Improved estimation model and empirical analysis of relationship between agricultural mechanization level and labor demand
Keywords:
agricultural mechanization level, planting industry, labor demand, estimation model, data acquisition, crop productionAbstract
The research on the relationship between mechanization level in planting industry and labor demand was carried out based on the present literatures. The former estimation model of labor demand in planting industry was established without analyzing the effects of planting structure on labor demand in planting industry. The purpose of the research is to develop and perfect the theory of estimating both labor demand and rural surplus labor in planting industry, then to provide some theoretical references for scientific estimation. The model established in this research can be used to calculate not only the amount of current labor demand, but also the demand in the various moment of future according to forecasted mechanization level and cultivated areas. Furthermore, it was explored how to obtain the indexes of cultivated areas, mechanization level and the average cultivated area that each labor can burden when the mechanization level is 0 and 100%. According to statistics principle, the methods of inspection to eliminate abnormal data and data processing were given in order to make the data more credible. Finally, an example was presented for demonstration purposes. Keywords: agricultural mechanization level, planting industry, labor demand, estimation model, data acquisition, crop production DOI: 10.3965/j.ijabe.20160902.2188 Citation: Wang F L, Zhao S X, Fu X M. Improved estimation model and empirical analysis of relationship between agricultural mechanization level and labor demand. Int J Agric & Biol Eng, 2016; 9(2): 48-53.References
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[2] Hone N. The research on transfer employment of rural surplus labor force in the process of the new-type urbanization. International Journal of Paediatric Dentistry, 2010; 20(3): 201–206.
[3] Ren J, Zhang G. Analysis of the Employment of Rural Surplus Labor Force in Cities. Agricultural Science & Technology & Equipment, 2014; 21(3): 24–29.
[4] Zhang D P, Shi G D, Chen J G. Agricultural mechanization’s effect on agricultural labor surplus. Transactions of the Chinese Society of Agricultural Machinery, 1996; 27(4): 1–6. (in Chinese with English abstract)
[5] Lambeth R M. Scabbing the Palouse: agricultural labor replacement and union busting in southeast Washington, 1917–1919. Labor History, 2015; 56(4): 1–20.
[6] Lou J, Zhu H J, Han L J. Relationship between agricultural labor transfer and mechanization. System Sciences and Comprehensive Studies in Agriculture, 2006; 22(1): 66–69. (in Chinese with English abstract)
[7] Dong Q, Murakami T, Nakashima Y. The Recalculation of the agricultural labor forces in China. Social Science Research Network, 2015. Available at SSRN: http://ssrn.com/ abstract=2630513 or http://dx.doi.org/10.2139/ssrn.2630513
[8] Juhn C, Potter S. Changes in Labor Force Participation in the United States. Journal of Economic Perspectives, 2006; 20(3): 27–46.
[9] Chen H. Explore of the new path of the rural surplus labor transfering. Transfusion Medicine Reviews, 2015; 34(4): S285–S286.
[10] Suo R X, Wang F L, Sun Xu. Study on labor-days method of estimation rural surplus labor force analysis and improvement. Mathematics in Practice and Theory, 2011; 41(3): 108–112. (in Chinese with English abstract)
[11] Chaozhou L U, Luo Y. The estimation methods for agricultural surplus labor based on stochastic Fourier production function. Asian Agricultural Research, 2014; 6: 41–48.
[12] Miao W W, Zhang L X, Guo L N. Surplus labor estimation of agricultural sector based on view of Marx's Necessary Labor and Surplus Labor. Journal of Anhui Agricultural Sciences, 2014. (in Chinese with English abstract)
[13] Wu Q J, Yang Y L, Yang D. A study on the mathematical model of rural surplus labor. Commercial Modernization, 2006; 489: 25–26.
[14] Pham Q D, Vo H H. Measurement of Surplus Labor in Viet Nam Agriculture. Journal of Mathematics and System Science, 2014; 2: 105–110.
[15] Wang F L, Suo R X, Zhang L, Cang L. Study on the relationships between plant industry mechanization extent and the demand for labor. Transactions of the CSAE, 2010; 26(9): 181–184. (in Chinese with English abstract)
[16] Yu Y T. Agricultural Mechanization Engineering. China Outlook Press, Beijing, 1987. (in Chinese)
[17] Ameyaw E E, Hu Y, Shan M, et al. Application of Delphi method in construction engineering and management research: a quantitative perspective. Journal of Civil Engineering & Management, 2016; 42(2): 1–10.
[18] Rice J A. Mathematical Statistics and Data Analysis. USA: Duxbury Resource Center, 2006.
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Published
2016-03-31
How to Cite
Fulin, W., Shengxue, Z., & Xiaoming, F. (2016). Improved estimation model and empirical analysis of relationship between agricultural mechanization level and labor demand. International Journal of Agricultural and Biological Engineering, 9(2), 48–53. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/2188
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Power and Machinery Systems
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