What is he best known for?
The fields of study he is best known for:
- Microeconomics
- Finance
- Mathematical optimization
His main research concerns Data envelopment analysis, Supply chain, Mathematical optimization, Microeconomics and Order.
His research integrates issues of Linear programming, Stochastic efficiency and Goal programming in his study of Data envelopment analysis.
His studies deal with areas such as Advertising, Game theory and Product as well as Supply chain.
His study looks at the relationship between Mathematical optimization and fields such as Inefficiency, as well as how they intersect with chemical problems.
His work deals with themes such as Returns to scale and Sustainable growth rate, which intersect with Order.
His work in the fields of Supply chain management, such as Channel coordination, overlaps with other areas such as Price mechanism.
His most cited work include:
- Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks (637 citations)
- Cone ratio data envelopment analysis and multi-objective programming (389 citations)
- Co-op advertising models in manufacturer–retailer supply chains: A game theory approach (267 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Data envelopment analysis, Mathematical optimization, Environmental economics, Microeconomics and Supply chain.
His work in Data envelopment analysis tackles topics such as Econometrics which are related to areas like Envelopment and Linear programming.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Profit efficiency and Profit maximization.
His work carried out in the field of Environmental economics brings together such families of science as Allocative efficiency and Inefficiency.
His study on Microeconomics also encompasses disciplines like
- Channel coordination that intertwine with fields like Order,
- National brand, which have a strong connection to General partnership.
His study in Supply chain is interdisciplinary in nature, drawing from both Advertising and Game theory.
He most often published in these fields:
- Data envelopment analysis (42.02%)
- Mathematical optimization (25.21%)
- Environmental economics (36.13%)
What were the highlights of his more recent work (between 2015-2020)?
- Environmental economics (36.13%)
- Data envelopment analysis (42.02%)
- Natural resource economics (21.01%)
In recent papers he was focusing on the following fields of study:
Environmental economics, Data envelopment analysis, Natural resource economics, China and Productivity are his primary areas of study.
Zhimin Huang works mostly in the field of Environmental economics, limiting it down to topics relating to Inefficiency and, in certain cases, Economic cost and Estimation, as a part of the same area of interest.
His Data envelopment analysis research includes elements of Agricultural engineering and Allocative efficiency.
The various areas that Zhimin Huang examines in his Productivity study include Supply chain management and Agricultural economics.
Zhimin Huang performs multidisciplinary studies into Emissions trading and Microeconomics in his work.
When carried out as part of a general Microeconomics research project, his work on Game theory is frequently linked to work in Accrual, therefore connecting diverse disciplines of study.
Between 2015 and 2020, his most popular works were:
- Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings (81 citations)
- Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings (81 citations)
- Service outsourcing and disaster response methods in a relief supply chain (54 citations)
In his most recent research, the most cited papers focused on:
- Microeconomics
- Finance
- Management
His scientific interests lie mostly in China, Productivity, Data envelopment analysis, Environmental economics and Microeconomics.
His China studies intersect with other disciplines such as Intensity, Natural resource economics, Reduction, Scenario analysis and Electric power industry.
His Productivity research is multidisciplinary, incorporating perspectives in Quality, Allocative efficiency and Process.
Zhimin Huang has researched Data envelopment analysis in several fields, including Stochastic frontier analysis and Operational efficiency.
His work in Environmental economics addresses issues such as Operations management, which are connected to fields such as Outsourcing, Insourcing and Disaster response.
His study in the field of Inefficiency also crosses realms of Carbon credit, Clean Development Mechanism and Command and control.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
