Correlations between air pollutant emission, logistic services, GDP, and urban population growth from vector autoregressive modeling: a case study of Beijing

Guo, Xiaopeng; Shi, Jiaxing; Ren, Dongfang; Ren, Jing; Liu, Qilin

doi:10.1007/s11069-017-2799-1

Cited by 15 publications

(9 citation statements)

References 33 publications

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Section: Discussionsupporting

confidence: 90%

“…We observed that GDPPC has a positive influence on internet penetration and urban population. These findings are concurrent to the previous studies that have positively correlated GDPPC with internet penetration (Asongu and Odhiambo, 2020) and urban population (Guo et al, 2017). Further, we hypothesized that literacy rate has a significant positive influence on internet penetration (H2a) and e-waste (H2b) and urban population (H2c).…”

Section: Discussionsupporting

confidence: 85%

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Examining country development indicators and e-waste under the moderating effect of country development levels and e-waste policy

Kalia

Zia

Mladenović

2021

IJQRM

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PurposeThe purpose of this paper is to investigate if country development indicators, i.e. gross domestic product per capita (GDPPC), literacy rate, internet penetration and urban population, influence the generation of e-waste on a global level. The moderation effect due to differences between countries in terms of absence or presence of e-waste policy and level of development is also checked.Design/methodology/approachThis is an archival study that builds upon data from United Nations (UN), World Bank and Global E-waste Statistics Partnership. The authors did a path analysis comprising mediation and multigroup analyses to decipher the proposed rese arch model containing data from 172 countries.FindingsThe results indicate that GDPPC, literacy rate, internet penetration and urban population do not directly influence the generation of e-waste. However, higher internet penetration in developing countries leads to higher e-waste, while higher literacy rates in developed countries suppress e-waste generation. When it comes to e-waste policy, a higher urban population without a regulatory legal framework boosts higher e-waste. The authors observed that higher internet penetration leads to higher e-waste in the presence of e-waste policy as well.Originality/valueThis is the first study to include economic well-being indicators in elaborating e-waste generation, on a global scale. No previous study has observed differences between countries nested in e-waste policy and level of development.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 85%

Examining country development indicators and e-waste under the moderating effect of country development levels and e-waste policy

Kalia

Zia

Mladenović

2021

IJQRM

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“…Results implied that a long-term equilibrium nexus exists between these variables. Guo et al [36] established a novel method on the basis of vector auto-regression researching the nexus among SO 2 emissions, freight turnover, GDP, and urban population of Beijing. Results indicated that the expansion of logistic services exerts the greatest influence on air pollution.…”

Section: Literature Reviewmentioning

confidence: 99%

Characterizing the Influences of Economic Development, Energy Consumption, Urbanization, Industrialization, and Vehicles Amount on PM2.5 Concentrations of China

2018

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The speeding-up of economic development and industrialization processes in China have brought about serious atmospheric pollution issues, especially in terms of particulate matter harmful to health. However, impact mechanisms of socio-economic forces on PM2.5 (the particle matter with diameter less than 2.5 μm) have rarely been further investigated. This paper selected GDP (gross domestic product) per capita, energy consumption, urbanization process, industrialization structure, and the amount of possession of civil vehicles as the significant factors, and researched the relationship between these factors and PM2.5 concentrations from 1998 to 2016, employing auto-regressive distributed lag (ARDL) methodology and environmental Kuznets curve (EKC) theory. Empirical results illustrated that a long-term equilibrium nexus exists among these variables. Granger causality results indicate that bi-directional causality exist between PM2.5 concentrations and GDP per capita, the squared component of GDP per capita, energy consumption and urbanization process. An inverse U-shape nexus exists between PM2.5 concentrations and GDP per capita. When the real GDP per capita reaches 5942.44 dollars, PM2.5 concentrations achieve the peak. Results indicate that Chinese governments should explore a novel pathway to resolve the close relationship between socio-economic factors and PM2.5, such as accelerating the adjustment of economic development mode, converting the critical industrial development driving forces, and adjusting the economic structure.

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“…Coordinated development between urban and rural logistics could help to break the economic and social system division between urban and rural areas, achieve a reasonable allocation of resources between urban and rural areas, give full play to the role of urban and rural logistics support in regional economic integration, and promote the new urbanization process and urban-rural integration development. In recent years, urban logistics and rural logistics have achieved varying degrees of development [4]. However, the imbalance and uncoordinated situation between urban and rural logistics have intensified over time.…”

Section: Introductionmentioning

confidence: 99%

Coupling Coordinated Development Model of Urban‐Rural Logistics and Empirical Study

Xian-wen

2019

Mathematical Problems in Engineering

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This paper builds a coupling coordinated development model for urban-rural logistics based on coupling theory and synergy theory, designs an index system for the coordinated development of urban-rural logistics based on supply chain management, and determines the weight of the index system using the entropy method. Supported by official statistics, this paper measures the level and analyzes the changing trend of the coupling coordinated development of urban-rural logistics from 2001 to 2015 in China. The results show that, in the study period, the orderly development level of both urban and rural logistics was improved, and the coordinated development level of urban-rural logistics generally maintained a slow upward trend. However, the interactive coupling level between urban and rural logistics was stagnant, and the orderly development differences were gradually enlarged. This study suggests that setting up urban-rural logistics integrated systems, including material flow, financing flow, information flow, and commerce flow, has become an effective way to break through the division between urban and rural logistics and realize the coordinated development of urban-rural logistics.

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Correlations between air pollutant emission, logistic services, GDP, and urban population growth from vector autoregressive modeling: a case study of Beijing

Cited by 15 publications

References 33 publications

Examining country development indicators and e-waste under the moderating effect of country development levels and e-waste policy

Examining country development indicators and e-waste under the moderating effect of country development levels and e-waste policy

Characterizing the Influences of Economic Development, Energy Consumption, Urbanization, Industrialization, and Vehicles Amount on PM2.5 Concentrations of China

Coupling Coordinated Development Model of Urban‐Rural Logistics and Empirical Study

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