Changes of cropping structure lead diversity decline in China during 1985–2015

Jiang, Yulin; Wang, Xiaohui; Huo, Mingyue; Chen, Fu; He, Xiongkui

doi:10.1016/j.jenvman.2023.119051

Cited by 11 publications

(2 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Relative to cash crops, food crops have fewer production stages and higher labor substitution rates. High service quality means that the quality of agricultural machinery socialization services can reach the satisfaction of farmers; at present, the agricultural machinery operation technology for staple food crops has been relatively mature, and there is a high degree of satisfaction in the process of its use by farmers (Qiu and Tang, 2019;Jiang et al, 2023). As a result, farmers will adjust their cropping structure to favor grain production after adopting FMOS.…”

Section: Erm Resultsmentioning

confidence: 99%

Analysis of the impact of farm machinery outsourcing services on farmers’ cropping structure and grain production: an empirical evidence from Henan Province, China

Qiu,

Feng,

Tang

et al. 2024

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

IntroductionThe impact of farm machinery outsourcing services (FMOS) on grain production has been extensively studied in the literature. However, whether FMOS would adjust cropping structures and ensure food security is little known. To address this research gap, we analyzed the impact of FMOS on the cropping structure adjustment and grain production of farmers.MethodsWe estimate the impact of FMOS on grain production by using data collected from a survey of 3,863 wheat farmers in China. We employ the Extended Regression Model (ERM) to address selectivity bias.Results and discussionThe empirical results show that FMOS can adjust the cropping structure and increase the proportion of household food cultivation. Among all segments of FMOS, fertilizer application services drive the increase in grain acreage more significantly. We also find that large-scale households prefer to self-purchase farm machinery rather than FMOS, leading to an insignificant impact of FMOS on cropping structure. Therefore, in the process of promoting the development of FMOS, we should focus on the coordinated development of various types of FMOS, strengthen the popularization and application of fertilization services, and formulate a differentiated subsidy policy for heterogeneous farmers in terms of scale to better play the role of agricultural machinery in promoting grain production.

show abstract

Section: Erm Resultsmentioning

confidence: 99%

Analysis of the impact of farm machinery outsourcing services on farmers’ cropping structure and grain production: an empirical evidence from Henan Province, China

Qiu,

Feng,

Tang

et al. 2024

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

show abstract

“…Scholars have explored the causal factors or paths of change in the agricultural cropping structure from the following aspects: Firstly, rural demographic change affects the crop planting structure by changing the quantity and quality of agricultural labor. The formation and change of planting structure within crops is actually the result of farmers' choices based on the comparative returns of different crops under the constraints of natural conditions, labor factors, and agricultural capital factors [36,37]. Under the constraints of natural factors such as climatic conditions and soil and water resources, the main factors constraining farmers' planting decisions are the quantity and quality of farmers' labor inputs.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Rural Population Aging on Agricultural Cropping Structure: Evidence from China’s Provinces

Li,

Lu,

Luo

et al. 2024

Agriculture

View full text Add to dashboard Cite

Agricultural cropping structure is related to the quality of the agricultural supply system and is a key element of the structural reform of the agricultural supply side. Based on China’s provincial panel data from 2000 to 2021, this paper empirically examines the impact and mechanism of rural population aging on the planting structure of food and cash crops by using a two-way fixed-effects model, which fills the gap in the research on the impact mechanism of the rural population aging on agricultural planting structure. The conclusions of the study show that: as the aging of the rural population deepens, the proportion of food crops planted will further increase, while the proportion of cash crops planted will decrease; agricultural mechanization will promote the further increase of the proportion of food crops planted while the proportion of cash crops planted will decrease in the deepening of the aging of rural population; the aging of the rural population has a more significant impact on the structure of agricultural planting in the eastern region and does not have a significant impact on the central and western provinces. The aging of the rural population has a significant impact on the agricultural planting structure in the eastern region, but not in the central and western provinces. This paper argues that we should fully respect the willingness of agricultural management subjects to choose planting varieties, increase the research, development, and promotion of agricultural machinery, continuously improve the level of farmers’ human capital, and further enhance the degree of organization, scale, and specialization of agricultural production.

show abstract

Develop agricultural planting structure prediction model based on machine learning: The aging of the population has prompted a shift in the planting structure toward food crops

Guo,

Huang,

Huang

et al. 2024

Computers and Electronics in Agriculture

View full text Add to dashboard Cite

Changes of cropping structure lead diversity decline in China during 1985–2015

Cited by 11 publications

References 45 publications

Analysis of the impact of farm machinery outsourcing services on farmers’ cropping structure and grain production: an empirical evidence from Henan Province, China

Analysis of the impact of farm machinery outsourcing services on farmers’ cropping structure and grain production: an empirical evidence from Henan Province, China

The Impact of Rural Population Aging on Agricultural Cropping Structure: Evidence from China’s Provinces

Develop agricultural planting structure prediction model based on machine learning: The aging of the population has prompted a shift in the planting structure toward food crops

Contact Info

Product

Resources

About