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Michael Vardanyan

Personal Details

First Name:Michael
Middle Name:
Last Name:Vardanyan
Suffix:
RePEc Short-ID:pva522
[This author has chosen not to make the email address public]

Affiliation

(50%) Lille Économie et Management (LEM)

Lille, France
http://lem.univ-lille.fr/
RePEc:edi:laborfr (more details at EDIRC)

(50%) IESEG School of Management
Université Catholique de Lille

Lille, France
http://www.ieseg.fr/
RePEc:edi:iesegfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kangyin Dong & Qingzhe Jiang & Yang Liu & Zhiyang Shen & Michael Vardanyan, 2024. "Is energy aid allocated fairly? A global energy vulnerability perspective," Post-Print hal-04277505, HAL.
  2. Jiandong Chen & Yuqing Li & Yiyin Xu & Michael Vardanyan & Zhiyang Shen & Malin Song, 2023. "The impact of fiscal technology expenditures on innovation drive and carbon emissions in China," Post-Print hal-04274714, HAL.
  3. Malin Song & Heting Pan & Michael Vardanyan & Zhiyang Shen, 2023. "Evaluating the energy efficiency-enhancing potential of the digital economy: Evidence from China," Post-Print hal-04277444, HAL.
  4. Jinyang Cai & Huanyu Zheng & Michael Vardanyan & Zhiyang Shen, 2023. "Achieving carbon neutrality through green technological progress: evidence from China," Post-Print hal-03974869, HAL.
  5. Juntao Du & Zhiyang Shen & Malin Song & Michael Vardanyan, 2023. "The role of green financing in facilitating renewable energy transition in China: Perspectives from energy governance, environmental regulation, and market reforms," Post-Print hal-04274754, HAL.
  6. Danyang Di & Guoxiang Li & Zhiyang Shen & Malin Song & Michael Vardanyan, 2023. "Environmental credit constraints and pollution reduction: Evidence from China's blacklisting system for environmental fraud," Post-Print hal-04277540, HAL.
  7. Lianqing Li & Zhiyang Shen & Malin Song & Michael Vardanyan, 2023. "Public Expenditure, Green Finance, and Environmental Governance: Evidence From China," Post-Print hal-04277567, HAL.
  8. Zhiyang Shen & Jingyun Li & Michael Vardanyan & Bo Wang, 2022. "Nonparametric shadow pricing of non-performing loans: a study of the Chinese banking sector," Post-Print hal-03974915, HAL.
  9. Zhiyang Shen & Michael Vardanyan & Tomas Balezentis & Jianlin Wang, 2021. "Analyzing the Tradeoff Between the Economic and Environmental Performance: The Case of the Chinese Manufacturing Sector," Post-Print hal-03593877, HAL.
  10. Jean-Philippe Boussemart & Herve Leleu & Zhiyang Shen & Michael Vardanyan & Ning Zhu, 2019. "Decomposing banking performance into economic and credit risk efficiencies," Post-Print hal-02497996, HAL.
  11. Gary Ferrier & Herve Leleu & Vivian Valdmanis & Michael Vardanyan, 2017. "A directional distance function approach for identifying the input/output status of medical residents," Post-Print hal-01744641, HAL.
  12. Jean-Philippe Boussemart & Hervé Leleu & Zhiyang Shen & Michael Vardanyan & Ning Zhu, 2017. "Decomposing banking performance into economic and risk management efficiencies," Working Papers 2017-EQM-09, IESEG School of Management.
  13. Rolf Färe & Carl Pasurka & Michael Vardanyan, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," Post-Print hal-01744614, HAL.
  14. Rolf Färe & Michael Vardanyan, 2016. "A note on parameterizing input distance functions: does the choice of a functional form matter?," Post-Print hal-01744488, HAL.
  15. R. Fare & C. Martins-Filho & M. Vardanyan, 2010. "On functional form representation of multi-output production technologies," Post-Print hal-00800130, HAL.
  16. Robert G. Chambers & Rolf Färe & Shawna Grosskopf & Michael Vardanyan, 2008. "Generalized Quadratic Revenue Functions," CESifo Working Paper Series 2404, CESifo.

