Corruption and the environmental Kuznets Curve: Empirical evidence for sulfur

By Alexandra Leitão. 2010

250 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f96f31a025489935053e17df6a15e03d1437b510

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Zhaohua Wang
2. Bo Wang
3. Bin Zhang
4. Thai‐Ha Le
5. Youngho Chang
6. Donghyun Park
7. Muhammad Shahbaz
8. Recep Ulucak

In Information Systems

1. Thai‐Ha Le
2. Donghyun Park

In Sociology and Political Science

1. Zhaohua Wang
2. Thai‐Ha Le
3. Bo Wang
4. Donghyun Park
5. Bin Zhang

Citations in the corpus

• Quantifying the spatial heterogeneity influences of natural and socioeconomic factors and their interactions on air pollution using the geographical detector method: A case study of the Yangtze River Economic Belt, China (2019, unknown): “After Grossman and Krueger (1991) proposed the M AN US CR IP T AC CE PT ED environmental Kuznets curve, an extensive number of studies relating the relationship between income and environmental quality have been conducted (Maddision et al., 2006; Leitao, 2010).”
• The moderating role of corruption between economic growth and CO2 emissions: Evidence from BRICS economies (2018, background): “Leitão [18] High and Upper Middle Income, Lower Middle, and Low-Income Fixed effect and random effects Model Evidence displays corruption, and per capita income is positively related to other.”
• Renewable and Nonrenewable Energy Consumption, Economic Growth, and Emissions: International Evidence (2020, background): “Governance quality is added since it can influence the level of potential pollutant emissions (see, for instance, Barrett and Graddy, 2000; Leitao, 2010; Wood and Herzog, 2014; Le et al, 2016).”
• Estimating the environmental Kuznets curve for ecological footprint at the global level: A spatial econometric approach (2013, unknown): “…carbon dioxide, biodiversity conservation and ecological footprint (Shafik and Bandyopadhyay, 1992; Kaufmann et al., 1998; Rothman, 1998a; Bhattarai and Hammig, 2001; Stern, 2004; Galeotti et al., 2006; Managi, 2006; Culas, 2007; Bagliani et al., 2008; Caviglia-Harris et al., 2009; Leitao, 2010).”