Impacts of asset specificity on specialized farmers’ adaptation to climate change: evidence from apple farmers in Shaanxi Province

FENG Xiaolong1 LIU Mingyue2 QIU Huanguang1,2 HUO Xuexi3

(1.National Academy of Development and Strategy, Renmin University of China)
(2.School of Agricultural Economics and Rural Development, Renmin University of China)
(3.College of Economics & Management, Northwest A&F University)

【Abstract】Based on survey data collected from apple farmers in eight apple base counties in Shaanxi Province, this paper analyzes the impacts of asset specificity on specialized farmers’ adaptation to climate change. The results show that several key adaptive behaviors to climate change such as employing black plastic film mulch, artificial grass and crop stalks, are not widely used. The specificity of human capital, agricultural assets, land assets, and geographical location have significant impacts on apple farmers’ adaptation to climate change. Specially, education achievement of household heads, possession of agricultural production machinery and construction of village road have positive impacts on apple farmers’ adaptation. The plantation scale has a positive impact on the area of land in which apple farmers adapt to climate change. While the distance from village to town has a negative impact on apple farmers’ adaptation, the distance from village to input suppliers has a negative impact on the area of land in which apple farmers adapt to climate change.

【Keywords】 asset specificity; adaptation; climate change; specialized farmer;


【Funds】 Project of National Modern Agricultural Industry Technology System Construction (CARS-28) Project of China Postdoctoral Science Foundation (2017M620995) Project of National Natural Science Foundation (71763240)

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    [1]. ① Specialized farmers refer to the market-oriented farmers who are specialized in the production of certain agricultural products. They have the characteristics of specialized production of certain agricultural products, highly concentrated production and operation projects, and the sales income of certain agricultural products accounts for more than 50% of the total household income of that year (Hou and Huo, 2016; Zhang, 2008). [^Back]

    [2]. ① China Meteorological Data Network. [^Back]

    [3]. ② According to the conclusion of previous studies, the income of apple growers nationwide accounted for more than 76% of the total family income (Hou and Huo, 2016). The proportion of apple growers in Shaanxi province was more than 71%, with an average of 74.38% (Feng et al., 2016). [^Back]

    [4]. ③ Firstly, all counties are ranked by apple acreage from largest to smallest. Secondly, isometric sampling method is used to extract sample counties. [^Back]

    [5]. ① In the analysis of the factors affecting the degree of production measures, the actual sample size was 164. Because the variable of production machinery ownership had empty values after taking logarithm, these corresponding samples were automatically removed in the regression. [^Back]


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This Article


CN: 11-3586/F

Vol , No. 04, Pages 74-85

July 2018


Article Outline


  • 1 Introduction
  • 2 Theoretical analysis
  • 3 Data source, model settings and variable selection
  • 4 Result analysis
  • 5 Conclusions and implications
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