Input-output Table for China, 2012 (139 Sectors) — china_io_2012_139

This dataset, china_io_2012_139_df, is a data frame representing the national input-output table of China for the year 2012. It covers 139 sectors and provides inter-sectoral flows of goods and services. Data values are measured in 10,000 Chinese Yuan (CNY) and calculated at producers' prices.

Usage

data(china_io_2012_139_df)

Format

A data frame with 146 observations and 155 variables:

Code: Sector code (character)
Description: Sector description in English (character)
DescriptionInChinese: Sector description in Chinese (character)
001: Input from sector 001 (numeric)
002: Input from sector 002 (numeric)
003: Input from sector 003 (numeric)
004: Input from sector 004 (numeric)
005: Input from sector 005 (numeric)
006: Input from sector 006 (numeric)
007: Input from sector 007 (numeric)
008: Input from sector 008 (numeric)
009: Input from sector 009 (numeric)
010: Input from sector 010 (numeric)
011: Input from sector 011 (numeric)
012: Input from sector 012 (numeric)
013: Input from sector 013 (numeric)
014: Input from sector 014 (numeric)
015: Input from sector 015 (numeric)
016: Input from sector 016 (numeric)
017: Input from sector 017 (numeric)
018: Input from sector 018 (numeric)
019: Input from sector 019 (numeric)
020: Input from sector 020 (numeric)
021: Input from sector 021 (numeric)
022: Input from sector 022 (numeric)
023: Input from sector 023 (numeric)
024: Input from sector 024 (numeric)
025: Input from sector 025 (numeric)
026: Input from sector 026 (numeric)
027: Input from sector 027 (numeric)
028: Input from sector 028 (numeric)
029: Input from sector 029 (numeric)
030: Input from sector 030 (numeric)
031: Input from sector 031 (numeric)
032: Input from sector 032 (numeric)
033: Input from sector 033 (numeric)
034: Input from sector 034 (numeric)
035: Input from sector 035 (numeric)
036: Input from sector 036 (numeric)
037: Input from sector 037 (numeric)
038: Input from sector 038 (numeric)
039: Input from sector 039 (numeric)
040: Input from sector 040 (numeric)
041: Input from sector 041 (numeric)
042: Input from sector 042 (numeric)
043: Input from sector 043 (numeric)
044: Input from sector 044 (numeric)
045: Input from sector 045 (numeric)
046: Input from sector 046 (numeric)
047: Input from sector 047 (numeric)
048: Input from sector 048 (numeric)
049: Input from sector 049 (numeric)
050: Input from sector 050 (numeric)
051: Input from sector 051 (numeric)
052: Input from sector 052 (numeric)
053: Input from sector 053 (numeric)
054: Input from sector 054 (numeric)
055: Input from sector 055 (numeric)
056: Input from sector 056 (numeric)
057: Input from sector 057 (numeric)
058: Input from sector 058 (numeric)
059: Input from sector 059 (numeric)
060: Input from sector 060 (numeric)
061: Input from sector 061 (numeric)
062: Input from sector 062 (numeric)
063: Input from sector 063 (numeric)
064: Input from sector 064 (numeric)
065: Input from sector 065 (numeric)
066: Input from sector 066 (numeric)
067: Input from sector 067 (numeric)
068: Input from sector 068 (numeric)
069: Input from sector 069 (numeric)
070: Input from sector 070 (numeric)
071: Input from sector 071 (numeric)
072: Input from sector 072 (numeric)
073: Input from sector 073 (numeric)
074: Input from sector 074 (numeric)
075: Input from sector 075 (numeric)
076: Input from sector 076 (numeric)
077: Input from sector 077 (numeric)
078: Input from sector 078 (numeric)
079: Input from sector 079 (numeric)
080: Input from sector 080 (numeric)
081: Input from sector 081 (numeric)
082: Input from sector 082 (numeric)
083: Input from sector 083 (numeric)
084: Input from sector 084 (numeric)
085: Input from sector 085 (numeric)
086: Input from sector 086 (numeric)
087: Input from sector 087 (numeric)
088: Input from sector 088 (numeric)
089: Input from sector 089 (numeric)
090: Input from sector 090 (numeric)
091: Input from sector 091 (numeric)
092: Input from sector 092 (numeric)
093: Input from sector 093 (numeric)
094: Input from sector 094 (numeric)
095: Input from sector 095 (numeric)
096: Input from sector 096 (numeric)
097: Input from sector 097 (numeric)
098: Input from sector 098 (numeric)
099: Input from sector 099 (numeric)
100: Input from sector 100 (numeric)
101: Input from sector 101 (numeric)
102: Input from sector 102 (numeric)
103: Input from sector 103 (numeric)
104: Input from sector 104 (numeric)
105: Input from sector 105 (numeric)
106: Input from sector 106 (numeric)
107: Input from sector 107 (numeric)
108: Input from sector 108 (numeric)
109: Input from sector 109 (numeric)
110: Input from sector 110 (numeric)
111: Input from sector 111 (numeric)
112: Input from sector 112 (numeric)
113: Input from sector 113 (numeric)
114: Input from sector 114 (numeric)
115: Input from sector 115 (numeric)
116: Input from sector 116 (numeric)
117: Input from sector 117 (numeric)
118: Input from sector 118 (numeric)
119: Input from sector 119 (numeric)
120: Input from sector 120 (numeric)
121: Input from sector 121 (numeric)
122: Input from sector 122 (numeric)
123: Input from sector 123 (numeric)
124: Input from sector 124 (numeric)
125: Input from sector 125 (numeric)
126: Input from sector 126 (numeric)
127: Input from sector 127 (numeric)
128: Input from sector 128 (numeric)
129: Input from sector 129 (numeric)
130: Input from sector 130 (numeric)
131: Input from sector 131 (numeric)
132: Input from sector 132 (numeric)
133: Input from sector 133 (numeric)
134: Input from sector 134 (numeric)
135: Input from sector 135 (numeric)
136: Input from sector 136 (numeric)
137: Input from sector 137 (numeric)
138: Input from sector 138 (numeric)
139: Input from sector 139 (numeric)
TIU: Total intermediate use (numeric)
FU101: Final use category 101 (numeric)
FU102: Final use category 102 (numeric)
FU103: Final use category 103 (numeric)
TC: Total consumption (numeric)
FU201: Final use category 201 (numeric)
FU202: Final use category 202 (numeric)
GCF: Gross capital formation (numeric)
EX: Exports (numeric)
TFU: Total final use (numeric)
IM: Imports (numeric)
ERR: Statistical discrepancy (numeric)
GO: Gross output (numeric)

Source

Data taken from the ionet package version 0.2.2

Details

The dataset name has been kept as 'china_io_2012_139_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ChinAPIs package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a base R data frame. The original content has not been modified in any way.