Erratum to: Impact of market access and comparative advantage on regional distribution of manufacturing sector

Imran, Muhammad; Z, Gu; Hu-sen, AN

doi:10.1186/s40589-017-0050-6

Cited by 4 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second-largest difference is in the percentage of ICTIP, implying signi cant regional inequalities in investment for industrial pollution treatment. Despite the fact that urban salaries vary the least and, as previously mentioned, the bigger proportion of urban earnings alludes to the assumption that almost every location implements the same share of urban migration (Imran et al 2017;Yan et al 2019).…”

Section: Resultsmentioning

confidence: 95%

Spatial green growth in China: exploring the positive role of investment in the treatment of industrial pollution

Imran

Hayat

Saeed

et al. 2022

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

The industrial sector of China is critical to the country's economic growth. On the other side, industrialization has resulted in a high rate of emissions, pushing China to spend extensively on industrial pollution remediation. As a result, this study looks at the relationship between investment completed in the treatment of industrial pollution (ICITP) and economic development. A time-xed effect spatial error model was used to analyse regional data from China from 1999 to 2018. The data reveal a positive association between ICTIP and regional economic growth, both in the short and long term. Furthermore, the negative consequences of urban wages and foreign investment on ICTIP are having the reverse effect on regional green development, necessitating ecologically friendly actions to mitigate the negative environmental effects of both.

show abstract

Section: Resultsmentioning

confidence: 95%

Spatial green growth in China: exploring the positive role of investment in the treatment of industrial pollution

Imran

Hayat

Saeed

et al. 2022

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…This method works just as well when endogenous independent variables are present in the model [54,77]. The MMQR method's generic equational form is as follows:…”

Section: Methods Of Moments Quantile Regression (Mmqr)mentioning

confidence: 99%

Analyzing the Effects of Renewable and Nonrenewable Energy Usage and Technological Innovation on Environmental Sustainability: Evidence from QUAD Economies

et al. 2022

Self Cite

View full text Add to dashboard Cite

The following study examined how energy use and technological advancement impacted environmental sustainability in QUAD (US, Japan, Australia, and India) economies between 1991 and 2021. The study considers the generation of renewable energy, fossil fuel use, and the effects of economic expansion on environmental sustainability. The research used the moment quantile regression technique based on the outcomes of slope heterogeneity, cross-sectional dependence, and the order of the unit-root by the using second-generation method of cross-sectional augmented Im, Pesaran, and Shin tests. The study discovered that renewable energy production and technological innovation enhances environmental sustainability, whereas the use of nonrenewable energy and economic growth worsen it. When implementing policies regarding the environment, energy, and the growth of QUAD economies based on concrete evidence, policy makers and environmentalists in QUAD countries should also take into account the asymmetrical performance of efficiency in energy production, technological innovation, and economic growth.

show abstract

Spatial green growth in China: Exploring the positive role of investment in the treatment of industrial pollution

Imran

Hayat

Saeed

et al. 2022

Preprint

View full text Add to dashboard Cite

The industrial sector of China is critical to the country's economic growth. On the other side, industrialization has resulted in a high rate of emissions, pushing China to spend extensively on industrial pollution remediation. As a result, this study looks at the relationship between investment completed in the treatment of industrial pollution (ICITP) and economic development. A time-fixed effect spatial error model was used to analyse regional data from China from 1999 to 2018. The data reveal a positive association between ICTIP and regional economic growth, both in the short and long term. Furthermore, the negative consequences of urban wages and foreign investment on ICTIP are having the reverse effect on regional green development, necessitating ecologically friendly actions to mitigate the negative environmental effects of both.JEL Codes: E62, Q56, R23, C21.

show abstract

Erratum to: Impact of market access and comparative advantage on regional distribution of manufacturing sector

Cited by 4 publications

References 1 publication

Spatial green growth in China: exploring the positive role of investment in the treatment of industrial pollution

Spatial green growth in China: exploring the positive role of investment in the treatment of industrial pollution

Analyzing the Effects of Renewable and Nonrenewable Energy Usage and Technological Innovation on Environmental Sustainability: Evidence from QUAD Economies

Spatial green growth in China: Exploring the positive role of investment in the treatment of industrial pollution

Contact Info

Product

Resources

About