Abstract:Abstract:The implementation of environmental taxation is one of the most important issues of environmental policy in Europe. To approach this matter, the paper aims to analyse the determinants of environmental taxation revenue for European countries. Besides investigating the most explored determinants, such as those related to production, consumption and environmental quality, particular attention is paid to some non-trivial factors. Firstly, we analyse the importance of the institutional context that is cruc… Show more
“…With the context above, the existing studies have analyzed environmental tax from various perspectives, with focuses on the driver and linkage with other socioeconomic variables. For example, Castiglione et al (2018) showed that the determinants of ETR were different for different EU countries due to the institution and economic development by comparing three indices of environmental tax [ 8 ]. Further, Andreoni (2019) decomposed the change in ETR into three drivers by LMDI in EU countries and found that economic growth contributed to the increase in ETR [ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…First, unlike most previous studies focusing on driver of ETR over time [ 10 , 11 ], the study comprehensively investigated the spatiotemporal drivers of ETR by using temporal LMDI and newly developed spatials within and between LMDI approaches, simultaneously. Moreover, we conducted the study in the context of the largest developing country, China, which is different from most existing studies on the developed economy (see previous studies, [ 5 , 8 ], for example) and thus provides valuable insights on sustainable development for countries in transition, such as China in particular. Second, the study explored the long-term trend and complex network of ETR based on the newly developed convergence test and social network analysis, which have rarely been documented in the current literature (e.g., Andreoni (2019) and Castiglione et al (2018)) [ 5 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, we conducted the study in the context of the largest developing country, China, which is different from most existing studies on the developed economy (see previous studies, [ 5 , 8 ], for example) and thus provides valuable insights on sustainable development for countries in transition, such as China in particular. Second, the study explored the long-term trend and complex network of ETR based on the newly developed convergence test and social network analysis, which have rarely been documented in the current literature (e.g., Andreoni (2019) and Castiglione et al (2018)) [ 5 , 8 ]. Such new perspectives of ETR from convergence and complex networks can provide important references for policy makers and help to formulate policy implications towards better sustainable development based on environmental tax.…”
Despite extensive studies focused on environmental tax revenue (ETR) on the driver and linkage with socioeconomic variables over time, an in-depth investigation on the spatiotemporal driver and intrinsic characteristics (e.g., convergence and complex network) is in need, providing valuable information on formulating better environmental tax policy towards sustainable development. Therefore, the study comprehensively analyzed the spatiotemporal driver, convergence trend, and complex network of provincial ETR in a case of China over 2000–2019 by using temporal and spatial logarithmic mean Divisia index models (LMDI), convergence models, and social network analysis, respectively. We found that, first, two convergence clubs of ETR for China’s provinces over the period were found. Second, GDP per capita and tax intensity were the positive and negative drivers contributing the increase in ETR. Third, within differences in tax intensity and GDP per capita, as well as the differences in population and GDP per capita, were the main drivers widening the overall ETR gap. Fourth, the original hierarchical ETR spatial correlation structure has changed, while provinces exhibited certain degrees of heterogeneity in terms of ETR spatial association network. The study highlights that ETR plays a significant role in maintaining sustainable development and thus suggests that more importance of environmental tax policies at various levels should be attached.
“…With the context above, the existing studies have analyzed environmental tax from various perspectives, with focuses on the driver and linkage with other socioeconomic variables. For example, Castiglione et al (2018) showed that the determinants of ETR were different for different EU countries due to the institution and economic development by comparing three indices of environmental tax [ 8 ]. Further, Andreoni (2019) decomposed the change in ETR into three drivers by LMDI in EU countries and found that economic growth contributed to the increase in ETR [ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…First, unlike most previous studies focusing on driver of ETR over time [ 10 , 11 ], the study comprehensively investigated the spatiotemporal drivers of ETR by using temporal LMDI and newly developed spatials within and between LMDI approaches, simultaneously. Moreover, we conducted the study in the context of the largest developing country, China, which is different from most existing studies on the developed economy (see previous studies, [ 5 , 8 ], for example) and thus provides valuable insights on sustainable development for countries in transition, such as China in particular. Second, the study explored the long-term trend and complex network of ETR based on the newly developed convergence test and social network analysis, which have rarely been documented in the current literature (e.g., Andreoni (2019) and Castiglione et al (2018)) [ 5 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, we conducted the study in the context of the largest developing country, China, which is different from most existing studies on the developed economy (see previous studies, [ 5 , 8 ], for example) and thus provides valuable insights on sustainable development for countries in transition, such as China in particular. Second, the study explored the long-term trend and complex network of ETR based on the newly developed convergence test and social network analysis, which have rarely been documented in the current literature (e.g., Andreoni (2019) and Castiglione et al (2018)) [ 5 , 8 ]. Such new perspectives of ETR from convergence and complex networks can provide important references for policy makers and help to formulate policy implications towards better sustainable development based on environmental tax.…”
Despite extensive studies focused on environmental tax revenue (ETR) on the driver and linkage with socioeconomic variables over time, an in-depth investigation on the spatiotemporal driver and intrinsic characteristics (e.g., convergence and complex network) is in need, providing valuable information on formulating better environmental tax policy towards sustainable development. Therefore, the study comprehensively analyzed the spatiotemporal driver, convergence trend, and complex network of provincial ETR in a case of China over 2000–2019 by using temporal and spatial logarithmic mean Divisia index models (LMDI), convergence models, and social network analysis, respectively. We found that, first, two convergence clubs of ETR for China’s provinces over the period were found. Second, GDP per capita and tax intensity were the positive and negative drivers contributing the increase in ETR. Third, within differences in tax intensity and GDP per capita, as well as the differences in population and GDP per capita, were the main drivers widening the overall ETR gap. Fourth, the original hierarchical ETR spatial correlation structure has changed, while provinces exhibited certain degrees of heterogeneity in terms of ETR spatial association network. The study highlights that ETR plays a significant role in maintaining sustainable development and thus suggests that more importance of environmental tax policies at various levels should be attached.
“…One of the most recent examples is the accumulation of electric and electronic waste, which is the fastest growing waste stream of the planet (OECD, 2008). Exhausted by desperate living conditions, the local population earns by decomposing electrical and electronic waste in search of chemical components, that are sold in change for little money (Castiglione, Infante, & Smirnova, 2018). This mechanism works despite traditional respect for nature, whcih highlights the indisputable importance of economic welfare for environmental progress, inseparable from the enforcement of institutions.…”
Section: Acquisition Of Environmental Concernmentioning
Acquisition of environmental awareness is undoubtedly a necessary step towards environmental progress. However, due to the complex and interdisciplinary character of the argument, only a little literature has emerged regarding this issue. The paper contributes to fill in this lacuna and investigates the main factors responsible for the acquisition of environmental awareness from the institutional perspective. The acquisition of environmental awareness is seen as an interactive process involving institutional transformation and cognitive responses. The analysis shows that enforcement of formal rules and purposeful construction of informal rules contribute to create a favourable framework for such an acquisition. In enhancing environmental concern, a policy maker should allocate additional resources to formal rules enforcement, while informal rules should be accounted for by considering cultural backgrounds and human capital. Formation of environmental awareness through the spread of environmental education is argued to be a functional tool. The analysis leaves much space for further multidisciplinary research on environmental awareness and could serve as a starting point for the development of an empirical analysis of its determinants.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.