Publications by Haliyeva
ESG indicator performance in resource rich countries: Analysis of post-Soviet space
Executive summary Data from the World Bank has shown that post-soviet nations, which are richer in natural resource rent (% of GDP) have worse ESG indicators compared to nations who have less natural resource rent (% of GDP). Natural resource rent (% of GDP) has been decreasing in all observed countries over the observed time-frame. Increased ...
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Analysis
Inequality in total natural resources rents (% of GDP) among post-Soviet countries can be attributed to the uneven distribution of natural resources across the region.Some countries possess substantial resource endowments, which significantly contribute to their GDP, while others have limited or less valuable natural resources. This disparity ...
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Data cleaning
library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.4.1 ✔ purrr 1.0.1 ## ✔ tibble 3.1.8 ✔ dplyr 1.1.0 ## ✔ tidyr 1.3.0 ✔ stringr 1.5.0 ## ✔ readr 2.1.2 ✔...
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Explanatory analysis and data visualizations part second
Install required packages install.packages(“dcurves”) install.packages(“gtsummary”) install.packages(“tidyr”) install.packages(“DCA”) install.packages(“pROC”) install.packages(“dplyr”) install.packages(“openxlsx”) install.packages(“gridExtra”) install.packages(“ggplot2”) load required libraries library(dcurv...
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Explanatory analysis and data visualizations part third
load required libraries library(quarto) library(tidyverse) Load the data into a data frame df <- data.frame( Country = c(“USA”, “China”, “Japan”, “Germany”, “France”), Debt_GDP_Ratio = c(105.6, 66.2, 237.6, 65.4, 98.5), Debt_Per_Capita = c(62000, 54000, 76000, 47000, 69000), Debt_to_Income_Ratio = c(3.2, 2.5, 4.1, 2.8, 3.6) ...
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Explanatory_analysis_fourth_part
Install required packages if not already installed install.packages(c(“quarto”, “tidyverse”, “ggplot2”, “dplyr”)) Load required libraries library(quarto) library(tidyverse) Load data df <- data.frame( Country = c(“USA”, “China”, “Japan”, “Germany”, “France”), Debt_GDP_Ratio = c(105.6, 66.2, 237.6, 65.4, 98.5),...
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