Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach
Despite the fundamental role of human-induced forces in global environment having changed, knowledge about the specific factors that cause these impacts is limited and uncertainties remain. In this respect, the ecological footprint emerges as a concept used to emphasize bot...
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| Format: | Article |
| Language: | English |
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Istanbul University Press
2020-12-01
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| Series: | İstanbul İktisat Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/istjecon/issue/59329/815891 |
| _version_ | 1828031955132743680 |
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| author | İ̇smail Erkan Çeli̇k Derya Topdağ Tuğçe Acar |
| author_facet | İ̇smail Erkan Çeli̇k Derya Topdağ Tuğçe Acar |
| author_sort | İ̇smail Erkan Çeli̇k |
| collection | DOAJ |
| description | Despite the fundamental role of human-induced forces in global environment having changed, knowledge about the specific factors that cause these impacts is limited and uncertainties remain. In this respect, the ecological footprint emerges as a concept used to emphasize both the apparent unsustainability of current practices and the inequalities in resource consumption among countries. The ecological footprint provides a method for measuring how much land can support the consumption of natural resources and provides a precise measure of human impact on the world. In recent years, sustainable development and biological capacity debate has mainly revolved around factors affecting the ecological footprint and approaches to improving environmental quality. Therefore, it is important to determine which factors affect the global ecological footprint. For this aim, a cross-section analysis was carried out with the quantile regression approach applied within the framework of the STIRPAT model structure for 154 countries that were allocated according to their income levels in 2016, taking into account current data. According to the quantile regression findings, the coefficients of the welfare and financial development index are positive and statistically significant. It has been concluded that the population decreases the amount of ecological footprint per person, thus, increasing the total ecological footprint. In addition, it has been determined that the density of the service sector negatively affects the ecological footprint. |
| first_indexed | 2024-04-10T14:56:59Z |
| format | Article |
| id | doaj.art-d52ff8370dbb4c65b513f807babb8039 |
| institution | Directory Open Access Journal |
| issn | 2602-4152 2602-3954 |
| language | English |
| last_indexed | 2024-04-10T14:56:59Z |
| publishDate | 2020-12-01 |
| publisher | Istanbul University Press |
| record_format | Article |
| series | İstanbul İktisat Dergisi |
| spelling | doaj.art-d52ff8370dbb4c65b513f807babb80392023-02-15T16:07:18ZengIstanbul University Pressİstanbul İktisat Dergisi2602-41522602-39542020-12-017023393584Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approachİ̇smail Erkan Çeli̇k0Derya Topdağ1Tuğçe Acar2Doğuş University, Faculty of Economics and Administrative Sciences, Department of Economics, İstanbul, TurkeyBandırma Onyedi Eylül University, Faculty of Economics and Administrative Sciences, Department of Econometrics, Balıkesir, TurkeyBeykent University, Faculty of Economics and Administrative Sciences, Department of Economics, Istanbul, TurkeyDespite the fundamental role of human-induced forces in global environment having changed, knowledge about the specific factors that cause these impacts is limited and uncertainties remain. In this respect, the ecological footprint emerges as a concept used to emphasize both the apparent unsustainability of current practices and the inequalities in resource consumption among countries. The ecological footprint provides a method for measuring how much land can support the consumption of natural resources and provides a precise measure of human impact on the world. In recent years, sustainable development and biological capacity debate has mainly revolved around factors affecting the ecological footprint and approaches to improving environmental quality. Therefore, it is important to determine which factors affect the global ecological footprint. For this aim, a cross-section analysis was carried out with the quantile regression approach applied within the framework of the STIRPAT model structure for 154 countries that were allocated according to their income levels in 2016, taking into account current data. According to the quantile regression findings, the coefficients of the welfare and financial development index are positive and statistically significant. It has been concluded that the population decreases the amount of ecological footprint per person, thus, increasing the total ecological footprint. In addition, it has been determined that the density of the service sector negatively affects the ecological footprint.https://dergipark.org.tr/tr/pub/istjecon/issue/59329/815891kantil regresyonekolojik ayak izistirpat modelkantil regresyonecological footprintstirpat modelquantile regression |
| spellingShingle | İ̇smail Erkan Çeli̇k Derya Topdağ Tuğçe Acar Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach İstanbul İktisat Dergisi kantil regresyon ekolojik ayak izi stirpat model kantil regresyon ecological footprint stirpat model quantile regression |
| title | Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach |
| title_full | Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach |
| title_fullStr | Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach |
| title_full_unstemmed | Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach |
| title_short | Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach |
| title_sort | estimation of the global scale ecological footprint within the framework of stirpat models the quantile regression approach |
| topic | kantil regresyon ekolojik ayak izi stirpat model kantil regresyon ecological footprint stirpat model quantile regression |
| url | https://dergipark.org.tr/tr/pub/istjecon/issue/59329/815891 |
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