On this R-data statistics page, you will find information about the RiceFarms data set which pertains to Production of Rice in India . The RiceFarms data set is found in the plm R package. You can load the RiceFarms data set in R by issuing the following command at the console data("RiceFarms"). This will load the data into a variable called RiceFarms. If R says the RiceFarms data set is not found, you can try installing the package by issuing this command install.packages("plm") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the RiceFarms R data set. The size of this file is about 97,762 bytes.

Production of Rice in India

Description

a panel of 171 observations

number of observations : 1026

observation : farms

country : Indonesia

Usage

data(RiceFarms)

Format

A dataframe containing :

id

the farm identifier

size

the total area cultivated with rice, measured in hectares

status

land status, on of 'owner' (non sharecroppers, owner operators or leaseholders or both), 'share' (sharecroppers), 'mixed' (mixed of the two previous status)

varieties

one of 'trad' (traditional varieties), 'high' (high yielding varieties) and 'mixed' (mixed varieties)

bimas

bIMAS is an intensification program; one of 'no' (non-bimas farmer), 'yes' (bimas farmer) or 'mixed' (part but not all of farmer's land was registered to be in the bimas program)

seed

seed in kilogram

urea

urea in kilogram

phosphate

phosphate in kilogram

pesticide

pesticide cost in Rupiah

pseed

price of seed in Rupiah per kg

purea

price of urea in Rupiah per kg

pphosph

price of phosphate in Rupiah per kg

hiredlabor

hired labor in hours

famlabor

family labor in hours

totlabor

total labor (excluding harvest labor)

wage

labor wage in Rupiah per hour

goutput

gross output of rice in kg

noutput

net output, gross output minus harvesting cost (paid in terms of rice)

price

price of rough rice in Rupiah per kg

region

one of 'wargabinangun', 'langan', 'gunungwangi', 'malausma', 'sukaambit', 'ciwangi'

Source

Qu Feng and William C. Horrace, (2012) “Alternative Measures of Technical Efficiency: Skew, Bias and Scale”, Journal of Applied Econometrics, 27(2), pp. 253–268.

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Dataset imported from https://www.r-project.org.