帳號:guest(18.218.83.44)          離開系統
字體大小: 字級放大   字級縮小   預設字形  

詳目顯示

以作者查詢圖書館館藏以作者查詢臺灣博碩士論文系統以作者查詢全國書目勘誤回報
作者:MANENO YOBE AKULE CHIMULALA
作者(英文):MANENO YOBE AKULE CHIMULALA
論文名稱:了解馬拉維奇拉祖魯區農民採用氣候智能型農業的適應行為
論文名稱(英文):Understanding Farmers’ Adaptation Behaviour towards Climate-Smart Agriculture Adoption in Chiradzulu District, Malawi
指導教授:李俊鴻
指導教授(英文):Chun-Hung Lee
口試委員:洪春復
林宜幸
口試委員(英文):Chun-Fu Hong
Yi-Hsing Lin
學位類別:碩士
校院名稱:國立東華大學
系所名稱:人文與環境碩士學位學程
學號:611055005
出版年(民國):112
畢業學年度:111
語文別:英文
論文頁數:112
關鍵詞(英文):Climate-Smart AgricultureAdaptive Capacityadaptationmitigationfood security
相關次數:
  • 推薦推薦:0
  • 點閱點閱:5
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:7
  • 收藏收藏:0
Climate-Smart Agriculture is a holistic tool fighting the adverse impacts of climate change in the agriculture sector bearing in mind that climate change is a global issue. Cognizant of the fact that agriculture, as one of the sectors of the economy, is not only the victim of the impact of weather-related events but a contributor too, the CSA aims at addressing three fundamental issues in the agriculture sector in apparent response to climate change: 1) sustainable crop and animal production (food security); 2) strengthening agricultural system against climate change (adaptation); and (3) reducing greenhouse gas emissions (mitigation). Chiradzulu is one of the districts in the southern part of Malawi facing climate change-related disasters, and being an agrarian economy, the consequences are more pronounced in the agriculture sector. Despite the efforts by the government and different organizations to promote CSA, the adoption rate is quite low. This calls for a thorough understanding of the adaptation behaviour of the farmers in the face of climate change. This study used the adaptive capacity framework to understand the farmers’ adaptation behaviour towards CSA. The adaptive strategies formulated from the facets of adaptive capacity i.e. Assets, Flexibility, Organization, Knowledge, and Agency, were evaluated based on farmers’ preferences using the Importance-Performance Analysis (IPA) and Choice Experiment (CE). This study reveals that farmers support 1) policy provision of subsidized inputs for CSA, 2) formation of cooperatives to improve farmers’ access to tools and agricultural services, 3) strengthening of common national platform for CSA, 4) harmonized approach in extension delivery and implementation by government and NGOs, 5) enhance agricultural extension services and 6) strengthening community agriculture structures. The study also finds that farmers’ preferences were influenced by socio-demographic characteristics such as gender, age, marital status, farm size, education, income, type of farming, and years of farming experience. The younger population, females, married people, subsistence farmers, low income earners, less educated, less experienced, and those owning small farm land showed higher willingness to participate in CSA adoption solutions.

