4.7 Article

Identifying the impacts of human capital on carbon emissions in Pakistan

期刊

JOURNAL OF CLEANER PRODUCTION
卷 183, 期 -, 页码 1082-1092

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2018.02.008

关键词

Human capital; Carbon emissions; Energy consumption; Economic growth; Pakistan

资金

  1. National Natural Sciences Foundation of China [71774008]
  2. Beijing Natural Science Foundation [9172015]
  3. Beijing Social Science Foundation [17JDYJB010]
  4. Joint Development Program of Beijing Municipal Commission of Education

向作者/读者索取更多资源

At present, carbon emissions reduction is a very important challenge all over the world. Improvement of human capital helps to reduce carbon emissions. This paper studies the long- and short-term effects of human capital on carbon emissions in Pakistan from 1971 to 2014. We employ an autoregressive distributed lag model and the vector error correction model to analyze the co-integration and direction of causalities between human capital and carbon emissions, respectively. Results show that a significant long-term relationship exists between human capital and carbon emissions. Improvement of human capital will reduce carbon emissions without decreasing economic growth. Granger causality test results describe the bidirectional causality that exists between human capital and carbon emissions in the long term and no causality in the short term. Human capital and economic growth have feedback effects in the long term and no effect in the short term. The results of this study show that improvement in human capital through education will help carbon emissions reduction in the long term. This study will help policymalcers devise a comprehensive strategy to reduce carbon emissions through improvement of human capital. (C) 2018 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Environmental Sciences

Public behavior in reducing urban air pollution: an application of the theory of planned behavior in Lahore

Rashada Parveen, Ashfaq Ahmad

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020)

Article Environmental Sciences

The empirical relationship between environmental degradation, economic growth, and social well-being in Belt and Road Initiative countries

Anwar Khan, Yang Chenggang, Sadia Bano, Jamal Hussain

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020)

Article Environmental Sciences

Potential influential economic indicators and environmental quality: insights from the MERCOSUR economies

Shujah-ur-Rahman, Songsheng Chen, Nyla Saleem, Shah Saud, Ashfaq Ahmad, Farid Ahmad

AIR QUALITY ATMOSPHERE AND HEALTH (2020)

Article Environmental Sciences

The impression of technological innovations and natural resources in energy-growth-environment nexus: A new look into BRICS economies

Anwar Khan, Faqir Muhammad, Yang Chenggang, Jamal Hussain, Sadia Bano, Muhammad Awais Khan

SCIENCE OF THE TOTAL ENVIRONMENT (2020)

Article Green & Sustainable Science & Technology

Spatial-temporal characteristics and drivers of the regional residential CO2 emissions in China during 2000-2017

Hao Li, Yuhuan Zhao, Song Wang, Ya Liu

JOURNAL OF CLEANER PRODUCTION (2020)

Article Environmental Sciences

Critical transmission paths and nodes of carbon emissions in electricity supply chain

Yuhuan Zhao, Ye Cao, Xunpeng Shi, Song Wang, Hua Yang, Long Shi, Hongxian Li, Jianyang Zhang

Summary: This study reveals that carbon emission transmissions from China's electricity sector are mainly concentrated within intra-provincial trading, with 30 provinces classified into consumption centers and production centers, showing regional agglomeration and territorial propinquity. Additionally, an agglomeration trend of transmission nodes between electricity sector and intermediate sectors is observed as electricity sector < intermediate sectors < electricity sector < consumption.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Environmental Sciences

Dynamic characteristics and drivers of the regional household energy-carbon-water nexus in China

Hao Li, Yuhuan Zhao, Lu Zheng, Song Wang, Jianing Kang, Ya Liu, Hongxian Li, Long Shi, Yuli Shan

Summary: The study reveals significant regional heterogeneity in China's household ECW nexus, with income growth significantly increasing ECW while efficiency advancements effectively curbing its growth.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)

Article Thermodynamics

Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China

Yuhuan Zhao, Qiaoling Shi, Hao Li, Zhiling Qian, Lu Zheng, Song Wang, Yizhang He

Summary: The study finds that integrated energy-carbon-water policies are most effective in reducing ECW, while isolated policies mainly impact their targeted ECW elements. Isolated policies have greater individual effectiveness, while integrated policies can balance overall ECW management.

ENERGY (2022)

Article Green & Sustainable Science & Technology

Energy and water embodied in China-US trade: Regional disparities and drivers

Xianmei Liu, Rui Peng, Jialin Li, Song Wang, Xiangyang Li, Pibin Guo, Hao Li

Summary: The study found that China exports a significant amount of embodied energy and virtual water, mainly concentrated in Guangdong and Jiangsu provinces. From the energy perspective, the input-output structure effect plays a crucial role in increasing the energy export differences, while per capita final demand has a negative impact on reducing the export differences. From the virtual water perspective, the input-output structure effect is key in increasing the differences between China and the US, while per capita final demand plays a negative role in decreasing the virtual water differences.

