The influence of FDI on GHG emissions in BRI countries using spatial econometric analysis strategy: the significance of biomass energy consumption

Abdo, AL-Barakani; Li, Bin; Qahtan, Anwar Saeed Ahmed; Abdulsalam, Alnoah; Aloqab, Abdullah; Obadi, Waleed

doi:10.1007/s11356-022-19384-8

Cited by 18 publications

(5 citation statements)

References 89 publications

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“…Over the last decades, the selection of energy sources has been significantly guided by the adversity in environmental protection and ecological imbalance, implying that sustainable economic development with controlled environmental degradation has been placed on apex concern, especially in the developing nations (Jahanger et al, 2022a). Existing literature has postulated that developing nations have shown concern for environmental damage restoration with an appropriate selection of energy sources (Baloch et al, 2019;Abdo et al, 2022). As a discussion, the present study has considered remittances, urbanization, and globalization on energy consumption in BRI countries.…”

Section: Introductionmentioning

confidence: 99%

Do Urbanization, Remittances, and Globalization Matter for Energy Consumption in Belt and Road Countries: Evidence From Renewable and Non-Renewable Energy Consumption

Zhao

Qamruzzaman

2022

Front. Environ. Sci.

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Energy–growth nexus has gained immense interest among researchers, policymakers, and academicians, and with conclusive evidence, it is revealed that sustainable economic growth significantly relies on energy availability and security. Another line of studies postulated that excessive fossil fuel application had created adversity for environmental degradation and ecological imbalance. However, the energy demand from renewable and non-renewable has intensified with the act of several macro-fundaments, and countries have been investing efforts to figure them out in energy policy formulation; thus, BRI (please see Appendix A) are not out of the trend. The motivation of the study was to explore the role of urbanization, remittances, and globalization in energy consumption in BRI nations for the period 2004–2020. A panel of 59 (fifty-nine) BRI nations has been considered a sample countries’ assessment and their selection purely depended on the data availability. Several panel data estimation techniques have been applied, including CIPS and CADF, for panel unit root test, cointegration test with error correction, dynamic seemingly unrelated regression, and Dumitrescu–Hurlin panel heterogeneous causality test. The coefficient of globalization has exposed negative (positive) and statistically significant ties with non-renewable (renewable) energy consumption, whereas remittances and urbanization revealed positive and significant associations with both renewable and non-renewable energy consumption. The directional causality test documented bidirectional causality between globalization and renewable energy consumption and urbanization, globalization, and remittances to non-renewable energy consumption.

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Section: Introductionmentioning

confidence: 99%

Do Urbanization, Remittances, and Globalization Matter for Energy Consumption in Belt and Road Countries: Evidence From Renewable and Non-Renewable Energy Consumption

Zhao

Qamruzzaman

2022

Front. Environ. Sci.

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“…According to the research conducted by scholars such as Mohsen Mohammadi Khyareh [ 97 ], Abdo AlBarakani [ 98 ], and Mamkhezri Jamal [ 99 ], among them, the external adjustment factors stimulate the optimization of regional industrial structure by affecting the introduction and transfer of provincial industries. After enhancing regional government competition, policy intervention and investment are carried out for regional pillar industries, so as to make regional industrial technology innovation, so as to attract intensive industries to move in, improve regional economic level, feed back regional public construction, promote population migration [ 100 ], and form a virtuous circle.…”

Section: Study Area Methods and Data Sourcesmentioning

confidence: 99%

Environmental regulation, land use efficiency and industrial structure upgrading: Test analysis based on spatial durbin model and threshold effect

Yu,

Zheng

2024

Heliyon

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“…To study the spatial effects of industrialization on ANSP, three spatial panel models-the spatial lagged model (SLM), the spatial error model (SEM), and the spatial Durbin model (SDM)-were constructed. These models are the most used because they focus on the spatiotemporal effects of the dependent variable and therefore have more accurate estimation results [52]. In this study, we selected the appropriate spatial panel model with corresponding fixed effects based on the estimation and testing framework for spatial panel econometric models proposed by Elhorst [53].…”

Section: Spatial Econometric Model (1) Spatial Measurement Model Cons...mentioning

confidence: 99%

“…(3) Selection of influencing factors Referring to relevant studies on the analysis of factors influencing ANSP, it can be found that scholars' selection of factors influencing ANSP mostly revolves around industrialization, affluence, population size, planting scale, and planting structure [52,[54][55][56][57]. Combined with the development background of rapid industrialization in Gongyi city, this study used industrialization as the core explanatory variable.…”

Section: Spatial Econometric Model (1) Spatial Measurement Model Cons...mentioning

confidence: 99%

Spatial Pattern Evolution and Influencing Factors on Agricultural Non-Point Source Pollution in Small Town Areas under the Background of Rapid Industrialization

Yan

Jianji

Jia-jun

et al. 2023

IJERPH

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To promote sustainable agricultural development in small town areas during rapid industrialization, it is important to study the evolution of agricultural non-point source pollution (ANSP) and its influencing factors in small town areas in the context of rapid industrialization. The non-point source inventory method was used to study the characteristics of ANSP evolution in 14 small town areas in Gongyi City from 2002 to 2019. Using the spatial Durbin model and geographical detectors, the factors influencing ANSP in small town areas were analyzed in terms of spatial spillover effects and the spatial stratified heterogeneity. The results showed a zigzagging downward trend of ANSP equivalent emissions over time. Spatially, the equivalent emissions of ANSP showed a distribution pattern of being high in the west and low in the east. There was a significant positive global spatial autocorrelation feature and there was an inverted “U-shaped” Environmental Kuznets Curve relationship between industrialization and ANSP. Affluence, population size, and cropping structure positively contributed to the reduction of ANSP. Population size, land size, and industrialization were highly influential factors affecting the spatial variation of ANSP and the interaction of these factors was bivariate or nonlinearly enhanced. This study provides a feasible reference for policymakers and managers to develop reasonable management measures to mitigate ANSP in small town areas during rapid industrialization.

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The influence of FDI on GHG emissions in BRI countries using spatial econometric analysis strategy: the significance of biomass energy consumption

Cited by 18 publications

References 89 publications

Do Urbanization, Remittances, and Globalization Matter for Energy Consumption in Belt and Road Countries: Evidence From Renewable and Non-Renewable Energy Consumption

Do Urbanization, Remittances, and Globalization Matter for Energy Consumption in Belt and Road Countries: Evidence From Renewable and Non-Renewable Energy Consumption

Environmental regulation, land use efficiency and industrial structure upgrading: Test analysis based on spatial durbin model and threshold effect

Spatial Pattern Evolution and Influencing Factors on Agricultural Non-Point Source Pollution in Small Town Areas under the Background of Rapid Industrialization

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