I investigate the relationship between income inequality and the carbon dioxide (CO2) content of consumption. I quantify the CO2 content of household expenditure using input-output analysis and estimate Environmental Engel curves (EECs) which describe the income–emissions relationship. Using EECs for ...
Income inequality and carbon consumption: evidence from environmental Engel curves Energy Econ., 84 (2019), Article 104507, 10.1016/j.eneco.2019.104507 View PDFView articleView in ScopusGoogle Scholar Sakadevan and Nguyen, 2017 Sakadevan, K., Nguyen, M.-L., 2017. Livestock Production and Its ...
the average interpretation showed the negative linearity of TEP concentrations with TEPs (R2 = 0.41 ~ 0.65) at such eddies. Additionally, regression curves (R2 = 0.78) indicated
Additionally, the interaction between X3 (Engel’s coefficient) and X8 (number of hospital beds per 10 thousand people) reflect the combined effects on CCD. Higher income levels (low Engel’s coefficient) and greater number of hospital beds improve the living life quality and healthcare access, ...
Metazoan richness curves do not approach saturation Figure 5: Rarefaction curves of the abundance-based coverage estimation (ACE) diversity estimator. Full size image Additional information Accession number:All sequences and associated fusion primer codes have been deposited in the Entrez short read archi...
摘要原文 The paper develops an approach to measuring the impact of environmental regulations on total factor productivity growth which is less restrictive than a simple growth accounting approach. Environmental regulations have a direct impact on productivity growth due to the diversion of resources toward...
Engelman R (1994) Stabilizing the atmosphere: population, consumption and greenhouse gases.https://doi.org/10.13140/RG.2.2.26843.31522 Erdmann L, Hilty LM (2010) Scenario analysis: exploring the macroeconomic impacts of information and communication technologies on greenhouse gas emissions. J Ind Ecol...
12, 13). In these figures, the curves of the GCMs-derived climate data captured very well the pattern (peaks and troughs) of the inter-annual variations in the observed data series from the three weather stations. Results in Table 6 depicted good linear relationship between observed and GCM...
Field monitoring stations can only forecast variations in air quality and assess emissions at separate points; however, the satellite data can overcome this drawback, where it is able to model the horizontal transportation of air pollutants on long and short periods (Engel-Cox et al., 2004) ...
Similar curves are obtained for the metals using 6s,p and 5d electrons. As the nuclear charge is increased for a given transition metal group, the d orbitals do not respond to the increased nuclear charge as strongly as the s and p orbitals, and they become more expanded relative to the ...