Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China
The corn production cost (CPC) in China is related to national food security. However, there are few studies on the temporal and regional differences (TRD) and sensitive factors in the CPC. In this paper, the TRD of the corn production cost across various regions, as well as over the entirety of the...
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MDPI AG
2022-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/3/1202 |
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| author | Shumiao Ouyang Jie Hu Minli Yang Mingyin Yao Jinlong Lin |
| author_facet | Shumiao Ouyang Jie Hu Minli Yang Mingyin Yao Jinlong Lin |
| author_sort | Shumiao Ouyang |
| collection | DOAJ |
| description | The corn production cost (CPC) in China is related to national food security. However, there are few studies on the temporal and regional differences (TRD) and sensitive factors in the CPC. In this paper, the TRD of the corn production cost across various regions, as well as over the entirety of the country from 2008 to 2018, is presented. It is based on the GIS exploratory spatial data analysis method (ESDA). Simultaneously, a spatial panel model is established to conduct an empirical analysis of the main factors affecting the CPC. The results from the period in question show that the CPC in China and the three major production regions present a fluctuating growth trend, mainly associated with the increase in labor prices. Moreover, the CPC exhibits significant spatial differences, and demonstrates an overall trend of gradual increase from the east to the west. Over time, the number of relatively high-cost provinces has increased. All are located in southern mountainous and hilly corn areas. In addition, the CPCs of various regions are spatially correlated. Factors such as the scale of land management, the degree of mechanization, and socioeconomic conditions have a significantly negative impact on the CPC in China. Furthermore, the labor structure has a notably positive impact on the CPC. |
| first_indexed | 2024-03-10T00:15:22Z |
| format | Article |
| id | doaj.art-d329a07373cf4f80a4786ad8d256e5f1 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:15:22Z |
| publishDate | 2022-01-01 |
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| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d329a07373cf4f80a4786ad8d256e5f12023-11-23T15:53:37ZengMDPI AGApplied Sciences2076-34172022-01-01123120210.3390/app12031202Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in ChinaShumiao Ouyang0Jie Hu1Minli Yang2Mingyin Yao3Jinlong Lin4College of Engineering, Jiangxi Agricultural University, Nanchang 330045, ChinaCollege of Engineering, Jiangxi Agricultural University, Nanchang 330045, ChinaCollege of Engineering, China Agricultural University, Beijing 100083, ChinaCollege of Engineering, Jiangxi Agricultural University, Nanchang 330045, ChinaCollege of Engineering, Jiangxi Agricultural University, Nanchang 330045, ChinaThe corn production cost (CPC) in China is related to national food security. However, there are few studies on the temporal and regional differences (TRD) and sensitive factors in the CPC. In this paper, the TRD of the corn production cost across various regions, as well as over the entirety of the country from 2008 to 2018, is presented. It is based on the GIS exploratory spatial data analysis method (ESDA). Simultaneously, a spatial panel model is established to conduct an empirical analysis of the main factors affecting the CPC. The results from the period in question show that the CPC in China and the three major production regions present a fluctuating growth trend, mainly associated with the increase in labor prices. Moreover, the CPC exhibits significant spatial differences, and demonstrates an overall trend of gradual increase from the east to the west. Over time, the number of relatively high-cost provinces has increased. All are located in southern mountainous and hilly corn areas. In addition, the CPCs of various regions are spatially correlated. Factors such as the scale of land management, the degree of mechanization, and socioeconomic conditions have a significantly negative impact on the CPC in China. Furthermore, the labor structure has a notably positive impact on the CPC.https://www.mdpi.com/2076-3417/12/3/1202corn production costtemporal and regional differencessensitive factorsspatial panel model |
| spellingShingle | Shumiao Ouyang Jie Hu Minli Yang Mingyin Yao Jinlong Lin Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China Applied Sciences corn production cost temporal and regional differences sensitive factors spatial panel model |
| title | Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China |
| title_full | Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China |
| title_fullStr | Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China |
| title_full_unstemmed | Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China |
| title_short | Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China |
| title_sort | temporal and regional differences and empirical analysis on sensitive factors of the corn production cost in china |
| topic | corn production cost temporal and regional differences sensitive factors spatial panel model |
| url | https://www.mdpi.com/2076-3417/12/3/1202 |
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