IDEAS home Printed from https://ideas.repec.org/a/scn/cememm/v55y2019i4p104-116.html
   My bibliography  Save this article

Непараметрическая Граница Производственных Возможностей В Вычислимой Модели Частичного Равновесия

Author

Listed:
  • Светлов Н.М.

Abstract

ЦЭМИ РАН, Москва; E-mail: nikolai.svetlov@gmail.com Аннотация. Создана вычислимая экономико-математическая модель частичного равновесия, в которой функции предложения рассчитываются непосредственно в ходе ее решения на основе данных о непараметрических границах производственных возможностей поставщиков. В отличие от обычных моделей частичного равновесия, модель такого типа не сталкивается с трудностями определения параметров функций предложения, повышает объективность и достоверность результатов моделирования. Она позволяет исследовать влияние на рынки изменений в объемах ресурсов, технологиях производства, климатических условиях, причем не требуется вводить предположения о влиянии указанных изменений на функцию предложения, проверка которых трудна и не всегда возможна. Удовлетворительные вычислительные свойства модели достигаются при помощи представления непараметрической границы производственных возможностей в форме системы неравенств, построенной в соответствии с теорией двойственности, в отличие от традиционной формы в виде задачи линейного программирования. Приводятся результаты применения разработанной модели для анализа изменения цен на рынках скота и птицы, молока и зерна в субъектах Российской Федерации в границах 2013 г. (с учетом транспортных связей между ними, природно-сельскохозяйственного зонирования и фактора случайности) в случае частичного задействования существующих резервов улучшения территориально-отраслевой структуры сельского хозяйства России.

Suggested Citation

  • Светлов Н.М., 2019. "Непараметрическая Граница Производственных Возможностей В Вычислимой Модели Частичного Равновесия," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(4), pages 104-116, октябрь.
    • Handle: RePEc:scn:cememm:v:55:y:2019:i:4:p:104-116
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. William A. Kerr & James D. Gaisford (ed.), 2007. "Handbook on International Trade Policy," Books, Edward Elgar Publishing, number 3521.
    2. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    3. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. A. P. Zinchenko, 2017. "Studying the problems of economic reproduction in agriculture of Russia," Studies on Russian Economic Development, Springer, vol. 28(2), pages 140-146, March.
    6. N. M. Svetlov & S. O. Siptits & I. A. Romanenko & N. E. Evdokimova, 2019. "The Effect of Climate Change on the Location of Branches of Agriculture in Russia," Studies on Russian Economic Development, Springer, vol. 30(4), pages 406-418, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    2. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    3. Baris Yilmaz & Mehmet Yurdusev & Nilgun Harmancioglu, 2009. "The Assessment of Irrigation Efficiency in Buyuk Menderes Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1081-1095, April.
    4. Finn Førsund, 2013. "Weight restrictions in DEA: misplaced emphasis?," Journal of Productivity Analysis, Springer, vol. 40(3), pages 271-283, December.
    5. Zhimin Huang & Waiman Cheung & Huiwen Wang, 2006. "Cone dominance and efficiency in DEA," Annals of Operations Research, Springer, vol. 145(1), pages 89-103, July.
    6. Kaoru Tone, 2001. "On Returns to Scale under Weight Restrictions in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 16(1), pages 31-47, July.
    7. Amy H. I. Lee & Chun Yu Lin & He-Yau Kang & Wen Hsin Lee, 2012. "An Integrated Performance Evaluation Model for the Photovoltaics Industry," Energies, MDPI, vol. 5(4), pages 1-21, April.
    8. Francisco Pedraja & Javier Salinas & Peter Smith, 1994. "La restricción de las ponderaciones en el análisis envolvente de datos: una fórmula para mejorar la evaluación de la eficiencia," Investigaciones Economicas, Fundación SEPI, vol. 18(2), pages 365-380, May.
    9. E. Thanassoulis & R. Allen, 1998. "Simulating Weights Restrictions in Data Envelopment Analysis by Means of Unobserved DMUs," Management Science, INFORMS, vol. 44(4), pages 586-594, April.
    10. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    11. Francisco Pedraja-Chaparro & Javier Salinas-Jimenez & Peter Smith, 1997. "On the Role of Weight Restrictions in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 8(2), pages 215-230, May.
    12. Yang, J.B. & Wong, B.Y.H. & Xu, D.L. & Liu, X.B. & Steuer, R.E., 2010. "Integrated bank performance assessment and management planning using hybrid minimax reference point - DEA approach," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1506-1518, December.
    13. Olesen, O. B. & Petersen, N. C., 1995. "Incorporating quality into data envelopment analysis: a stochastic dominance approach," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 117-135, April.
    14. Ole Olesen & Niels Petersen, 1999. "Probabilistic Bounds on the Virtual Multipliers in Data Envelopment Analysis: Polyhedral Cone Constraints," Journal of Productivity Analysis, Springer, vol. 12(2), pages 103-133, September.
    15. Javier Salinas-Jimenez & Peter Smith, 1994. "Data envelopment analysis applied to quality in primary health care," Working Papers 124chedp, Centre for Health Economics, University of York.
    16. Liesiö, Juuso & Andelmin, Juho & Salo, Ahti, 2020. "Efficient allocation of resources to a portfolio of decision making units," European Journal of Operational Research, Elsevier, vol. 286(2), pages 619-636.
    17. Maarit Kallio & Markku Kallio, 2002. "Nonparametric Methods for Evaluating Economic Efficiency and Imperfect Competition," Journal of Productivity Analysis, Springer, vol. 18(2), pages 171-189, September.
    18. Jie Wu & Zhixiang Zhou, 2015. "A mixed-objective integer DEA model," Annals of Operations Research, Springer, vol. 228(1), pages 81-95, May.
    19. Perrigot, Rozenn & Barros, Carlos Pestana, 2008. "Technical efficiency of French retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 15(4), pages 296-305.
    20. Arman Kösedağ & Meltem Denizel & Öznur Özdemir, 2009. "Testing for convergence in bank efficiency: a cross-country analysis," The Service Industries Journal, Taylor & Francis Journals, vol. 31(9), pages 1533-1547, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:scn:cememm:v:55:y:2019:i:4:p:104-116. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sergei Parinov (email available below). General contact details of provider: http://www.cemi.rssi.ru/emm/home.htm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.