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JOURNAL OF NATURAL RESOURCES >

2011 , Vol. 26 >Issue 7: 1119 - 1128

DOI: https://doi.org/10.11849/zrzyxb.2011.07.004

Resources Utilization and Management

Factors Influencing Southern Rice Farmers Adapting to Climate Change Behavior—Based on 346 Household Survey Data of 36 Counties in Jiangxi Province

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  • 1. College of Economics and Trade, Jiangxi Agricultural University, Nanchang 330045, China;
    2. College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China

Received date: 2010-12-24

  Revised date: 2011-03-10

  Online published: 2011-07-20

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Abstract

Obtaining 346 household survey data from 36 counties in Jiangxi Province, with the aid of Heckman Probit selection model, this paper analyzes the factors influencing the farmers’ perception on climate change and adaptive behavior. According to the empirical results, factors such as the age of the head of a household, educational level, communication frequency with the villagers, the number of relatives, being in contact with frequency of going to a fair, frequency of watching television, distance from the market and weather information services can all significantly affect the farmers’ perception on climate change;while factors such as the gender, age and educational level of the head of a household,the number of people that can lend mney, the number of the relatives being in contact with, freguency of going to a fair, frequency of watching television and weather information services have significant effect on the decision-making behavior adaptable to climate change. Finally, based on empirical results, we put forward policies and recommendations facilitating farmers to adapt to climate change behavir.

Key words： resources and environment; adaptive behavior; Heckman Probit Selection Model; climate change

Cite this article

ZHU Hong-gen, ZHOU Shu-dong . Factors Influencing Southern Rice Farmers Adapting to Climate Change Behavior—Based on 346 Household Survey Data of 36 Counties in Jiangxi Province[J]. JOURNAL OF NATURAL RESOURCES, 2011 , 26(7) : 1119 -1128 . DOI: 10.11849/zrzyxb.2011.07.004

References

[1] Atanu Saha, Love H Alan, Robeit Schwar. Adoption of emerging technologies under output uncertainty[J]. American Journal of Agricultural Economics, 1994, 76(11) : 23-34. [2] 孔祥智, 方松海, 庞晓鹏, 等. 西部地区农户禀赋对农业技术采纳的影响分析[J]. 经济研究, 2004(12): 85-95. [3] Nhemachena C, Hassan R. Micro-level analysis of farmer’ adaptation to climate change in southern Africa. IFPRI Discussion Paper, International Food Policy Research Institute, No.00714. Washington D C, 2007. [4] Kurukulasuriya P, Mendelsohn R. Crop selection: Adapting to climate change in Africa. CEEPA Discussion Paper, No.26, 2006. [5] Seo N, Mendelsohn R. Climate change adaptation in Africa: A microeconomic analysis of livestock choice. CEEPA Discussion Paper, No.19, 2006. [6] Yirga C T. The Dynamics of Soil Degradation and Incentives for Optimal Management in Central Highlands of Ethiopia. Department of Agricultural Economics, Extension and Rural Development, University of Pretoria, South Africa, 2007. [7] Maddison D. The perception of and adaptation to climate change in Africa. CEEPA. Discussion Paper, No.10, 2006. [8] Tenge J, De Graaff, Hella J P. Social and economic factors affecting the adoption of soil and water conservation in West Usambara highlands, Tanzania[J]. Land Degradation and Development, 2004(2): 99-114. [9] Kebede Y, Kunjal K, Coffin G. Adoption of new technologies in Ethiopian agriculture: The case of Tegulet-Bulga District, Shewa Province[J]. Agricultural Economics, 1990, 4: 27-43. [10] Igoden C, Ohoji J Ekpare. Factors associated with the adoption of recommended practices for maize production in the lake basin of Nigeria[J]. Agricultural Administration and Extension, 1990(2): 149-156. [11] Lin J. Education and innovation adoption in agriculture: Evidence from hybrid rice in China[J]. American Journal of Agricultural Economics, 1991, 73(3): 713-723. [12] 林毅夫. 制度、 技术与中国农业发展[M]. 上海: 上海三联书店, 1994. [13] 刘华周, 马康贫. 农民文化素质对农业技术选择的影响[J]. 调研世界, 1998(10): 29-31. [14] Franzel S. Socioeconomic factors affecting the adoption potential of improved tree fallows in Africa[J]. Agroforestry Systems, 1999(47): 1-3. [15] 黄季焜. 农业技术的采用和扩散, 农业技术进步测定的理论方法[M]. 北京: 中国农业科技出版社, 1994. [16] Temesgen Deressa. Analyzing the determinants of farmers’ choice of adaptation methods and perceptions of climate change in the Nile Basin of Ethiopia. IFPRI Discussion Paper, No.00798, 2008. [17] 朱希刚, 赵绪福. 贫困山区农业技术采用的决定因素分析[J]. 农业技术经济, 1995(5): 18-21. [18] 赵绪福. 贫困山区农业技术扩散速度分析[J]. 农业技术经济, 1996(4): 41-43.
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