scholarly journals The environmental Kuznets curve at different levels of economic development: a counterfactual quantile regression analysis for CO2emissions

2015 ◽  
Vol 4 (3) ◽  
pp. 278-303 ◽  
Author(s):  
Natina Yaduma ◽  
Mika Kortelainen ◽  
Ada Wossink
Keyword(s):  
Economic Development ◽  
Regression Analysis ◽  
Quantile Regression ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Quantile Regression Analysis ◽  
Different Levels

Reformulating the tourism-extended environmental Kuznets curve: A quantile regression analysis under environmental legal conditions

2020 ◽  
pp. 135481662091255
Author(s):  
Natalia Porto ◽  
Matías Ciaschi
Keyword(s):  
Quantile Regression ◽  
Latin American ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Tourism Sector ◽  
Quantile Regression Analysis ◽  
Tourism Activity ◽  
Novel Approaches ◽  
Latin American Countries

This work aims to empirically study the environmental Kuznets curve (EKC) in a model that takes into account the tourism sector. We use two novel approaches in this framework: an own developed environmental legal index and an instrumental quantile regression methodology. Our study comprises 18 Latin American countries between 1995 and 2013. We have found that tourism activity causes carbon emissions increases but, because of the restrictions imposed by environmental regulations, further tourism activity can mitigate these adverse environmental effects, mainly in high-polluted countries. These results suggest a step forward in the tourism-extended EKC estimations: they indicate the need for analysis considering the heterogeneities in environmental conditions across countries and the role of environmental regulation within this framework.

scholarly journals Association between leukocyte telomere length and sex by quantile regression analysis

2021 ◽  
Author(s):  
Fernanda Gutierrez-Rodrigues ◽  
Raquel M. Alves-Paiva ◽  
Natália F. Scatena ◽  
Edson Z. Martinez ◽  
Priscila S. Scheucher ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Telomere Length ◽  
Leukocyte Telomere Length ◽  
Quantile Regression Analysis

scholarly journals Export Diversification and Ecological Footprint: A Comparative Study on EKC Theory among Korea, Japan, and China

2018 ◽  
Vol 10 (10) ◽  
pp. 3657 ◽  
Author(s):  
Hongbo Liu ◽  
Hanho Kim ◽  
Shuanglu Liang ◽  
Oh-Sang Kwon
Keyword(s):  
Economic Development ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Developed Countries ◽  
Product Diversification ◽  
Policy Implications ◽  
Export Market ◽  
Kuznets Curve ◽  
Export Product ◽  
Export Product Diversification

This study examines the Environmental Kuznets Curve (EKC) hypothesis by adopting a country’s ecological footprint as an indicator of environmental degradation in three East Asian countries: Japan, Korea, and China. During the development process, countries intend to balance between stabilizing export demand and maintaining sustainable economic improvement in the context of deteriorating global warming and climate change. The Environmental Kuznets Curve (henceforth, EKC) was originally developed to estimate the correlation between environment condition and economic development. In this paper, we started from the EKC model and adopted an Error Correction Methodology (henceforth, ECM) to estimate the EKC relationships in Japan, Korea (two developed countries), and China (a developing country) over the period of 1990 to 2013. Besides this, instead of only using Gross Domestic Product (henceforth, GDP), two subdivisions of trade diversification—export product diversification and export market diversification—are introduced as proxy variables for economic development in rectification of the EKC. The results demonstrate that both Korea and Japan satisfy the EKC theory by demonstrating an inverted U-shaped relationship between economic development and ecological footprint, while analysis based on data from China does not display the same tendency. For both export product diversification and market diversification, the more diversified the country’s export is, the bigger its ecological footprint. The policy implications of this econometric outcome are also discussed.