Key words: Climate-Smart Agriculture, Adaptive Capacity, adaptation, mitigation, food security
Table of Contents
Acknowledgment vii
Abstract ix
List of Tables xvii
List of Figures xix
List of Abbreviations xxi
1. Chapter One: INTRODUCTION - 1 -
1.1 Background of the study - 1 -
1.2 Problem statement - 3 -
1.3 Significance of the study - 5 -
1.4 Ethical consideration - 5 -
2. Chapter 2: LITERATURE REVIEW - 7 -
2.1 Climate change impact on the agricultural system in Malawi - 7 -
2.2 Climate change and agricultural adaptation - 9 -
2.3 Conceptual and theoretical underpinnings of CSA - 11 -
2.3.1 Climate-Smart Agriculture practices in Malawi - 12 -
2.3.2 Policy situation for CSA in Malawi - 13 -
2.4 Adaptive capacity and CSA adoption - 14 -
2.4.1 Assets and CSA in Malawi - 15 -
2.4.2 Learning and CSA in Malawi - 16 -
2.4.3 Flexibility and CSA in Malawi - 17 -
2.4.4 Social organization and CSA in Malawi - 17 -
2.4.5 Agency and CSA in Malawi - 18 -
3. Chapter 3: MATERIALS AND METHODS - 19 -
3.1 Study area - 19 -
3.2 Conceptual framework and theoretical thinking - 21 -
3.2.1 Research design - 22 -
3.2.2 Questionnaire and survey design - 27 -
3.3 Preference models - 29 -
3.3.1 Hypothetical Scenarios for future planning and implementation of CSA - 32 -
3.3.2 Sample size and sampling technique - 32 -
3.4 Importance-Performance Analysis (IPA) - 34 -
4. Chapter 4: RESULTS - 37 -
4.1 Social demographic characteristics of the respondents - 37 -
4.2 Importance Performance Analysis results - 42 -
4.2.1 Matrix of I-P level of CSA adoption and adaptation behavior by farmers - 42 -
4.2.2 Importance-Performance analysis matrix for all respondent - 44 -
4.3 Choice Experiment Results - 46 -
4.3.1 Estimating farmers’ preference for CSA adoption strategies - 46 -
4.3.2 Welfare Analysis - 48 -
4.3.3 Effects of Preference Heterogeneity - 49 -
4.3.4 Welfare Estimation under Different Scenarios for adaptive CSA Adoption Program - 52 -
5. Chapter 5: DISCUSSION OF RESULTS - 55 -
5.1 Farmers’ evaluation of CSA adoption solutions from IPA approach - 55 -
5.2 Farmers’ evaluation of CSA adoption strategies from CE approach - 58 -
6. Chapter 6: CONCLUSION AND RECOMMENDATIONS - 63 -
References - 65 -
APPENDICES - 71 -
APPENDIX I: Letter of authorization to conduct research in Mbulumbuzi EPA, Chiradzulu District - 71 -
APPENDIX II: Key stakeholders’ interview questionnaire - 72 -
APPENDIX III: Pretest questionnaire - 74 -
APPENDIX IV: Formal questionnaire version 1 - 79 -
APPENDIX V: Removal of unreasonable cards - 87 -
APPENDIX VI: Versions of the questionnaire with choice sets - 89 -
APPENDIX VII: Pictures of enumerators doing formal survey - 90 -

Adams, R., Hurd, B., Lenhart, S. & Leary, N. (1998). Effects of Global Climate Change on Agriculture: An Interpretative Review. Climate Research, 11: 19-30.
Adekemi, O. A. Taiwo, T. A. & Akinlade, R. J. (2016). Causal effect of credit and technology adoption on farm output and income: The case of cassava farmers in Southwest Nigeria. Invited paper presented at the 5th International Conference of the African Association of Agricultural Economists, September 23-26, 2016, Addis Ababa, Ethiopia.
Adesina, A. A. & Forson, J.B. (1995). Farmers' perceptions and adoption of new agricultural technology: Evidence from analysis in Burkina Faso and Guinea, West Africa. Journal of Agricultural Economics, 13: 1–9.
Adger, W.N.; Barnett, J. Four reasons for concern about adaptation to climate change. Environ.
Plan. A Econ. Space 2009, 41, 2800–2805.
Amadu, F.O., McNamara, P.E. and Miller, C. (2020). Understanding the adoption of climate-
smart agriculture: A farm-level typology with empirical evidence from southern Malawi.
World Development 126: 10462. https://doi.org/10.1016/j.worlddev.2019.104692.
Arslan, A., Belotti, F. and Lipper, L. (2016) Smallholder productivity under climatic variability :
Adoption and impact of widely promoted agricultural practices in Tanzania. ESA
Working Paper No. 16–0). Rome: Food and Agriculture Organization of the United
Nations.
Asfaw, S., McCarthy, N., Lipper, L., Arslan, A., Cattaneo, A., 2016. What determines farmers’
adaptive capacity? DOI:10.1007/s12571-016-0571-0
Awotide, B.A., Karimov, A.A. and Diagne, A. (2016) ‘Agricultural technology adoption,
commercialization and smallholder rice farmers’ welfare in rural Nigeria’, Agricultural and Food Economics 4: 3. https://doi.org/10.1186/s40100-016-0047-8.
Ayuya, O. I., Waluse, S. K. & Gido, O. E. (2012). Multinomial Logit Analysis of Small-Scale
Farmers’ Choice of Organic Soil Management Practices in Bungoma County, Kenya.
Current Research Journal of Social Science, 4 (4): 314–322.
Bernier, Q. Meinzen-Dick, R., Kristjanson, P., Haglund, E., Kovarik, C., Bryan, E., Ringler, C. & Silvestri S. (2015). Gender and Institutional Aspects of Climate-Smart Agricultural Practices: Evidence from Kenya. CCAFS Working Paper No. 79.
Beshir, H., Emana B., Kassa B. & Haji J. (2012). Determinants of chemical fertilizer technology
adoption in North eastern highlands of Ethiopia: the double hurdle approach. Journal of
Research in Economics and International Finance (JREIF), 12:39-49.
Bickel, G., Nord, M., Price, C., Hamilton, W. & Cook, J. (2000): Guide to Measuring Household Food Security: U.S. Department of Agriculture, Food and Nutrition Service, USDA Guide 2000. Alexandria VA.
Boruru, E., Ontita, E., Ogara, W. & Oguge, N. (2011). Climate Change and the Emergence of
Helter-Skelter Livelihoods Among the Pastoralists of Samburu East District, Kenya. In: Filho W. L. (Eds.). Climate Change Management: Experiences of Climate Change.
Bourguinon, F., Fournier, M., Gurgand, M. (2007). Selection Bias Corrections Based on the Multinomial Model: Monte Carlo Comparisons. Journal of Economic Survey, 21: 174-205.
Branca, G., McCarthy, N. Lipper, L. & Jolejole, M. C. (2011). “Climate Smart Agriculture: A Synthesis of Empirical Evidence of Food Security and Mitigation Benefits from
Improved Cropland Management.” FAO Working paper No. LAC3/10. Rome.
Brown, K. & Westaway, E. Agency, capacity, and resilience to environmental
change: Lessons from human development, well-being, and disasters.
Ann. Rev. Environ. Res. 36, 321–342 (2011)

