Services, value added (% of GDP) - NV.SRV.TOTL.ZS

Data - WDI

Author

Nobs - Javascript

Code

NV.SRV.TOTL.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  mutate(value = round(value, 1)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `Services Share 1 (%)` = first(value),
            `Year 2` = last(year),
            `Services Share 2 (%)` = last(value)) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Crises in Emerging Markets (Source: Vegh (2013))

1982: Southern Cone - Argentina, Chile, Uruguay

Code

NV.SRV.TOTL.ZS %>%
  year_to_enddate %>%
  filter(iso2c %in% c("AR", "CL", "UY"),
         date >= as.Date("1976-01-01"),
            date <= as.Date("1986-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.7, 0.9),
        legend.direction = "horizontal") +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Services, value added (% of GDP)")

1994: Mexico

Code

NV.SRV.TOTL.ZS %>%
  year_to_enddate %>%
  filter(iso2c %in% c("MX"),
         date <= as.Date("1999-01-01"),
         date >= as.Date("1989-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Services, value added (% of GDP)")

1997: East Asia - Indonesia, Korea, Malaysia, Thailand

Code

NV.SRV.TOTL.ZS %>%
  year_to_enddate %>%
  filter(iso2c %in% c("ID", "KR", "MY", "TH"),
         date <= as.Date("2002-01-01"),
         date >= as.Date("1992-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Services, value added (% of GDP)")

2001: Turkey

Code

NV.SRV.TOTL.ZS %>%
  year_to_enddate %>%
  filter(iso2c %in% c("TR"),
         date <= as.Date("2006-01-01"),
         date >= as.Date("1996-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Services, value added (% of GDP)")

Japan

Code

NV.SRV.TOTL.ZS %>%
  filter(iso2c %in% c("JP")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_enddate %>%
  ggplot(.) + geom_line(aes(x = date, y = value/100)) +
  xlab("") + ylab("Services, value added (% of GDP)") + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 2),
                     labels = scales::percent_format(accuracy = 1))

China, France, Germany

Code

NV.SRV.TOTL.ZS %>%
  filter(iso2c %in% c("CN", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_enddate %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.15, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 5),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Services, value added (% of GDP)")

Italy, Portugal, Spain

Code

NV.SRV.TOTL.ZS %>%
  filter(iso2c %in% c("ES", "IT", "PT")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_enddate %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100,1),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Services, value added (% of GDP)")

Spain, United Kingdom, United States

Code

NV.SRV.TOTL.ZS %>%
  filter(iso2c %in% c("US", "GB", "ES")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_enddate %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.15, 0.85)) +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 5),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Services, value added (% of GDP)")

Argentina, Chile, Venezuela

Code

NV.SRV.TOTL.ZS %>%
  filter(iso2c %in% c("AR", "CL", "VE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_enddate %>%
  mutate(Iso2c = ifelse(iso2c == "VE", "Venezuela", Iso2c)) %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.3, 0.15)) +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 5),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Services, value added (% of GDP)")

Greece, Hong Kong, Mexico

Code

NV.SRV.TOTL.ZS %>%
  filter(iso2c %in% c("GR", "HK", "MX")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_enddate %>%
  mutate(Iso2c = ifelse(iso2c == "HK", "Hong Kong", Iso2c)) %>%
  mutate(value = value/100) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 100, 5),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Services, value added (% of GDP)")