The impact of natural resources, energy consumption, and population growth on environmental quality: Fresh evidence from the United States of America

Khan, Irfan; Hou, Fujun; Le, Hoang Phong

doi:10.1016/j.scitotenv.2020.142222

Cited by 490 publications

(213 citation statements)

References 67 publications

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“…It also means that residents' commuting distance is shortened and the car usage per capita is reduced, thereby resulting in the reduction of polluting gas emissions. In addition, the concentration of population and the subsequent centralized sharing of facilities are conducive to reducing pollution diffusion and relieving environmental pollution (Khan et al, 2021). (2) The process of upgrading urban GIE drives the flow of R&D capital and funds to more profitable sectors and also promotes the concentration of green innovation resources, thus contributing to the upgrading of industrial green technology level, improvement of output quality, and increased proportion of the tertiary industry featured with high value-added and low energy consumption (Muñiz & Garcia-López, 2019;Musikavong & Gheewala, 2017).…”

Section: Hypothesis 1 Urban Gie Has a Threshold Effect On Ecological mentioning

confidence: 99%

Effect of green innovation efficiency on ecological footprint in 283 Chinese Cities from 2008 to 2018

Dai

2021

Environ Dev Sustain

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The slack-based measure (SBM) model was used in this study to calculate the urban green innovation efficiency (GIE) of Chinese 283 cities during 2008-2018, and the night light data from the defense meteorological satellite program/operational linescan system (DMSP/OLS) were used to characterize the economic development level. On the basis, efforts were made to analyze how ecological footprint is affected by urban GIE at varying economic development levels under the Hansen threshold regression model and reveal the mechanism for ecological footprint to receive influence from urban GIE through the mediation effect model. The results show that: (1) The improvement in the urban GIE of the investigated cities during the study period has a negative double threshold in influencing ecological footprint throughout China. However, with higher economic development level, the inhibitory effect gradually weakens, with the elastic coefficient changing from − 0.3046 and − 0.2132 to − 0.1392 at a 1% significant level. (2) The inhibitory effect on ecological footprint from urban GIE is spatially heterogeneous in Chinese cities. In eastern cities other than central and western cities, urban GIE exerts the strongest inhibitory effect on ecological footprint, with the corresponding coefficient being − 0.3972 at a 1% significant level. Moreover, the inhibition in eastern and central regions is strengthened with higher economic development level. Nevertheless, before crossing the second threshold, the inhibitory effect of urban GIE on ecological footprint in western China does not appear, with the coefficient being 0.1899 and 0.1379, respectively, with at a 1% significant level. (3) Industrial structure and energy structure play a mediating role in the effect of urban GIE on ecological footprint. By contrast, population aggregation and infrastructure are important driving forces for the increase of ecological footprint.

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Section: Hypothesis 1 Urban Gie Has a Threshold Effect On Ecological mentioning

confidence: 99%

Effect of green innovation efficiency on ecological footprint in 283 Chinese Cities from 2008 to 2018

Dai

2021

Environ Dev Sustain

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“…Khan et al [3] argue that the quality of the environment in the long run depends on the consumption of natural resources and renewable energy. Researchers have proposed policies that control the overuse of natural resources, promote sustainable living and set an environmental budget to ensure the country's sustainable development.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to the Technological Map of the European Strategic Plan for Energy Technologies, the average energy costs in the pulp and paper industry of the European Union countries are from 16 to 30%, and in Ukraine they measure up to 40% [25]. In 2018, in the production of paper and cardboard in Ukraine, they used 65,8 million m 3 of water, emitted 256 million tons of carbon dioxide into the atmosphere, and discharged 254 million m 3 of wastewater [20]. Reduction of energy costs in the pulp and paper industry of Ukraine, bringing them to the average European level are especially relevant in the context of adaptation to environmental changes caused by the global pandemic Covid-19.…”

Section: Introductionmentioning

confidence: 99%

Efficient use of energy resources in the context of sustainable development of the pulp and paper industry of Ukraine

et al. 2021

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The article is devoted to the problem of increasing the efficiency of using energy resources of enterprises of the pulp and paper industry in Ukraine. It has been determined that the pulp and paper industry belongs to energy-intensive types of economic activity. Based on the results of the correlation and regression analysis, a connection was revealed and an economic and mathematical model was formed of the dependence of energy costs for the production of 1 ton of paper on the productivity of paper machines, equipment wear and the volume of investments in energy saving measures. Application of the proposed model will improve information support for the analysis of the effectiveness of energy saving measures, forecasting energy costs and strategic energy management in general. It was carried out at pulp and paper mills, the main obstacles to replacing fossil fuels with biomass in heat production were identified. This made it possible to develop a scientific and organizational model for the energy modernization of enterprises in the pulp and paper industry. It includes financial, organizational, environmental, regulatory, technological, scientific and educational tools. Their application at management will help improve the infrastructure of enterprises in terms of the use of renewable energy resources.

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“…Said and Dickey (1984) and Phillips & Perron (1988) were used to determine the variable's stationarity properties. As stated by Adebayo & Akinsola (2021) and Khan et al (2021), the conventional unit-roots outcome is usually inconsistent because they do not put into consideration the structural break(s) during estimation. For this purpose, the study used the Zivot and Andrews (2002) unit root test, which can detect at least one structural break in the series, which was defined as follows:…”

Section: Literature Reviewmentioning

confidence: 99%

Ecological Footprint, Public-Private Partnership Investment in Energy and Financial Development in Brazil: A Gradual Shift Causality Approach

Akinsola

Awosusi

Kırıkkaleli

et al. 2021

Preprint

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The present study aims to close this gap in the literature by exploring the effect of public-private partnerships in energy and financial development on Brazil’s ecological footprint by considering the impact of renewable energy and economic growth using data spanning from 1983 to 2017. The study utilized several techniques such as ARDL, FMOLS, DOLS, and CCR to examine the relationship between ecological footprint and the determinants, while the Gradual shift causality test was utilized to capture the causal linkage between the series in the presence of structural break. The outcome of the Maki Cointegration test revealed evidence of a long-run association among the variables of interest. Furthermore, the results of the ARDL, FMOLS, DOLS, and CCR tests revealed that economic growth and public and private investment in energy increase environmental degradation while both renewable energy and financial development mitigates it. Moreover, the Gradual shift causality test revealed a bidirectional causal linkage between ecological footprint and economic growth. The present study recommends establishing a forum that will foster public and private partnerships to enhance communication, which will create collaboration for new initiatives for green technological innovations. Additionally, the financial market can be assisted by the government by formulating a framework that would promote low carbon technology development.

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The impact of natural resources, energy consumption, and population growth on environmental quality: Fresh evidence from the United States of America

Cited by 490 publications

References 67 publications

Effect of green innovation efficiency on ecological footprint in 283 Chinese Cities from 2008 to 2018

Effect of green innovation efficiency on ecological footprint in 283 Chinese Cities from 2008 to 2018

Efficient use of energy resources in the context of sustainable development of the pulp and paper industry of Ukraine

Ecological Footprint, Public-Private Partnership Investment in Energy and Financial Development in Brazil: A Gradual Shift Causality Approach

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