Burton, I.; Huq, S.; Lim, B.; Pilifosova, O.; Schipper, E.L. From impacts assessment to
adaptation priorities: The shaping of adaptation policy. Clim. Policy 2002, 2, 145–159.
Chabvunguma, S. & Munthali, G.(2008). Determination of maize planting dates using some
meteorological factors-Case Study Chitipa. Paper presented at the Proceedings of
the 8th National Research Council of Malawi Conference.

Campbell, B. M., Thornton, P. K., Zougmoré, R., van Asten, P., and Lipper, L. (2014).
Sustainable intensification: what is its role in climate smart agriculture? Curr. Opin.
Environ. Sustain. 8, 39–43. doi: 10.1016/j.cosust.2014.07.002
Challa, M. & Tilahun, U. (2014). Determinants and Impacts of Modern Agricultural Technology Adoption in West Wollega: The Case of Gulliso District. Journal of Biology, Agriculture and Healthcare, 4(20): 2224-3208.
Chatterjee, S., Goswami, R. & Bandyopadhyay, P. (2015). Methodology of Identification and
Characterization of Farming Systems in Irrigated Agriculture: Case Study in West Bengal State of India. Journal of Agricultural Science and Technology, 17: 11271140.
Chinsinga, B., Chasukwa, M., & Naess, L. O. (2012). Climate change and agricultural policy
processes in Malawi.Working Paper August 2012(1–26).Brighton, UK: University of
Sussex, UK Department for International Developmentg. https://www.future-agriulture
Collins-Sowah, Peron A. (2018) : Theoretical conception of climate-smart
agriculture, Working Papers of Agricultural Policy, No. WP2018-02, Kiel University, Department of Agricultural Economics, Chair of Agricultural Policy, Kiel
Corbeels, M., Graaff, J. De, Hycenth, T., Penot, E., Baudron, F., Naudin, K., Andrieua, N.,
Chirata, G., Schulerc, J., Nyagumboe, I., Rusinamhodzib, L., Traoref, K., Mzobag, H.D. and Aldowa, I.V., (2014) ‘Understanding the impact and adoption of conservation agriculture in Africa: A multi-scale analysis’, Agriculture, Ecosystems and
Environment 187: 155-170. https://doi.org/10.1016/j.agee.2013.10.011
Coulibaly, J.Y., Gbetibouo, G.A., Kundhlande, G., Sileshi, G.W. and Beedy, T.L. (2015)
‘Responding to Crop Failure: Understanding Farmers’ Coping Strategies in Southern Malawi’, Sustainability 7: 1620-1636. https://doi.org/10.3390/su7021620.
Davies R, Midgley S (2010) Risk and vulnerability mapping in Southern Africa: a hotspot
analysis. OneWorld Sustainable Investments (Pty) Ltd, Cape Town
Davis C (2011) Climate risk and vulnerability: a handbook for Southern Africa. Council for
Scientific and Industrial Research, Pretoria 25.
Daze, A.; Ambrose, K.; Erhart, C. Climate Vulnerability and Capacity Analysis Handbook;
CARE International: Geneva, Switzerland, 2009.
De Groote, H. & Coulibaly, N. (1998). Gender and Generation: An Intra-Household Analysis on
Access to Resources in Southern Mali. African Crop Science Journal, 6(1): 9–95.
Deininger, K., Ali, D.A. & Alemu, T. (2009). Impacts of Land Certification on Tenure Security,
Investment, and Land Markets: Evidence from Ethiopia. Environment for Development
Discussion Paper Series EfD DP 09-11.
Denning, G.et al (2009). Input subsidies to improve smallholder maize productivity in Malawi:
Toward an African Green Revolution. PLoS biology, 7(1), e1000023.
Deressa T., Hassan, R. & Poonyth, D. 2005. Measuring the Economic Impact of
Climate Change on South Africa‟s Sugarcane Growing Regions. Agreko, 44 (4): 524542.
Di Falco, S. & Veronesi, M. (2011). On Adaptation to Climate Change and Risk Exposure in the Nile Basin of Ethiopia. IED Working Paper, 15. ETH, Zurich.
Dasgupta, P.; et al. Climate Change 2014: Synthesis Report. Contribution of Working Groups I,
II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate
Change; IPCC: Geneva, Switzerland, 2014; p. 151.
Dougill, A.J., Whitfield, S., Stringer, L.C., Vincent, K., Wood, B.T., Chinseu, E.L.,
Steward, P. & Mkwambisi, D.D. 2017. Mainstreaming conservation agriculture in Malawi: Knowledge gaps and institutional barriers. Journal of Environmental Management, 195: 25–34.