Articles

  1. Dong, Kangyin & Jiang, Qingzhe & Liu, Yang & Shen, Zhiyang & Vardanyan, Michael, 2024. "Is energy aid allocated fairly? A global energy vulnerability perspective," World Development, Elsevier, vol. 173(C).
  2. Cai, Jinyang & Zheng, Huanyu & Vardanyan, Michael & Shen, Zhiyang, 2023. "Achieving carbon neutrality through green technological progress: evidence from China," Energy Policy, Elsevier, vol. 173(C).
  3. Du, Juntao & Shen, Zhiyang & Song, Malin & Vardanyan, Michael, 2023. "The role of green financing in facilitating renewable energy transition in China: Perspectives from energy governance, environmental regulation, and market reforms," Energy Economics, Elsevier, vol. 120(C).
  4. Chen, Jiandong & Li, Yuqing & Xu, Yiyin & Vardanyan, Michael & Shen, Zhiyang & Song, Malin, 2023. "The impact of fiscal technology expenditures on innovation drive and carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  5. Di, Danyang & Li, Guoxiang & Shen, Zhiyang & Song, Malin & Vardanyan, Michael, 2023. "Environmental credit constraints and pollution reduction: Evidence from China's blacklisting system for environmental fraud," Ecological Economics, Elsevier, vol. 210(C).
  6. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
  7. Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang & Vardanyan, Michael & Zhu, Ning, 2019. "Decomposing banking performance into economic and credit risk efficiencies," European Journal of Operational Research, Elsevier, vol. 277(2), pages 719-726.
  8. Gary D. Ferrier & Hervé Leleu & Vivian G. Valdmanis & Michael Vardanyan, 2018. "A directional distance function approach for identifying the input/output status of medical residents," Applied Economics, Taylor & Francis Journals, vol. 50(9), pages 1006-1021, February.
  9. Färe, Rolf & Pasurka, Carl & Vardanyan, Michael, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," European Journal of Operational Research, Elsevier, vol. 262(1), pages 361-369.
  10. Rolf Färe & Michael Vardanyan, 2016. "A note on parameterizing input distance functions: does the choice of a functional form matter?," Journal of Productivity Analysis, Springer, vol. 45(2), pages 121-130, April.
  11. Paolo Guarda & Abdelaziz Rouabah & Michael Vardanyan, 2013. "Identifying bank outputs and inputs with a directional technology distance function," Journal of Productivity Analysis, Springer, vol. 40(2), pages 185-195, October.
  12. Chambers, Robert & Färe, Rolf & Grosskopf, Shawna & Vardanyan, Michael, 2013. "Generalized quadratic revenue functions," Journal of Econometrics, Elsevier, vol. 173(1), pages 11-21.
  13. Rolf Färe & Carlos Martins-Filho & Michael Vardanyan, 2010. "On functional form representation of multi-output production technologies," Journal of Productivity Analysis, Springer, vol. 33(2), pages 81-96, April.
  14. Michael Vardanyan & Victor J. Tremblay, 2006. "The measurement of marketing efficiency in the presence of spillovers: theory and evidence," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 319-331.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jiandong Chen & Yuqing Li & Yiyin Xu & Michael Vardanyan & Zhiyang Shen & Malin Song, 2023. "The impact of fiscal technology expenditures on innovation drive and carbon emissions in China," Post-Print hal-04274714, HAL.

    Cited by:

    1. Huwei Wen & Yutong Liu, 2023. "Can Fintech Lead to the Collaborative Reduction in Pollution Discharges and Carbon Emissions?," Sustainability, MDPI, vol. 15(15), pages 1-19, July.

  2. Jinyang Cai & Huanyu Zheng & Michael Vardanyan & Zhiyang Shen, 2023. "Achieving carbon neutrality through green technological progress: evidence from China," Post-Print hal-03974869, HAL.

    Cited by:

    1. Asif Raihan & Mamunur Rashid & Liton Chandra Voumik & Salma Akter & Miguel Angel Esquivias, 2023. "The Dynamic Impacts of Economic Growth, Financial Globalization, Fossil Fuel, Renewable Energy, and Urbanization on Load Capacity Factor in Mexico," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    2. Juntao Du & Zhiyang Shen & Malin Song & Michael Vardanyan, 2023. "The role of green financing in facilitating renewable energy transition in China: Perspectives from energy governance, environmental regulation, and market reforms," Post-Print hal-04274754, HAL.
    3. Yang Shen & Zhihong Yang, 2023. "Chasing Green: The Synergistic Effect of Industrial Intelligence on Pollution Control and Carbon Reduction and Its Mechanisms," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    4. Shen, Bo & Su, Yan & Yu, Hao & Zhang, Yulin & Lang, Maochun & Yang, He, 2023. "Experimental study on the effect of injection strategies on the combustion and emissions characteristic of gasoline/methanol dual-fuel turbocharged engine under high load," Energy, Elsevier, vol. 282(C).
    5. Ahakwa, Isaac & Xu, Yi & Tackie, Evelyn Agba & Odai, Leslie Afotey & Sarpong, Francis Atta & Korankye, Benard & Ofori, Elvis Kwame, 2023. "Do natural resources and green technological innovation matter in addressing environmental degradation? Evidence from panel models robust to cross-sectional dependence and slope heterogeneity," Resources Policy, Elsevier, vol. 85(PB).
    6. Wenjing Ma & Mingyue Wang, 2023. "Discussion on the Relationship between Environmental Regulation and Green Technology Innovation from the Perspective of Innovation External Cooperation: Evidence from Chinese Private Enterprises," Sustainability, MDPI, vol. 15(23), pages 1-28, November.
    7. Ke Huang & Teng Wang & Jiachao Peng & Lijun Sun, 2023. "The Impact of Export Sophistication of the New Energy Industry on Carbon Emissions: An Empirical Study," Energies, MDPI, vol. 16(9), pages 1-15, April.
    8. Erdong Zhao & Jianmin Chen & Junmei Lan & Liwei Liu, 2024. "Power Generation Mix Optimization under Auction Mechanism for Carbon Emission Rights," Energies, MDPI, vol. 17(3), pages 1-24, January.
    9. Alaa Salma & Lydia Fryda & Hayet Djelal, 2024. "Biochar: A Key Player in Carbon Credits and Climate Mitigation," Resources, MDPI, vol. 13(2), pages 1-13, February.
    10. Lin Wang & Yugang He & Renhong Wu, 2024. "Digitization Meets Energy Transition: Shaping the Future of Environmental Sustainability," Energies, MDPI, vol. 17(4), pages 1-25, February.

  3. Juntao Du & Zhiyang Shen & Malin Song & Michael Vardanyan, 2023. "The role of green financing in facilitating renewable energy transition in China: Perspectives from energy governance, environmental regulation, and market reforms," Post-Print hal-04274754, HAL.

