Economic Growth and Firm Size Dynamics: Evidence from Romania’s Development Regions by Daniel Badulescu, Alina Badulescu, Ramona Simut, Dragos Dianu

“…In this paper, we propose an econometric approach to the relationship between economic growth (by GDP evolution) and the dynamics of the firms’ sector, by size class, at the level of the development regions of Romania. …”
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MODELING DOMESTIC TOURISM DEMAND IN GALICIA USING THE ARDL APPROACH by MANUEL GONZÁLEZ-GÓMEZ, MARCOS ÁLVAREZ-DÍAZ, MARISOL OTERO-GIRÁLDEZ PhD, Department of Applied Economics, University

“…Once the main influencing factors are known, we construct an econometric model using a general-tospecific ARDL modeling procedure. …”
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Façonner la prescription, influencer les médecins by Jérôme Greffion, Thomas Breda

“…But how can we reconcile this analysis on one hand and the fact that many physicians deny the influence of drug promotion on their practice and the results of econometric studies underlining the weak effect of drug detailing on the other hand? …”
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Diversité des capitalismes et dispositifs institutionnels environnementaux by Luc Elie

“…Finally, the third chapter focuses on how levels of inequality, which are largely dependent on different forms of capitalism, can influence the adoption of EID. By means of an econometric analysis, we attempt to determine which mechanisms are most likely to explain this phenomenon.…”
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The Cyclicality of Loan Loss Provision in Brazilian Commercial Banks by Antônio Maria Henri Beyle de Araújo, Paulo Roberto Barbosa Lustosa, José Alves Dantas

“…The purpose of this paper is to analyze the relationship between banks’ provisioning for credit losses and business cycles in Brazil, in an attempt to confirm its nature, a condition capable of avoiding potentiating the effects of economic contraction or expansion. Using an econometric model with accounting and macroeconomic variables, the survey involved 91 commercial banks in the period from 2001 to 2012. …”
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The use of DEA (Data Envelopment Analysis) methodology to evaluate the impact of ICT on productivity in the hotel sector by Cidália Leal Paço, Juan Manuel Cepeda Pérez

“…The main aim of this paper is to analyse the nonparametric technique used in many studies of the hospitality sector. The econometric frontier approach – DEA (Data Envelopment Analysis) – allows the use of multiple inputs/outputs without imposing any functional form on data or making assumptions of inefficiency. …”
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Research on Financial Accounting of GDP Index Based on Numerical Simulation by Bo Li

“…Finally, by analyzing the relationship between green GDP and main supporting indicators, the accounting method of GDP indicators based on numerical simulation was proposed, and the accounting result detection model based on the econometric model was given. Through empirical analysis, it showed that the GDP accounting method proposed in this paper has good feasibility and effectiveness and can effectively reflect the development of the economic operation. …”
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Analysis on the Adjustment of Marine Economic Industrial Structure Based on the Least Square Regression Model by Zhen Ma

“…Three comparisons of marine economic industrial structure and per capita output value coefficient of the marine industry are selected as scientific measurement indexes, the ratio of regional entropy to the output value of marine scientific research management service industry is selected as the height analysis index, and the econometric model is constructed according to the influence of the scientificity and advancement of marine economic industrial structure on marine economic GDP. …”
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A SDGs-oriented evaluation of the ecological sustainability of international horticultural exposition sites in Chengdu, China by Biao Huang, Haolin Yang, Kankan Shang, Ruoyu Wang, Yufei Meng, Hongming Peng, Yonghong Hu, Zehui Jiang

“… This study employs the AHP-entropy weight methodology and a spatial econometric regression model to evaluate the ecological sustainability and its changes between the current situation and the planning scenario at the 2024 Chengdu International Horticultural Exposition in China. …”
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Can Smart City Policy Facilitate the Low-Carbon Economy in China? A Quasi-Natural Experiment Based on Pilot City by Shuangshuang Fan, Shengnan Peng, Xiaoxue Liu

“…For this purpose, we developed a nonconvex meta-frontier data envelopment analysis (DEA) approach to measure LCE and used the differences-in-difference (DID) analysis method in the econometric model to empirically analyze the impact of SCP on LCE, using the dataset of 230 cities from 2005 to 2018. …”
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Carbon reduction effects of government digital attention by Rong Hu, Kaiyi Song

“…This paper uses text analysis to measure the government digital attention at the city level, and then uses panel data econometric models to estimate the impact of government digital attention on carbon emissions reduction. …”
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Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks by Narayanan Manikandan, Srinivasan Subha

“…This paper addressed some architectural design related issues for performance improvement through vectorising the strengths of multivariate econometric time series models and Artificial Neural Networks. …”
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Projection of the Spatially Explicit Land Use/Cover Changes in China, 2010–2100 by Yongwei Yuan, Tao Zhao, Weimin Wang, Shaohui Chen, Feng Wu

“…This study predicted the future structure of land use/cover on the basis of the Global Change Assessment Model (GCAM) and an econometric model with the socioeconomic factors as the driving forces. …”
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Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors by Huadi Wang, Shaogui Xu, Qiuyi Xie, Jianying Fan, Nianxing Zhou

“…Based on the super efficiency DEA model, Malmquist index, and spatial econometric model, this article measures the static and dynamic tourism efficiency of 11 provinces and cities in eastern China for 2010 to 2019. …”
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The Role of Innovative Products in Creating Competitive Advantages in the Food Supplements Market: The Experience of Herbamama LLC by Vladimir Kochney

“…This research assesses how innovative products increase Herbamama LLC's competitive edge in its industry-leading position. The study applies econometric analysis to existing financial and operational company records to evaluate how innovation affects Herbamama LLC along with marketing intensity, customer engagement and geographical extent on competitive supremacy. …”
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Impact of land prices on corporate carbon emission intensity by Lin Guo, Ying Liu, Zeqing Jiang, Xiaoping Yuan, Qi Jing

“…Using a unique dataset of Chinese industrial enterprises from 2000 to 2014, we employ a two-way fixed effects econometric model, alongside instrumental variable and Difference-in-Differences (DID) techniques, to address endogeneity concerns. …”
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STEM salaries in Russia: the importance of human capital and institutional factors by A. E. Putintseva

“…Mintzer wage equation is used as the main econometric model. The results show that the level of financial compensation increases when a STEM specialist has higher education, works in a large and commercial organization. …”
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Volatility spillovers and conditional correlations between oil, renewables and stock markets: A multivariate GARCH-in-mean analysis by Wenxue Wang, Peter G. Moffatt, Zheng Zhang, Muhammad Yousaf Raza

“…We use daily data from 2008 to 2021. The econometric framework adopted is the VARMA-DCC-GARCH-in-mean model. …”
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Nonlinear Effects of Environmental Regulation on Environmental Pollution by Yuncai Liu, Nengsheng Luo, Shusheng Wu

“…It then establishes some dynamic spatial autoregressive nonlinear econometric models to test the theoretical hypothesis based on 30-area panel data from 2004 to 2016. …”
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Digital Financial Inclusion, Spatial Spillover, and Household Consumption: Evidence from China by Yao Li, Haiming Long, Jiajun Ouyang

“…Considering geographical connectivity characteristics, we examine the effects of digital financial inclusion on household consumption by applying spatial econometric models and using data from 31 provinces in China from 2013 to 2018. …”
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