RETRACTED ARTICLE: The impact of high economic growth and technology advancement on extensive energy production in China: evidence using NARDL model

Hsu, Ching‐Chi; Chien, Fengsheng

doi:10.1007/s11356-022-22205-7

Cited by 13 publications

(5 citation statements)

References 66 publications

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“…Green innovation (GI) is the improvement of products or processes regarding “energy saving, pollution prevention, waste recycling, green product design, and enterprise environmental management” in environmental management (Hsu and Chien 2023 ; Marco-Lajara et al 2022 ). In this study, Chen et al divided GI into “green product innovation and green process innovation.” In some other studies, such as that of Liu et al ( 2021 ), green innovation is divided into four main categories: “green innovation management, green product innovation, green process innovation, and green technology innovation.” Based on the context of the study, the division in the study by Ullah et al ( 2022 ) was inherited for this study.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of green intellectual capital on green innovation in Vietnamese textile and garment enterprises: mediate role of environmental knowledge and moderating impact of green social behavior and learning outcomes

Tran

Huan²,

Phan

et al. 2023

Environ Sci Pollut Res

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The knowledge economy system shifts focus on the significance of intellectual capital. Moreover, the concept itself has gained generous amount of recognition at global level due to the increasing pressure from competitors, stakeholders, and environmental forces. Indeed, its antecedents and consequences have been assessed by scholars. However, the assessment appears to be inexhaustive with respect to meaningful frameworks. With the help of preceding literature, the present paper designed a model which involves green intellectual capital, green innovation, environmental knowledge, green social behavior, and learning outcomes. The model stipulates that green intellectual capital makes green innovation possible which further results in competitive advantage in the presence of environmental knowledge as a mediator as green social behavior and learning outcomes as a moderator. Interestingly the model acknowledges the proposed relationship through the empirical evidence collected from 382 Vietnamese textile and garment enterprises. The findings provide deeper insights regarding the issue that how firms could extract maximum benefits from their green assets and capabilities in the form of intellectual capital and green innovation.

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Section: Literature Reviewmentioning

confidence: 99%

The impact of green intellectual capital on green innovation in Vietnamese textile and garment enterprises: mediate role of environmental knowledge and moderating impact of green social behavior and learning outcomes

Tran

Huan²,

Phan

et al. 2023

Environ Sci Pollut Res

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“…Additionally, the Granger causality test demonstrates a unidirectional causal relationship between the consumption of hydroelectric energy and economic growth [1]. In another study by Ching-Chi Hsu et al it is stated that high energy production is the global requirement that is the demand of high economic growth of the country and requires regulators and analyzed the impact of economic factors such as gross domestic product (GDP), national income, employment rate, foreign direct investment (FDI), and inflation and technological advancement on energy production in China with 1976 to 2020 secondary date with NARDL model and according to the results all the economic factors such as GDP, national income, employment rate, FDI, infation, and technological advancement have a significant and positive association with energy production in China [2]. Mallesh et al conducted research on the two largest rising market economies in the world, Between 1965 and 2016, China and India examined the effects of natural gas and renewable energy usage on economic growth using a multivariate framework.…”

Section: Literature Reviewmentioning

confidence: 99%

Empirical analysis of renewable and non-renewable energy resources consumption impact on economic development in Uzbekistan

Ibadullaev,

Rajabov,

Matyakubova

et al. 2024

BIO Web Conf.

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In this paper the association among renewable, non-renewable energy consumption and GDP growth is analyzed by using the secondary date of The World Bank and International Energy Agency for the period 1990-2021 of Uzbekistan. The paper employs the Autoregressive Distributed Lags (ARDL) model to estimate the long-run and short-run dynamic multipliers of energy consumption variables. Empirical results show that hydropower energy consumption (renewable energy) has a positive effect on GDP growth in the long term. Also, consumption of non-renewable energy resources (coal, natural gas, oil) has a positive effect on GDP growth in the short and long term. In addition, the increase in the consumption of non-renewable energy resources has a positive effect on CO2 emissions, which in turn means that the government should take measures to increase the share of renewable energy resources.

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“…A stable economic environment provides investors with confidence in the long-term viability of projects. The gross domestic product (GDP), national income, employment rate, foreign direct investment (FDI), and inflation and technological advancement on energy production have been recognized as the key economic factors in creating this stable environment [8]. In another study, a strong correlation between a nation's GDP per capita and its capacity to attract renewable energy investments [9].…”

Section: Economic Factorsmentioning

confidence: 99%

Predicting country-specific financing capacity for renewable energy project

Mohamed-Ariffin,

Md Daud,

Muhammad

et al. 2024

E3S Web Conf.

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This study aims to scrutinize the various determinants that influence a nation’s ability to fund and support renewable energy ventures, encompassing factors such as economic stability, regulatory environment, energy demand, and access to capital markets. By drawing on a range of empirical data, financial indicators, and statistical models, this study seeks to determine which factor most potent when predicting financing capacity of a specific country towards renewable. A secondary research using published data by government publications and non-governmental databases is the research method for the present study. The data derived from these databases organized into tables to allow for regression analysis to be conducted to achieve the research objectives. The results from the regression analysis indicate that stock market and inflation rate are significant variables should be included in the predictive model of financing capacity for renewable energy.

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RETRACTED ARTICLE: The impact of high economic growth and technology advancement on extensive energy production in China: evidence using NARDL model

Cited by 13 publications

References 66 publications

The impact of green intellectual capital on green innovation in Vietnamese textile and garment enterprises: mediate role of environmental knowledge and moderating impact of green social behavior and learning outcomes

The impact of green intellectual capital on green innovation in Vietnamese textile and garment enterprises: mediate role of environmental knowledge and moderating impact of green social behavior and learning outcomes

Empirical analysis of renewable and non-renewable energy resources consumption impact on economic development in Uzbekistan

Predicting country-specific financing capacity for renewable energy project

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