    Cited by:

    1. Zhao, Qian & Qin, Chuan & Ding, Longfei & Cheng, Ying-Yue & Vătavu, Sorana, 2023. "Can green bond improve the investment efficiency of renewable energy?," Energy Economics, Elsevier, vol. 127(PB).
    2. Chunrong Yan & Xintian Xiang & Liping Li & Guoxiang Li, 2023. "Environmental Credit Constraints and the Enterprise Choice of Environmental Protection Behavior," Sustainability, MDPI, vol. 15(24), pages 1-24, December.
    3. Shangram Bahadur Shah & Jirakiattikul Sopin & Kua-Anan Techato & Bibek Kumar Mudbhari, 2023. "A Systematic Review on Nexus Between Green Finance and Climate Change: Evidence from China and India," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 599-613, July.
    4. Jinyu Chen & Yan Yang & Ran Liu & Yuan Geng & Xiaohang Ren, 2023. "Green bond issuance and corporate ESG performance: the perspective of internal attention and external supervision," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    5. Sohail Ahmad Javeed & Rashid Latief & Umair Akram, 2023. "The Effects of Board Capital on Green Innovation to Improve Green Total Factor Productivity," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    6. Wang, Qiang & Wang, Lili & Li, Rongrong, 2023. "Could trade protectionism reshape the nexus of energy-economy-environment? Insight from different income groups," Resources Policy, Elsevier, vol. 85(PA).
    7. Chunhong Liu & Shisong Jiang & Hanfei Zhang & Ziyi Lu & Umberto Desideri, 2024. "China and Italy’s Energy Development Trajectories: Current Landscapes and Future Cooperation Potential," Energies, MDPI, vol. 17(4), pages 1-18, February.
    8. Wenqing Zhang & Jingrong Dong, 2023. "The Polarization Effect and Mechanism of China’s Green Finance Policy on Green Technology Innovation," Sustainability, MDPI, vol. 15(13), pages 1-26, June.
    9. Muhammad Fikry Aransyah, 2023. "How Effective is the Green Financing Framework for Renewable Energy? A Case Study of PT Pertamina Geothermal Energy in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 165-170, September.
    10. George Ekonomou & Angeliki N. Menegaki, 2023. "China in the Renewable Energy Era: What Has Been Done and What Remains to Be Done," Energies, MDPI, vol. 16(18), pages 1-21, September.
    11. Xu, Si & Zhang, You & Chen, Lan & Leong, Lin Woon & Muda, Iskandar & Ali, Anis, 2023. "How Fintech and effective governance derive the greener energy transition: Evidence from panel-corrected standard errors approach," Energy Economics, Elsevier, vol. 125(C).
    12. Li, Baolin & Wang, Jia & Nassani, Abdelmohsen A. & Binsaeed, Rima H. & Li, Zeyun, 2023. "The future of Green energy: A panel study on the role of renewable resources in the transition to a Green economy," Energy Economics, Elsevier, vol. 127(PB).
    13. Yuanyuan Li & Yindan Zhang & Yasir Ahmed Solangi, 2023. "Assessing ESG Factors and Policies of Green Finance Investment Decisions for Sustainable Development in China Using the Fuzzy AHP and Fuzzy DEMATEL," Sustainability, MDPI, vol. 15(21), pages 1-23, October.

  4. Zhiyang Shen & Jingyun Li & Michael Vardanyan & Bo Wang, 2022. "Nonparametric shadow pricing of non-performing loans: a study of the Chinese banking sector," Post-Print hal-03974915, HAL.

    Cited by:

    1. Barbero, Javier & Zofío, José L., 2023. "The measurement of profit, profitability, cost and revenue efficiency through data envelopment analysis: A comparison of models using BenchmarkingEconomicEfficiency.jl," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).

  5. Jean-Philippe Boussemart & Herve Leleu & Zhiyang Shen & Michael Vardanyan & Ning Zhu, 2019. "Decomposing banking performance into economic and credit risk efficiencies," Post-Print hal-02497996, HAL.

    Cited by:

