Nexus of ecological footprint and foreign direct investment pattern in carbon neutrality: new insight for United Arab Emirates (UAE)

Author(s):  
Edmund Ntom Udemba
2021 ◽  
Vol 299 ◽  
pp. 113572
Author(s):  
Zhixiong Tan ◽  
Mansoor Ahmed Koondhar ◽  
Kishwar Nawaz ◽  
Muhammad Nasir Malik ◽  
Zaid Ashiq Khan ◽  
...  

2018 ◽  
Vol 10 (10) ◽  
pp. 3527 ◽  
Author(s):  
Hongbo Liu ◽  
Hanho Kim

This research is employed to examine the environmental issues embedded in Belt & Road Initiative (BRI), to be more specific: testify which of these hypotheses: Pollution Havens Hypothesis, Pollution Halo Hypothesis, Environmental Kuznets Curve is in accordance with the current development condition of BRI counties; whether there exists a bidirectional relationship among Ecological Footprint, Gross Domestic Production, Foreign Direct Investment (FDI) in Belt & Road Initiative countries. In this paper, Panel Vector Autoregression is utilized to analyze a dataset of 44-member countries in this initiative, ranges from 1990 to 2016, to empirically testify the environmental evaluation of this project. Results are analyzed on both long-run and short-run cases through Orthogonalized Impulse-Response Functions (IRF). This research displays a great heterogeneity among different target variables, FDI as a main variable of interest does not expose a bidirectional relationship with Ecological Footprint, only Ecological Footprint demonstrates robust influence on FDI. In addition, Pollution Havens Hypothesis is certified to be true for FDI and GDP among Belt & Road Initiative member countries.


2019 ◽  
Vol 11 (17) ◽  
pp. 4724 ◽  
Author(s):  
He ◽  
Cao

With the in-depth implementation of the “Belt and Road” initiative (BRI), the investment patterns between Belt and Road countries have also become more complicated. The impact of this complex investment network on regional economic development is also growing. To reveal the complexity of this investment pattern, and to better promote the sustainable development of the region’s economy, this paper used the complex network method to study the foreign direct investment(FDI) network of 50 countries along the Belt and Road from 2003 to 2017, revealing its structural and behavioral characteristics and evolution process. The results showed that the imbalance of the investment network structure is outstanding, and preferential selection behavior is obvious. The Central and Eastern European countries show significant clustering behavior. In addition, the network evolved slowly and followed the “Pareto rule” in the early stages of its evolution. The BRI was a turning point in the evolution process. On this basis, the quadratic assignment procedure (QAP) regression analysis method was used to further study the factors affecting the formation process of this investment pattern. It found that economic development level, geographical distance, and bilateral trade were the main influencing factors. Among them, bilateral trade had the greatest impact on the pattern of network.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tehreem Fatima ◽  
Muhammad Saeed Meo ◽  
Festus Victor Bekun ◽  
Tella Oluwatoba Ibrahim

Purpose According to the crusade of the United Nations sustainable development goals (SDGs-6, 7,8,12 and 13) that addressed pertinent issues around, clean access to water, access to energy, responsible consumption and climate change mitigation alongside, respectively, Paris Kyoto Protocol agreement of mitigation of climate changes issues of vision 2030. Design/methodology/approach This purpose of this study aimed to assess the Environmental Kuznets Curve hypothesis following the ecological footprint perspective with a data set covering the period 1995–2018. It is well-established that anthropogenic human activities are the root cause of environmental deterioration. To this end, the current study is fitted in a multivariate framework to ameliorate for omitted variable bias for the data set from 1995–2018 on a quarterly frequency using autoregressive distributive lag methodology. Subsequently, the stationarity status of the study underlines series were examined with a conventional unit root test and the Pesaran’s bounds test for cointegration analysis. Findings Empirical evidence from the bounds test to cointegration traces the co-integration relationship between ecological footprint, conventional energy use, foreign direct investment, international tourism arrival and water resources over the sampled period. The study, in the long run, affirms the N-shaped relationship between ecological footprint and foreign direct investment in Vietnam. Additionally, the present study validates the hypothesis of energy consumption-induced pollution emissions. The relationship between international tourism arrival and quality of the environment is statistically positive in both the short-run and long-run, as 1% in international tourism arrival worsens the quality of the environment by 0.45% and 0.4% in the short-run and long-run, respectively. Interestingly, water resource's major environmental issues that have plagued the Vietnam economy are inversely related to ecological footprint. Based on findings, Vietnamese policymakers may need to consider drafting appropriate environmental policies to tackle global warming while concurrently boosting economic development. Originality/value The present study focuses on Vietnam on the determinant of environmental quality measured by a broader indicator (ecological footprint). It is well-established that anthropogenic human activities are the root cause of environmental deterioration. The present study claims to distinct from previous literature in two-folds, namely, in terms of scope. Vietnam holds a very interesting energy mix and environmental dynamics, which has been ignored in the literature. Second, we argue to be the first based on our survey to explore the theme by incorporation of water resources and foreign direct investment intensification in the conventional pollution determinant model. This is in a bid to highlights the policy blueprint for the country (Vietnam), which is currently plagued with high pollution issues and the region at large.


2021 ◽  
Author(s):  
Liping Zhang ◽  
Bo Yang ◽  
Atif Jahanger

Abstract This study determines the dynamic linkages between remittances inflow, foreign direct investment, and ecological footprint in top ten remittance-receiving counties in the presence of economic growth and renewable and non-renewable energy under the framework of Environmental Kuznets Curve (EKC) hypothesis over the period of 1990–2018 by employing the continuously updated fully modified (CUP-FM) and the continuously updated bias-corrected (CUP-BC) estimators. The results show that remittances inflow, foreign direct investment, and non-renewable energy utilization affect the ecological footprint positively while renewable energy utilization negatively impacts on ecological footprint. This study also supports the pollution haven hypothesis and inverted U-shaped EKC hypothesis. Furthermore, in order to account for the national heterogeneity, we have executed a country-wise EKC hypothesis, the results of the full modified ordinary least square (FMOLS) support the inverted U-shaped EKC hypothesis in the case of Bangladesh, China, France, India, Pakistan, and Vietnam while displaying a U-shaped curve in Germany, Mexico, and Nigeria. Besides, the results are robust to various robustness analyses that we have executed for inspection of the reliability of our main findings. Finally, this study presents important policy implications with respect to top remittance-receiving countries.


Author(s):  
Arzu Tay Bayramoglu ◽  
Tezcan Abasız

This chapter's objective is to explore the effects of foreign direct investment inflows and technological innovations on export performance in developing Asian countries (Hong Kong, China, Indonesia, Singapore, India, Turkey, Malaysia, Vietnam, United Arab Emirates, and Thailand) in the period of 1990-2015 by using the panel cointegration technique. The empirical results reveal that there is a cointegration among the variables, and cointegration regression shows that the foreign direct investments, per income and patent applications, have a positive and statistically significant impact on export performance in developing Asian countries. The results reveal that the impact of patent applications is greater than the foreign direct investments on exports. Then, technological development affects exports positively in all countries in the sample, except for India and the United Arab Emirates.


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