Non-Parameter Comparative Study on the Three Main Oil Crops Plant Efficiency

Xian Liang Wang; Jie Lv; Yue Yang; Li Qun Ge

doi:10.4028/www.scientific.net/AMR.459.257

Paper Titles

Based on the Method of Fuzzy Clustering Analysis of the Smartphone Product Market
p.238

Significance of Clinicopathology and Expression of Heat Shock Protein 72 in Human Primary Lung Carcinomas
p.242

Evaluation Implementation for Accessibility of Urban Public Green Space Based on ArcGIS Engine
p.247

Study on Experimental Simulation of Rocks under Hydraulic Fracturing
p.252

Non-Parameter Comparative Study on the Three Main Oil Crops Plant Efficiency
p.257

Study of Trivariate Pseudoframes and Subspace Frames and their Applications in Solid-State Physics
p.262

Parallel Machine Tardiness Scheduling Based on Improved Discrete Differential Evolution
p.266

The Characters of Multiple Tight Multivariate Wavelet Frames and Application in Quantum Physics
p.271

Design of CAN-Bus Based Yarn Feeding Control System for Carpet Tufting Machine
p.275

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 459Non-Parameter Comparative Study on the Three Main...

Non-Parameter Comparative Study on the Three Main Oil Crops Plant Efficiency

Abstract:

The study was made on three main oil crops, soybean, peanut and rapeseed to analyze the plant efficiency based on a non-parameter method of E-DEA model. The result showed that peanut has the highest comprehensive plant efficiency of the three main oil crops. So the peanut acreage should be extended wherever is feasible. Among all kinds of plant efficiency of peanut, its seed productivity is the lowest but the efficiency value doesn’t require much improvement. Therefore, the peanut seed subsidies and relevant research activities should be strengthened

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 459)

Pages:

257-261

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.459.257

Citation:

Cite this paper

Online since:

January 2012

Authors:

Xian Liang Wang, Jie Lv, Yue Yang, Li Qun Ge

Keywords:

E-DEA, Non-Parameter Comparative, Oil Crops, Plant Efficiency

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Charnes A, Cooper W W, Li S. Using Data Envelopment Analysis to Evaluate Efficiency in the Economic Performance of Chinese Cities. J. Socio-Economic Planning Science, 1989(6): 325-344.

DOI: 10.1016/0038-0121(89)90001-3

Google Scholar

[2] Cooper W W, Seiford LM, Thanassoulis E, Zanakis S H. DEA and its Uses in DifferentCountries. J. European Journal of Operational Research, 2004(2): 526-532.

DOI: 10.1016/s0377-2217(03)00173-5

Google Scholar

[3] Viet-Ngu Hoang, Mohammad Alauddin. Input-Orientated Data Envelopment Analysis Framework for Measuring and Decomposing Economic, Environmental and Ecological Efﬁciency: An Application to OECD Agriculture J. Environ Resource Econ, 2011(8).

DOI: 10.1007/s10640-011-9506-6

Google Scholar

[4] Josef Jablonsky. Multicriteria approaches for ranking of efﬁcient units in DEA models. J. CEJOR, 2011(6).

Google Scholar

[5] Ren dingfang, Agricultural productivity indicator's assessment and study. J. Northwest university journal, 1982(3): 29-35.

Google Scholar

[6] Yu jianbin, Li dasheng. Technical efficiency of China's agricultural production influence factors analysis. J. Statistics and Decision, 2008(14): 83-86.

Google Scholar

[7] Ma zhanxin, Liu rong. One non-parameters for regional economic efficiency evaluation method. J. Statistics and Decision, 2009(10): 18-20.

Google Scholar

[8] Du wenjie. China's Agricultural Reform, Technical Efficiency and Decomposition of Productivity Change. M, (2010).

Google Scholar

[9] Liu wanli, Xu kunpeng. Research on the Chinese Farmers' Production Efficiency. J. Technoeconomics & Management Research, 2011(1): 125: 128.

Google Scholar

[10] He zhengchu, Evaluation of Resource-saving and Environment-friendly Oriented Agricultural Productivity in Hunan Province Based on Data Envelopment Analysis (DEA). J. Research of Agricultural Modernization, 2011(5): 344-347.

Google Scholar