Reference health
Measurement and influential factors of the efficiency of coal resources of China’s provinces: Based on Bootstrap-DEA and Tobit
29/29 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
5 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 29 checked references that resolve
resolves10.1016/j.enpol.2018.11.037
Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis
resolves10.1016/j.jclepro.2018.07.234
How urbanization affects China's energy efficiency: A spatial econometric analysis
resolves10.1016/j.eneco.2018.11.004
Provincial allocation of coal de-capacity targets in China in terms of cost, efficiency, and fairness
resolves10.1016/j.eneco.2019.104509
Has China's coal consumption actually reached its peak? National and regional analysis considering cross-sectional dependence and heterogeneity
resolves10.1016/j.resourpol.2019.01.013
Does diversification help improve the performance of coal companies? Evidence from China's listed coal companies
resolves10.1016/j.resourpol.2018.04.008
Evaluation of relative technological innovation capability: Model and case study for China's coal mine
resolves10.1016/j.resconrec.2017.11.003
The residential coal consumption: Disparity in urban–rural China
resolves10.1016/j.energy.2019.03.144
Comparative study on power efficiency of China's provincial steel industry and its influencing factors
resolves10.1016/j.jclepro.2015.07.025
Regional differences and pattern classifications in the efficiency of coal consumption in China
resolves10.1016/j.egypro.2017.12.177
Regional Total-Factor Coal Consumption Efficiency in China: A Meta-Frontier SBM-Undesirable Approach
resolves10.1016/j.resourpol.2019.101527
Production efficiency and geographical location of Chinese coal enterprises - undesirable EBM DEA
resolves10.1016/j.egypro.2012.01.129
Research of Regional Energy Efficiency Based on Undesirable Outputs and Its Influential Factors: A Case of Western China
resolves10.1016/j.enpol.2015.10.011
A comparative study on the influential factors of China's provincial energy intensity
resolves10.1016/j.energy.2018.10.063
Provincial energy efficiency of China quantified by three-stage data envelopment analysis
resolves10.1016/j.energy.2019.116463
Influence of FDI quality on energy efficiency in China based on seemingly unrelated regression method
resolves10.1016/j.jclepro.2017.08.207
Energy efficiency and influencing factors analysis on Beijing industrial sectors
resolves10.1016/j.jclepro.2019.01.095
The impact of industrial structure efficiency on provincial industrial energy efficiency in China
resolves10.1016/j.enpol.2019.110941
Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis
resolves10.1016/j.jclepro.2018.10.271
The measurement and influences of China's urban total factor energy efficiency under environmental pollution: Based on the game cross-efficiency DEA
resolves10.1016/j.jclepro.2017.09.052
Analysis of energy efficiency and its influencing factors in China's transport sector
resolves10.1016/j.jclepro.2014.03.054
Environmental efficiency evaluation of industry in China based on a new fixed sum undesirable output data envelopment analysis
resolves10.1016/j.scitotenv.2019.135903
Environmental efficiency evaluation of China's iron and steel industry: A process-level data envelopment analysis
resolves10.1016/j.jcis.2017.10.115
Characterisation of heterogeneity and spatial autocorrelation in phase separating mixtures using Moran’s I
resolves10.1016/j.energy.2017.06.063
The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach
resolves10.1016/j.proeps.2009.09.259
Economic analysis and realization mechanism design for full cost of coal mining
The 5 references without a DOI — listed, not checked
no DOI — not checkedRegulatory regime on coal Mine Safety in China and Australia: comparative analysis and overall findings
no DOI — not checkedChapter 1 - introductory concepts
no DOI — not checkedSpace-time effect modelling with machine learning: a scalable approach for assessing efficiency of coal resources
no DOI — not checkedExploratory spatial data analysis of global MODIS active fire data
no DOI — not checkedFinancial development and income inequality in China – a spatial data analysis
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-07-23 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.1016/j.energy.2021.119763"><img src="https://citestamp.com/citestamped/10.1016/j.energy.2021.119763/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.1016/j.energy.2021.119763)