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Testing for Intermediate Outputs in Dynamic DEA Models: Accounting for Soil Capital in Rotational Crop Production and Productivity Measures

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  • Edward Jaenicke

Abstract

Inagricultural production, a stylized fact known as the rotationeffect says crop rotations generate higher yields or productivitythan identical crops grown in isolated monocultures. This paperdevelops a dynamic data envelopment analysis (DEA) model of cropproduction that accounts for the rotation effect. The model isapplied to data from an experimental farm in Pennsylvania toinvestigate the role soil capital plays in observed productivitygrowth and the rotation effect. Copyright Kluwer Academic Publishers 2000

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  • Edward Jaenicke, 2000. "Testing for Intermediate Outputs in Dynamic DEA Models: Accounting for Soil Capital in Rotational Crop Production and Productivity Measures," Journal of Productivity Analysis, Springer, vol. 14(3), pages 247-266, November.
    • Handle: RePEc:kap:jproda:v:14:y:2000:i:3:p:247-266
    DOI: 10.1023/A:1026503104672
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    Cited by:

    1. Kao, Chiang, 2013. "Dynamic data envelopment analysis: A relational analysis," European Journal of Operational Research, Elsevier, vol. 227(2), pages 325-330.
    2. David A. Hennessy, 2006. "On Monoculture and the Structure of Crop Rotations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 900-914.
    3. Halkos, George & Tzeremes, Nickolaos & Kourtzidis, Stavros, 2011. "The use of supply chain DEA models in operations management: A survey," MPRA Paper 31846, University Library of Munich, Germany.
    4. Hagos, Hosaena Ghebru & Holden, Stein, 2013. "Efficiency and productivity differential effects of land certification program in Ethiopia : Quasi-experimental evidence from Tigray:," IFPRI discussion papers 1295, International Food Policy Research Institute (IFPRI).
    5. Angelo Zago, 2004. "Quality Production and Quality Indicators in Intermediate Products," Working Papers 16/2004, University of Verona, Department of Economics.
    6. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    7. Frederic Ang & Pieter Jan Kerstens, 2016. "To Mix or Specialise? A Coordination Productivity Indicator for English and Welsh farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 779-798, September.
    8. W. Briec & K. Kerstens, 2009. "Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator," Journal of Optimization Theory and Applications, Springer, vol. 141(1), pages 55-73, April.
    9. Briec, Walter & Comes, Christine & Kerstens, Kristiaan, 2006. "Temporal technical and profit efficiency measurement: Definitions, duality and aggregation results," International Journal of Production Economics, Elsevier, vol. 103(1), pages 48-63, September.
    10. Jiro Nemoto & Mika Goto, 2003. "Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 191-210, April.
    11. Wang, Mei-Hui & Huang, Tai-Hsin, 2007. "A study on the persistence of Farrell's efficiency measure under a dynamic framework," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1302-1316, August.
    12. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    13. Wei-Kang Wang & Irene Wei Kiong Ting & Kuo-Cheng Kuo & Qian Long Kweh & Yan-Heng Lin, 2018. "Corporate diversification and efficiency: evidence from Taiwanese top 100 manufacturing firms," Operational Research, Springer, vol. 18(1), pages 187-203, April.
    14. Kao, Chiang, 2014. "Efficiency decomposition for general multi-stage systems in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 232(1), pages 117-124.
    15. Nelson Amowine & Zhiqiang Ma & Mingxing Li & Zhixiang Zhou & Benjamin Azembila Asunka & James Amowine, 2019. "Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach," Energies, MDPI, vol. 12(20), pages 1-17, October.
    16. Ghebru, Hosaena & Holden, Stein T., 2015. "Technical Efficiency and Productivity Differential Effects of Land Right Certification: A Quasi-Experimental Evidence," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 54(1), pages 1-31, February.
    17. Brady, Mark & Hedlund, Katarina & Cong, Rong-Gang & Hemerik, Lia & Hotes, Stefan & Machado, Stephen & Mattsson, Lennart & Schulz, Elke & Thomsen, Ingrid K., 2015. "Valuing Supporting Soil Ecosystem Services in Agriculture: a Natural Capital Approach," MPRA Paper 112303, University Library of Munich, Germany.
    18. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    19. Ching-Cheng Lu & Liang-Chun Lu, 2019. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis," Energy & Environment, , vol. 30(1), pages 27-43, February.
    20. Chang, Young-Tae & (Kevin) Park, Hyosoo & Zou, Bo & Kafle, Nabin, 2016. "Passenger facility charge vs. airport improvement program funds: A dynamic network DEA analysis for U.S. airport financing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 76-93.
    21. Dan Wu & Ching-Cheng Lu & Xiang Chen & Pei-Chieh Tu & An-Chi Yang & Chih-Yu Yang, 2021. "Evaluating the Dynamic Energy Production Efficiency in APEC Economies," Energies, MDPI, vol. 14(14), pages 1-20, July.
    22. Omrani, Hashem & Soltanzadeh, Elham, 2016. "Dynamic DEA models with network structure: An application for Iranian airlines," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 52-61.
    23. Samira Foladi & Maghsud Solimanpur & Mustafa Jahangoshai Rezaee, 2020. "Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 323-347, February.

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