Eriksen, H. & Kelly, P. M. (2004). Developing Credible Vulnerability Indicators for Climate
Adaptation Policy Assessment. Mitigation and Adaptation Strategies for Global Change, 12:
495–524.
FAO, IFAD, UNICEF, WFP and WHO. 2022. The State of Food Security and Nutrition in the
World 2022. Repurposing food and agricultural policies to make healthy diets more affordable. Rome, FAO. https://doi.org/10.4060/cc0639en
FAO IFAD, UNICEF, WFP, and WHO. (2018). The State of Food Security and Nutrition in the
World 2018. Building Climate Resilience for Food Security and Nutrition. Technical report. Rome: FAO.
FAO. 2013. Modeling System for Agricultural Impacts of Climate Change (MOSIACC).
(available at http://www. fao.org/climatechange/mosaicc)
FAO. (2012). Plan of Action for Malawi 2012-2016. Emergency Operations and Rehabilitation
Division. Food and Agriculture Organization of the United Nations.
FAO. 2010. “Climate-smart” agriculture: policies, practices and financing for food security, adaptation and
mitigation. Rome. FAO. 2011a. Potential
FAO. 2009. Food Security and Agricultural Mitigation in Developing Countries: Options for
Capturing Synergies.
http://www.fao.org/fileadmin/user_upload/emergencies/docs/PoA_Malawi.pdf
FARA. (2015). State of Knowledge on CSA in Africa: Case Studies from Ethiopia, Kenya and Uganda. Accra, Ghana.
FEWS NET. (2015). Malawi Food Security Outlook July to December 2015. Famine Early
Warning Systems Network Malawi.
http://fews.net/sites/default/files/documents/reports/Malawi_FSO_2015_07_1.pdf
GoM. (2020) Malawi’s Vision: An Inclusively Wealthy and Self-reliant Nation. Malawi 2063.
Lilongwe: Government of Malawi.
Hagos, H., Ndemo, E. and Yosuf, J. (2018) ‘Factors affecting adoption of upland rice in Tselemti
district , northern Ethiopia’, Agriculture and Food Security 7(58): 1-9.
https://doi.org/10.1186/s40066-018-0210-4.
Hasan, K. (2018) ‘Impact of climate-smart agriculture adoption on the food security of coastal
farmers in Bangladesh’, Food Security, 10: 1073-10888.
https://doi.org/10.1007/s12571-018-0824-1.
IPCC (2019). Climate Change and Land: an IPCC special report on climate change,
desertification, land degradation, sustainable land management, food security, and
greenhouse gas fluxes in terrestrial ecosystems. in Press.
IPCC. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva: IPCC.
Khatri-Chhetri, A., Aggarwal, P. K., Joshi, P. K., and Vyas, S. (2017). Farmers’ prioritization of
climate-smart agriculture (CSA) technologies. Agricultural Systems 151: 184–191.
Lipper, L. et al. (2014). Climate-smart agriculture for food security. Nat. Clim. Chang. 4 (12),
1068.
Lipper, L. and Zilberman, D. (2018). A Short History of the Evolution of the Climate
Smart Agriculture Approach and Its Links to Climate Change and Sustainable Agriculture Debates. In Lipper, L., McCarthy, N., Zilberman, D., Asfaw, S., and Branca,
G., editors, Climate Smart Agriculture : Building Resilience to Climate Change, pages
13–30. Springer International Publishing, Cham.
Macoloo C, Recha JW, Radeny MA, Kinyangi J. (2013). Empowering a local community to
address climate risks and food insecurity in Lower Nyando, Kenya.
Maganga, A.M., Chiwaula, L. and Kambewa, P. (2021) ‘Climate-induced vulnerability to
poverty among smallholder farmers: Evidence from Malawi’, World Development Perspectives 21(November 2020): 100273. https://doi.org/10.1016/j.wdp.2020.100273.
Maggio, Giuseppe; Asfaw, Solomon (2020). Heterogeneous Effects of Sustainable Agriculture
Practices: Micro-evidence from Malawi. Journal of African Economies, (), ejz030–. doi:10.1093/jae/ejz030
Makate, C., Makate, M., Mango, N. and Siziba, S. (2019) ‘Increasing resilience of smallholder
farmers to climate change through multiple adoption of proven climate-smart agriculture innovations . Lessons from Southern Africa’, Journal of Environmental Management 231(October 2018): 858-868. https://doi.org/10.1016/j.jenvman.2018.10.069.

