Productivity by industry (ISIC Rev.3) - PDBI

Data - OECD

~/data/oecd/

SUBJECT

PDBI %>%
  left_join(PDBI_var$SUBJECT, by = "SUBJECT") %>%
  group_by(SUBJECT, Subject) %>%
  summarise(nobs = n()) %>%
  arrange(-nobs) %>%
  print_table_conditional()

SUBJECT	Subject	nobs
I3_GVA	Gross value added (GVA)	4978
I3_TOTK	Total capital input	4581
I3_HRSTO	Hours worked	4535
I3_GVAHRS	GVA per hour worked	4256
I3_LCOST	Share of labour input costs in total costs	3753
I3_MFP	Multi-factor productivity	3324

MEASURE

PDBI %>%
  left_join(PDBI_var$MEASURE, by = "MEASURE") %>%
  group_by(MEASURE, Measure) %>%
  summarise(nobs = n()) %>%
  arrange(-nobs) %>%
  print_table_conditional()

MEASURE	Measure	nobs
GRW	Annual growth/change, in %	21674
PCT	Annual share, in %	3753

ACTIVITY

PDBI %>%
  left_join(PDBI_var$ACTIVITY, by = "ACTIVITY") %>%
  group_by(ACTIVITY, Activity) %>%
  summarise(nobs = n()) %>%
  arrange(-nobs) %>%
  print_table_conditional()

ACTIVITY	Activity	nobs
C01T05	Agriculture, hunting, forestry and fishing	2006
C45	Construction	2006
C15T37	Manufacturing	1991
C10T41	Industry including energy	1959
C40T41	Electricity, gas and water supply	1945
C50T55	Wholesale and retail trade, restaurants and hotels	1937
C50T52	Wholesale and retail trade, repairs	1845
C55	Hotel and restaurants	1845
C10T14	Mining and quarrying	1697
C65T74X	Finance, insurance and business services	1695
CTOTALX	Total, excluding real estate	1669
C34T35	Transport equipment	1647
C50T74X	Business sector services excluding real estate	1632
C29T33	Machinery and equipment	1553

LOCATION

PDBI %>%
  left_join(PDBI_var$LOCATION, by = "LOCATION") %>%
  group_by(LOCATION, Location) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Location))),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

Unit Labour Costs

Table

PDBI %>%
  left_join(PDBI_var$LOCATION, by = "LOCATION") %>%
  filter(SUBJECT == "I3_MFP",
         ACTIVITY == "CTOTALX") %>%
  year_to_date() %>%
  group_by(LOCATION, Location) %>%
  summarise(Nobs = n(),
            date1 = first(date),
            date2 = last(date)) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Location))),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

France, Germany

All

PDBI %>%
  filter(SUBJECT == "I3_MFP",
         ACTIVITY == "CTOTALX",
         LOCATION %in% c("FRA", "DEU", "ITA")) %>%
  left_join(PDBI_var$LOCATION, by = "LOCATION") %>%
  left_join(colors, by = c("Location" = "country")) %>%
  year_to_date %>%
  arrange(Location) %>%
  ggplot(.) + geom_line(aes(x = date, y = obsValue, color = color)) + 
  scale_color_identity() + add_3flags + theme_minimal() +
  scale_x_date(breaks = seq(1920, 2025, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = seq(0, 200, 10)) +
  ylab("Unit Labour Costs") + xlab("")