Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China

Yuanhe Yu, Jinkuo Lin, Peixiang Zhou (), Shuwei Zheng and Zijun Li ()
Additional contact information
Yuanhe Yu: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Jinkuo Lin: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Peixiang Zhou: School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China
Shuwei Zheng: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Zijun Li: College of Geography and Environment, Shandong Normal University, Jinan 250358, China

IJERPH, 2022, vol. 19, issue 22, 1-21

Abstract: Analyzing cultivated land input behavior (CLIB) at the scale of rural households links with cultivated land-use efficiency (CLUE), this study examined the Yimeng Mountain area in northern China, supported by field survey data from 737 rural households. This research systematically analyzed the characteristics of CLIB of different types of rural households, measured the CLUE of different types of rural households by using a data envelopment analysis (DEA) model, and explored the influence of CLIB on CLUE based on the Tobit regression model. The results show (1) significant differences in the characteristics of the CLIB of different types of rural households in the Yimeng Mountain area. Among them, the highest land, labor, and capital inputs were I part-time rural households ( I PTRH ), followed by full-time rural households ( FTRH ). In contrast, II part-time rural households ( II PTRH ) and non-agricultural rural households ( NARH ) had higher levels of non-agricultural employment; however, their input levels gradually declined. (2) The CLUE of the sample rural households was generally low and had considerable potential for improvement. Regarding the types of rural households, as the degree of part-time employment increased, the CLUE showed an inverted U-shaped trend of first increased and then decreased, namely, I PTRH > FTRH > II PTRH > NARH . This finding indicates that appropriate part-time employment could help to promote investment in agricultural production and improve the CLUE. (3) The CLIB of rural households had significant effects on CLUE; the literacy of the agricultural labor force, yield-increasing input per unit area, per capita household income, share of agricultural income, operation scale of cultivated land, effective irrigation rate of cultivated land, and soil and water conservation rate of cultivated land had positive effects on improving CLUE. Even so, there was still significant heterogeneity in the degree of influence of different rural household types. The study concluded with some policy recommendations from the perspective of different rural household types to provide references for optimizing farming inputs and improving CLUE.

Keywords: cultivated land input behavior; cultivated land-use efficiency; different types of rural households; data envelopment analysis; Tobit regression model; Yimeng Mountain area (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/22/14870/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/22/14870/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:22:p:14870-:d:970357

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().