中国地理科学 ›› 2021, Vol. 31 ›› Issue (1): 109-125.doi: 10.1007/s11769-021-1178-8

• Big Data and Urban Study • 上一篇    下一篇

Sustainable Intensification of Cultivated Land Use and Its Influencing Factors at the Farming Household Scale: A Case Study of Shandong Province, China

NIU Shandong1,2, LYU Xiao1,2, GU Guozheng1, ZHOU Xiaoping3, PENG Wenlong2   

  1. 1. School of Humanities and Law, Northeastern University, Shenyang 110169, China;
    2. School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China;
    3. School of Government, Beijing Normal University, Beijing 100875, China.
  • 收稿日期:2020-06-14 发布日期:2021-01-05
  • 通讯作者: LYU Xiao E-mail:nsd1024@foxmail.com;lvxiao1030@163.com
  • 基金资助:
    Under the auspices of the National Natural Science Foundation of China (No. 41671176, 42071226), Liaoning Revitalization Talents Program (No. XLYC1807060)

Sustainable Intensification of Cultivated Land Use and Its Influencing Factors at the Farming Household Scale: A Case Study of Shandong Province, China

NIU Shandong1,2, LYU Xiao1,2, GU Guozheng1, ZHOU Xiaoping3, PENG Wenlong2   

  1. 1. School of Humanities and Law, Northeastern University, Shenyang 110169, China;
    2. School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China;
    3. School of Government, Beijing Normal University, Beijing 100875, China.
  • Received:2020-06-14 Published:2021-01-05
  • Contact: LYU Xiao E-mail:nsd1024@foxmail.com;lvxiao1030@163.com
  • Supported by:
    Under the auspices of the National Natural Science Foundation of China (No. 41671176, 42071226), Liaoning Revitalization Talents Program (No. XLYC1807060)

摘要: Promoting the sustainable intensification of cultivated land use (SICL) has become crucial for ensuring a sufficient supply of grain and important agricultural products, as well as for the sustainable use of resources. Taking widely used areas of Shandong Province in China as examples, an analytical scale and level framework for SICL is constructed in this study. It measures the level of SICL through material flow analysis, constructs Tobit models to analyze the influencing factors of SICL at the farming household scale, and analyzes the transition mechanisms of SICL. The results show that the overall level of SICL in Shandong Province is low, and the spatial distribution is uneven. There are relatively more farmers participating in unsustainable intensification than in medium or low levels of SICL, with farmers working at a high level of SICL making up the smallest proportion. The factors that determine the level of SICL at which farmers work vary significantly. More male farmers operate at a low SICL level than female farmers, while females outnumber males at a high SICL level. This is mainly related to the regional distribution of age and population. Meanwhile, with larger cultivated land areas, there is a lower degree of land fragmentation, with a higher level of SICL corresponding to a smaller distance to the nearest town closer within 1–5 km from the town center. We can see the level of SICL and its processes themselves are closely related to time and space scales. Based on the above analysis, it is necessary to clarify the standard processes of SICL to adapt them to local conditions. This includes instructing managers on how to improve resource utilization, increase the sustainable development of cultivated land and establish a comprehensively efficient and functional SICL mechanism. The sustainable intensification of cultivated land use and its specific application in the new era are conducive to enriching the frontier theories and methodology of sustainable development, and are of great significance to the advancement of green agriculture and the decision-making of rural high-quality development.

关键词: cultivated land use, sustainable intensification, farming household scale, material flow analysis

Abstract: Promoting the sustainable intensification of cultivated land use (SICL) has become crucial for ensuring a sufficient supply of grain and important agricultural products, as well as for the sustainable use of resources. Taking widely used areas of Shandong Province in China as examples, an analytical scale and level framework for SICL is constructed in this study. It measures the level of SICL through material flow analysis, constructs Tobit models to analyze the influencing factors of SICL at the farming household scale, and analyzes the transition mechanisms of SICL. The results show that the overall level of SICL in Shandong Province is low, and the spatial distribution is uneven. There are relatively more farmers participating in unsustainable intensification than in medium or low levels of SICL, with farmers working at a high level of SICL making up the smallest proportion. The factors that determine the level of SICL at which farmers work vary significantly. More male farmers operate at a low SICL level than female farmers, while females outnumber males at a high SICL level. This is mainly related to the regional distribution of age and population. Meanwhile, with larger cultivated land areas, there is a lower degree of land fragmentation, with a higher level of SICL corresponding to a smaller distance to the nearest town closer within 1–5 km from the town center. We can see the level of SICL and its processes themselves are closely related to time and space scales. Based on the above analysis, it is necessary to clarify the standard processes of SICL to adapt them to local conditions. This includes instructing managers on how to improve resource utilization, increase the sustainable development of cultivated land and establish a comprehensively efficient and functional SICL mechanism. The sustainable intensification of cultivated land use and its specific application in the new era are conducive to enriching the frontier theories and methodology of sustainable development, and are of great significance to the advancement of green agriculture and the decision-making of rural high-quality development.

Key words: cultivated land use, sustainable intensification, farming household scale, material flow analysis