“…Finally, the driving factors of CIGTFEE were analyzed through a spatial econometric model. The results indicated that, during the sample research period, the CIGTFEE showed a holistic growth trend with volatility. …”
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“…The data were analyzed in SPSS version 26 using descriptive statistics and an econometric model. The binomial logistic model was used to determine the factors that influence solid waste management activities. …”
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“…We used a panel fixed effects econometric approach to control for observed household, women and children specific characteristics as well as observed and unobserved time‐invariant confounding factors. …”
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“…We measured the economic efficiency and eco-efficiency of Chinese tourist hotels from 2000 to 2019; explored spatial-temporal evolution patterns of their income, carbon emissions, eco-efficiency, and economic efficiency through spatial hotspot analysis and center of gravity analysis; and identified the spatial agglomeration characteristics of such hotels through the econometric panel Tobit model to identify the different driving factors inside and outside the tourist hotel system. …”
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“…The results from the econometric model showed a significant relationship between gender, education, residential area, family size, and income and the adoption of sustainable household consumption practices. …”
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“…To address endogeneity problems, four econometric specifications were estimated: OLS, Heckman two-stage model, fixed- and random-effects models. …”
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“…Firstly, the possibility of spot–futures arbitrage opportunities is identified through econometric models. Then, Exchange-Traded-Fund (ETF)-based portfolios are built to fit the movements of CSI 300 with the least tracking errors. …”
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“…METHODS: Description and analysis of bariatric surgeries rates (per 100,000 inhabitants) performed by SUS in adults from 18 to 65 years old, in the 27 federative units of Brazil, between 2008 and 2018; thus, the econometric methodology of count panel with negative binomial distribution (population-averaged, fixed effects and random effects) was used. …”
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“…In the estimation of demand functions for energy resources, parametric econometric models of energy demand are commonly used to predict future energy needs. …”
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“…However, other studies show that in certain cases it is possible to approximate selected phenomena with Google search queries data. Secondly, the econometric issues related to the suitable modeling of such a problem can be solved, for example, by using Bayesian methods. …”
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“…We constructed different econometric models with Eurostat data for 27 countries and 13 years (2008–2020), whose dependent variable was gross domestic product. …”
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“…This paper used nighttime light data as proxy variables of economic development to calculate the coupling coordination degree between provincial economic development and water resources–ecological management capacity in China from 2004 to 2019 based on the coupling coordination degree model; w constructed a spatial econometric model to explore the spatial correlation and influencing factors between economic development and water resources–ecological management capacity. …”
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“…Based on China’s 2019 environmental protection tax data and China Social Survey (CSS) data, this paper studies the effects of subjective air pollution and the environmental protection tax on residents’ well-being using an econometric mediation effect model. The research conclusions are as follows: (1) Subjective air pollution can significantly reduce residents’ well-being, (2) an environmental protection tax can significantly improve residents’ well-being and it can eliminate some of the negative influence of subjective air pollution on residents’ well-being, and (3) the grouping test of residents’ income, regional distribution, urban and rural structure, age structure, gender structure, and other variables shows that the effects of subjective air pollution on residents’ well-being are heterogeneous among different populations. …”
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“…Next, we conducted an econometric equation controlling for various high-dimensional fixed effects, estimated the effects using the Tobit model, and used various robustness check strategies and the propensity score matching (PSM) method to ensure reliability and deal with the potential endogeneity, respectively. …”
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“…METHODS: A sample of 497 college students from six universities in China was randomly selected, and an econometric analysis using structural equation modeling was conducted with SPSS21.0 and AMOS21.0 to examine their knowledge-sharing behaviors, individual social status, and group performance. …”
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“…Vignettes were valued using composite time trade-off (cTTO) in one-on-one video calls. Several econometric models were fitted to the data to estimate disutilities. …”
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“…METHODS: A sample of 590 Australian adolescents (aged 11–17) completed both the KIDSCREEN-10 and the CHU9D. Several econometric models were estimated, including ordinary least squares estimator, censored least absolute deviations estimator, robust MM-estimator and generalised linear model, using a range of explanatory variables with KIDSCREEN-10 items scores as key predictors. …”
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“…Additionally, the study’s findings will enhance our conceptual understanding of the spectrum of assistive technology outcomes and set the stage for econometric studies assessing cost-effectiveness. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01640470. …”
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“…Different multivariate econometric models were applied in order to capture the association PD on the target variables. …”
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“…Study 1: cost efficiency modelling will apply econometric techniques to data sets from the National Health Service (NHS) Benchmarking Network surveys of community hospital and intermediate care. …”
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