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Evaluation on China's forestry resources efficiency based on big data · Study

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ArticleEvaluation on China's forestry resources efficiency based on big data

Lei Li2016

Article2016

Evaluation on China's forestry resources efficiency based on big data

90 citations·0/0 files stored·Journal of Cleaner Production

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Efficiency Analysis Using DEA Forest Management and Policy Conservation, Biodiversity, and Resource Management

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References

1978Measuring the efficiency of decision making units 1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis 2014Beyond the hype: Big data concepts, methods, and analytics 1982The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity 1953Index numbers and indifference surfaces 2011Handbook on Data Envelopment Analysis 2004Handbook on Data Envelopment Analysis 2002Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis

Cited by

2020Evaluation of coordinated development of forestry management efficiency and forest ecological security: A spatiotemporal empirical study based on China’s provinces 2016An SBM-DEA model with parallel computing design for environmental efficiency evaluation in the big data context: a transportation system application 2020National eco-innovation analysis with big data: A common-weights model for dynamic DEA 2018Environmental efficiency and technological progress of transportation industry-based on large scale data 2024

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Year2016

Typearticle

Published2016-02-25

VenueJournal of Cleaner Production

ISSN-L0959-6526

Languageen

Citations90

Files0 public / 0

ShelfEfficiency Analysis Using DEA

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doi10.1016/j.jclepro.2016.02.078

openalex_workW2280019980

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Forestry Resource Efficiency, Total Factor Productivity Change, and Regional Technological Heterogeneity in China

2023Data-Driven Transformation: The Role of Ambidexterity and Analytics Capability in Building Dynamic and Sustainable Supply Chains

2021Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach

2018Efficiency in the European agricultural sector: environment and resources