    1. Qingxian An & Xuyang Liu & Yongli Li & Beibei Xiong, 2019. "Resource planning of Chinese commercial banking systems using two-stage inverse data envelopment analysis with undesirable outputs," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-20, June.
    2. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    3. Zhu, Ning & Hougaard, Jens Leth & Yu, Zhiqian & Wang, Bing, 2020. "Ranking Chinese commercial banks based on their expected impact on structural efficiency," Omega, Elsevier, vol. 94(C).
    4. K. Hervé Dakpo & Yann Desjeux & Laure Latruffe, 2023. "Cost of abating excess nitrogen on wheat plots in France: An assessment with multi‐technology modelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 800-815, September.
    5. Sunil Mohanty & Hong-Jen Lin, 2021. "Efficiency in China’s Banking Sector: A Comparative Analysis of Pre- and Post-Basel II Eras," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 24(02), pages 1-29, June.
    6. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    7. Jiawei Yang, 2023. "Disentangling the sources of bank inefficiency: a two-stage network multi-directional efficiency analysis approach," Annals of Operations Research, Springer, vol. 326(1), pages 369-410, July.
    8. Rim Boussaada & Abdelaziz Hakimi & Majdi Karmani, 2022. "Is there a threshold effect in the liquidity risk–non‐performing loans relationship? A PSTR approach for MENA banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1886-1898, April.
    9. Ozili, Peterson K, 2022. "Economic policy uncertainty, bank nonperforming loans and loan loss provisions: are they correlated?," MPRA Paper 112381, University Library of Munich, Germany.
    10. Xiaodong Chen & Anda Guo & Jiahao Zhu & Fang Wang & Yanqiu He, 2022. "Accessing performance of transport sector considering risks of climate change and traffic accidents: joint bounded-adjusted measure and Luenberger decomposition," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 115-138, March.
    11. Mehmood, Asad & De Luca, Francesco, 2023. "How does non-interest income affect bank credit risk? Evidence before and during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 53(C).
    12. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    13. Fukuyama, Hirofumi & Tan, Yong, 2022. "Implementing strategic disposability for performance evaluation: Innovation, stability, profitability and corporate social responsibility in Chinese banking," European Journal of Operational Research, Elsevier, vol. 296(2), pages 652-668.
    14. Xiong, Beibei & Chen, Haoxun & An, Qingxian & Wu, Jie, 2019. "A multi-objective distance friction minimization model for performance assessment through data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(1), pages 132-142.
    15. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2023. "Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1360-1373.
    16. Hirofumi Fukuyama & Yong Tan, 2022. "Deconstructing three‐stage overall efficiency into input, output and stability efficiency components with consideration of market power and loan loss provision: An application to Chinese banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 953-974, January.
    17. Zhao, Linlin & Zhu, Qingyuan & Zhang, Lin, 2021. "Regulation adaptive strategy and bank efficiency: A network slacks-based measure with shared resources," European Journal of Operational Research, Elsevier, vol. 295(1), pages 348-362.
    18. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).

  6. Gary Ferrier & Herve Leleu & Vivian Valdmanis & Michael Vardanyan, 2017. "A directional distance function approach for identifying the input/output status of medical residents," Post-Print hal-01744641, HAL.

    Cited by:

    1. Layer, Kevin & Johnson, Andrew L. & Sickles, Robin C. & Ferrier, Gary D., 2020. "Direction selection in stochastic directional distance functions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 351-364.
    2. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    3. Boussemart, Jean Philippe & Leleu, Hervé & Shen, Zhiyang, 2015. "Environmental growth convergence among Chinese regions," China Economic Review, Elsevier, vol. 34(C), pages 1-18.
    4. Maria J. Perez-Villadóniga & Ana Rodriguez-Alvarez & David Roibas, 2022. "The contribution of resident physicians to hospital productivity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 301-312, March.

  7. Jean-Philippe Boussemart & Hervé Leleu & Zhiyang Shen & Michael Vardanyan & Ning Zhu, 2017. "Decomposing banking performance into economic and risk management efficiencies," Working Papers 2017-EQM-09, IESEG School of Management.

    Cited by:

    1. Cândida Ferreira, 2019. "Efficiency of the European banks in the aftermath of the financial crisis: A panel stochastic frontier approach," Working Papers REM 2019/84, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.

  8. Rolf Färe & Carl Pasurka & Michael Vardanyan, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," Post-Print hal-01744614, HAL.

    Cited by:

    1. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    3. Song, Yao-yao & Li, Jing-jing & Wang, Jin-li & Yang, Guo-liang & Chen, Zhenling, 2022. "Eco-efficiency of Chinese transportation industry: A DEA approach with non-discretionary input," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    4. Rolf Färe & Giannis Karagiannis, 2023. "Translation efficiency and directionally optimal scale," Journal of Economics, Springer, vol. 140(3), pages 259-273, December.
    5. Yuan, Peng & Pu, Yuran & Liu, Chang, 2021. "Improving electricity supply reliability in China: Cost and incentive regulation," Energy, Elsevier, vol. 237(C).
    6. Walheer, Barnabé & Zhang, Linjia, 2018. "Profit Luenberger and Malmquist-Luenberger indexes for multi-activity decision making units: the case of the star-rated hotel industry in China," RIEI Working Papers 2018-06, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    7. Layer, Kevin & Johnson, Andrew L. & Sickles, Robin C. & Ferrier, Gary D., 2020. "Direction selection in stochastic directional distance functions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 351-364.
    8. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    9. Tsionas, Mike G., 2020. "Directional technology distance functions through duality," Economics Letters, Elsevier, vol. 190(C).
    10. Arabmaldar, A. & Sahoo, B.K. & Ghiyasi, M., 2023. "A generalized robust data envelopment analysis model based on directional distance function," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138962, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    11. Song, Malin & Wang, Jianlin, 2018. "Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model," Energy, Elsevier, vol. 161(C), pages 325-336.
    12. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    13. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Flavius Badau & Nicholas Rada, 2022. "Disequilibrium effects from misallocated markets: An application to agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 592-604, July.
    15. Zhou, Yi & Zhou, Wenji & Wei, Chu, 2023. "Environmental performance of the Chinese cement enterprise: An empirical analysis using a text-based directional vector," Energy Economics, Elsevier, vol. 125(C).
    16. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    17. Barnabé Walheer, 2019. "Dynamic directional nonparametric profit efficiency analysis for a single decision-making unit: an aggregation approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 1123-1149, December.
    18. Moriah Bostian & Rolf Färe & Shawna Grosskopf & Tommy Lundgren, 2022. "Prevention or cure? Optimal abatement mix," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(4), pages 503-531, October.
    19. Rolf Färe & Xinju He & Sungko Li & Valentin Zelenyuk, 2019. "A Unifying Framework for Farrell Profit Efficiency Measurement," Operations Research, INFORMS, vol. 67(1), pages 183-197, January.
    20. Fukuyama, Hirofumi & Liu, Hui-hui & Song, Yao-yao & Yang, Guo-liang, 2021. "Measuring the capacity utilization of the 48 largest iron and steel enterprises in China," European Journal of Operational Research, Elsevier, vol. 288(2), pages 648-665.