JOURNAL OF CLEANER PRODUCTION (2021)

Article Green & Sustainable Science & Technology

Global value chains participation and CO2 emissions in RCEP countries

Zhiling Qian, Yuhuan Zhao, Qiaoling Shi, Lu Zheng, Song Wang, Jingzhi Zhu

Summary: The study examines the impact of GVC participation on CO2 emissions in the RCEP countries. It finds that forward participation in GVCs can reduce emissions by improving production technology, while backward participation increases emissions by increasing trade scale. Additionally, GVC participation has spatial spillover effects on emissions in home and neighbor countries. At the industry level, forward participation in medium-high tech manufacturing and productive services industries is more effective in reducing emissions, whereas backward participation in low-tech manufacturing industries may increase emissions.

JOURNAL OF CLEANER PRODUCTION (2022)

Article Energy & Fuels

Global value chains participation and carbon emissions: Evidence from Belt and Road countries

Qiaoling Shi, Yuhuan Zhao, Zhiling Qian, Lu Zheng, Song Wang

Summary: This study investigates the impact of GVCs participation on carbon emissions in B&R countries, analyzing the features of carbon emissions and GVCs participation. It finds a negative correlation between GVCs position and carbon emissions, and suggests that increasing forward GVCs participation can effectively reduce carbon emissions.

APPLIED ENERGY (2022)

Article Environmental Sciences

Global value chains participation and carbon emissions embodied in exports of China: Perspective of firm heterogeneity

Lu Zheng, Yuhuan Zhao, Qiaoling Shi, Zhiling Qian, Song Wang, Jingzhi Zhu

Summary: This paper examines the impact of China's participation in global value chains on carbon emissions embodied in exports, analyzing firm heterogeneity and industry classification. The empirical study reveals an inverted U-shaped relationship between EEE and GVCs position. Firm ownership and trade patterns play a role in influencing this relationship.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Environmental Sciences

Validation of the environmental Kuznets curve and role of economic globalization: an aggregate and sectoral analysis of an Indian economy

Ashfaq Ahmad, Muhammad Mobeen Shafqat, Muhammad Ilyas, Muhammad Umair Ashraf, Afshan Urooj, Zhao Yu Huan

Summary: This research examines the validation of the environment Kuznets curve (EKC) in both aggregate and sectoral levels for the Indian economy. The study covers the period 1970-2020. Various tests such as traditional unit root tests and Zivot-Andrews test were conducted to confirm the stationarity of variables and determine structural breaks. The autoregression distributive lag model (ARDL) bound test and vector error correction model (VECM) test were used to analyze cointegration and causal relations among variables. The results support the existence of EKC at both aggregate and sectoral levels, with energy consumption increasing CO2 emissions and economic globalization reducing CO2 emissions. The findings suggest that policymakers in India should consider economic globalization as a crucial factor in carbon emissions and design an enhanced economic policy framework for low carbon-driven, sustainable, and inclusive economic growth at both aggregate and disaggregated levels.

AIR QUALITY ATMOSPHERE AND HEALTH (2023)

Article Economics

Examining the pollution haven, and environmental kuznets hypothesis for ecological footprints: an econometric analysis of China, India, and Pakistan

Anwar Khan, Chenggang Yang, Xue Yi Wang, Jamal Hussain, Sicen Liu, Sadia Bano

Summary: This study examines the impact of foreign direct investment, electricity consumption, and real GDP on ecological footprints in China, India, and Pakistan, finding long-term associations, support for the Environmental Kuznets Curve, and verification of the Pollution Haven Hypothesis in the study area.

JOURNAL OF THE ASIA PACIFIC ECONOMY (2021)

Article Environmental Studies

Natural resources, tourism development, and energy-growth-CO2 emission nexus: A simultaneity modeling analysis of BRI countries

Anwar Khan, Yang Chenggang, Jamal Hussain, Sadia Bano, AAmir Nawaz

RESOURCES POLICY (2020)

Article Green & Sustainable Science & Technology

Relative evaluation of probabilistic methods for spatio-temporal wind forecasting

Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad

Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Comparison of ethane recovery processes for lean gas based on a coupled model

Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang

Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

A novel deep-learning framework for short-term prediction of cooling load in public buildings

Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu

Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

The impact of social interaction and information acquisition on the adoption of soil and water conservation technology by farmers: Evidence from the Loess Plateau, China

Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang

Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.

JOURNAL OF CLEANER PRODUCTION (2024)

Article Green & Sustainable Science & Technology

Study on synergistic heat transfer enhancement and adaptive control behavior of baffle under sudden change of inlet velocity in a micro combustor

Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He

Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.

JOURNAL OF CLEANER PRODUCTION (2024)