To what extent do high school students’ course grades align with their scores on standardized college admission tests? People sometimes make the argument that grades are “inflated”, but many school districts only use outcome-based d...
Energy is one of the most important drivers of economic growth, but as the population is increasing, in normal circumstances, in all countries of the world, there is a demand for energy produced from conventional resources. Increasing prices of conve...
Respiratory mortality in Europe is associated with interacting environmental, infrastructural, climatic, and energy-related conditions. This study investigates country–year patterns of respiratory disease mortality by integrating panel-data eco...
Economic data is highly dependent on its arrangement within space and time. Perhaps the most obvious and important definition of space is geospatial configuration on the Earth’s surface. Consideration of geospatial effects produces a dramatic improve...
Efficient irrigation water management is critical in regions subject to high hydroclimatic variability, where agricultural production strongly depends on how water resources are allocated and used. The objective of this study was to quantify the effe...
The simplified tax system is the most common special tax regime in the Russian Federation in terms of the number of taxpayers. Tax revenues from the simplified tax system account for 6% of the structure of tax revenues of the consolidated budgets of...
The European Union Framework Programmes constitute one of the main instruments for promoting research and innovation at a supranational scale. Although their linkages with scientific and technological output are widely recognized, empirical evidence...
Emission reduction strategies based on provinces are key for China to mitigate its carbon emission intensity (CEI). As such, it is valuable to analyze the driving mechanism of CEI from a provincial view, and to explore a coordinated emission mitigati...
Creative industry is considered the driver of modern urban development. It raises the new wave of issues of re-industrialization policy in single-industry towns. Nevertheless, the algorithms of current mathematical modeling in regional economies are...
With the speedy growth of economic development, the imbalance of energy supply and demand pose a critical challenge for the energy security of our country. Meanwhile, the increasing and excessive energy consumption lead to the greenhouse effect and a...
This study contextualizes the role of institutional frameworks in global economic transformations by evaluating how access to justice (ATJ)—as a key dimension of the broader rule-of-law environment—and judicial infrastructure shape macro-...
11 August 2019
Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple...
The EU Timber Regulation (EUTR) is a key element in the efforts of the European Union to curb the trade in illegal timber products. This study helps to remedy the lack of systematic, statistical analysis of the EUTR’s potential impacts on internation...
Nighttime light data are often used to estimate some socioeconomic indicators, such as energy consumption, GDP, population, etc. However, whether there is a causal relationship between them needs further study. In this paper, we propose a causal-effe...
This study proposes a method for identifying and evaluating driving risk as a first step towards calculating premiums in the newly emerging context of usage-based insurance. Telematics data gathered by the Internet of Vehicles (IoV) contain a large n...
Renewable natural capital, one component of the comprehensive wealth whose maintenance per head defines sustainability in wealth accounting, is falling per capita across most of the world. This study asks what the decline records and whether environm...
We aim to predict Hungarian corn yields for the period of 2020–2100. The purpose of the study was to mutually consider the environmental impact of climate change and the potential human impact indicators towards sustaining corn yield developmen...
The scientific evaluation and identification of the relationship between urban comprehensive carrying capacity and urbanization in Northeast China, a famous old industrial base, is an important basis for realizing the overall revitalization of the re...
This study aims to empirically investigate the effect of Science, Technology, and Innovation Official Development Assistance (STI ODA) on the innovative capacity of developing countries. Particularly, this study attempted to examine the moderating ef...
Based on recent findings of the economic literature on the implications of entrepreneurial innovation for recycling municipal waste, this paper aims to examine the main factors of recycling municipal waste at the European Union (EU) level. In this st...
Although transport infrastructure is one of the prominent factors that make Spain a major tourist destination, the international literature has revealed that the opening of new High-Speed Rail (HSR) lines is not sufficient by itself in order to incre...
Introduction. Road safety issues occupy scientists around the world. This study is aimed at creating a comprehensive digital model that will become a tool for developing recommendations for improving road safety in the regions of the Russian Federati...
Growing concerns regarding resource efficiency, economic uncertainty, and energy-market volatility have renewed interest in the relationship between material-use patterns and macroeconomic stability. Recent global disruptions affecting production sys...
Transfer pricing has become a major channel through which multinational enterprises shift profits across countries. This study examines the macroeconomic and institutional determinants of transfer pricing in seven European economies (France, Spain, G...
We estimate fundamental pricing relationships in selected European day-ahead electricity markets. Using a fractionally integrated panel data model with unobserved common effects, we quantify the responsiveness of hourly electricity prices to two fund...
