Energy efficiency evaluation of construction projects using data envelopment analysis and Tobit regression by Muzaffar Iqbal, Junhai Ma, Zulqarnain Mushtaq, Naveed Ahmad, Muhammad Zain Yousaf, Bashar Tarawneh, Wajid Khan, Mukesh Pushkarna, Ievgen Zaitsev

“…This research introduces a novel, integrated approach combining Data Envelopment Analysis (DEA) and Tobit regression to evaluate and enhance EE in construction projects. …”
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Study on the efficiency of health resource allocation in the western region of China–based on three-stage DEA and Tobit regression analysis by Dongxue Zhao, Hua Huang, Yu Zhang, Shuanghang Li

“…Methods In this study, we employed a three-stage Data Envelopment Analysis (DEA) model alongside Tobit regression analysis to evaluate the efficiency of health resource allocation and explore the factors that influence it across western China. …”
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Efficiency Determinants in Brazilian Football Clubs by Marcelo Machado de Freitas, Rafael Araújo Sousa Farias, Leonardo Flach

“…To achieve this goal, we applied quantitative methods including Data Envelopment Analysis and Tobit regression modeling to data on the best clubs from 2012 to 2014, according to the Brazilian Football Confederation ranking. …”
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Measuring technical efficiency of Ethiopian commercial banks: multiple criterion data envelopment analysis by Alem Gebremedhin Berhe

“…The second step, on the other hand, uses the Tobit regression model to regress all independent variables (both macroeconomic and bank-specific) on the technical efficiency (TE) of the banks that are being studied. …”
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Analysis of the determinants of innovation in enterprises in Kazakhstan by A. S. Nurbatsin, A. A. Kireyeva

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Research on Innovation Efficiency of Listed Companies in Development Zone Based on the Three-Stage DEA-Tobit Model: A Case Study of Hubei Province by Peng Xu, Fan Luo, Ziyue Zhang, Hongyi Xu

“…This study applies 3-stage data envelopment (DEA) of 24 listed companies in the development zone of Hubei Province from 2012 to 2017 based on the panel data; we used the DEA-Tobit model and regression analysis method on the sample in order to measure the factors affecting the innovation efficiency of listed companies and the efficiency of corporate innovation. …”
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Coupling Coordination Evaluation and Optimization of Water–Energy–Food System in the Yellow River Basin for Sustainable Development by Pengcheng Zhang, Yaoyao Fu, Boliang Lu, Hongbo Li, Yijie Qu, Haslindar Ibrahim, Jiaxuan Wang, Hao Ding, Shenglin Ma

“…The Tobit regression model is employed to quantify the impact of various factors on the system’s coupling coordination degree. …”
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Driving efficiency through innovation: exploring dynamic capabilities in Indian manufacturing small and medium scale enterprise by Mubarak Rahman P, Shakeb Akhtar, Shahbaz Babar Khan, Mohsin Khan, Manoharan M, Mohd Afjal

“…This study distinctly explores the influence of innovation on manufacturing efficiency within SMEs, employing a stochastic frontier model (SFM) and Tobit regression analysis to scrutinize the effects of innovation inputs. …”
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An analysis of operational efficiency and its influencing factors in traditional Chinese medicine hospitals in Shaanxi Province, China by Jieming Zhang, Yan Li, Huiyang Qu, Penggang Chen

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A medical insurance fund operation performance evaluation system under the DRG payment mode reform by Zijian Wang, Zijian Wang, Zijian Wang, Weifu Chang, Weifu Chang, Aijing Luo, Aijing Luo, Aijing Luo

“…Finally, it explores the key influencing factors by applying the Tobit regression model.ResultsAs the reform of DRG payment methods has advanced, the operational performance scores related to the management, fundraising, utilization, and satisfaction of DRG medical insurance funds have consistently improved. …”
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Analysis of change in patient-reported outcome measures with floor and ceiling effects using the multilevel Tobit model: a simulation study and an example from a National Joint Reg... by Yoav Ben-Shlomo, Andrew Judge, Michael R Whitehouse, Ashley W Blom, Adrian Sayers, Alex J MacGregor

