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土地细碎化是否阻碍甘蔗种植机械化发展?

王水连1,2 辛贤1

(1.中国农业大学国家农业农村发展研究院)
(2.中国农业大学经济管理学院)

【摘要】土地细碎化一般被视为阻碍农业机械化发展的重要因素, 而随着农业技术进步和经济发展, 土地细碎化对农业机械化的影响越发复杂。本文使用2015年农户微观调查数据, 利用参数和半参数方法分析了土地细碎化对甘蔗种植机械化的影响。研究结果表明:总体上, 土地细碎化对甘蔗种植机械化具有负向影响, 但只有在土地细碎化程度较高时这种影响才较为显著;土地细碎化对部分机械化种植方式不具有阻碍作用;不同土地细碎化程度对机械化种植方式的影响存在差异;农户平均地块面积在5~10亩之间时, 平地地块所占比重和农业劳动力比重是造成全程机械化种植方式与其他种植方式有所区别的重要因素。本文研究结论说明, 中国在甘蔗种植中应结合土地细碎化的特点, 配套不同机型, 发展多样化的甘蔗机械化种植方式, 以实现资源的优化配置。

【关键词】 土地细碎化;农业机械化;甘蔗;离散选择模型;

【DOI】

Does land fragmentation hinder the development of mechanized sugarcane planting?

WANG Shuilian1,2 XIN Xian1

(1.Institute of National Agricultural and Rural Development, China Agricultural University)
(2.College of Economics and management, China Agricultural University)

【Abstract】Land fragmentation has generally been regarded as a substantial factor to affect agricultural mechanization. With technical progress in agriculture, however, the relationships between land fragmentation and agricultural mechanization become more complicated. This article uses micro-survey data in 2015 and parameter and semi-parameter models to study the effects of land fragmentation on sugarcane planting mechanization. The results overall indicate a negative correlation between land fragmentation and mechanization of sugarcane cultivation, and this correlation becomes significant when the degree of land fragmentation is high. On some patterns of production mechanization, however, no hindering effect can be found. Besides, different degrees of land fragmentation imply different effects on the patterns of planting mechanization. Furthermore, the proportions of the average parcel area and agricultural labor force are found to be important factors inducing the differences in the patterns of production mechanization when the average parcel area ranges from 5 mu to 10 mu. Finally, the study suggests that, in order to achieve the optimal allocation of resources, the characteristics of land fragmentation should be taken into consideration in the development of a variety of patterns of sugarcane production mechanization with different types of machines.

【Keywords】 land fragmentation; agricultural mechanization; sugarcane; discrete choice model;

【DOI】

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    Footnote

    [1]. ① The equation to calculate S index is as follows:, wherein, aj is the size of land fragment j; A is the farm size, and A = ∑aj. The value of S is between 0 and 1. [^Back]

    [2]. ① Due to the limitation of the number of pages, detailed results are not presented here. Should the reader be interested, please send the request to the authors. [^Back]

    [3]. ① Due to the limitation of the number of pages, detailed results are not presented here. Should the reader be interested, please send the request to the authors. [^Back]

    References

    1. Huang, Z., Wang, J. & Chen, Z. Chinese Rural Economy (中国农村经济), (11) (2014).

    2. Hou, F. China Rural Survey (中国农村观察), (5) (2008).

    3. Binswanger, H. Agricultural Mechanization: Issues and Options. Editing Committee of Chinese Society for Agricultural Machinery (trans.) Beijing: China Financial & Economic Publishing House, (1989).

    4. Luo, X. Studies of Mechanized Agricultural Production (Volume B) (农业机械化生产学(下)). Beijing: China Agriculture Press, (2002).

    5. Wang, X. & Su, X. Journal of Agrotechnical Economics (农业技术经济), (2) (2002).

    6. Greene, W. H. Econometric Analysis (Volume B). Fei, J. (trans.) Beijing: China Renmin University, (2007).

    7. Xu, Q., Tian, S. & Xu, Z. Economic Research Journal (经济研究), (2) (2008).

    8. Ye, H. Contemporary Farm Machinery (当代农机), (7) (2013).

    9. Mill, J. Principles of Political Economy with some of their Applications to Social Philosophy (Volume A). Zhao, R. et al. (trans.) Beijing: The Commercial Press, (2005).

    10. Blarel, B., P. Hazell, F. Place, and J. Quiggin, 1992, “The Economics of Farm Fragmentation: Evidence from Ghana and Rwanda,” The World Bank Economic Review, 6 (2): 233–254.

    11. Christensen, P. P., 1981, “Land Abundance and Cheap Horsepower in the Mechanization of the Antebellum United States Economy,” Explorations in Economic History, 18 (4): 309–313.

    12. Durrleman, S., and R. Simon, 1989, “Flexible Regression Models with Cubic Splines,” Statistics in Medicine, 8 (5): 551–561.

    13. Desquilbet, L., and F. Mariotti, 2010, “Dose-response Analyses Using Restricted Cubic Spline Functions in Public Health Research,” Statistics in Medicine, 29 (9): 1037–1057.

    14. Nguyen, T., E. Cheng, and C. Findlay, 1996, “Land Fragmentation and Farm Productivity in China in the1990s,” China Economic Review, 7 (2): 169–180.

    15. Parikh, A., and K. Shah, 1994, “Measurement of Technical Efficiency in the North-west Frontier Province of Pakistan,” Journal of Agricultural Economics, 45 (1): 132–138.

    16. Steyerberg, E. W., 2016, “Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis,” Biometrics, 72 (3): 1006–1007.

    17. Singh, J., A. K. Singh, M. P. Sharma, P. R. Singh, and A. C. Srivastava, 2011, “Mechanization of Sugarcane Cultivation in India,” Sugar Tech, 13 (4): 310–314.

    18. Sargent, F. O., 1952, “Fragmentation of French Land: Its Nature, Extent, and Causes,” Land Economics, 28 (3): 218–229.

    19. Tchale, H., 2009, “The Efficiency of Smallholder Agriculture in Malawi,” African Journal of Agricultural and Resource Economics, 3 (2): 101–121.

This Article

ISSN:1002-8870

CN:11-1262/F

Vol , No. 02, Pages 16-29

February 2017

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Article Outline

Abstract

  • 1 Introduction and literature review
  • 2 Mechanism of land fragmentation affecting mechanized sugarcane planting
  • 3 Research methods
  • 4 Descriptions of data and variables
  • 5 Quantitative analysis and discussions
  • 6 Conclusion
  • Footnote

    References