The differentiated adoption of green planting technology by farmers and its influencing factors: the case from Juxian County, China

Abstract

The application of the green planting technology (GPT) is the critical aspect of agricultural production mode transformation. The recognition and adoption of GPT by farmers are the keys to promoting GPT. The objectives are to understand the process law of adoption of GPT by farmers from the aspects of behavioral differences and influencing factors, and provide a reference for promoting GPT according to local conditions and farmers. This study took 202 farmer questionnaires in Juxian County, China as samples, (1) used statistical analysis to analyze the farmer’s cognition and adoption behavior of different GPT, and (2) used multivariate ordered Logistic model to explore the influencing factors of GPT adoption behavior. The main findings are shown as follows: (1) The farmers’ cognition and adoption of GPT are not ideal in Juxian County. The surveyed farmers lack of in-depth understanding on the whole. 70.79% of farmers adopted the number of GPT less than 5 and with the lower adoption score. (2) The shorter the number of years of farming, the clearer the cognition of chemical input pollution, the more awareness of GPT, the larger the scale of cultivated land operation, the higher the level of regional economic development, and the higher the level of GPT adoption by farmers. (3) The scope of technological cognition and the operation scale have a prominent impact on the adoption of GPT by farmers with different livelihood types and various cultivated terrain conditions.