Management of financial risks and sound decision making rely on the accurate information and predictive models. Drawing useful information efficiently from big data with complex structures and building accurate models are therefore crucial tasks. Mos...
This paper investigates the presence of spatial spillovers in firms’ productive (in)efficiency. For this purpose, a spatial stochastic frontier model is specified and estimated, accounting for spatial dependence and persistent and transient (in)effic...
This research aims to present a holistic view of sustainable investments on firm performance by exploring the dimensions of sustainable investments and firm performance concerning Indian private and publicly listed companies. Panel data regression ha...
This study analyzes the determinants and spatial dependence of happiness across the 27 European Union Member States during 2015–2024. It uses a panel of 270 observations based on the Cantril Ladder and the six explanatory factors from the World...
The intersection of financial innovation and environmental sustainability offers important opportunities for low- and middle-income (LMI) countries. This study examines the association between FinTech investment, geopolitical-economic uncertainty, ur...
Post-disaster reconstruction programmes create an irreversible window for embedding or foreclosing residential energy efficiency at scale. This study examines the structural determinants of per capita residential electricity consumption (K_MES) acros...
The accelerating demand for climate action has underscored the need to link financial innovation with clean energy adoption. This study examines the interplay between green finance, renewable energy consumption, and CO2 emissions across 15 countries...
In recent years, the European Union has played a key role in global efforts to combat climate change and the energy transition, focusing on creating fiscal, legal and regulatory policies and instruments capable of supporting the decarbonization proce...
Nuclear power is usually treated as a determinant of emissions rather than as an outcome to be explained, and the few studies that explain it examine environmental, social and governance conditions one pillar at a time. Using an unbalanced panel of t...
Although financial performance at the firm level is understudied in Latin American educational sector, the theory predicts firm size as one of its main correlates. Using near-census level panel data (12,031 firm-year observations, 2968 firms, 2015&nd...
The transition to low-carbon energy systems depends on national innovation systems generating climate mitigation technologies. This study examines how environmental policy stringency and trade openness shape green patenting (IPC/CPC class Y02), using...
This paper examines how circular economy (CE) policies relate to sustainable economic growth and environmental sustainability across eight major emerging economies between 2005 and 2023, with particular attention to how that relationship shifts acros...
This study aims to evaluate the sustainability performance of EU regions through a comprehensive and data-driven Environmental, Social, Governance (ESG) framework, addressing the increasing demand for regional-level analysis in sustainable finance an...
This paper considers a linear panel data model with time varying heterogeneity. Bayesian inference techniques organized around Markov chain Monte Carlo (MCMC) are applied to implement new estimators that combine smoothness priors on unobserved hetero...
Europe measures the innovative performance of its regions largely by counting patents, and allocates public resources accordingly. This paper asks what regional patenting reflects, using Regional Innovation Scoreboard data for 245 European regions ob...
This paper presents a comprehensive analysis of key financial indicators influencing the operational efficiency of banks in Jordan over the period 2006 to 2021. The study, focusing on fifteen commercial banks, employs seven regression models to asses...
This research evaluates the determinants of pollution emissions, considering the human development index, international trade, renewable energy, and foreign direct investment (FDI) as explanatory variables. This study tests the relationship between t...
This paper examines the little-known connection between econometrics and accounting invoked by Paweł Ciompa, who first introduced the term econometrics in 1910. Since then, research in accounting and in statistical (econometric) analysis has dev...
This paper provides an example of several modeling and econometric advances used in the panel estimation of energy demand elasticities. The paper models the demand of total, industrial, and transport energy consumption and residential and commercial...
The log-linearized present value model (PVM) has been widely used in corporate finance to understand the long-run relationship between share price and dividends using panel data. However, the application of recently established panel econometric appr...
This research aims to test the impact of environmental taxes on pollution emissions in 38 OECD countries from 1995 to 2022. The study used an econometric strategy of panel data (FMOLS, DOLS, quantile regression, and the GMM system). The variable of e...
This study examines the relationship between rural land circulation and common prosperity across 30 Chinese provinces over the period 2010–2022. We construct a multidimensional common prosperity index based on economic development, income distr...
Greenhouse gas (GHG) emission-induced climate change, particularly occurring since the mid-20th century, has been considerably affecting short-term weather conditions, such as increasing weather variability and the incidence of extreme weather-relate...
Selecting the relevant covariates in high-dimensional panel data remains a central challenge in applied econometrics. Conventional fixed effects and random effects models are not designed for systematic variable selection under model uncertainty. In...
The increasing integration of Environmental, Social, and Governance (ESG) practices into corporate strategy has raised important questions about their financial implications. This study examines the relationship between ESG performance and financial...
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