Exploring the nexus between human capital and environmental degradation: The case of EU countries

Çakar, Nigar Demircan; Gedikli, Ayfer; Erdoğan, Seyfettin; Yıldırım, Durmuş Çağrı

doi:10.1016/j.jenvman.2021.113057

Cited by 62 publications

(17 citation statements)

References 47 publications

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“…Li and Ou Yang [ 33 ] argue that human capital increases CO 2 emissions in the short term and reduces CO 2 emissions in the long term. Çakar et al [ 34 ] find that financial development and the development level of human capital affect whether human capital increases or suppresses carbon emissions. Human capital increases carbon emissions in both low regimes of financial development and human capital, and decreases in high regimes.…”

Section: Literature Review and Hypothesis Proposalmentioning

confidence: 99%

“…They propose two kinds of distinct conclusions: one is “promotion viewpoint”, indicating that human capital promotes green growth (or reduces carbon emissions) [ 24 , 25 , 26 , 27 , 28 , 29 ]; the other is “inhibition viewpoint”, arguing that human capital inhibits green growth (or increases carbon emissions) [ 30 , 31 ]. Other literature believes that the relationship between human capital and green growth is uncertain, changing with different time periods, different industries, macroeconomic variables and human capital regime level in various regions [ 32 , 33 , 34 ]. A few studies confirm the possible non-linear relationship between human capital and green growth [ 35 , 36 , 37 ].…”

Section: Introductionmentioning

confidence: 99%

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Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods

Liu

Cao

Fan

2022

IJERPH

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To tackle the increasingly severe environmental challenges, including climate change, we should pay more attention to green growth (GG), a path to realize sustainability. Human capital (HC) has been considered a crucial driving factor for developing countries to move towards GG, but the impact and mechanisms for emerging economies to achieve GG need to be further discussed. To bridge this gap, this paper investigates the relation between HC and GG in theory and demonstration perspective. It constructs a systematic theoretical framework for their relationship. Then, it uses a data envelopment analysis (DEA) model based on the non-radial direction distance function (NDDF) to measure the GG performance of China’s 281 prefecture level cities from 2011 to 2019. Ultimately, it empirically tests the hypothesis by using econometric model and LightGBM machine learning (ML) algorithm. The empirical results indicate that: (1) There is a U-shaped relationship between China’s HC and GG. Green innovation and industrial upgrading are transmission channels in the process of HC affecting GG. (2) Given other factors affecting GG, HC and economic growth contribute equally to GG (17%), second only to city size (21%). (3) China’s HC’s impact on GG is regionally imbalanced and has city size heterogeneity.

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Section: Literature Review and Hypothesis Proposalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods

Liu

Cao

Fan

2022

IJERPH

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“…IT ↑ EQ and investment in physical and human capital ↑ the economy, where as pollution ↓ the economy. Cakar et al. (2021) Panel smooth transition regression From 1994 to 2018, 21 EU countries In low human capital regimes, carbon emissions ↑se, and vise versa Sultana et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Human activities and environmental quality: evidence beyond the conventional EKC hypothesis

Beyene¹

2022

Heliyon

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“…On the one hand, higher levels of education and environmental awareness enable humans to restrict their behavior and actively promote the consumption of green products. More consumption of environmentally friendly products can reduce carbon emissions and reduce environmental degradation [40], improving UECC. On the other hand, the scale, quality, and structure of talent, the concentration of talent resources, and the establishment of technical resource sharing platforms are closely related to the quality of resources and environment [41].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Influencing Factors of Urban Ecological Carrying Capacity Based on a Multiscale Geographic Weighted Regression Model: Evidence from China

Liu

Xie

Zhou

2021

Land

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Based on the comprehensive evaluation method, a comprehensive urban ecological carrying capacity (UECC) evaluation system is established. It includes ecological support, ecological resilience, and ecological pressure. Multiscale geographically weighted regression (MGWR) was used to conduct a thorough examination of the spatial and temporal patterns, and the factors that influenced the UECC of 286 prefecture-level cities in China from 2010 to 2019. The results show that (1) China’s UECC index ranges from 0.0233 to 0.2811 in 2019, which is still at a low level. (2) The spatial distribution is relatively stable: high-value agglomerations of UECC are distributed primarily in the Yangtze River Delta and Pearl River Delta, while low-value agglomerations are primarily distributed in the regions in the Central Plains. (3) All influencing factors have a positive effect on the improvement of UECC and are heterogeneous in spatial distribution. Lastly, this paper gives corresponding suggestions, so that governments can formulate differentiated policies and effectively improve UECC.

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Exploring the nexus between human capital and environmental degradation: The case of EU countries

Cited by 62 publications

References 47 publications

Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods

Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods

Human activities and environmental quality: evidence beyond the conventional EKC hypothesis

Research on the Influencing Factors of Urban Ecological Carrying Capacity Based on a Multiscale Geographic Weighted Regression Model: Evidence from China

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