Land consumption and income in Ecuador: A case of an inverted environmental Kuznets curve

Pontarollo, Nicola; Muñoz, Rodrigo Mendieta

doi:10.1016/j.ecolind.2019.105699

Cited by 35 publications

(15 citation statements)

References 105 publications

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“…The empirical findings indicate that the EKC hypothesis is valid only for Bangladesh and India. In comparison, other studies did not find the existence of EKC in their studies, for instance, Pontarollo and Muñoz ( 2020 ) and Zhou et al ( 2019 ).…”

Section: Literature Reviewmentioning

confidence: 64%

The roles of economic growth and health expenditure on CO2 emissions in selected Asian countries: a quantile regression model approach

Bilgili

Kuşkaya

Khan

et al. 2021

Environ Sci Pollut Res

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Continuous economic growth and the rise in energy consumption are linked with environmental pollution. Demand for health care expenditure increased after the COVID-19 pandemic. This study is interesting in modeling the nexus between public and private health expenditure, carbon dioxide emissions, and economic growth. To this end, the present study analyzed the nexus between public and private health care expenditure, economic growth, and environmental pollution for 36 Asian countries for the period 1991–2017. FMOLS, GMM, and quantile regression analysis confirm the EKC hypothesis in Asia. Besides, FMOLS and quantile regressions reached the reducing effects of government and private health expenditures on CO 2 emissions. While quantile regression results show that public and private health expenditures can mitigate CO 2 emissions; however, these results differ for various levels of CO 2 . Findings of quantile regression show a significant impact of both public and private health expenditures in reducing CO 2 at the 50 th and 75 th quantiles but results are insignificant for the 25 th quantile. Overall, the paper concludes that both government and private health sectors’ expenditures caused CO 2 emissions to decrease in Asia and that the negative impact of the private health sector on CO 2 emissions is greater than that of the government health sector. The concluding remark is that the higher the health spending, the higher the environmental quality will be in Asia. Hence, the health administrators need to increase public and private health expenditures with an effective cost-service and energy-efficient management approach to reach sustainable health services and a sustainable environment in Asia. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-13639-6.

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Section: Literature Reviewmentioning

confidence: 64%

The roles of economic growth and health expenditure on CO2 emissions in selected Asian countries: a quantile regression model approach

Bilgili

Kuşkaya

Khan

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…It seems that in the long run, the best way to improve the environment is to become rich (Beckerman, 1992). In other words, when there is (as the ekc hypothesis predicts) an inverse relationship between economic growth and environmental degradation in an economy, it means that economic development causes an environmental improvement after per capita income reaches a critical threshold (Pontarollo & Mendieta Muñoz, 2020;Sarkodie & Ozturk, 2020). According to Zilio (2012), this pattern can be explained as follows: if the poorest sectors of society cannot cover their basic needs, such as nutrition, education, and healthcare, they will not demand environmental improvements (Zilio, 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the environmental Kuznets curve in the NAFTA Countries, 1971-2014

Gómez¹,

Rodríguez²

2022

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Objetive: This paper analyzes the environmental Kuznets curve (ekc) for the North American Free Trade Agreement (nafta) countries during 1971-2014. Methodology: In this regard, unit root, co-integration, and causality tests are applied making use of the data panel approach. Results: Results suggest that the series in this research are integrated of order one, and a long-run relationship among variables is observed. Besides, the ekc hypothesis is confirmed. In addition, the analysis shows that renewable energy and trade openness contribute to reducing pollution in these countries. Limitations/implications: Further research should be done to include other variables such as financial development and human capital. Originality/value: The present paper contributes to understanding the relationship between trade openness and renewable energy consumption, on the one hand, and pollution, on the other. Conclusions: Policies concerned to trade openness and environmental issues should consider renewable energy and trade to reduce pollutant emissions in these countries.

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“…Building the training set based on visually interpreting higher spatial resolution images available in open access platforms, such as Google Earth (https://www.google.com/earth/) and Bing (https://www. bing.com/maps), is one of the common uses of open data (Pontarollo & Mendieta Muñoz, 2020). However, the visual interpretation method relies on expert comprehension and might be accompanied by human error.…”

Section: Methods For Developing the Training Set And The Application Of Open Datamentioning

confidence: 99%

“…Through the first approach, two methods have been applied for developing the training set. First is the traditional method of using available databases, such as survey data and available maps (Campos-Taberner et al, 2020), while the second involves the visual interpretation method using freely available VHR Google Map Imagery (Pontarollo & Mendieta Muñoz, 2020). In the latter approach, the application of OSM, as a complementary source of data, for developing the training set has been tested (Figure 5).…”

Section: Methodsmentioning

confidence: 99%

Using open data to detect the structure and pattern of informal settlements: an outset to support inclusive SDGs’ achievement

2021

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The detection of informal settlements is the first step in planning and upgrading deprived areas in order to leave no one behind in SDGs. Very High-Resolution satellite images (VHR), have been extensively used for this purpose. However, as a cost-prohibitive data source, VHR might not be available to all, particularly nations that are home to many informal settlements. This study examines the application of open and freely available data sources to detect the structure and pattern of informal settlements. Here, in a case study of Jakarta, Indonesia, Medium Resolution satellite imagery (MR) derived from Landsat 8 (2020) was classified to detect these settlements. The classification was done using Random Forest (RF) classifier through two complementary approaches to develop the training set. In the first approach, available survey data sets (Jakarta's informal settlements map for 2015) and visual interpretation using High-Resolution Google Map imagery have been used to build the training set. Throughout the second round of classification, OpenStreetMap (OSM) layers were used as the complementary approach for training. Results from the validation test for the second round revealed better accuracy and precision in classification. The proposed method provides an opportunity to use open data for informal settlements detection, when: 1) more expensive high resolution data sources are not accessible; 2) the area of interest is not larger than a city; and 3) the physical characteristics of the settlements differ significantly from their surrounding formal area. The method presents the application of globally accessible data to help the achievement of resilience and SDGs in informal settlements.

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Land consumption and income in Ecuador: A case of an inverted environmental Kuznets curve

Cited by 35 publications

References 105 publications

The roles of economic growth and health expenditure on CO2 emissions in selected Asian countries: a quantile regression model approach

The roles of economic growth and health expenditure on CO2 emissions in selected Asian countries: a quantile regression model approach

Analysis of the environmental Kuznets curve in the NAFTA Countries, 1971-2014

Using open data to detect the structure and pattern of informal settlements: an outset to support inclusive SDGs’ achievement

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