  9. Rolf Färe & Michael Vardanyan, 2016. "A note on parameterizing input distance functions: does the choice of a functional form matter?," Post-Print hal-01744488, HAL.

    Cited by:

    1. Layer, Kevin & Johnson, Andrew L. & Sickles, Robin C. & Ferrier, Gary D., 2020. "Direction selection in stochastic directional distance functions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 351-364.
    2. Mydland, Ørjan & Kumbhakar, Subal C. & Lien, Gudbrand & Amundsveen, Roar & Kvile, Hilde Marit, 2020. "Economies of scope and scale in the Norwegian electricity industry," Economic Modelling, Elsevier, vol. 88(C), pages 39-46.
    3. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    4. Riera, Félix Sebastián & Brümmer, Bernhard, 2022. "Environmental efficiency of wine grape production in Mendoza, Argentina," Agricultural Water Management, Elsevier, vol. 262(C).
    5. Ang, Frederic & Kerstens, Pieter Jan, 2020. "A superlative indicator for the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1161-1173.

  10. R. Fare & C. Martins-Filho & M. Vardanyan, 2010. "On functional form representation of multi-output production technologies," Post-Print hal-00800130, HAL.

    Cited by:

    1. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. Ni, Jinlan & Wei, Chu & Du, Limin, 2015. "Revealing the political decision toward Chinese carbon abatement: Based on equity and efficiency criteria," Energy Economics, Elsevier, vol. 51(C), pages 609-621.
    3. Gary Ferrier & Herve Leleu & Vivian Valdmanis & Michael Vardanyan, 2017. "A directional distance function approach for identifying the input/output status of medical residents," Post-Print hal-01744641, HAL.
    4. Badau, Flavius & Färe, Rolf & Gopinath, Munisamy, 2016. "Global resilience to climate change: Examining global economic and environmental performance resulting from a global carbon dioxide market," Resource and Energy Economics, Elsevier, vol. 45(C), pages 46-64.
    5. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    6. Kyohei Matsushita & Kota Asano, 2014. "Reducing CO 2 emissions of Japanese thermal power companies: a directional output distance function approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 1-19, January.
    7. Jamasb, T. & Söderberg, M., 2009. "Yardstick and Ex-post Regulation by Norm Model: Empirical Equivalence, Pricing Effect, and Performance in Sweeden," Cambridge Working Papers in Economics 0908, Faculty of Economics, University of Cambridge.
    8. Géraldine Henningsen & Arne Henningsen & Uwe Jensen, 2013. "A Monte Carlo Study on Multiple Output Stochastic Frontiers: Comparison of Two Approaches," IFRO Working Paper 2013/7, University of Copenhagen, Department of Food and Resource Economics.
    9. Bostian, Moriah B. & Herlihy, Alan T., 2014. "Valuing tradeoffs between agricultural production and wetland condition in the U.S. Mid-Atlantic region," Ecological Economics, Elsevier, vol. 105(C), pages 284-291.
    10. Layer, Kevin & Johnson, Andrew L. & Sickles, Robin C. & Ferrier, Gary D., 2020. "Direction selection in stochastic directional distance functions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 351-364.
    11. Sauer, J. & Walsh, J. & Zilberman, D., 2014. "Agri-Environmental Policy Effects at Producer Level – Identification and Measurement," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    12. Timo Kuosmanen & Sheng Dai, 2023. "Modeling economies of scope in joint production: Convex regression of input distance function," Papers 2311.11637, arXiv.org.
    13. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    14. María Molinos-Senante & Simon Porcher & Alexandros Maziotis, 2018. "Productivity change and its drivers for the Chilean water companies: A comparison of full private and concessionary companies," Post-Print hal-02145824, HAL.
    15. Atakelty Hailu & Robert Chambers, 2012. "A Luenberger soil-quality indicator," Journal of Productivity Analysis, Springer, vol. 38(2), pages 145-154, October.
    16. Mydland, Ørjan & Kumbhakar, Subal C. & Lien, Gudbrand & Amundsveen, Roar & Kvile, Hilde Marit, 2020. "Economies of scope and scale in the Norwegian electricity industry," Economic Modelling, Elsevier, vol. 88(C), pages 39-46.
    17. Molinos-Senante, María & Porcher, Simon & Maziotis, Alexandros, 2017. "Impact of regulation on English and Welsh water-only companies: an input-distance function approach," LSE Research Online Documents on Economics 82972, London School of Economics and Political Science, LSE Library.
    18. Matsushita, Kyohei & Yamane, Fumihiro, 2012. "Pollution from the electric power sector in Japan and efficient pollution reduction," Energy Economics, Elsevier, vol. 34(4), pages 1124-1130.
    19. Nancy H. Chau & Rolf Färe & Shawna Grosskopf, 2013. "Trade Restrictiveness and Pollution," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 15(1), pages 25-52, February.
    20. Aparajita Singh & Haripriya Gundimeda, 2021. "Measuring technical efficiency and shadow price of water pollutants for the leather industry in India: a directional distance function approach," Journal of Regulatory Economics, Springer, vol. 59(1), pages 71-93, February.
    21. Färe, Rolf & Pasurka, Carl & Vardanyan, Michael, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," European Journal of Operational Research, Elsevier, vol. 262(1), pages 361-369.
    22. Bonilla, Jorge & Coria, Jessica & Sterner, Thomas, 2012. "Synergies and Trade-offs between Climate and Local Air Pollution: Policies in Sweden," Working Papers in Economics 529, University of Gothenburg, Department of Economics.
    23. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    24. Surender Kumar & Rakesh Kumar Jain, 2018. "Shadow Price of CO 2 Emissions in Indian Thermal Power Sector," Working Papers id:12791, eSocialSciences.
    25. Sauer, Johannes & Walsh, John & Zilberman, David, 2012. "Behavioural Change through Agri-Environmental Policies ? – A Distance Function based Matching Approach," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134783, Agricultural Economics Society.
