Socioeconomic Impacts of the Billion Trees Afforestation Program in Khyber Pakhtunkhwa Province (KPK), Pakistan
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Questionnaire Design, Sample Size, and Data Collection
2.3. Data Analysis
2.3.1. Social Sustainability
2.3.2. Cost-Benefit Analysis (CBA)
2.3.3. Livelihood Perception Analysis
3. Results
3.1. Assessment of the Social Impact of the BTAP
3.2. Economical Assessment
3.3. Empirical Findings from the Local Perceptions
3.3.1. Perceived Impact of the BTAP by Net Income
3.3.2. Perceived Impact of the BTAP by Education Level
3.3.3. Perceived Impact of the BTAP by Sex
4. Discussion and Conclusions
5. Future Directions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A
Income | Which One is More Important? Environment or Economy? | ||
---|---|---|---|
Income | Pearson Correlation | 1 | 0.518 ** |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 | |
Which one is more important? Environment or economy? | Pearson Correlation | 0.518 ** | 1 |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Income | Does Environmental Degradation Affect Your Health? | ||
Income | Pearson Correlation | 1 | 0.501 ** |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 | |
Does environmental degradation affect your health? | Pearson Correlation | 0.501 ** | 1 |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Income | Is the BTAP Worthwhile? | ||
Income | Pearson Correlation | 1 | 0.603 ** |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 | |
Is the BTAP worthwhile? | Pearson Correlation | 0.603 ** | 1 |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Income | Has the BTAP Increased Your Income? | ||
Income | Pearson Correlation | 1 | 0.582 ** |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 | |
Has the BTAP increased your income? | Pearson Correlation | 0.582 ** | 1 |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Income | Has the BTAP Improved Your Livelihood? | ||
Income | Pearson Correlation | 1 | 0.606 ** |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 | |
Has the BTAP improved your livelihood? | Pearson Correlation | 0.606 ** | 1 |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Income | Has the BTAP Achieved Their Goals? | ||
Income | Pearson Correlation | 1 | 0.640 ** |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 | |
Has the BTAP achieved their goals? | Pearson Correlation | 0.640 ** | 1 |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Income | Do You Support the Ban Policy? | ||
Income | Pearson Correlation | 1 | 0.613 ** |
Significant (two-tailed) | 0.000 | ||
N | 406 | 406 | |
Do you support the ban policy? | Pearson Correlation | 0.613 ** | 1 |
Significant (two-tailed) | .000 | ||
N | 406 | 406 |
Appendix B
Illiterate to Master Education | Which One is More Important? Environment or Economy? | ||
---|---|---|---|
Illiterate to Master Education | Pearson Correlation | 1 | 0.382 ** |
Significant (2-tailed) | 0.000 | ||
N | 406 | 406 | |
Which one is more important? Environment or Economy? | Pearson Correlation | 0.382 ** | 1 |
Significant (2-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Illiterate to Master Education | Does Environmental Degradation Affect Your Health? | ||
Illiterate to Master Education | Pearson Correlation | 1 | 0.305 ** |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 | |
Does environmental degradation affect your health? | Pearson Correlation | 0.305 ** | 1 |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Illiterate to Master Education | Is the BTAP Worthwhile? | ||
Illiterate to Master Education | Pearson Correlation | 1 | 0.315 ** |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 | |
Is the BTAP worthwhile? | Pearson Correlation | 0.315 ** | 1 |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Illiterate to Master Education | Has the BTAP Increased Your Income? | ||
Illiterate to Master Education | Pearson Correlation | 1 | 0.337 ** |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 | |
Has the BTAP increased your income? | Pearson Correlation | 0.337 ** | 1 |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Illiterate to Master Education | Has the BTAP Improved Your Livelihood? | ||
Illiterate to Masters education | Pearson Correlation | 1 | 0.351 ** |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 | |
Has the BTAP improved your livelihood? | Pearson Correlation | 0.351 ** | 1 |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Illiterate to Master Education | Has the BTAP Achieved Their Goals? | ||
Illiterate to Masters education | Pearson Correlation | 1 | 0.395 ** |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 | |
Has the BTAP achieved their goals? | Pearson Correlation | 0.395 ** | 1 |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 |
