02 Manufacturing Investment (incl. Fixed-Asset Investment Overview)
Interfaces implemented in this chapter are listed below; uncovered indicators are noted under “To be added” at the end.
China urban fixed-asset investment
Interface: macro_china_gdzctz
Source URL: http://data.eastmoney.com/cjsj/gdzctz.html
Description: China urban fixed-asset investment; monthly data from 200802 to present
Limits: Returns all historical data in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| Month | object | - |
| Current month | float64 | Unit: 100 million yuan |
| YoY growth | float64 | Unit: % |
| MoM growth | float64 | Unit: % |
| YTD cumulative | float64 | Unit: 100 million yuan |
Example
import meshare as ms
macro_china_gdzctz_df = ms.macro_china_gdzctz()
print(macro_china_gdzctz_df)
Sample data
Month Current month YoY growth MoM growth YTD cumulative
0 Oct 2022 50047.00 4.27 -7.84 471459.00
1 Sep 2022 54306.00 6.66 14.83 421412.00
2 Aug 2022 47294.00 6.57 -2.25 367106.00
3 Jul 2022 48382.00 3.75 -26.10 319812.00
4 Jun 2022 65466.00 5.62 24.89 271430.00
.. ... ... ... ... ...
158 Jun 2008 18171.78 29.49 53.29 58435.98
159 May 2008 11854.13 25.44 17.45 40264.20
160 Apr 2008 10093.14 25.37 -1.01 28410.07
161 Mar 2008 10195.65 27.31 NaN 18316.94
162 Feb 2008 NaN NaN NaN 8121.29
Manufacturing investment
Interface: macro_china_manufacturing_invest
Source URL: https://data.stats.gov.cn/dg/website/page.html#/pc/national/monthData
Description: NBS monthly series “Fixed-asset investment growth by industry (2018–)”: cumulative YoY of manufacturing fixed-asset investment. Detailed public releases are mainly growth rates; there is generally no matching absolute-value series.
Limits: Returns all monthly data within the specified time range in a single call
Input
| Name | Type | Description |
|---|---|---|
| start | str | Start month YYYYMM; default 201801 (this table starts from 2018) |
| end | str | End month YYYYMM; default 203612 |
Output
| Name | Type | Description |
|---|---|---|
| Month | object | e.g. 2026-06 |
| Month name | object | e.g. Jun 2026 |
| Manufacturing FAI cumulative YoY | float64 | Unit: % |
Example
import meshare as ms
df = ms.macro_china_manufacturing_invest()
print(df.tail())
df = ms.macro_china_manufacturing_invest(start="202001", end="202606")
print(df)
Enterprise boom and entrepreneur confidence indices
Interface: macro_china_enterprise_boom_index
Source URL: http://data.eastmoney.com/cjsj/qyjqzs.html
Description: China enterprise boom index and entrepreneur confidence index; from 2005 Q1 to present
Limits: Returns all historical data in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| Quarter | object | Date |
| Enterprise boom index-Index | float64 | - |
| Enterprise boom index-YoY | float64 | Unit: % |
| Enterprise boom index-QoQ | float64 | Unit: % |
| Entrepreneur confidence-Index | float64 | - |
| Entrepreneur confidence-YoY | float64 | Unit: % |
| Entrepreneur confidence-QoQ | float64 | Unit: % |
Example
import meshare as ms
macro_china_enterprise_boom_index_df = ms.macro_china_enterprise_boom_index()
print(macro_china_enterprise_boom_index_df)
Sample data
Quarter Enterprise boom index-Index Enterprise boom index-YoY ... Entrepreneur confidence-Index Entrepreneur confidence-YoY Entrepreneur confidence-QoQ
0 2022 Q2 101.80 1.80 ... NaN NaN NaN
1 2022 Q1 112.70 12.70 ... NaN NaN NaN
2 2021 Q4 119.20 19.20 ... NaN NaN NaN
3 2021 Q3 119.20 19.20 ... 120.90 20.90 -5.10
4 2021 Q2 123.80 23.80 ... 126.00 26.00 -1.80
.. ... ... ... ... ... ... ...
65 2006 Q1 131.50 31.50 ... 133.10 33.10 7.70
66 2005 Q4 131.70 31.70 ... 125.40 25.40 -2.20
67 2005 Q3 132.00 32.00 ... 127.60 27.60 -0.90
68 2005 Q2 131.71 31.71 ... 128.50 28.50 -7.35
69 2005 Q1 132.46 32.46 ... 135.85 35.85 5.04