What is he best known for?
The fields of study he is best known for:
- Statistics
- Finance
- Macroeconomics
His primary scientific interests are in Data envelopment analysis, Electric power industry, Environmental economics, Measure and Environmental impact assessment.
His Data envelopment analysis research integrates issues from Manufacturing, Industrial organization, Econometrics and Operations research.
The Electric power industry study combines topics in areas such as Electricity generation, Microeconomics, Industrial engineering and Electric power.
In his research, Porter hypothesis, Capital asset, Investment, Energy policy and Liberalization is intimately related to Operational efficiency, which falls under the overarching field of Environmental economics.
His Measure research integrates issues from Econometric model, Envelopment and Productive efficiency.
Mika Goto incorporates Environmental impact assessment and Production in his research.
His most cited work include:
- DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation (208 citations)
- A literature study for DEA applied to energy and environment (198 citations)
- Performance analysis of US coal-fired power plants by measuring three DEA efficiencies (194 citations)
What are the main themes of his work throughout his whole career to date?
Mika Goto mainly investigates Data envelopment analysis, Environmental impact assessment, Environmental economics, Industrial organization and Operations research.
His Data envelopment analysis research incorporates elements of Returns to scale, Manufacturing, Electric power industry and Measure.
As part of one scientific family, Mika Goto deals mainly with the area of Returns to scale, narrowing it down to issues related to the Econometrics, and often Strategic management.
His Electric power industry study combines topics from a wide range of disciplines, such as Index, Deregulation, Microeconomics, Electricity generation and Performance measurement.
His Environmental economics research is multidisciplinary, incorporating perspectives in Energy policy, Environmental resource management and Operational efficiency.
His Industrial organization research incorporates themes from Corporate sustainability, Competition, Financial performance and Financial ratio.
He most often published in these fields:
- Data envelopment analysis (50.96%)
- Environmental impact assessment (24.04%)
- Environmental economics (22.12%)
What were the highlights of his more recent work (between 2016-2021)?
- Data envelopment analysis (50.96%)
- Environmental economics (22.12%)
- Industrial organization (22.12%)
In recent papers he was focusing on the following fields of study:
Mika Goto mostly deals with Data envelopment analysis, Environmental economics, Industrial organization, Environmental impact assessment and Electric power.
His Data envelopment analysis study combines topics in areas such as Manufacturing and Performance improvement.
His Environmental economics research includes elements of Energy engineering, Energy management, Primary energy, International trade and Social sustainability.
His Industrial organization study integrates concerns from other disciplines, such as Corporate sustainability, Product, Downstream and Supply chain.
He has researched Electric power in several fields, including Index, Deregulation and Electric power industry.
His research in Electric power industry intersects with topics in Reliability and Shareholder value.
Between 2016 and 2021, his most popular works were:
- A literature study for DEA applied to energy and environment (198 citations)
- Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis (33 citations)
- Malmquist index measurement for sustainability enhancement in Chinese municipalities and provinces (27 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Finance
- Macroeconomics
His main research concerns Environmental economics, Environmental impact assessment, Data envelopment analysis, Returns to scale and Energy.
His Environmental economics study frequently draws connections to adjacent fields such as Performance indicator.
His Environmental impact assessment investigation overlaps with other disciplines such as Environmental resource management, Global warming, Linkage and Social sustainability.
The Returns to scale study combines topics in areas such as Operations research, Statistics and Production analysis.
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