Causal Relationship between Education, Carbon Dioxide (CO2 ) Emission and Economic Growth in Bangladesh

Uddin, Mirza Md Moyen

doi:10.9790/0837-19486067

Cited by 23 publications

(15 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The empirical studies on the nexus between education and CO 2 emissions have stayed inconclusive in line with the theoretical considerations. Duarte et al [41], Uddin [29], Wang et al [42], Li and Ullah [43] revealed a decreasing effect of education on CO 2 emissions, but Li and Zhou [44] and Zafar et al [45] discovered an increasing effect of education on CO 2 emissions. Furthermore, Khan [46] and Cui et al [47] reached findings incompatible with the EKC hypothesis.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Duarte et al [41] explored the factors underlying CO 2 emissions in Spanish households and discovered that higher education levels decreased the CO 2 emissions. On the other hand, Uddin [29] investigated the effect of education on CO 2 emissions in Bangladesh for the 1974-2010 period with cointegration analysis and pointed out that education decreased the CO 2 emissions by increasing the environmental awareness. Wang et al [42] also analyzed the influence of education on environmental attitudes in China employing data from the Chinese General Social Survey of 2010 version and revealed that education fostered pro-environmental behaviors, but the impact of education on environmental behaviors was heterogeneous among the persons.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Education can contribute to environmental quality by raising environmental awareness and developing green and energy-efficient technologies and renewable energy production [29,30]. However, education can negatively influence the environmental quality by fostering economic growth through human capital, innovation, competitiveness, and entrepreneurship depending on the economic development levels of the countries in the context of the EKC hypothesis.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Economic Freedom, Education and CO2 Emissions: A Causality Analysis for EU Member States

Sart

Bayar

Danilina

et al. 2022

IJERPH

View full text Add to dashboard Cite

Environmental sustainability is one of three pillars of sustainability. However, a significant worldwide deterioration in the environment has been experienced since the Industrial Revolution, but the efforts to protect the environment date back to the 1970s. In this context, many economic and non-economic factors underlying environmental degradation have been investigated until today, but the influence of economic freedom indicators and education on the environment have been relatively less analyzed and the researchers have mainly focused on the influence of economic and institutional variables on the environment. Therefore, this paper investigates the reciprocal interplay among economic freedom indicators, education, and environment in EU member states over the 2000–2018 term by using a causality test with cross-sectional dependency and heterogeneity and taking the research gap into consideration. The causality analysis indicates that market-oriented economic structure and education can be beneficial in combatting environmental degradation.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Economic Freedom, Education and CO2 Emissions: A Causality Analysis for EU Member States

Sart

Bayar

Danilina

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Therefore, Indian regions with a higher level of education seem to have experienced a lesser amount of environmental degradation. Uddin (2014) tested the relationship among education (proxied by education expenditures), environmental pollution (proxied by CO2) and economic growth in Bangladesh and found a strong positive relationship among environmental pollution, education expenditure and economic growth. Ekperiware et al (2017) examined the coordinating role of human capital among the three pillars of sustainable development in Nigeria.…”

Section: Literaturementioning

confidence: 99%

Is Education Compulsory for Environmental Quality An Empirical Study on EKC and Education Nexus

Balin¹

2021

berj

View full text Add to dashboard Cite

Studies analyzing the environmental impacts of economic growth and considering the nexus between the stages of development remain popular since the 90s. The Environmental Kuznets Curve (EKC) hypothesis suggests that there is an inverted-Ushape relationship between per capita income and damage to the environment. Within the vast EKC literature, various variables that may have an impact on environmental pollution were included in the models. However, studies examine the effect of education on environmental quality are relatively new. In this study, the EKC hypothesis is tested in terms of per capita income and education level by using data from the period of 1998-2014 of 47 countries. Environmental pollution is measured by carbon dioxide per capita; income level is measured by GDP per capita, and education level is measured by the number of students enrolled in tertiary education and the share of public expenditures on education in GDP. According to the empirical findings; (i) The Environmental Kuznets Curve hypothesis is confirmed for only the number of students enrolled in tertiary education, (ii) there is a significant and negative relationship between the share of public expenditures on education in GDP and CO2 emissions. Therefore education can be evaluated as a powerful tool for environmental policy.

show abstract

“…The policymakers and researchers argue that higher education and economic growth are closely related due to several implications for technological development and knowledge. But there is an insu ciency of empirical literature on the nexus between environmental pollution and higher education, revealing that economists and environmentalists have paid diminutive consideration to this imperative issue (Uddin 2014). The available literature on this issue represents two strands of research.…”

Section: Introductionmentioning

confidence: 99%

Does educational attainment matter for Environmental Kuznets Curve? Evidence from aggregated and disaggregated time series data of China

Cui¹,

Wei²,

Xue³

et al. 2021

Preprint

View full text Add to dashboard Cite

The primary focus of this study is to evaluate the impact of various levels of education on CO2 emissions in China. Moreover, the study also tested the EKC hypothesis for different levels of education and economic development. The analysis employed disaggregate and aggregate data for education that included enrollment at primary, secondary, and tertiary levels and the average year of schooling. For empirical analysis, we employed an error correction model and bounds testing approach to cointegration. The results of the study provided some useful information both in the short and long run. All the proxies of education positively impact CO2 emissions at the initial level both in the short and long run; however, when we take the square of these variables, the effects of education on CO2 emissions become negative. Similarly, the impact of economic growth on CO2 emissions is positive in the short and long run, and the square of economic growth on CO2 emissions is negative, supporting the EKC hypothesis.

show abstract

Causal Relationship between Education, Carbon Dioxide (CO2 ) Emission and Economic Growth in Bangladesh

Cited by 23 publications

References 8 publications

Economic Freedom, Education and CO2 Emissions: A Causality Analysis for EU Member States

Economic Freedom, Education and CO2 Emissions: A Causality Analysis for EU Member States

Is Education Compulsory for Environmental Quality An Empirical Study on EKC and Education Nexus

Does educational attainment matter for Environmental Kuznets Curve? Evidence from aggregated and disaggregated time series data of China

Contact Info

Product

Resources

About