Innovative Research Award
Jun Zhai,
Nanjing Forestry University.
Jun Zhai is identified with Nanjing Forestry University, China, and the subject area of forest economics analysis. This academic recognition profile presents the researcher in connection with the Innovative Research Award under the World Statistics Awards. The supplied profile records five documents; citation metrics and individual publication details require independent verification. [1] [2]
Abstract
This article outlines the academic recognition profile of Jun Zhai, affiliated with Nanjing Forestry University in China, in the field of forest economics analysis. The profile is associated with the Innovative Research Award presented in the context of the World Statistics Awards. Five documents are reported in the supplied information. Publication-level evidence, citation indicators, and specific research findings are not available here and should be confirmed using authoritative academic records before further claims are made. [1] [2]
Keywords
Jun Zhai; Innovative Research Award; World Statistics Awards; forest economics analysis; forestry research; quantitative analysis; statistical methods; academic publications; research evaluation; Nanjing Forestry University. These keywords describe the supplied profile and subject area rather than verified titles or findings from individual publications. [1]
Introduction
Forest economics analysis examines the economic dimensions of forest resources, management decisions, and the use of evidence in policy and planning. Statistical methods can help researchers assess resource allocation, economic performance, and environmental trade-offs. Jun Zhai’s supplied profile connects the researcher with this subject area and Nanjing Forestry University, China. [1] [3]
Research Profile
Jun Zhai is listed in the supplied information as affiliated with Nanjing Forestry University in China, with forest economics analysis identified as the subject area. The profile reports five documents but does not include a Scopus author identifier, citation total, or h-index. These indicators should be checked against matching, authoritative researcher records before publication. [1] [2]
Research Contributions
Forest economics research can contribute analytical approaches for understanding forest-resource use, production costs, market behaviour, and sustainability decisions. Statistical analysis may support comparisons across regions, policies, or management practices. However, specific contributions attributable to Jun Zhai cannot be established from the supplied profile alone. Publication abstracts, methods, datasets, and findings should be reviewed to identify documented original contributions. [3]
Publications
The supplied information reports five documents associated with this profile, but it does not provide publication titles, journal names, publication years, author order, or DOI identifiers. Consequently, individual works cannot be listed reliably in this article. A verified publication bibliography should be compiled from the researcher’s matching Scopus, ORCID, institutional, or publisher records, with each DOI checked against its original publication. [1] [2]
Research Impact
Research impact may be assessed through citation activity, scholarly collaboration, practical application, policy relevance, and contributions to subsequent studies. For forest economics analysis, potential applications include evidence-informed resource management and evaluation of forestry-related economic decisions. No citation totals or documented applications were supplied for Jun Zhai, so the researcher’s specific impact remains undetermined pending verification of publication and independent impact evidence. [2] [3]
Award Suitability
The Innovative Research Award profile recognises Jun Zhai in connection with forest economics analysis and Nanjing Forestry University. A rigorous assessment of award suitability should consider originality, methodological quality, publication evidence, research relevance, and demonstrable impact. The supplied details establish the intended recognition context, but they are insufficient to independently verify award selection, comparative merit, or specific achievements. [1]
Conclusion
Jun Zhai’s supplied academic profile identifies Nanjing Forestry University, China, and forest economics analysis as the principal affiliation and subject area. The reported five documents provide a starting point for preparing a publication record. Further verification of publications, research findings, citations, and award documentation is necessary to produce a complete and evidence-based account of the researcher’s contributions and recognition. [1] [2]
External Links
References
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Zhai, J., & Ning, Z. (2022). Models for the economic impacts of forest disturbances: A systematic review. Land.
https://doi.org/10.3390/land11091608
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Zhai, J., & Kuusela, O.-P. (2022). Incidence of domestic subsidies vs. export taxes: An equilibrium displacement model of log and lumber markets in Oregon. Forest Policy and Economics.
https://doi.org/10.1016/j.forpol.2021.102647
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Rossi, D., Zhai, J., & Kuusela, O.-P. (2021). Measuring the value of softwood log exports: Evidence from Oregon. Journal of Forestry.
https://doi.org/10.1093/jofore/fvab009