Assessing the Coordination Development Level of Agricultural Economy and Ecology in China: Regional Disparities, Dynamics, and Barriers by Lei Zhan, Xiaoying Huang, Zihao Xu, Zhigang Huang

“…Using multi-factor econometric methods, we comprehensively evaluate the coordination between China’s agricultural economy and ecosystems, revealing regional disparities and spatiotemporal variations in their coupling coordination, and analyzing the barriers affecting this coordination. …”
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Carbon dioxide emissions, forest area, and economic growth of SAARC countries: Evidence from FMOLS approach by Yadav Mani Upadhyaya, Khom Raj Kharel, Omkar Poudel, Pramshu Nepal

“…This study uses a panel dataset that spans South Asian countries from 1990 to 2020 for econometric analysis. The Fully Modified Least Squares (FMOLS) method adds annual forested area to the regression model. …”
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Innovative ecosystems behind regional smart specializations: The role of social, cognitive and geographical proximity by Elżbieta Wojnicka-Sycz, Marcin Kaczyński, Piotr Sycz

“…The applied methods are desk research, web site queries, a literature review, statistical data analysis, as well as direct research based on a survey and econometric analysis of the results of the survey. The article responds to the lack of studies on smart specializations in the context of proximity.…”
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Spatial-temporal characteristics and drivers of urban built-up areas land low-carbon efficiency in China by Jin Guo, Pengfei Feng, Han Xue, Jinli Xue

“…This study applies the Global Data Envelopment Analysis (DEA) model, the Global Malmquist-Luenberger Index, and econometric models to evaluate low-carbon efficiency and its determinants across China’s urban built-up areas from 2010 to 2022. …”
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Does investor's sentiment affect industries' return? – A case of selected Indian industries by Amit Rohilla, Neeta Tripathi, Varun Bhandari

“…The autoregressive distributed lag (ARDL) model and other sophisticated econometric techniques such as the unit root test, the cumulative sum (CUSUM) stability test, regression, etc. have been used to achieve the objectives of the study. …”
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Eucalyptus-based livelihoods: enhancing household food security and resilience in Northwest Ethiopia by Fasika Belay, Fasika Belay, Messay Mulugeta, Teferee Makonnen

“…The results of the independent sample t-test revealed a statistically significant difference in average scores for the Household Food Insecurity Access Scale (M = 8.06 compared to 11.29) and the Household Dietary Diversity Score (M = 5.28 compared to 4.73) between households with and without eucalyptus plantations. The econometric analysis revealed that variables such as total land holding size, annual income, and livelihood diversification had a positive influence on the probability of a household being categorized as food secure. …”
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Models of technological development: The influence of investment structure by Vilhelmina V. Glazunova, Oleg S. Sukharev

“…The paper employs elements of structural, statistical, regression and econometric analysis, as well as applies taxonomy methods to pinpoint various options for investment and technological modernisation models. …”
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SYSTEMATIC RISK ASSESMENT USING OLS METHOD - THE CASE OF THE CAPITAL MARKET OF BOSNIA AND HERZEGOVINA by Azra Zaimović

“…As in most other new markets, this market has a non-synchronous trading problem, which determined the selection of the sample used in the econometric analysis. A representative sample of stocks with satisfactory marketability is analyzed over a five-year period, i.e. 2005-2009. …”
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Economic Aspects of Cash Access Problems by Arkadiusz Manikowski

“…Further research should include econometric modeling using logit/probit models. Originality/value: The obtained results are the first on the impact of access to cash on financial exclusion in Poland and consistent with the situation in other European countries. …”
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COMMUNICATION OF THE CENTRAL BANK AS A DETERMINANT OF THE CREDIBILITY AND EFFECTIVENESS OF THE MONETARY POLICY ON THE EXAMPLE OF THE EUROPEAN CENTRAL BANK by Piotr Misztal

“…The study used research methods based on the literature analysis on the subject in the field of banking and finance, as well as statistical and econometric methods (Granger causality analysis and the generalised linear model – GLM). …”
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THE RELATIONSHIP BETWEEN RENEWABLE ENERGY CONSUMPTION AND HUMAN DEVELOPMENT by Aliona Balan

“…The analysis, spanning from 1995 to 2021, employs econometric techniques, including Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) regression, to investigate the impact of renewable energy on the Human Development Index (HDI). …”
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Green finance, environmental taxation, and green innovation: unraveling their influence on the growth- quality nexus in China—a provincial perspective by Md Qamruzzaman

“…For this purpose, we employed a comprehensive econometric approach through longitudinal data, and different models included Two-step GMM, Two-step system-GMM, and CS-ARDL. …”
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Modelling Customs Revenue in Ghana Using Novel Time Series Methods by Diana Ayorkor Agbenyega, John Andoh, Samuel Iddi, Louis Asiedu

“…Predominant amongst the existing models are the econometric models (the GDP-based model, the monthly receipts model, and the microsimulation model), which are laborious and sometimes unreliable when studying trends in time series data. …”
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SYSTEMATIC RISK ASSESMENT USING OLS METHOD - THE CASE OF THE CAPITAL MARKET OF BOSNIA AND HERZEGOVINA by Azra Zaimović

“…As in most other new markets, this market has a non-synchronous trading problem, which determined the selection of the sample used in the econometric analysis. A representative sample of stocks with satisfactory marketability is analyzed over a five-year period, i.e. 2005-2009. …”
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Which Dimensions of Entrepreneurial Orientation Drive Firm Performance in Hostile Environments? Lessons From the Pandemic Crisis by Marcin Suder

“…The study adopts a unique perspective, focusing on retrospective assessments by entrepreneurs and managers rather than traditional econometric measurement techniques. Design/methodology/approach: A quantitative study was conducted, collecting data from 145 owners, managers, and supervisors of small companies in the printing industry in Poland. …”
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Understanding the county-level relationship between population change and ecological environment quality dynamic in China, 2000–2020 by Mingxing Zhong, Qingqing Liu, Xinyue Hu

“…This study, leveraging multi-source remote sensing and census data from China for the years 2000, 2010, and 2020, utilized multiple spatial econometric models to investigate the pressure of population dynamics on Ecological Environment Quality (EEQ). …”
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Rethinking the measurements and predictors of environmental degradation in Ethiopia: Predicting long-term impacts using a kernel-based machine learning approach by Tesfaye Etensa, Tekie Alemu, Mengesha Yayo

“…The relationships among these predictors are complex, often nonlinear, non-additive, and include reverse causality, making it difficult for traditional econometric models to capture them. Conventional CO₂ metrics also tend to overlook unique emission sources in developing countries, where emissions are closely linked to energy production, unsustainable agriculture, deforestation, and land use rather than industry. …”
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THE IMPACT OF GENDER DIVERSITY ON EARNINGS QUALITY OF LISTED FINANCIAL SERVICES FIRMS IN NIGERIA: ANALYSIS OF TWO-STAGE LEAST SQUARES by Joseph Olorunfemi Akande

“…Additionally, Generalized Least Squares (GLS) and Feasible Generalized Least Squares (FGLS) methods were applied to handle heteroskedasticity and autocorrelation issues. The econometric model assessed earnings quality as the dependent variable, with female financial experts, female CEOs, and female board members of foreign nationality. …”
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WORKLOAD DYNAMICS OF MEDICAL PROFESSIONALS IN BULGARIAN HEALTHCARE SYSTEM: EVIDENCES FROM AGGREGATE DATA by Nikolay Atanasov, Krikor Indjian

“…Material/Methods. Basic econometric methods, such as tests for structural breaks and dynamic rows modeling based on "macro-" or aggregate data, are implemented. …”
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