The role of institutional quality in FDI inflows and carbon emission reduction: evidence from the global developing and belt road initiative countries

Khan, Hayat; Weili, Liu; Khan, Itbar

doi:10.1007/s11356-021-17958-6

Cited by 59 publications

(29 citation statements)

References 65 publications

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“…Various empirical evidence authenticated in the literature has clarified the economic growth-carbon emission nexus (Ahmad et al 2021;Satrovic et al 2021;Khan et al 2022;Abul and Satrovic 2022). While several others have been conducted on economic complexity-carbon emission nexus (Can and Gozgor 2017;Doğan et al 2019;Chu 2020;Laverde-Rojas et al 2021), while some have focused on trade openness-carbon emissions link (Tachie et al 2020;Satrovic 2019a).…”

Section: Theoretical Framework and Model Specificationmentioning

confidence: 99%

“…The existence of EKC phenomenon will be validated if ecological hindrance grows in the initial phases of development until it approaches a saturation point where it declines with economic progress (β 1 > 0; β 2 <0). Most previous works (Laverde-Rojas et al 2021;Satrovic et al 2021;Khan et al 2022) considered real GDP per capita to investigate the validity of EKC hypothesis. Environmental impact of economic growth can be observed from the perspective that economic progress includes increased energy consumption leading into more anthropogenic emissions.…”

Section: Theoretical Framework and Model Specificationmentioning

confidence: 99%

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An empirical assessment of electricity consumption and environmental degradation in the presence of economic complexities

Šatrović

Adedoyin

2022

Environ Sci Pollut Res

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To a large extent, the theories and concepts behind the effect of ecological footprint have been the paramount concern of the recent literature. Since the rising and falling of environmental degradation have been a continuous issue since the first phase of development, determinants such as economic complexity may play a critical role in achieving long-term sustainable development in the framework of environmental Kuznets curve (EKC) paradigm. Therefore, this research expands on the notion of an EKC paradigm for the world’s top ten most complex economies by considering four variables, such as real GDP per capita, electricity consumption, trade openness, and a new putative factor of environmental obstacle, the economic complexity index (ECI). This is one of the first studies to look at the impact of ECI on the ecological footprint of a specific sample from 1998 to 2017. The findings demonstrate a continuous inverted U-shaped link between real GDP per capita, the square of real GDP per capita, and ecological footprint. The EKC hypothesis is found to be valid in the long term in the examined complex economies. The findings of the panel autoregressive distributed lag (ARDL) of the pooled mean group (PMG) and fully modified ordinary least squares (FMOLS) estimations demonstrate that in the long term, electric power usage contributed to the carbon footprints. Furthermore, the economic complexity index and trade openness increase environmental performance over time. To determine if there is causation between the variables, we employ the panel vector error correction model (VECM) framework. Particularly, the results show unidirectional causality running from electric power consumption to ecological footprint and bidirectional causal relationship between (1) economic growth and ecological footprint; (2) square of economic growth and ecological footprint; (3) economic complexity index and ecological footprint; and (4) trade openness and ecological footprint.

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Section: Theoretical Framework and Model Specificationmentioning

confidence: 99%

Section: Theoretical Framework and Model Specificationmentioning

confidence: 99%

An empirical assessment of electricity consumption and environmental degradation in the presence of economic complexities

Šatrović

Adedoyin

2022

Environ Sci Pollut Res

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“…Explanatory variables: economic development level ( ED ), measured as GDP per capita, was used to indicate the influence of urban affluence on CEE [ 27 ]; industrial structure ( IS ) is an essential influencing component of CEE [ 43 ], the dominant industry in some cities of the YRB is single, and the excessive share of secondary industry, mainly heavy industry, is one of the important causes of carbon emission; green technological innovation ( GTI ), the economic strength of enterprises and research institutions and the knowledge level of researchers are used to develop new technologies and apply the existing ones [ 26 ]. This study used the sum of green patents and green utility model patents reported in the “International Patent Classification Green List” by the World Intellectual Property Organization (WIPO) to represent GTI ; population density ( PD ), the agglomeration and scale effect brought by the increase of population density in the urbanization process may affect carbon emissions by improving the efficiency of resource use [ 44 ]; foreign direct investment ( FDI ), the ratio of actual foreign capital use to GDP, was used to measure the impact of the degree of openness on CEE [ 45 ]. This study used the proportion of extractive industry employees to the total population at the end of the year to measure resource endowment ( RE ) [ 46 ].…”