Matita, M., Chirwa, E.W., Zingwe, D. and Mazalale, J. (2022) Use of Climate-Smart Agriculture
Practices and Smallholder Farmer Market Participation in Central Malawi. APRA Working Paper 81. Brighton: Future Agricultures Consortium

Martilla, J.A.; James, J.C. (1977) Importance-performance analysis. J. Mark. 1977, 41, 77–79.
McSweeney C, New M, Lizcano G (2012) UNDP hunger country profiles: Malawi.
Munsabi A, Jordan JL. (2011). The effect of social capital on the choice to use sustainable
agricultural practices. Journal of Agricultural and Applied Economics, 43(1379-2016-
113720), 213.
Murray, U., Gebremedhin, Z., Brychkova, G. and Spillane, C. (2016). Smallholder farmers and
climate smart agriculture: Technology and labor-productivity Constraints amongst women Smallholders in Malawi. Gender. Gender, Technology and Development, 20(2), 117– 148.https://doi.org/10.1177/0971852416640639
Niang, I., Ruppel, O. C., Abdrabo, M. A., Essel, A., Lennard, C., Padgham, J., et al. (2014). “AR5
climate change 2014: impacts, adaptation, and vulnerability,” in Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, eds V. R. Barros, C. B. Field, D. J. Dokken, M. D. Mastrandrea, K. J. Mach, T. E. Bilir, M. Chatterjee, K. L. Ebi, Y. O. Estrada, R. C. Genova, B. Girma, E. S. Kissel, A. N. Levy, S. MacCracken, P. R. Mastrandrea, and L. L. White (Cambridge: Cambridge University Press), 1199–1265
Ongoma et al. (2018). Projected changes in mean rainfall and temperature over East Africa
based on CMIP5 models. International Journal of Climatology.
Pannell, D.J., Llewellyn, R.S. and Corbeels, M. (2014) ‘Agriculture, Ecosystems and
Environment: The farm-level economics of conservation agriculture for resource-poor farmers’, Agriculture, Ecosystems and Environment 187:52-64. https://doi.org/10.1016/j.agee.2013.10.014.


