Demystifying the links between green technology innovation, economic growth, and environmental tax in ASEAN-6 countries: The dynamic role of green energy and green investment

Sharif, Arshian; Koçak, Sinem; Khan, Hafizah Hammad Ahmad; Uzuner, Gizem; Tiwari, Sunil

doi:10.1016/j.gr.2022.11.010

Cited by 139 publications

(44 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…, 2022; Liu et al. , 2021a, b; Sharif et al ., 2022; Tan, 2021; Wang and Yu, 2021; Zhen and Jiang, 2021). This paper aims to address how ETes affect GPI using related theories.…”

Section: Theoretical Review and Hypotheses Developmentmentioning

confidence: 99%

“…Compared with other environmental regulation tools, ET can more effectively internalize the cost of external social governance, thereby guiding firms to purchase environmental protection equipment and improve process technology (Meng, 2021). However, related studies on whether the ETes can promote corporate green technology innovation have been inconclusive (Jiang et al, 2022;Liu et al, 2021a, b;Sharif et al, 2022;Tan, 2021;Wang and Yu, 2021;Zhen and Jiang, 2021). This paper aims to address how ETes affect GPI using related theories.…”

Section: Theoretical Review and Hypotheses Development 21 Environment...mentioning

confidence: 99%

See 1 more Smart Citation

How do environmental taxes affect green process innovation? Evidence from the Chinese manufacturing industry

Wei

Zhang

Ji-nan

2023

JMTM

View full text Add to dashboard Cite

PurposeThe absence of government intervention and market supervision cannot effectively promote green process innovation in manufacturing industries. As a new government regulation approach, environmental taxes provide a platform to internalize the externality of environmental pollution. This paper empirically investigates the impact of environmental taxes on green process innovation and the moderating effects of industry pollution heterogeneity and green credit.Design/methodology/approachThis research collects manufacturing industry data ranging from 2008 to 2020, resulting in a total of 351 observations. Time-individual, two-way fixed effect models are constructed to examine the hypotheses.FindingsThe results indicate environmental taxes have an inverted-U effect on green process innovation in manufacturing industries. Implementation intensity of the current environmental taxes on China's manufacturing industries does not reach an inflection point. Further analysis suggests that environmental taxes exert influence on the inverted-U relationship with low-pollution industries displaying a steeper curvilinear pattern than high-pollution industries. Moreover, the analysis shows that green credit plays a moderating role in the inverted-U relationship, as low green credit provides more limited stimulus than high green credit in terms of the effect of environmental taxes on green process innovation.Research limitations/implicationsThis study offers empirical evidence to accommodate negative externalities of corporate production and provides new perspectives in nudging corporate green-process innovation.Originality/valueThis paper verifies the effect of environmental taxes on green process innovation amid industry pollution heterogeneity by introducing an industrial-level analysis unit. This study improves the means by which environmental taxes are measured. Existing literature has narrowly used pollution discharge fees as a proxy for environmental taxes. The authors have summed up the taxes on vehicle and vessels, urban land use, urban maintenance and construction, vehicle purchases, waste gas, wastewater and solid waste to measure the effect of environmental taxes in this study.

show abstract

“…, 2022; Liu et al. , 2021a, b; Sharif et al ., 2022; Tan, 2021; Wang and Yu, 2021; Zhen and Jiang, 2021). This paper aims to address how ETes affect GPI using related theories.…”

Section: Theoretical Review and Hypotheses Developmentmentioning

confidence: 99%

Section: Theoretical Review and Hypotheses Development 21 Environment...mentioning

confidence: 99%

How do environmental taxes affect green process innovation? Evidence from the Chinese manufacturing industry

Wei

Zhang

Ji-nan

2023

JMTM

View full text Add to dashboard Cite

show abstract

“…In order to study the interaction between science and technology finance, green development and their coupling and coordination levels, this paper constructs a panel vector autoregression model (PVAR) for analysis. The PVAR model does not need to set the causal relationship between variables and distinguish between endogenous and exogenous variables in advance but regards all variables as endogenous variables and then analyzes the interaction between each variable and the lagging term (Feng and Yang, 2023;Sharif et al, 2023). The model is set in the following formula.…”

Section: Model Settingmentioning

confidence: 99%

Coupling and interaction between science and technology finance and green development: Based on coupling coordination degree model and panel vector autoregression model

Gao

Cao²,

Wen³

et al. 2023

Front. Environ. Sci.

View full text Add to dashboard Cite

Exploring the coupling and coordination between science and technology finance and green development is a critical action that needs to be addressed in achieving high-quality development in China. Based on the coupling coordination degree model and panel vector autoregression (PVAR) model, this paper uses the relevant data of 274 cities in China from 2003 to 2020 to study the relationship between science and technology finance and green development. The results show that: 1) The relationship between science and technology finance and green development has changed from low coupling coordination to medium coupling coordination in the sample period. 2) The Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta regions are at a relatively high level of coupling and coordination as a whole, while other regions are at a relatively low level of coupling and coordination. 3) Through the analysis of the spatial characteristics of the coupling coordination degree, it is found that the coupling coordination degree of China’s urban science and technology finance and green development is generally positive spatial autocorrelation. Spatial correlations continue to strengthen over time. 4) By establishing a PVAR model, we examined the interaction between science and technology finance, green development, and their coupling coordination. Science and technology finance, green development and their coupling coordination degree are themselves affected. We have comprehensively and objectively grasped the matching status of China’s urban science and technology finance and green development, providing a reference for promoting the adaptation of science and technology finance to green development.

show abstract

“…Moreover, other indirect benefits are associated with transitioning towards cleaner forms of energy. For instance, using renewable electricity for transportation through electric vehicles (EVs) will reduce carbon emissions and lower air pollution levels caused by exhaust fumes from conventional automobiles (15)(16)(17)(18). In addition to these environmental gains, investing in renewables has proven economically beneficial.…”

Section: Literature Reviewmentioning

confidence: 99%

Nexus between financial developments, renewable energy consumption and environmental sustainability in Bangladesh: Evidence from ARDL and NARDL

Qamruzzaman¹

2023

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

The goal of this research was to examine the effects of Bangladesh’s economic growth, trade liberalization, renewable energy consumption, financial development, and FDI on environmental sustainability from 1990 to 2019. Both the combined cointegration and Makki cointegration tests and the cointegration test with symmetry and asymmetry found evidence of long-run cointegration between the explained and explanatory factors. As shown by the coefficients of FD, TO, and FDI, population haven theory suggests that FD, TO, and FDI have hastened environmental deterioration in Bangladesh. Furthermore, the asymmetric evaluation revealed the nonlinear association between explained and explanatory factors throughout the long and short term.

show abstract

Demystifying the links between green technology innovation, economic growth, and environmental tax in ASEAN-6 countries: The dynamic role of green energy and green investment

Cited by 139 publications

References 77 publications

How do environmental taxes affect green process innovation? Evidence from the Chinese manufacturing industry

How do environmental taxes affect green process innovation? Evidence from the Chinese manufacturing industry

Coupling and interaction between science and technology finance and green development: Based on coupling coordination degree model and panel vector autoregression model

Nexus between financial developments, renewable energy consumption and environmental sustainability in Bangladesh: Evidence from ARDL and NARDL

Contact Info

Product

Resources

About