    26. Surender Kumar & Hidemichi Fujii & Shunsuke Managi, 2014. "Substitute or complement? Assessing renewable and non-renewable energy in OCED countries," Working Papers SDES-2014-8, Kochi University of Technology, School of Economics and Management, revised Oct 2014.
    27. Paolo Guarda & Abdelaziz Rouabah & Michael Vardanyan, 2013. "Identifying bank outputs and inputs with a directional technology distance function," Journal of Productivity Analysis, Springer, vol. 40(2), pages 185-195, October.
    28. Czekaj, Tomasz G., 2015. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," 2015 Conference, August 9-14, 2015, Milan, Italy 211555, International Association of Agricultural Economists.
    29. Sauer, J. & Latacz-Lohmann, U., 2013. "Efficient Innovation in Dairy Production – Empirical Findings for Germany," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    30. Sauer, J. & Latacz-Lohmann, Uwe, 2013. "Efficient Innovation in Dairy Production - Empirical Findings for Germany," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158865, Agricultural Economics Society.
    31. Badau, Flavius & Rada, Nicholas, 2016. "The Price of Inefficiency in Indian Agriculture," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235622, Agricultural and Applied Economics Association.
    32. Chambers, Robert & Färe, Rolf & Grosskopf, Shawna & Vardanyan, Michael, 2013. "Generalized quadratic revenue functions," Journal of Econometrics, Elsevier, vol. 173(1), pages 11-21.
    33. Huiming Xie & Xiaopeng Wang & Manhong Shen & Chu Wei, 2022. "Abatement costs of combatting industrial water pollution: convergence across Chinese provinces," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10752-10767, September.
    34. Färe, Rolf & Grosskopf, Shawna & Hayes, Kathy J. & Margaritis, Dimitris, 2008. "Estimating demand with distance functions: Parameterization in the primal and dual," Journal of Econometrics, Elsevier, vol. 147(2), pages 266-274, December.
    35. Yang, Jun & Cheng, Jixin & Zou, Ran & Geng, Zhifei, 2021. "Industrial SO2 technical efficiency, reduction potential and technology heterogeneities of China's prefecture-level cities: A multi-hierarchy meta-frontier parametric approach," Energy Economics, Elsevier, vol. 104(C).
    36. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.
    37. Kumar, Surender & Jain, Rakesh Kumar, 2019. "Carbon-sensitive meta-productivity growth and technological gap: An empirical analysis of Indian thermal power sector," Energy Economics, Elsevier, vol. 81(C), pages 104-116.
    38. Wei, Chu & Löschel, Andreas & Liu, Bing, 2013. "An empirical analysis of the CO2 shadow price in Chinese thermal power enterprises," Energy Economics, Elsevier, vol. 40(C), pages 22-31.
    39. Chen, Bin & Jin, Yingmei, 2020. "Adjusting productivity measures for CO2 emissions control: Evidence from the provincial thermal power sector in China," Energy Economics, Elsevier, vol. 87(C).
    40. Tomasz Gerard Czekaj, 2013. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Parametric and Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," IFRO Working Paper 2013/21, University of Copenhagen, Department of Food and Resource Economics.
    41. Yuanjie Li & Zhuoying Zhang & Minjun Shi, 2019. "Restrictive Effects of Water Scarcity on Urban Economic Development in the Beijing-Tianjin-Hebei City Region," Sustainability, MDPI, vol. 11(8), pages 1-23, April.
    42. Zhou, Yi & Zhou, Wenji & Wei, Chu, 2023. "Environmental performance of the Chinese cement enterprise: An empirical analysis using a text-based directional vector," Energy Economics, Elsevier, vol. 125(C).
    43. Ang, Frederic & Kerstens, Pieter Jan, 2020. "A superlative indicator for the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1161-1173.
    44. Bert Balk & Rolf Färe & Giannis Karagiannis, 2015. "On directional scale elasticities," Journal of Productivity Analysis, Springer, vol. 43(1), pages 99-104, February.
    45. Jorge Bonilla & Jessica Coria & Thomas Sterner, 2018. "Technical Synergies and Trade-Offs Between Abatement of Global and Local Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 191-221, May.
    46. Sauer, Johannes & Latacz-Lohmann, Uwe, 2012. "Efficient Innovation in Dairy Production - Empirical Findings for Germany," 52nd Annual Conference, Stuttgart, Germany, September 26-28, 2012 137386, German Association of Agricultural Economists (GEWISOLA).
    47. Mellah, Thuraya & Ben Amor, Tawfik, 2016. "Performance of the Tunisian Water Utility: An input-distance function approach," Utilities Policy, Elsevier, vol. 38(C), pages 18-32.
    48. Limin Du & Aoife Hanley & Chu Wei, 2015. "Marginal Abatement Costs of Carbon Dioxide Emissions in China: A Parametric Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(2), pages 191-216, June.
    49. Di Peng & Haibin Liu, 2023. "Marginal Carbon Dioxide Emission Reduction Cost and Influencing Factors in Chinese Industry Based on Bayes Bootstrap," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    50. Tang, Kai & Yang, Lin & Zhang, Jianwu, 2016. "Estimating the regional total factor efficiency and pollutants’ marginal abatement costs in China: A parametric approach," Applied Energy, Elsevier, vol. 184(C), pages 230-240.
    51. Rolf Färe & Shawna Grosskopf & William L. Weber, 2016. "Pricing Nonmarketed Outputs with an Application to Community Colleges," Public Finance Review, , vol. 44(2), pages 197-219, March.
    52. Nakaishi, Tomoaki, 2021. "Developing effective CO2 and SO2 mitigation strategy based on marginal abatement costs of coal-fired power plants in China," Applied Energy, Elsevier, vol. 294(C).
    53. Sauer, Johannes & Walsh, John & Zilberman, David, 2012. "Producer Behaviour and Agri-Environmental Policies: A Directional Distance based Matching Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124877, Agricultural and Applied Economics Association.

