 | 0.220 | 0.650 | 0.150 |
Table 5
Relationship between dependent variable and independent variables by the BLR model in four countries."
Independent variable | Morocco | Egypt | Italy | Senegal | |||||
---|---|---|---|---|---|---|---|---|---|
Coefficient | Significance | Coefficient | Significance | Coefficient | Significance | Coefficient | Significance | ||
Educational level | 4.769*** | 0.008 | 1.546** | 0.033 | 1.567** | 0.037 | 1.137** | 0.028 | |
Farming experience | 3.030** | 0.026 | 2.152** | 0.031 | 1.971** | 0.029 | 1.035** | 0.027 | |
Agricultural income | 2.462** | 0.047 | 1.360** | 0.040 | 1.901** | 0.028 | 1.520*** | 0.005 | |
Farm size | 3.109** | 0.019 | 1.350** | 0.039 | 1.782** | 0.027 | 1.384*** | 0.003 | |
Participation in agricultural workshops | 2.695** | 0.041 | 2.067** | 0.043 | 1.608 | 0.460 | - | - | |
Training in GAPs | 2.467** | 0.046 | 1.859 | 0.500 | |||||
Constant | -5.469*** | 0.001 | -4.266*** | 0.000 | -5.408*** | 0.000 | -1.859*** | 0.000 | |
Nagelkerke’s R2 (%) | 81.20 | 71.10 | 56.40 | 32.70 | |||||
Pseudo-R2 (%) | 69.00 | 55.00 | 40.00 | 20.00 |
Table S1
Results of estimating the second step of the binary logistic regression (BLR) model."
Step | Morocco | Egypt | Italy | Senegal | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
-2LL | Cox and Snell’s R2 (%) | Nagelkerke’s R2 (%) | -2LL | Cox and Snell’s R2 (%) | Nagelkerke’s R2 (%) | -2LL | Cox and Snell’s R2 (%) | Nagelkerke’s R2 (%) | -2LL | Cox and Snell’s R 2 (%) | Nagelkerke’s R2 (%) | |
1 | 65.525a | 21.50 | 29.90 | 107.878a | 36.00 | 48.00 | 48.957a | 41.90 | 56.40 | 137.320a | 10.70 | 14.30 |
2 | 51.452b | 37.00 | 51.50 | 96.065a | 42.30 | 56.40 | - | - | - | 128.232b | 17.90 | 23.90 |
3 | 42.302b | 45.40 | 63.20 | 86.973a | 46.60 | 62.20 | - | - | - | 124.249b | 20.90 | 27.90 |
4 | 35.785c | 50.70 | 70.60 | 81.027b | 49.30 | 65.80 | - | - | - | 119.196c | 24.50 | 32.70 |
5 | 30.715c | 54.40 | 75.80 | 76.940b | 51.10 | 68.20 | - | - | - | - | - | - |
6 | 25.005c | 58.30 | 81.20 | 71.666c | 53.30 | 71.10 | - | - | - | - | - | - |
Table S2
Composite tests of the BLR model’s coefficients."
Step | Morocco | Egypt | Italy | Senegal | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
χ2 | df | Significance | χ2 | df | Significance | χ2 | df | Significance | χ2 | df | Significance | ||
1 | Step | 15.479 | 1 | 0.000 | 51.328 | 1 | 0.000 | 32.547 | 5 | 0.000 | 12.251 | 1 | 0.000 |
Block | 15.479 | 1 | 0.000 | 51.328 | 1 | 0.000 | 32.547 | 5 | 0.000 | 12.251 | 1 | 0.000 | |
Model | 15.479 | 1 | 0.000 | 51.328 | 1 | 0.000 | 32.547 | 5 | 0.000 | 12.251 | 1 | 0.000 | |
2 | Step | 14.073 | 1 | 0.000 | 11.813 | 1 | 0.001 | - | - | - | 9.088 | 1 | 0.003 |
Block | 29.552 | 2 | 0.000 | 63.141 | 2 | 0.000 | - | - | - | 21.340 | 2 | 0.000 | |
Model | 29.552 | 2 | 0.000 | 63.141 | 2 | 0.000 | - | - | - | 21.340 | 2 | 0.000 | |
3 | Step | 9.150 | 1 | 0.002 | 9.092 | 1 | 0.003 | - | - | - | 3.983 | 1 | 0.046 |
Block | 38.701 | 3 | 0.000 | 72.233 | 3 | 0.000 | - | - | - | 25.323 | 3 | 0.000 | |
Model | 38.701 | 3 | 0.000 | 72.233 | 3 | 0.000 | - | - | - | 25.323 | 3 | 0.000 | |
4 | Step | 6.517 | 1 | 0.011 | 5.946 | 1 | 0.015 | - | - | - | 5.053 | 1 | 0.025 |
Block | 45.219 | 4 | 0.000 | 78.180 | 4 | 0.000 | - | - | - | 30.376 | 4 | 0.000 | |
Model | 45.219 | 4 | 0.000 | 78.180 | 4 | 0.000 | - | - | - | 30.376 | 4 | 0.000 | |
5 | Step | 5.070 | 1 | 0.024 | 4.086 | 1 | 0.043 | - | - | - | - | - | - |
Block | 50.289 | 5 | 0.000 | 82.266 | 5 | 0.000 | - | - | - | - | - | - | |
Model | 50.289 | 5 | 0.000 | 82.266 | 5 | 0.000 | - | - | - | - | - | - | |
6 | Step | 5.710 | 1 | 0.017 | 5.275 | 1 | 0.022 | - | - | - | - | - | - |
Block | 55.999 | 6 | 0.000 | 87.541 | 6 | 0.000 | - | - | - | - | - | - | |
Model | 55.999 | 6 | 0.000 | 87.541 | 6 | 0.000 | - | - | - | - | - | - |
Table S3
Hosmer and Lemeshow test results."
Step | Morocco | Egypt | Italy | Senegal | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
χ2 | df | Significance | χ2 | df | Significance | χ2 | df | Significance | χ2 | df | Significance | |
1 | 0.000 | 0 | 0.000 | 0.000 | 0 | 0.000 | 5.233 | 8 | 0.732 | 0.000 | 0 | 0.000 |
2 | 0.050 | 2 | 0.975 | 0.000 | 2 | 1.000 | - | - | - | 0.324 | 2 | 0.850 |
3 | 1.026 | 6 | 0.985 | 4.487 | 5 | 0.482 | - | - | - | 1.975 | 5 | 0.853 |
4 | 19.254 | 7 | 0.007 | 1.247 | 4 | 0.870 | - | - | - | 8.749 | 7 | 0.271 |
5 | 5.144 | 8 | 0.742 | 5.017 | 6 | 0.542 | - | - | - | - | - | - |
6 | 7.779 | 8 | 0.455 | 2.865 | 6 | 0.826 | - | - | - | - | - | - |
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