Study on the Influencing Factors of Farmers' Adoption of Conservation Tillage Technology in Black Soil Region in China: A Logistic-ISM Model Approach

Int J Environ Res Public Health. 2022 Jun 24;19(13):7762. doi: 10.3390/ijerph19137762.

Abstract

The adoption of conservation tillage technology can improve the production efficiency of black soils (mollisols), and it has great significance to ensure the sustainable development of agriculture. This paper takes farmers in the black soil region of Jilin Province as the research object, uses 442 survey data of farmers in seven municipal areas in the black soil region of Jilin Province, constructs a logistic-ISM model, first determines the influencing factors of farmers' adoption of conservation tillage technology, and then analyzes the hierarchical structure of each influencing factor. The results show that: (1) among the eight significant influencing factors of farmers' adoption of conservation tillage technology, age, whether they know the government's subsidies for conservation tillage and the number of labor force are the deep-rooted factors; (2) Education level, whether you know that the government is promoting conservation tillage, and the planting area are intermediate level factors; (3) whether they have received the technical services of conservation tillage and whether the cultivated land is scattered is the direct factors. Based on the significance analysis of the influencing factors of farmers' adoption of conservation tillage technology and the research on the action mechanism of the influencing factors of farmers' adoption of conservation tillage technology, this paper puts forward policy suggestions to improve the extension system of conservation tillage technology, improve the implementation of land transfer and subsidy policies, strengthen the ability of rural socialized services, and strengthen the publicity of black soils protection.

Keywords: Logistic-ISM model; black soil region; conservation tillage; farmers’ behavior.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Agriculture / methods
  • China
  • Farmers*
  • Humans
  • Soil*
  • Technology

Substances

  • Soil

Grants and funding

This work was supported by the Jilin Province Science and Technology Development Plan Project under Grant [20190301080NY].