Section: Resultsmentioning

confidence: 99%

Spatiotemporal Evolution and Influencing Factors of Carbon Emission Efficiency in the Yellow River Basin of China: Comparative Analysis of Resource and Non-Resource-Based Cities

Cheng

Zheng

et al. 2022

IJERPH

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Comparing the carbon emission efficiency (CEE) of resource and non-resource-based cities in the Yellow River Basin (YRB) can guide their synergistic development and low-carbon transition. This study used the super-efficiency slacks-based measure (super-SBM) model to measure the CEE of cities in the YRB. Kernel density estimation and Theil index decomposition methods were used to explore the spatiotemporal evolutionary patterns, and a panel regression model was established to analyze the influencing factors of CEE. The research results showed that the CEE of the two types of cities have an overall upward trend in time, with a widening regional gap. Resource-based cities mainly displayed the characteristics of decentralized regional agglomeration, while non-resource-based cities mainly showed the characteristics of convergent regional agglomeration. Panel regression results showed that the levels of economic development, indus-trial structure, and population density are significantly positively correlated with CEE in the YRB, while foreign direct investment and resource endowment are significantly negatively correlated with CEE. Except for economic development and industrial structure, there is some variability in the contribution of the remaining influencing factors to the CEE of the resource and non-resource-based cities. The research results suggest developing classification measures for low-carbon transition in the YRB.

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“…Their study shows that the long-run positive effect of non-renewable energy on carbon emission still has a positive effect. At the global level, nonrenewable energy is widely applied and used in life (Khan et al 2022). Hence, the existing technology (energy intensive in the world development indicator) is assumed to affect carbon dioxin emissions positively.…”

Section: Literature Reviewmentioning

confidence: 99%

Does the pollution halo hypothesis exist in this “better” world? The evidence from STIRPAT model

Nguyen-Thanh

Chin

Nguyen

2022

Environ Sci Pollut Res

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Multinational corporation has changed their host countries. The new wave of FDI inflow attracted the interest of policymakers. FDI has significant effects on both productivity and carbon dioxide emissions. The host countries should carefully consider the advantages and disadvantages of FDI to their nation. The previous literature has not illustrated the global context's theoretical halo or haven pollution hypothesis. Using panel data of 96 countries between 2004 and 2014, our empirical results confirm the haven pollution hypothesis in both developing and developed countries. We employ the different general methods of moments (GMMs) to engage FDI in traditional STIRPAT theoretical frameworks. The empirical results contribute to the evidence of the EKC theory. The country's income level has been used to modify our models. The affluence of the economy, urbanization, FDI, and industrial sector would cause harmful effects on carbon dioxin emissions globally. The paper implies the two models which can be used for both developed and developing countries. The policymaker can use both short-run and long-run elasticities from those models to implicate their country's FDI inflow strategy.

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The role of institutional quality in FDI inflows and carbon emission reduction: evidence from the global developing and belt road initiative countries

Cited by 59 publications

References 65 publications

An empirical assessment of electricity consumption and environmental degradation in the presence of economic complexities

An empirical assessment of electricity consumption and environmental degradation in the presence of economic complexities

Spatiotemporal Evolution and Influencing Factors of Carbon Emission Efficiency in the Yellow River Basin of China: Comparative Analysis of Resource and Non-Resource-Based Cities

Does the pollution halo hypothesis exist in this “better” world? The evidence from STIRPAT model

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