Regional Efficiency Dispersion and Convergence Clusters:
Evidence from the Provinces of Indonesia 1990-2010
Carlos Mendez
knitr::opts_chunk$set(
echo = TRUE,
message = FALSE,
warning = FALSE
)
library(tidyverse)
library(plotly) # interactive figures
library(kableExtra) # html tables
library(ggrepel)
# Change the presentation of decimal numbers to 4 and avoid scientific notation
options(prompt="R> ", digits=2, scipen=999)1 Synopsis
The paper of Mendez (2019) studies efficiency convergence across provinces in Indonesia over the 1990-2010 period. Results from the distributional convergence framework indicate the existence of two separate convergence clusters within the pure technical efficiency distribution. Moreover, since scale efficiency is characterized by only one convergence cluster, the two clusters of pure technical efficiency appear to be driving the overall efficiency dynamics of Indonesia.
2 Data
Source: Efficiency scores are from Kataoka (2018). Efficiency clusters are from Mendez (2019)
3 Pure technical efficiency clusters
PE <- dat %>%
ggplot(aes(x = PE1990,
y = PE2010,
shape = ClusterPE,
color = ClusterPE,
label = region,
)
) +
geom_point(size=3) +
geom_text_repel()
PE
Interactive version:
4 Scale efficiency clusters
SE <- dat %>%
ggplot(aes(x = SE1990,
y = SE2010,
shape = ClusterSE,
color = ClusterSE,
label = region,
)
) +
geom_point(size=3) +
geom_text_repel()
SE
Interactive version:
5 Overall efficiency clusters
OE <- dat %>%
ggplot(aes(x = OE1990,
y = OE2010,
shape = ClusterOE,
color = ClusterOE,
label = region,
)
) +
geom_point(size=3) +
geom_text_repel()
OE
Interactive version:
6 References
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