|
|
|
|
| LEADER |
03141nmm a2200757 u 4500 |
| 001 |
EB001892210 |
| 003 |
EBX01000000000000001055357 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
200301 ||| eng |
| 020 |
|
|
|a 9781484375914
|
| 100 |
1 |
|
|a Chen, Linxi
|
| 245 |
0 |
0 |
|a China’s Capacity Reduction Reform and Its Impact on Producer Prices
|c Linxi Chen, Ding Ding, Rui Mano
|
| 260 |
|
|
|a Washington, D.C.
|b International Monetary Fund
|c 2018
|
| 300 |
|
|
|a 17 pages
|
| 651 |
|
4 |
|a China, People's Republic of
|
| 653 |
|
|
|a Natural Resource Extraction
|
| 653 |
|
|
|a Producer prices
|
| 653 |
|
|
|a Dynamic Treatment Effect Models
|
| 653 |
|
|
|a Financial crises
|
| 653 |
|
|
|a Mineral industries
|
| 653 |
|
|
|a Natural resources
|
| 653 |
|
|
|a Deflation
|
| 653 |
|
|
|a Non-renewable resources
|
| 653 |
|
|
|a Environmental management
|
| 653 |
|
|
|a Metals and Metal Products
|
| 653 |
|
|
|a Economics of specific sectors
|
| 653 |
|
|
|a Time-Series Models
|
| 653 |
|
|
|a Glass
|
| 653 |
|
|
|a Informal Economy
|
| 653 |
|
|
|a Foreign Exchange
|
| 653 |
|
|
|a Currency crises
|
| 653 |
|
|
|a International Economics
|
| 653 |
|
|
|a Producer price indexes
|
| 653 |
|
|
|a Macroeconomics
|
| 653 |
|
|
|a Industry Studies: Primary Products and Construction: General
|
| 653 |
|
|
|a Economic & financial crises & disasters
|
| 653 |
|
|
|a Inflation
|
| 653 |
|
|
|a Price indexes
|
| 653 |
|
|
|a Environment
|
| 653 |
|
|
|a Economics: General
|
| 653 |
|
|
|a Natural Resources
|
| 653 |
|
|
|a Mining sector
|
| 653 |
|
|
|a Diffusion Processes
|
| 653 |
|
|
|a Informal sector; Economics
|
| 653 |
|
|
|a Metal prices
|
| 653 |
|
|
|a Economic sectors
|
| 653 |
|
|
|a Cement
|
| 653 |
|
|
|a Nonrenewable Resources and Conservation: General
|
| 653 |
|
|
|a Price Level
|
| 653 |
|
|
|a Ceramics
|
| 653 |
|
|
|a Metals; Prices
|
| 653 |
|
|
|a Prices
|
| 653 |
|
|
|a Underground Econom
|
| 653 |
|
|
|a Studies of Particular Policy Episodes
|
| 653 |
|
|
|a Dynamic Quantile Regressions
|
| 653 |
|
|
|a Extractive industries
|
| 700 |
1 |
|
|a Ding, Ding
|
| 700 |
1 |
|
|a Mano, Rui
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b IMF
|a International Monetary Fund
|
| 490 |
0 |
|
|a IMF Working Papers
|
| 028 |
5 |
0 |
|a 10.5089/9781484375914.001
|
| 856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2018/216/001.2018.issue-216-en.xml?cid=46223-com-dsp-marc
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 330
|
| 520 |
|
|
|a In late 2015, the Chinese authorities launched a policy to reduce capacity in the coal and steel industries under the wider effort of Supply-Side Structural Reforms. Around the same time, producer price inflation in China started to pick up strongly after being trapped in negative territory for more than fifty consecutive months. So what is behind this strong reflation—capacity cuts in coal and steel, or a strengthening of aggregate demand? Our empirical analyses indicate that a pickup in aggregate demand, possibly due to the government’s stimulus package in 2015-16, was the more important driver. Capacity cuts played a role in propping up coal and steel prices, explaining at most 40 percent of their price increase
|