  11. Robert G. Chambers & Rolf Färe & Shawna Grosskopf & Michael Vardanyan, 2008. "Generalized Quadratic Revenue Functions," CESifo Working Paper Series 2404, CESifo.

    Cited by:

    1. Gary Ferrier & Herve Leleu & Vivian Valdmanis & Michael Vardanyan, 2017. "A directional distance function approach for identifying the input/output status of medical residents," Post-Print hal-01744641, HAL.
    2. Debdatta Pal & Subrata K. Mitra, 2018. "The efficiency of microfinance institutions with problem loans: A directional distance function approach," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 285-307, September.
    3. Rolf Färe & Michael Vardanyan, 2014. "A Note on Parameterizing Input Distance Functions: Does the Choice of a Functional Form Matter?," Working Papers 2014-EQM-03, IESEG School of Management.
    4. Mateus De Carvalho Reis Neves & Mateus De Carvalho Reis Neves & Felipe De Figueiredo Silva & Carlos Otávio Freitas & Marcelo José Braga, 2018. "The Shadow Price Of Cooperative Membership On Agriculture In The Brazilian South And Southeast Regions," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 191, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Mydland, Ørjan & Kumbhakar, Subal C. & Lien, Gudbrand & Amundsveen, Roar & Kvile, Hilde Marit, 2020. "Economies of scope and scale in the Norwegian electricity industry," Economic Modelling, Elsevier, vol. 88(C), pages 39-46.
    6. Färe, Rolf & Pasurka, Carl & Vardanyan, Michael, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," European Journal of Operational Research, Elsevier, vol. 262(1), pages 361-369.
    7. Neves, M.C.R. & Silva, F.D.F. & Freitas, C.O.D. & Braga, M.J., 2018. "The Impact of Cooperative Membership on Farm Income," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276983, International Association of Agricultural Economists.
    8. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    9. Czekaj, Tomasz G., 2015. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," 2015 Conference, August 9-14, 2015, Milan, Italy 211555, International Association of Agricultural Economists.
    10. Deng, Zhongqi & Jiang, Nan & Pang, Ruizhi, 2021. "Factor-analysis-based directional distance function: The case of New Zealand hospitals," Omega, Elsevier, vol. 98(C).
    11. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    12. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    13. Carlos Otávio De Freitas & Felipe De Figueiredo Silva & Mateus De Carvalho Reis Neves & Marcelo José Braga, 2018. "Technical Assistance Support Effect On Brazilian Agricultural Performance," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 188, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    14. Tomasz Gerard Czekaj, 2013. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Parametric and Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," IFRO Working Paper 2013/21, University of Copenhagen, Department of Food and Resource Economics.
    15. Ang, Frederic & Kerstens, Pieter Jan, 2020. "A superlative indicator for the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1161-1173.
    16. Jorge Bonilla & Jessica Coria & Thomas Sterner, 2018. "Technical Synergies and Trade-Offs Between Abatement of Global and Local Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 191-221, May.
    17. Deng, Zhongqi & Song, Shunfeng & Jiang, Nan & Pang, Ruizhi, 2023. "Sustainable development in China? A nonparametric decomposition of economic growth," China Economic Review, Elsevier, vol. 81(C).

Articles

  1. Cai, Jinyang & Zheng, Huanyu & Vardanyan, Michael & Shen, Zhiyang, 2023. "Achieving carbon neutrality through green technological progress: evidence from China," Energy Policy, Elsevier, vol. 173(C).
    See citations under working paper version above.
  2. Du, Juntao & Shen, Zhiyang & Song, Malin & Vardanyan, Michael, 2023. "The role of green financing in facilitating renewable energy transition in China: Perspectives from energy governance, environmental regulation, and market reforms," Energy Economics, Elsevier, vol. 120(C).
    See citations under working paper version above.
  3. Chen, Jiandong & Li, Yuqing & Xu, Yiyin & Vardanyan, Michael & Shen, Zhiyang & Song, Malin, 2023. "The impact of fiscal technology expenditures on innovation drive and carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    See citations under working paper version above.
  4. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).

    Cited by:

    1. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).

