Linking financial development to environmental performance index—the case of Romania

Bădîrcea, Roxana Maria; Doran, Nicoleta Mihaela; Manta, Alina Georgiana; Puiu, Silvia; Meghisan-Toma, Georgeta-Madalina; Doran, Marius Dalian

doi:10.1080/1331677x.2022.2142635

Cited by 8 publications

(7 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Granger pairwise causality test [52][53][54] is applied to identify the possible directions of causality between the dependent variable and the explanatory variables included in the model.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

E-Government Development—A Key Factor in Government Administration Effectiveness in the European Union

et al. 2023

Self Cite

View full text Add to dashboard Cite

The phenomenon of digitisation of the public sector is an irreversible process that affects both the way public institutions are organised and the communication relationships between people and institutions. The COVID-19 pandemic represented a challenge and a strong impetus in accelerating the digitisation process of public administration at the global level such that it is currently difficult to make a clear distinction between governance and e-governance. The purpose of this research is to investigate the impact of the intensification of the digitisation process of public services in increasing the efficiency of governments at the level of the member states of the European Union, based on a cluster analysis. A robust least squares regression method was used to estimate the effects of the three dimensions of the e-government development index (EGDI) on government effectiveness. The results of the analysis highlighted the fact that the skills of the population in using online services determine the increase in a double percentage of government efficiency in intensively digitised states compared to states where the digitisation of public services is less developed. The development of the telecommunications infrastructure also has a significant positive impact on the efficiency of the government. However, online services offered by public authorities have proven to negatively influence government efficiency in both clusters.

show abstract

Section: Resultsmentioning

confidence: 99%

“…6 -the associated coefficients of the variables, i-the cross-sections number, t-the time period, ε-the standard error of the regression. The Granger pairwise causality test [52][53][54] is applied to identify the possible directions of causality between the dependent variable and the explanatory variables included in the model.…”

Section: Epi X =mentioning

confidence: 99%

E-Government Development—A Key Factor in Government Administration Effectiveness in the European Union

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…In order to achieve the main objective of the study, we used the financial development index to characterize this dimension as comprehensively as possible both from the perspective of the development of markets and institutions [38] and Gini coefficient to measure income inequality in the CEECs. The countries entailed in the analysis are Bulgaria, Czechia, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Romania, Slovenia, and Slovakia.…”

Section: Financial Development Index and Gini Coefficient In Ceecsmentioning

confidence: 99%

“…Thus, a Gini coefficient of 0 represents perfect equality, while a coefficient of 100 implies perfect inequality. Figure 1 The financial development index is calculated in order to define the combination of depth, access, and efficiency of its two major components: financial institutions (banks, insurance companies, mutual funds, and pension funds) and financial markets (stock and bond markets) [38]. The main two sub-indexes are estimated based on 20 indicators following the algorithm in Figure 2.…”

Section: Financial Development Index and Gini Coefficient In Ceecsmentioning

confidence: 99%

How Much Financial Development Accentuates Income Inequality in Central and Eastern European Countries?

Manta,

Badareu,

Florea

et al. 2023

Sustainability

View full text Add to dashboard Cite

Financial development is often associated with significant economic growth, but studies have shown that a high level of financial development can be the cause of deepening income inequality in many countries. The main objective of the proposed study is to identify to what extent financial development influences income inequality in Central and Eastern European Countries (CEEC). Thus, for the model specification we used as dependent variable the Gini coefficient and as independent variable the financial development index. The sample period for the analysis was from 2004 to 2019, restricted by the lack of data on the Gini coefficient in CEECs. Data on the financial development index were collected from International Monetary Fund, and data on the Gini coefficient were extracted from the World Bank’s Poverty and Inequality Platform. The study unravels several contributions. First of all, the use of quantile regression allowed for the examination of the effects of financial development across the entire distribution of income inequality. Second of all, the use of a comprehensive financial development index offered a more robust and comprehensive measure of financial development compared to single indicators. Taking into account that the Gini coefficient must be close to zero, this result was a positive one with, in essence, financial development reducing income inequality in CEECs. Thirdly, the specific focus on CEECs fills a gap in the literature. Finally, the findings of this study have important policy implications. The obtained results indicate a negative causal relationship between financial development and income inequality, emphasizing the fact that the relationship between these two components cannot be generalized for all regions. These might include measures to promote financial inclusion, improve financial literacy, and enhance the stability and efficiency of financial systems. Supporting financial development in CEECs and similar transition economies can be an effective strategy for tackling income inequality.

show abstract

“…Currently, China has entered a new stage of high-quality development, emphasizing the improvement of energy efficiency and resource utilization, reduction of pollutant emissions, and establishing the direction of resource-saving and environmentally friendly development. According to the 2022 (Environmental Performance Index EPI) report, China’s EPI score ranks 160th out of 180 countries, indicating that there is still a certain gap compared with other countries 1 . As the core engine of sustainable development, green development is based on the model of ecological priority and the common development of the social economy.…”

Section: Introductionmentioning

confidence: 99%

Assessment of spatio-temporal evolution trends and driving factors of green development in Harbin-Changchun urban agglomeration

Tang,

Yuan,

Tian

2023

Sci Rep

View full text Add to dashboard Cite

As China has entered a new stage of high-quality development, clarifying the mechanism and spatial characteristics of green development for urban agglomerations are critical to sustainable development. Based on the data of 11 major cities in the Harbin-Changchun urban agglomeration (HCUA) from 2010 to 2020, this study constructs an evaluation system of green development index (GDI) is composed of four dimensions, i.e. urban green construction (UGC), industrial green development (IGD), resource and environmental carrying capacity (RECC), and technological innovation support (TIS). Furthermore, using the entropy weight method to obtain the weights of evaluation indicators. And then, the comprehensive index calculation is used to evaluate the GDI. The driving factors of each level of GDI are determined by the Pearson correlation coefficient. The results infer some novel findings as follows: (1) the overall tendency of the GDI of the HCUA has gradually increased from 0.358 in 2010 to 0.379 in 2020 which is at the average level. The dimension of TIS shows the highest rate of contribution while IGD and RECC show a fluctuating trend over the time window. (2) The GDI in the HCUA exhibits a patchy clustering differentiation feature that spreads from the central area to the surrounding areas with a “high in the south and low in the north” pattern. Specifically, Changchun, Harbin, and Daqing form an “inverted triangle” structure in geographical location to drive the green development of neighboring areas. (3) The core cities of the HCUA, Changchun, and Harbin, show a much higher level than the other cities. Jilin and Daqing are at the average level, and besides, the rest of the cities of GDI are at the poor level with significant fluctuations in ranking. (4) There are different driving factors between each level of GDI. For cities with good and average levels should focus on protecting resources and the environment. Meanwhile, cities with poor level of GDI need to improve IGD to optimize the urban green structure. Thus, it is suggested to strengthen the flow of factors and implement differentiated strategies to promote coordinated development and spatial clustering.

show abstract

Linking financial development to environmental performance index—the case of Romania

Cited by 8 publications

References 47 publications

E-Government Development—A Key Factor in Government Administration Effectiveness in the European Union

E-Government Development—A Key Factor in Government Administration Effectiveness in the European Union

How Much Financial Development Accentuates Income Inequality in Central and Eastern European Countries?

Assessment of spatio-temporal evolution trends and driving factors of green development in Harbin-Changchun urban agglomeration

Contact Info

Product

Resources

About