The Ecological Footprint and Kuznets Environmental Curve in the USMCA Countries: A Method of Moments Quantile Regression Analysis

Gómez, Mario; Chávez, José Carlos Rodríguez

doi:10.3390/en13246650

Cited by 21 publications

(12 citation statements)

References 56 publications

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“…Nonmarket-based regulation has the most salient inverted U-shape relation with EF, followed by green technology, market-based regulation, and education. Education is generally acknowledged to be a means for improving environmental sustainability (Gottlieb et al, 2012). However, we find education saliently increases built at the 25th to 90th quantiles and carbon and forest at the 10th to 50th quantiles, supporting the findings of Gangadharan and Valenzuela (2001) and Hill and Magnani (2002)…”

Section: Discussionsupporting

confidence: 78%

“…In this study, Machado and Silva's (2019) MQR with fixed effects is applied. It is a quantile regression panel data model with individual effects and models with endogenous explanatory variables (Gómez & Rodríguez, 2020). Moreover, this method is considered the most suitable one as it contains asymmetric and nonlinear relations by simultaneously treating heterogeneity and endogeneity (An et al, 2021).…”

Section: Methodology and Modelmentioning

confidence: 99%

“…Via MQR as suggested by Machado and Silva (2019) to control for distributional heterogeneity, Raza et al (2021) inspect the role of technology innovation in testing the EKC hypothesis. With MQR, Gómez and Rodríguez (2020) explore the EKC hypothesis for the member nations of the United States.—Mexico–Canada Agreement. This paper thus uses the MQR method to evaluate whether ER variables influence EF on countries with different EF quantiles by considering the variables in Table A2 and testing Equations () and () by using EF as dependent variables:

y_{it =} β_{i} goodbreak+ x_{it}^{'} α goodbreak+ normalω ((), γ_{i} goodbreak+ Q_{it}^{'} Φ) R_{it} .

…”

Section: Methodology and Modelmentioning

confidence: 99%

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Assessing the impacts of formal and informal regulations on ecological footprint

Chen

2022

Sustainable Development

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This research applies the method of moments quantile regression (MQR) to probe the effects of formal (market and nonmarket) and informal environmental regulations ([ERs] education [EDU] and green technology [TEC]) on the six components of ecological footprint (EF). We investigate whether ERs are feasible tools for lessening environmental degradation by examining the ER-induced environmental Kuznets curve (EKC) hypothesis. Results reveal that the nonmarket-based ER-induced EKC hypotheses are generally supported for carbon, fish, and forest footprints, signifying that when the three EFs reach a specific threshold level the nonmarket-based ER saliently helps to move toward an environmental-friendly condition. Nonmarketbased ER and EDU are most efficient in reducing grazing land. However, we show that ER increases carbon footprint consumption, and ER is not completely effective to solve environmental degradation. Our analysis affirms the usage of MQR estimates, suggesting that the six types of EFs exhibit a nonlinearly response with ER across EF quantiles. Specifically, the U-shape links are present in the forest-EDU and graze-NMKT nexus in the subsample of developing countries, implying that the EKC hypothesis is not valid for developing country. Therefore, government should encourage different ERs to reduce different types of environmental degradation.

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Section: Discussionsupporting

confidence: 78%

Section: Methodology and Modelmentioning

confidence: 99%

y_{it =} β_{i} goodbreak+ x_{it}^{'} α goodbreak+ normalω ((), γ_{i} goodbreak+ Q_{it}^{'} Φ) R_{it} .

…”

Section: Methodology and Modelmentioning

confidence: 99%

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Assessing the impacts of formal and informal regulations on ecological footprint

Chen

2022

Sustainable Development

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“…At present, with the rapid development of tourism, the direct and indirect impacts on the local ecological environment have seriously affected the balance and sustainability of the tourist destination ecosystem. The ecological footprint is also called “ecological occupation” [ 24 ]. The ecological footprint model, as a model to measure the degree of sustainable development, has been widely recognized by academic circles in recent years, and scholars have also made relevant research by applying the tourism ecological footprint model.…”

Section: Methodsmentioning

confidence: 99%

A Design of the Ecotourism Individualized Route Planning System Based on the Ecological Footprint Model

2022

Computational Intelligence and Neuroscience

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In this study, aiming at the huge amount of information in the tourism field, the pressure of ecological environment, and tedious personalized route planning, an ecotourism personalized route planning system based on the ecological footprint model is designed. In order to recommend routes that meet the time limit and the starting and ending points of the user’s choice, the tourist route recommendation problem is studied as a directional problem on the basis of comprehensively considering the popularity of scenic spots and the user’s interest preferences as the scenic spots score. The scenic spot scoring strategy is scenic spot scoring, and the iterative local search strategy is used to plan tourist routes according to the optimization goal with the largest route score, and improve the real tourist routes, food, and accommodation strategies. On the basis of launched tourist routes, they recommend tourists’ favorite food and accommodation. The model finally completes the fine arrangement of scenic spots, food, and accommodation in the whole tourist route. The system test results show that the system has obvious advantages in personalized path planning effect, excellent user feedback effect, and certain application value.

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“…Hettige et al [ 7 ] found a similar inverted U-shaped relationship between GDP and the toxic intensity of manufacturing industries. Much other empirical research has proved the validity of EKC in different regions of the world, including North America [ 8 , 9 ] and South-West Europe [ 10 ]. Some research has found similar results in China.…”

Section: Literature Reviewmentioning

confidence: 99%

A Two-Way Fixed Effects Estimation on the Impact of Industrial Land Supply on Environmental Pollution in Urban China

Yan

Tuo

Lai

2022

IJERPH

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Despite the great economic growth and fast urbanization process in the past four decades, China is now suffering severely from environmental pollution. Local governments’ industrial land supply behaviors have a great impact on local investment, economic growth, and environmental pollution, which has not been effectively evaluated. To fill this gap, this paper quantitatively investigates the impact of industrial land supply by local governments on environmental pollution based on a two-way fixed effects model. A comprehensive and reliable data set for 277 Chinese prefecture-level cities from 2009 to 2017 has been collected for analysis. The findings suggest that the increase of the ratio of industrial and mining storage land to total land supply significantly increases the concentration of PM2.5. The results remain significant and robust after a series of robustness tests. The negative impacts on environmental quality caused by differences in land supply behavior are greater in the central and western regions. We further explored intermediate mechanisms for the environmental impact of local governments’ allocations of industrial land. The findings suggest that greater industrial land transfer by local governments leads to an expansion in the scale of regional secondary industry and increases in local fiscal deficit. Unbalanced industrial development, insufficient corporate innovation, and insufficient investment in environmental protection will increase pollution. This study provides a reference for improving regulatory measures on land transactions and for formulating regional polices for environmental protection.

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The Ecological Footprint and Kuznets Environmental Curve in the USMCA Countries: A Method of Moments Quantile Regression Analysis

Cited by 21 publications

References 56 publications

Assessing the impacts of formal and informal regulations on ecological footprint

Assessing the impacts of formal and informal regulations on ecological footprint

A Design of the Ecotourism Individualized Route Planning System Based on the Ecological Footprint Model

A Two-Way Fixed Effects Estimation on the Impact of Industrial Land Supply on Environmental Pollution in Urban China

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