Correlations | |||
---|---|---|---|
Illiterate to Master Education | Do You Support the Ban Policy? | ||
Illiterate to Masters education | Pearson Correlation | 1 | 0.310 ** |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 | |
Do you support the ban policy? | Pearson Correlation | 0.310 ** | 1 |
Significant. (2-tailed) | 0.000 | ||
N | 406 | 406 |
Appendix C
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Phase | Expenditure | Total | |||
---|---|---|---|---|---|
Forest Management | Afforestation | Compensation to Nurseries | Operational Cost | ||
Phase 1 (2014 to 31 December 2015) | 369 | 389.678 | 878.21 | 168.145 | 1805.033 |
Phase 2 (1 January 2016 to 30 June 2017) | 400.937 | 4403.176 | 2293.384 | 146.123 | 7243.62 |
Phase 3 (1 July 2017 to May 2019) | 1097.877 | 3594.649 | 399.879 | 178.782 | 5271.187 |
No. | Targeted District | Forest Sub-Division | Total Area under the BTAP (km2) | Number of Respondents |
---|---|---|---|---|
1 | Shangla | Alpuri | 49 | 58 |
Karora | 50 | 58 | ||
2 | Swat | Kabal | 47 | 57 |
Matta | 49 | 58 | ||
Mingora | 51 | 59 | ||
3 | Lower Dir | Timergrra | 37 | 59 |
Chakdara | 39 | 57 | ||
Total | 406 |
Sub-Sector | Orientor | Viability of Sub-System | Contribution to Total System | Indicators |
---|---|---|---|---|
Infrastructure | Existence | Is the system compatible with, and can it exist in, its particular environment? | Does the system play a part in the existence of the total system? | Facilities for training and education |
Economic System | Effectiveness | Is it effective and efficient? | Does it contribute to the effective and efficient operation of the total system? | The probability of participating in the BTAP program. |
Government | Freedom of action | Does it have the necessary freedom to respond and react as needed? | Does it contribute to the freedom of action of the total system? | Financial liquidity |
Social system | Security | Is it safe, secure, and stable? | Does it contribute to the safety, security, and stability of the total system? | Threat |
Individual development | Adaptability | Can it adapt to new challenges? | Does it contribute to the adaptability and flexibility of the total system? | Desire to provide better education to children |
Other (actor) systems | Coexistence | Is it compatible with interacting sub-systems? | Does it contribute to the compatibility of the total system with its partner systems? | Contribution of females to the family income |
Resources and environment | Psychological need | Is it compatible with psychological needs and culture? | Does it contribute to the psychological wellbeing of people? | Sense of achievement |
Basic/Define Orientors | Indicators for Orientors (Sub-Sector) Measures | Impact Grade (0–4) | Score (0–4) | Final Assessment |
---|---|---|---|---|
Effectiveness | Probability of participating in the BTAP program | 4 | 3.48 | Excellent |
Freedom of action | Financial liquidity | 4 | 3.33 | Excellent |
Existence | Facilities for training and education | 4 | 2.9 | Good |
Security | Threat | 4 | 1.93 | Acceptable |
Adaptability | Desire to provide better education to children | 4 | 2.92 | Good |
Coexistence | Contribution of females to the family income | 4 | 1.88 | Acceptable |
Psychological need | Sense of achievement | 4 | 2.91 | Good |
Total sustainability of the program | 4 | 2.76 | Good |
Implementation Phase | Net Income (Million Rs) | ||
---|---|---|---|
Phase 1 | Phase 2 | Phase 3 | |
Phase 1 (2014 to 31 December 2015) | 118.50 | 184.40 | 164.30 |
Phase 2 (01 January 2016 to 30 June 2017) | ---- | 354.46 | 223.87 |
Phase 3 (01 July 2017 to February 2018) | ---- | ---- | 39.50 |
Total | 118.50 | 538.86 | 427.67 |
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Khan, N.; Shah, S.J.; Rauf, T.; Zada, M.; Yukun, C.; Harbi, J. Socioeconomic Impacts of the Billion Trees Afforestation Program in Khyber Pakhtunkhwa Province (KPK), Pakistan. Forests 2019, 10, 703. https://doi.org/10.3390/f10080703
Khan N, Shah SJ, Rauf T, Zada M, Yukun C, Harbi J. Socioeconomic Impacts of the Billion Trees Afforestation Program in Khyber Pakhtunkhwa Province (KPK), Pakistan. Forests. 2019; 10(8):703. https://doi.org/10.3390/f10080703
Chicago/Turabian StyleKhan, Naveed, Syed Jamal Shah, Tariq Rauf, Muhammad Zada, Cao Yukun, and Jun Harbi. 2019. "Socioeconomic Impacts of the Billion Trees Afforestation Program in Khyber Pakhtunkhwa Province (KPK), Pakistan" Forests 10, no. 8: 703. https://doi.org/10.3390/f10080703
APA StyleKhan, N., Shah, S. J., Rauf, T., Zada, M., Yukun, C., & Harbi, J. (2019). Socioeconomic Impacts of the Billion Trees Afforestation Program in Khyber Pakhtunkhwa Province (KPK), Pakistan. Forests, 10(8), 703. https://doi.org/10.3390/f10080703