  5. Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang & Vardanyan, Michael & Zhu, Ning, 2019. "Decomposing banking performance into economic and credit risk efficiencies," European Journal of Operational Research, Elsevier, vol. 277(2), pages 719-726.
    See citations under working paper version above.
  6. Gary D. Ferrier & Hervé Leleu & Vivian G. Valdmanis & Michael Vardanyan, 2018. "A directional distance function approach for identifying the input/output status of medical residents," Applied Economics, Taylor & Francis Journals, vol. 50(9), pages 1006-1021, February.
    See citations under working paper version above.
  7. Färe, Rolf & Pasurka, Carl & Vardanyan, Michael, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," European Journal of Operational Research, Elsevier, vol. 262(1), pages 361-369.
    See citations under working paper version above.
  8. Rolf Färe & Michael Vardanyan, 2016. "A note on parameterizing input distance functions: does the choice of a functional form matter?," Journal of Productivity Analysis, Springer, vol. 45(2), pages 121-130, April.
    See citations under working paper version above.
  9. Paolo Guarda & Abdelaziz Rouabah & Michael Vardanyan, 2013. "Identifying bank outputs and inputs with a directional technology distance function," Journal of Productivity Analysis, Springer, vol. 40(2), pages 185-195, October.

    Cited by:

    1. Gary Ferrier & Herve Leleu & Vivian Valdmanis & Michael Vardanyan, 2017. "A directional distance function approach for identifying the input/output status of medical residents," Post-Print hal-01744641, HAL.
    2. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    3. Simone Pieralli, 2019. "Bumper crop or dearth: An economic methodology to identify the disruptive effects of climatic variables on French agriculture [Récolte exceptionnelle ou pénurie : une méthodologie économique pour i," Working Papers hal-02786610, HAL.
    4. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.
    5. Cândida Ferreira, 2019. "Efficiency of the European banks in the aftermath of the financial crisis: A panel stochastic frontier approach," Working Papers REM 2019/84, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    6. Walter Briec & Laurent Cavaignac & Kristiaan Kerstens, 2020. "Input Efficiency Measures: A Generalized, Encompassing Formulation," Operations Research, INFORMS, vol. 68(6), pages 1836-1849, November.
    7. Sunil Mohanty & Hong-Jen Lin, 2021. "Efficiency in China’s Banking Sector: A Comparative Analysis of Pre- and Post-Basel II Eras," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 24(02), pages 1-29, June.
    8. Jean-Philippe Boussemart & Herve Leleu & Zhiyang Shen & Michael Vardanyan & Ning Zhu, 2019. "Decomposing banking performance into economic and credit risk efficiencies," Post-Print hal-02497996, HAL.
    9. Pieralli, Simone & Hüttel, Silke & Odening, Martin, 2014. "Abandonment of milk production under uncertainty and inefficiency: The case of West German farms," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170236, Agricultural and Applied Economics Association.
    10. Jamal Ouenniche & Skarleth Carrales, 2018. "Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback," Annals of Operations Research, Springer, vol. 266(1), pages 551-587, July.
    11. Shirong Zhao, 2020. "Shadow Prices of Non-performing Loans for Chinese Banks in the Post-Crisis Era," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(6), pages 1-8.
    12. Zhu, Ning & Wu, Yanrui & Wang, Bing & Yu, Zhiqian, 2019. "Risk preference and efficiency in Chinese banking," China Economic Review, Elsevier, vol. 53(C), pages 324-341.

  10. Chambers, Robert & Färe, Rolf & Grosskopf, Shawna & Vardanyan, Michael, 2013. "Generalized quadratic revenue functions," Journal of Econometrics, Elsevier, vol. 173(1), pages 11-21.
    See citations under working paper version above.
  11. Rolf Färe & Carlos Martins-Filho & Michael Vardanyan, 2010. "On functional form representation of multi-output production technologies," Journal of Productivity Analysis, Springer, vol. 33(2), pages 81-96, April.
    See citations under working paper version above.
  12. Michael Vardanyan & Victor J. Tremblay, 2006. "The measurement of marketing efficiency in the presence of spillovers: theory and evidence," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 319-331.

    Cited by:

    1. Chen, Jihui & Waters, George, 2017. "Firm efficiency, advertising and profitability: Theory and evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 240-248.
    2. Molinos-Senante, María & Hanley, Nick & Sala-Garrido, Ramón, 2015. "Measuring the CO2 shadow price for wastewater treatment: A directional distance function approach," Applied Energy, Elsevier, vol. 144(C), pages 241-249.
    3. Natsuko Iwasaki & Victor Tremblay, 2009. "The effect of marketing regulations on efficiency: LeChatelier versus coordination effects," Journal of Productivity Analysis, Springer, vol. 32(1), pages 41-54, August.
    4. Duflos, Gautier & Lichtenberg, Frank R., 2012. "Does competition stimulate drug utilization? The impact of changes in market structure on US drug prices, marketing and utilization," International Review of Law and Economics, Elsevier, vol. 32(1), pages 95-109.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EFF: Efficiency and Productivity (3) 2014-06-07 2018-03-05 2020-09-21
  2. NEP-BAN: Banking (1) 2018-03-05
  3. NEP-CNA: China (1) 2020-09-21
  4. NEP-ENE: Energy Economics (1) 2020-09-21
  5. NEP-ENV: Environmental Economics (1) 2020-09-21
  6. NEP-HEA: Health Economics (1) 2014-06-07
  7. NEP-RMG: Risk Management (1) 2018-03-05

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