International Journal of Social Science & Economic Research
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Idawati, Aida Vitayala S. Hubeis, Anna Fatchiya, and Pang S Asngari

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1 Idawati, 2Aida Vitayala S. Hubeis, 2Anna Fatchiya, and 3Pang S Asngari
1. Department of Agribusiness, University of Andi Djemma, Palopo, South Sulawesi.
2. Doctoral Extension Education Development Program, Graduate School, Bogor Agricultural University, Campus IPB Dramaga, 16680, Indonesia.
3. Communications Science and Community Development Departement, Faculty of Human Ecology Bogor Agricultural University, Campus IPB Dramaga, 16680, Indonesia

Idawati, et al. "COCOA FARMERS 'ADAPTATION CAPACITY LEVEL IN OVERCOMING CLIMATE CHANGE IMPACTS AND THE FACTORS THAT AFFECT IT." Int. j. of Social Science and Economic Research, vol. 3, no. 12, Dec. 2018, pp. 6908-6921, Accessed Dec. 2018.
Idawati, Hubeis, A., Fatchiya, A., & Asngari, P. (2018, December). COCOA FARMERS 'ADAPTATION CAPACITY LEVEL IN OVERCOMING CLIMATE CHANGE IMPACTS AND THE FACTORS THAT AFFECT IT. Int. j. of Social Science and Economic Research, 3(12), 6908-6921. Retrieved from
Idawati, Aida Vitayala S. Hubeis, Anna Fatchiya, and Pang S Asngari. "COCOA FARMERS 'ADAPTATION CAPACITY LEVEL IN OVERCOMING CLIMATE CHANGE IMPACTS AND THE FACTORS THAT AFFECT IT." Int. j. of Social Science and Economic Research 3, no. 12 (December 2018), 6908-6921. Accessed December, 2018.

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Climate change has a significant impact on cocoa farmers, so adaptive capacity is needed to overcome this problem. Adaptation capacity is supported by farmers' internal characteristics, extension support, government and private support. The objectives of this study are (1) to identify the level of adaptation capacity of farmers in overcoming the effects of climate change from two district; (2) to analyze the factors that influence farmers' adaptation capacity; and (3) to analyze the effect of adaptive capacity on business sustainability. The study was conducted from June to August 2018. Data collection was carried out through interviews with 282 farmers and five key informants. Descriptive statistical analysis in the form of frequency distribution table using excel program and Mann Whitney difference test using Statistical Product and Service Solution (SPSS) version 24. Inferential statistical analysis using Smart-Partial Least Square (PLS) 2. The results showed that the adaptation capacity of cocoa farmers from Luwu District and North Luwu in the high category. Managerial, socio-cultural and high-category while technical abilities are low and very different in the two districts. The adaptation capacity of cocoa farmers is influenced by the characteristics of farmers, extension support and government support. The level of adaptation capacity of farmers has been a positive and significant influence on business sustainability.