Determinants of liquidity in Malaysian SMEs: a quantile regression approach

2018 ◽  
Vol 67 (9) ◽  
pp. 1566-1584 ◽  
Author(s):  
Shaista Wasiuzzaman
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Emerging Market ◽  
Developed Countries ◽  
Data Availability ◽  
Firm Level ◽  
Liquidity Management ◽  
Ols Regression ◽  
Content Type ◽  
Quantile Regression Analysis

PurposeThe management of liquidity has always been seen as a critical but often ignored issue in finance. Despite the abundance of studies on liquidity management, these studies mainly focus on developed countries and on large firms. Liquidity is critical for the small firm but studies on liquidity management in small and medium enterprises (SMEs) are lacking. The purpose of this paper is to examine the firm-level determinants of liquidity of SMEs in Malaysia.Design/methodology/approachData are collected for a total of 986 small firms in Malaysia from 2011 to 2014, resulting in a total of 2,683 observations. Firm-specific variables and the effect of the economy are considered as the possible determinants of liquidity. Ordinary least squares (OLS) regression analysis with standard errors adjusted for firm-level clustering and quantile regression analysis are used for this purpose.FindingsAnalysis using OLS regression technique indicates that a firm’s profitability, its growth, asset tangibility, size, age and firm status are significant factors in influencing its liquidity decision. Leverage and economic condition are not found to have any significant influence on liquidity. However, quantile regression analysis provides a different picture especially for SMEs with liquidity at the quantile levels ofθ=0.10 and 0.90. Atθ=0.10, only profitability, tangibility and firm status are significant, while atθ=0.90, tangibility, size, firm status and, to some extent, age are significant in influencing liquidity levels.Originality/valueTo the author’s knowledge, this is the first study analyzing the liquidity decision of SMEs in an emerging market such as Malaysia. Most studies on liquidity management of SMEs are focused on developed countries due to data availability but these studies are also only a handful. Additionally, this study uses quantile regression analysis which highlights the need to analyze financial decisions at different levels rather than at the aggregate level as done in OLS regression analysis.

Absenteeism and performance in a quantitative module A quantile regression analysis

2016 ◽  
Vol 8 (3) ◽  
pp. 376-389 ◽  
Author(s):  
Pranab Kumar Pani ◽  
Pallavi Kishore
Keyword(s):  
Regression Analysis ◽  
Academic Performance ◽  
Learning Styles ◽  
Quantile Regression ◽  
United Arab Emirates ◽  
Classroom Environment ◽  
Negative Impact ◽  
Content Type ◽  
Quantile Regression Analysis ◽  
And Performance

Purpose – There is growing evidence that learning is faster, measurably better and more productive in a classroom setting when a student attends classes regularly. Each student brings in his/her experience, skills, and unique learning styles to a class – thus a classroom environment can potentially create positive externalities through which a student can gain substantially from various strengths of his/her peers. However, students do remain absent from their classes for a variety of reasons. One of the measurable effects of regular non-attendance in a university class, where students from various cultures and regions interact, is the academic performance. The purpose of this paper is to determine if there is any potential causal link between absenteeism (attendance) and academic performance. Design/methodology/approach – Data were culled from the records of three batches of students in a British university campus in the Middle East. Quantile regression methods were used to establish the causal relationship between absenteeism and academic performance. Findings – A quantile regression analysis reveals that absenteeism has negative impact on academic performance. This also suggests that low performers are worse affected by absenteeism as compared to the high performers. Research limitations/implications – Inclusion of some other factors, such as study habits, additional hours spent on quantitative modules, student’s ethnicity background, particularly in the context of United Arab Emirates, could have emboldened the robustness of the study. Non-availability or paucity of this information, to some degree, has limited the conclusions of this study. Originality/value – Proponents of mandatory attendance argue that there is a positive correlation between attendance and performance. But, one very important issue which gets overlooked is who actually benefits more by attending classes – are the shirkers who have a poor attendance record or the ones who are more sincere, more regular, and active participants in a class? This study uses quantile regression analysis to address this issue.

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