Skip to main content

Michael Vardanyan

Hanyang University · Decision Sciences

About the Lab

Professor Michael Vardanyan's research lab specializes in applied microeconomic modeling, with a focus on productivity analysis and efficiency measurement in complex systems. The lab develops advanced econometric techniques—particularly directional distance functions and non-parametric models—to study spillover effects in marketing, healthcare production, and environmental technologies. Current research explores the dual roles of medical residents in hospital productivity, the impact of advertising spillovers in the brewing industry, and the design of effective sorbents for petroleum product remediation. The lab integrates data-driven approaches with real-world industrial and environmental applications.

efficiency measurementspillover effectsproductivity analysissorbent materialsmarketing effectiveness

Research Overview

Papers
48
Total Citations
1,193
Papers (5y)
28
Primary Field
Decision Sciences

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
28total
2021
2022
2023
2024
2025
Citations per year (5y)
774total
20212022202320242025

Selected Papers

15
1
Article|283 citations·2023
The role of green financing in facilitating renewable energy transition in China: Perspectives from energy governance, environmental regulation, and market reforms
Juntao Du, Zhiyang Shen, Malin Song, Michael Vardanyan
SJR Q1Energy Economics
Economics and EconometricsEconomics, Econometrics and Finance
2
Article|126 citations·2005
Approximating pollution abatement costs via alternative specifications of a multi-output production technology: A case of the US electric utility industry
Michael Vardanyan, Dong-Woon Noh
SJR Q1Journal of Environmental Management
Economics and EconometricsEconomics, Econometrics and Finance
3
Article|116 citations·2023
Evaluating the energy efficiency-enhancing potential of the digital economy: Evidence from China
Malin Song, Heting Pan, Michael Vardanyan, Zhiyang Shen
SJR Q1Journal of Environmental ManagementOA
Economics and EconometricsEconomics, Econometrics and Finance
4
Article|113 citations·2009
On functional form representation of multi-output production technologies
Rolf Färe, Carlos Martins‐Filho, Michael Vardanyan
SJR Q1Journal of Productivity Analysis
Management Science and Operations ResearchDecision Sciences
5
Article|104 citations·2022
Achieving carbon neutrality through green technological progress: evidence from China
Jinyang Cai, Huanyu Zheng, Michael Vardanyan, Zhiyang Shen
SJR Q1Energy Policy
Economics and EconometricsEconomics, Econometrics and Finance
6
Article|83 citations·2023
The impact of fiscal technology expenditures on innovation drive and carbon emissions in China
Jiandong Chen, Yuqing Li, Yiyin Xu, Michael Vardanyan, Zhiyang Shen, Malin Song
SJR Q1Technological Forecasting and Social Change
Economics and EconometricsEconomics, Econometrics and Finance
7
Article|58 citations·2019
Decomposing banking performance into economic and credit risk efficiencies
Jean‐Philippe Boussemart, Hervé Leleu, Zhiyang Shen, Michael Vardanyan, Ning Zhu
SJR Q1European Journal of Operational Research
Management Science and Operations ResearchDecision Sciences
8
Article|50 citations·2017
On endogenizing direction vectors in parametric directional distance function-based models
Rolf Färe, Carl A. Pasurka, Michael Vardanyan
SJR Q1European Journal of Operational Research
Management Science and Operations ResearchDecision Sciences
9
Article|43 citations·2023
Is energy aid allocated fairly? A global energy vulnerability perspective
Kangyin Dong, Qingzhe Jiang, Liu Yang, Zhiyang Shen, Michael Vardanyan
SJR Q1World Development
PollutionEnvironmental Science
10
Article|35 citations·2023
Environmental credit constraints and pollution reduction: Evidence from China's blacklisting system for environmental fraud
Danyang Di, Guoxiang Li, Zhiyang Shen, Malin Song, Michael Vardanyan
SJR Q1Ecological Economics
Economics and EconometricsEconomics, Econometrics and Finance
11
Article|27 citations·2024
Assessing regional energy security characteristics: Evidence from Chinese province-level data
Juntao Du, Haiyong Gu, Zhiyang Shen, Malin Song, Michael Vardanyan
SJR Q1Energy Economics
General EnergyEnergy
12
Article|26 citations·2012
Identifying bank outputs and inputs with a directional technology distance function
Paolo Guarda, Abdelaziz Rouabah, Michael Vardanyan
SJR Q1Journal of Productivity Analysis
Management Science and Operations ResearchDecision Sciences
13
Article|22 citations·2006
The measurement of marketing efficiency in the presence of spillovers: theory and evidence
Michael Vardanyan, Victor J. Tremblay
SJR Q2Managerial and Decision Economics

Abstract We develop a model of marketing efficiency based on a directional distance function that allows for marketing spillovers. A parametric model is used to test for spillovers from rival marketing and from a firm's marketing activity of its other related products. We then show how this information can be incorporated into a non‐parametric model and used to estimate marketing inefficiency. We apply brand level data from the US brewing industry to the non‐parametric model to determine the eff

MarketingBusiness, Management and Accounting
14
Article|18 citations·2022
Evaluating Green Productivity Gains with the Exponential By-Production Technology: an Analysis of the Chinese Industrial Sector
Zhiyang Shen, Tomas Baležentis, Michael Vardanyan
SJR Q2Environmental Modeling & AssessmentOA
Management Science and Operations ResearchDecision Sciences
15
Article|12 citations·2015
A note on parameterizing input distance functions: does the choice of a functional form matter?
Rolf Färe, Michael Vardanyan
SJR Q1Journal of Productivity Analysis
Management Science and Operations ResearchDecision Sciences

Research Areas

Management Science and Operations ResearchEconomics and EconometricsMedia TechnologyMechanical EngineeringPollutionGeneral Energy

Dive deeper into Michael Vardanyan's research on Nubint

Open this lab's papers in the app to read with AI, summarize, and cite in your writing.