Phan, T. T. T., Nguyen, V. V., Nguyen, H. T. T., & Lee, C.-H. (2022). Integrating Citizens’ Importance-
Performance Aspects into Sustainable Plastic Waste Management in Danang, Vietnam. Sustainability, 14(16), 10324. MDPI AG. Retrieved from http://dx.doi.org/10.3390/su141610324
Rosenstock, T. S., Lamanna, C., Namoi, N., Arslan, A., and Richards, M. (2019). “What is the
evidence base for climate-smart agriculture in East and Southern Africa? A systematic
map,” in The Climate-Smart Agriculture Papers, eds T. Rosenstock, A. Nowak, E. Girvetz
(Cham: Springer), 141–151. doi: 10.1007/978-3-319-92798-5_12
Schaafsmaa, M. et al (2019) Assessing smallholder preferences for incentivised climate-smart
agriculture using a discrete choice experiment. School of Geography and Environmental
Science, University of Southampton, United Kingdom.
Scherr, S. J., Shames, S., and Friedman, R. (2012). From climate-smart agriculture to
Climate smart landscapes. Agriculture and Food Security, 1(1), 1-12. https://doi.org/10.1186/2048-7010-1-12.
Shiferaw, B., Tesfaye, K., Kassie, M., Abate, T., Prasanna, B.M. and Menkir, A. (2014)
‘Managing vulnerability to drought and enhancing livelihood resilience in sub-Saharan Africa: Technological, institutional and policy options’, Weather and Climate Extremes 3: 67-79. https://doi.org/10.1016/j.wace.2014.04.004
Tambo, J.A. and Mockshell, J. (2018) ‘Differential Impacts of Conservation Agriculture
Technology Options on Household Income in Sub-Saharan Africa’, Ecological Economics
151(April): 95-105. https://doi.org/10.1016/j.ecolecon.2018.05.005.
Theriault, V., Smale, M. and Haider, H. (2017) ‘How Does Gender Affect Sustainable
Intensification of Cereal Production in the West African Sahel? Evidence from Burkina Faso’, World Development 92: 177-191. https://doi.org/10.1016/j.worlddev.2016.12.003.

Teklewold, H., Kassie, M. and Shiferaw, B. (2013) ‘Adoption of Multiple Sustainable
Agricultural Practices in Rural Ethiopia’, Agricultural Economcis 64(3): 597-623.
https://doi.org/10.1111/1477-9552.12011.
Theriault, V., Smale, M. and Haider, H. (2017) ‘How Does Gender Affect Sustainable
Intensification of Cereal Production in the West African Sahel? Evidence from Burkina
Faso’, World Development 92: 177-191. https://doi.org/10.1016/j.worlddev.2016.12.003.
The International Disaster Database https://www.emdat.be/
United Nations Office for the Coordination of Humanitarian Affairs (2022).
UN, (2019). World Population Prospects 2019: Highlights. United Nations.
UN, (2015). United Nations Transforming Our World: The 2030 Agenda
for Sustainable Development. A/RES/70/1, United Nations.
UNDP. (2020) Human Development Report 2020. The next frontier: Human development and
the Anthropocene. New York: UNDP.
Vanlauwe, B., Chianu, J., Giller, K. E., Merck, R., Mokwenye, U., Pypers, P., et al. (2010).
Integrated soil fertility management: operational definition and consequences for
implementation and dissemination. Outlook Agric. 39, 17–24.
doi:10.5367/000000010791169998
van Wijk, M. T., Rufino, M. C., Enahoro, D., Parsons, D., Silvestri, S., Valdivia, R. O., et al.
(2014). Farm household modelling and its role in designing climate-resilient agricultural
systems. Glob. Food Secur. 3, 77–84. doi: 10.1016/j.gfs.2014.05.001
Vermeulen, S. J., Campbell, B. M., and Ingram, J. S. I. (2012). Climate change and food
systems. Annu. Rev. Environ. Resour. 37, 195–222. doi: 10.1146/annurev-environ-
020411-130608

Van Viet Nguyen, Thi Thanh Thuy Phan, Lee Chun-Hung, Integrating multiple aspects of human–elephant
conflict management in Dong Nai Biosphere Reserve, Vietnam, Global Ecology and Conservation, Volume 39, 2022, e02285, ISSN 2351-9894, https://doi.org/10.1016/j.gecco.2022.e02285.
Woldeyohanes, T., Heckelei, T. and Surry, Y. (2017) ‘Effect of off-farm income on smallholder
commercialization :panel evidence from rural households in Ethiopia’, Agricultural Economcis 48: 207-218. https://doi.org/10.1111/agec.12327.
Wollni, M., Lee, D.R. and Thies, J.E. (2010) ‘Conservation agriculture , organic marketing , and
collective action in the Honduran hillsides’, Agricultural Economcis 41: 373-384. https://doi.org/10.1111/j.1574-0862.2010.00445.x.
Wossen, T., Abdoulaye, T., Alene, A., Haile, M.G., Feleke, S., Olanrewaju, A. and Manyong, V.
(2017) ‘Impacts of extension access and cooperative membership on technology adoption and household welfare’, Journal of Rural Studies 54 223-233. https://doi.org/10.1016/j.jrurstud.2017.06.022.


 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
* *