Foreign investment and CO2 emissions: do technological innovation and institutional quality matter? Evidence from system GMM approach

Author(s):  
Satar Bakhsh ◽  
He Yin ◽  
Mohsin Shabir
2021 ◽  
Author(s):  
Bashir Muhammad

Abstract The recent study aim is to scrutinize the moderating role of natural resources between institutional quality and carbon dioxide (CO2) emissions in 106 developing countries from 1996 to 2017 by using dynamic fixed effect, generalized method of moments (GMM) and system generalized method of moments (system GMM) estimators as well as apply the instrumental fixed effect, the instrumental time fixed effect and instrumental system GMM estimators as robustness. We make use of dynamic models and instrumental system GMM to reduce the result of autocorrelation increasing from misspecification of a model as well as clear the biases from unnecessary data and solve the possible endogeneity issues. The empirical results indicate that financial development, trade, and institutional factors: corruption perception control, government effectiveness, political stability, regulatory quality, rule of law, and voice and accountability play a vital role in CO2 emissions reduction but natural resources along with economic growth are the core factors that cause CO2 emission in developing countries. On the opposing, natural resources boost the indirect impact of institutional quality on CO2 emissions in developing countries.


2021 ◽  
Vol 13 (6) ◽  
pp. 3039
Author(s):  
Tomiwa Sunday Adebayo ◽  
Sema Yılmaz Genç ◽  
Rui Alexandre Castanho ◽  
Dervis Kirikkaleli

Environmental sustainability is an important issue for current scholars and policymakers in the East Asian and Pacific region. The causal and long-run effects of technological innovation, public–private partnership investment in energy, and renewable energy consumption on environmental sustainability in the East Asian and Pacific regions have not been comprehensively explored while taking into account the role of economic growth using quarterly data for the period 1992–2015. Therefore, the present study aims to close this literature gap using econometric approaches, namely Bayer–Hanck cointegration, autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least square (FMOLS) tests. Furthermore, the study utilizes the frequency domain causality test to capture the causal impact of public–private partnership investment in energy, renewable energy consumption, technological innovation, and economic growth on CO2 emissions. The advantage of the frequency domain causality test is that it can capture the causality between short-term, medium-term, and long-term variables. The outcomes of the ARDL, FMOLS and DOLS show that renewable energy consumption and technological innovation mitigate CO2 emissions, while public–private partnership investment in energy and economic growth increase CO2 emissions. Moreover, the frequency causality test outcomes reveal that technological innovation, public–private partnership investment in energy, and renewable energy consumption cause CO2 emissions, particularly in the long-term. Thus, as a policy recommendation, the present study recommends promoting renewable energy consumption by focusing more on technological innovation in the East Asia and Pacific regions.


2021 ◽  
Vol 168 ◽  
pp. 120751
Author(s):  
Jun Zhao ◽  
Muhammad Shahbaz ◽  
Xiucheng Dong ◽  
Kangyin Dong

2021 ◽  
Vol 275 ◽  
pp. 02023
Author(s):  
Jing Zheng

Based on the panel data of 278 prefecture-level cities in China from 2008 to 2018, this paper adopts DID method to verify the impact of “the Belt and Road initiative” on pollution level of these cities, the results are still robust through the placebo test and PSM-DID, the mechanism is also analyzed. The study found that “the Belt and Road initiative” has a significant effect on the emission of wastewater, waste gas and dust of cities in China; the mechanism test shows that “the Belt and Road initiative” has significantly reduced urban environmental pollution by promoting foreign investment, upgrading industrial structure and technological innovation.


2019 ◽  
Vol 118 ◽  
pp. 01015
Author(s):  
Hong Yao ◽  
Meirong Tian ◽  
Jianjun Ma ◽  
Xinlu She ◽  
Jixi Gao

In order to analyse whether there is “Resource curse” in coal resource-rich district of Inner Mongolia such as Xilinguole, Hulunbeier, Tongliao, Chifeng, Erdos and Wuhai during “Golden ten years” (form 2000 to 2011) of coal, we developed the regression model based on the panel data of coal development intensity, manufacturing investment level, R&D and education investment level and foreign investment level, and test the “resource curse” effect in a holistic and regional way. The results showed that there exist “Resource curse” effect in Inner Mongolia along with economic development, and the effect gradually enhance. Meanwhile, the most serious “Resource curse” exist in Xilinguole, Hulunbeier, Erdos. The most important ways to weaken the “Resource curse” is industrial diversification and technological innovation. In addition, the basic way to solve or avoid “Resource curse” is strengthening the system construction, improving the government’s measures and policies on management and utilization of natural resources.


2019 ◽  
Vol 7 (4) ◽  
pp. 307-317 ◽  
Author(s):  
Sadam Hussain ◽  
Waqar Ahmad ◽  
Yasmeen Qamar ◽  
Muhammad Shahid Akram

2021 ◽  
Author(s):  
Toyo Amegnonna Marcel Dossou ◽  
Emmanuelle Kambaye Ndomandji

Abstract Unlike previous studies that focused mainly on the relationship between financial development and CO2 emissions, the current study examined the moderating effect of institutional quality on the influence of financial development on environmental pollution in G20 countries over the period 2003-2015. The panel corrected standard errors (PCSE) is employed as an econometric technique. The findings are established as follows: First, the findings show that institutional quality appears to have a mixed (positive and negative) effect on environmental pollution. Second, the findings show that financial development has mixed (positive and negative) effect on environmental pollution. Third, the findings also show that the interaction between institutional quality and financial development has a negative and statistically significant on environmental pollution, meaning that institutional quality complements financial sector to reduce environmental pollution. Policy implications are discussed.


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