What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Microeconomics
Peng Zhou mainly investigates Data envelopment analysis, Econometrics, Performance measurement, Energy and Operations research.
Peng Zhou combines subjects such as Index, Environmental economics, Measure and Energy accounting with his study of Data envelopment analysis.
His Environmental economics research is multidisciplinary, relying on both Environmental engineering, Inefficiency and Thermal power station.
Peng Zhou works mostly in the field of Econometrics, limiting it down to concerns involving Linear programming and, occasionally, Energy intensity and Returns to scale.
Energy is closely attributed to Production in his study.
His research integrates issues of Empirical research, Welfare economics and Economy in his study of Production.
His most cited work include:
- A survey of data envelopment analysis in energy and environmental studies (831 citations)
- Total factor carbon emission performance: A Malmquist index analysis (391 citations)
- Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach (390 citations)
What are the main themes of his work throughout his whole career to date?
Peng Zhou mostly deals with Econometrics, Data envelopment analysis, Environmental economics, Production and Index.
His Econometrics study integrates concerns from other disciplines, such as Linear programming and Public economics.
His Data envelopment analysis study combines topics from a wide range of disciplines, such as Energy, Measure and Operations research.
While the research belongs to areas of Environmental economics, he spends his time largely on the problem of Empirical research, intersecting his research to questions surrounding Economy.
His study in the field of Production theory is also linked to topics like Technology gap.
His research investigates the link between Index and topics such as Malmquist index that cross with problems in Statistical inference.
He most often published in these fields:
- Econometrics (30.77%)
- Data envelopment analysis (29.49%)
- Environmental economics (21.79%)
What were the highlights of his more recent work (between 2016-2018)?
- Environmental economics (21.79%)
- Production (21.79%)
- Index (19.23%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Environmental economics, Production, Index, Econometrics and Driving factors.
As part of one scientific family, he deals mainly with the area of Environmental economics, narrowing it down to issues related to the Technological change, and often Empirical research.
His work in the fields of Production, such as Returns to scale, intersects with other areas such as Decomposition and Decomposition analysis.
Peng Zhou has researched Index in several fields, including Energy and Management science.
His studies deal with areas such as Variety and Preference as well as Econometrics.
The concepts of his Driving factors study are interwoven with issues in Panel data, Economy and Operations management.
Between 2016 and 2018, his most popular works were:
- Contributions to sector-level carbon intensity change: An integrated decomposition analysis (88 citations)
- Does foreign direct investment drive environmental degradation in China? An empirical study based on air quality index from a spatial perspective (76 citations)
- Factors driving energy consumption in China: A joint decomposition approach (53 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Microeconomics
Peng Zhou mostly deals with Environmental economics, Natural resource economics, Index, Driving factors and Production.
In his works, Peng Zhou undertakes multidisciplinary study on Environmental economics and Electricity generation.
The various areas that Peng Zhou examines in his Natural resource economics study include Spatial spillover and Embodied cognition.
His research on Index often connects related topics like Technological change.
The study incorporates disciplines such as Empirical research and Economy in addition to Driving factors.
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