“…Objectives This study has three objectives. (1) Investigate the association between body mass index (BMI) and the efficacy of primary hip replacement using a patient-reported outcome measure (PROMs) with a measurement floor and ceiling, (2) Explore the performance of different estimation methods to estimate change in PROMs score following surgery using a simulation study and real word data where data has measurement floors and ceilings and (3) Lastly, develop guidance for practising researchers on the analysis of PROMs in the presence of floor and ceiling effects.Design Simulation study and prospective national medical device register.Setting National Register of Joint Replacement and Medical Devices.Methods Using a Monte Carlo simulation study and data from a national joint replacement register (162 513 patients with pre- and post-surgery PROMs), we investigate simple approaches for the analysis of outcomes with floor and ceiling effects that are measured at two occasions: linear and Tobit regression (baseline adjusted analysis of covariance, change-score analysis, post-score analysis) in addition to linear and multilevel Tobit models.Primary outcome The primary outcome of interest is change in PROMs from pre-surgery to 6 months post-surgery.Results Analysis of data with floor and ceiling effects with models that fail to account for these features induce substantial bias. …”
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Livelihood diversification and coping strategies: evidence from small-scale fish farmers in Ghana by Samuel Afotey Anang, Kwasi Otchere-Peprah, Daniel Aidoo-Mensah, Nicholas Oppong Mensah, Tekuni Nakuja, Dominic Boateng-Gyambiby

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Enhancing uncertainty quantification in drug discovery with censored regression labels by Emma Svensson, Hannah Rosa Friesacher, Susanne Winiwarter, Lewis Mervin, Adam Arany, Ola Engkvist

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Macro-Level Modeling of Traffic Crash Fatalities at the Scene: Insights for Road Safety by Carlos Fabricio Assunção da Silva, Mauricio Oliveira de Andrade, Cintia Campos, Alex Mota dos Santos, Hélio da Silva Queiroz Júnior, Viviane Adriano Falcão

“…Ordinary least squares (OLS) and censored regression models (TOBIT) were the methodologies used to identify the significant variables explaining the occurrence of deaths on public roads due to crashes. …”
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Digital economy, industrial agglomeration, and green innovation efficiency: empirical analysis based on Chinese data by Jiamin Liu, Yongheng Fang, Yabing Ma, Yihan Chi

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Measurement of the operational efficiency of tertiary public hospitals in Western China: evidence from Guangxi from 2019 to 2022 by Junjie Huang, Junjie Huang, Haitao Yuan, Yanlong Wu, Huiyu Wang, Xinwen Liu, Bo Wei, Mengjian Zhang, Pinghua Zhu

“…The indicators were analyzed using data envelopment analysis with Banker, Charnes and Cooper (DEA-BCC) and Malmquist index models. …”
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The impact and mechanism of digital economy on agricultural development resilience: evidence from China by Xuandeng Xue, Jialin Gao, Shijie Xu

“…Using the panel Tobit model, the mediation effect model and the threshold regression model, the impact effects and the mechanism of digital economy on agricultural development resilience were explored.ResultsThe results show that digital economy has a positive effect on agricultural development resilience, and this conclusion remains valid after a series of robustness tests. …”
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Evaluating the performance of Moroccan social incubators: an SFA analysis of youth platforms under the national initiative for human development by Younes El Maaqili, Mariam Tlemcani Mhandez, Abdessamad Ouchen

“…Research methodology – Based on a sample of 40 NIHD youth platforms, the stochastic frontier analysis (SFA) method was applied to measure their technical efficiency (TE), and then the  determinants of the TE obtained were analysed by a regression using the Tobit model.  …”
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Impact of energy poverty on human capital: a cross-sectional analysis of the rural households in Kano State, Nigeria by Hassan Nuhu Wali, Tanima Dutta, Badayi Sani, Jibril Mohamed Shiekh Isak

“…Descriptive statistics and the Tobit regression model were utilized for data analysis. …”
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Environmental efficiency of Japanese regions before and after the Great East Japan Earthquake by Satoshi Honma, Yoshiaki Ushifusa, Farhad Taghizadeh-Hesary, Soyoka Okamura, Lilu Vandercamme

“…The study also presents potential reduction ratios for energy and undesirable outputs. Panel Tobit regression analysis reveals that gross regional product per capita and tertiary industry share positively correlate with environmental efficiency, suggesting that economic development and service sector growth contribute to environmental improvement. …”
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