What is he best known for?
The fields of study he is best known for:
- Statistics
- Agriculture
- Microeconomics
Henk Folmer mostly deals with Natural resource economics, Econometrics, Spatial dependence, Structural equation modeling and Empirical evidence.
His study in Natural resource economics is interdisciplinary in nature, drawing from both Resource, Environmental studies, Energy consumption, Marine reserve and Environmental quality.
In the subject of general Econometrics, his work in Econometric model is often linked to Cost estimate, thereby combining diverse domains of study.
His Spatial dependence study combines topics in areas such as Estimator, Linear regression and Applied mathematics.
His research integrates issues of Spatial econometrics and Regression analysis in his study of Linear regression.
The concepts of his Structural equation modeling study are interwoven with issues in Hazard, Pollution, Affect and Air quality index.
His most cited work include:
- Specification searches in spatial econometrics: the relevance of Hendry's methodology (383 citations)
- Environmental Regulations and New Plant Location Decisions: Evidence from a Meta-Analysis (188 citations)
- The International Yearbook of Environmental and Resource Economics 2005/2006 (170 citations)
What are the main themes of his work throughout his whole career to date?
Henk Folmer mainly focuses on Natural resource economics, Econometrics, Yearbook, Environmental studies and Structural equation modeling.
His Natural resource economics study typically links adjacent topics like Sustainability.
He combines subjects such as Latent class model, Regression analysis and Spatial dependence with his study of Econometrics.
His Spatial dependence research includes elements of Discrete time and continuous time, Latent variable, Autoregressive model and Estimator.
His Environmental studies research includes themes of Environmental Sustainability Index, Environmental impact assessment and Valuation.
His research is interdisciplinary, bridging the disciplines of Applied mathematics and Structural equation modeling.
He most often published in these fields:
- Natural resource economics (17.93%)
- Econometrics (15.14%)
- Yearbook (9.96%)
What were the highlights of his more recent work (between 2014-2021)?
- Bayes estimator (3.19%)
- China (7.17%)
- Bayesian probability (1.99%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Bayes estimator, China, Bayesian probability, Statistics and Econometrics.
His biological study spans a wide range of topics, including Monte Carlo method, Prior probability, Applied mathematics and Normal distribution.
His China study integrates concerns from other disciplines, such as Structural equation modeling and Economic growth.
His biological study deals with issues like Seemingly unrelated regressions, which deal with fields such as Irrigation and Water scarcity.
His Econometrics research is multidisciplinary, relying on both Productive efficiency, Allocative efficiency and Foreign direct investment.
His studies deal with areas such as Regression analysis, Skewness and Spatial dependence as well as Estimator.
Between 2014 and 2021, his most popular works were:
- Technical and allocative efficiency of irrigation water use in the Guanzhong Plain, China (40 citations)
- Technical and allocative efficiency of irrigation water use in the Guanzhong Plain, China (40 citations)
- Revisiting cross-province energy intensity convergence in China: A spatial panel analysis (38 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Agriculture
- Microeconomics
China, Econometrics, Irrigation, Water scarcity and Structural equation modeling are his primary areas of study.
His Econometrics study frequently links to adjacent areas such as Foreign direct investment.
His Irrigation research is multidisciplinary, incorporating perspectives in Water resource management, Allocative efficiency, Agricultural economics and Productive efficiency.
His Productive efficiency study incorporates themes from Latent variable, Inefficiency, Deficit irrigation, Water conservation and Economic efficiency.
Henk Folmer has researched Structural equation modeling in several fields, including Economic growth, Urban china, Seemingly unrelated regressions, Community type and Socioeconomics.
As a part of the same scientific study, he usually deals with the Panel data, concentrating on Energy policy and frequently concerns with Efficient energy use and Consumption.
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