Model to Predict Pork Price Based on Broad Money Supply and Production Cycles in China
The price of pork in China has become the world's most watched economic indicator because it is directly related to the level of inflation, consumption and domestic demand. Therefore, it is significant to establish a proper model of pork price to forecast its future price tends. In this study,...
Gespeichert in:
Veröffentlicht in: | Information Technology Journal 2013, Vol.12 (15), p.3320-3324 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 3324 |
---|---|
container_issue | 15 |
container_start_page | 3320 |
container_title | Information Technology Journal |
container_volume | 12 |
creator | Hongquan, Qu Chenzheng, Li Changnian, Zhang Xinyue, Chen Yuting, Liu |
description | The price of pork in China has become the world's most watched economic indicator because it is directly related to the level of inflation, consumption and domestic demand. Therefore, it is significant to establish a proper model of pork price to forecast its future price tends. In this study, based on analyzing the change fluctuation data of the pork price, the Broad Money Supply (M2) and the pig growth cycle in recent 10 years, we establish a new pork price model by using linear regression and residual fitting method. Compared with the real pork price data, the fitting precision of the presented model can be smaller than 1.5%. This pork price model can be used to forecast the future distribution range of pork price in China in the future roughly. |
doi_str_mv | 10.3923/itj.2013.3320.3324 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1531030906</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1531030906</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1904-497fc94fe44b240c4325ce9cccf74f94bddb2147af3bca5bf6c81536813ff51a3</originalsourceid><addsrcrecordid>eNo9kMlOwzAURS0EEmX4AVZesknxlMFLWjFJrajEsLWcZ1u4pHGwk0X-nkRFbO67Vzp6i4PQDSVLLhm_8_1-yQjlS84ZmUOcoAWtKMvyQhSn_51X5-gipT0heZlTukCf22Bsg_uAd9EaDz3ehfg9DQ8Wr3SyBocWr2LQBm9Da0f8NnRdM2LdmokKZoDeT8R6hMYm7Kf25Vt9hc6cbpK9_ruX6OPx4X39nG1en17W95sMqCQiE7J0IIWzQtRMEBCc5WAlALhSOClqY2pGRakdr0HntSugojkvKsqdy6nml-j2-LeL4WewqVcHn8A2jW5tGJKaYEo4kaSYUHZEIYaUonWqi_6g46goUbNENUlUs0Q1S5xD8F_x42UL</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1531030906</pqid></control><display><type>article</type><title>Model to Predict Pork Price Based on Broad Money Supply and Production Cycles in China</title><source>EZB-FREE-00999 freely available EZB journals</source><source>Science Alert</source><creator>Hongquan, Qu ; Chenzheng, Li ; Changnian, Zhang ; Xinyue, Chen ; Yuting, Liu</creator><creatorcontrib>Hongquan, Qu ; Chenzheng, Li ; Changnian, Zhang ; Xinyue, Chen ; Yuting, Liu</creatorcontrib><description>The price of pork in China has become the world's most watched economic indicator because it is directly related to the level of inflation, consumption and domestic demand. Therefore, it is significant to establish a proper model of pork price to forecast its future price tends. In this study, based on analyzing the change fluctuation data of the pork price, the Broad Money Supply (M2) and the pig growth cycle in recent 10 years, we establish a new pork price model by using linear regression and residual fitting method. Compared with the real pork price data, the fitting precision of the presented model can be smaller than 1.5%. This pork price model can be used to forecast the future distribution range of pork price in China in the future roughly.</description><identifier>ISSN: 1812-5638</identifier><identifier>EISSN: 1812-5646</identifier><identifier>DOI: 10.3923/itj.2013.3320.3324</identifier><language>eng</language><subject>China ; Domestic ; Economics ; Fittings ; Inflation ; Mathematical models ; Pork ; Regression</subject><ispartof>Information Technology Journal, 2013, Vol.12 (15), p.3320-3324</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,4025,27925,27926,27927</link.rule.ids></links><search><creatorcontrib>Hongquan, Qu</creatorcontrib><creatorcontrib>Chenzheng, Li</creatorcontrib><creatorcontrib>Changnian, Zhang</creatorcontrib><creatorcontrib>Xinyue, Chen</creatorcontrib><creatorcontrib>Yuting, Liu</creatorcontrib><title>Model to Predict Pork Price Based on Broad Money Supply and Production Cycles in China</title><title>Information Technology Journal</title><description>The price of pork in China has become the world's most watched economic indicator because it is directly related to the level of inflation, consumption and domestic demand. Therefore, it is significant to establish a proper model of pork price to forecast its future price tends. In this study, based on analyzing the change fluctuation data of the pork price, the Broad Money Supply (M2) and the pig growth cycle in recent 10 years, we establish a new pork price model by using linear regression and residual fitting method. Compared with the real pork price data, the fitting precision of the presented model can be smaller than 1.5%. This pork price model can be used to forecast the future distribution range of pork price in China in the future roughly.</description><subject>China</subject><subject>Domestic</subject><subject>Economics</subject><subject>Fittings</subject><subject>Inflation</subject><subject>Mathematical models</subject><subject>Pork</subject><subject>Regression</subject><issn>1812-5638</issn><issn>1812-5646</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNo9kMlOwzAURS0EEmX4AVZesknxlMFLWjFJrajEsLWcZ1u4pHGwk0X-nkRFbO67Vzp6i4PQDSVLLhm_8_1-yQjlS84ZmUOcoAWtKMvyQhSn_51X5-gipT0heZlTukCf22Bsg_uAd9EaDz3ehfg9DQ8Wr3SyBocWr2LQBm9Da0f8NnRdM2LdmokKZoDeT8R6hMYm7Kf25Vt9hc6cbpK9_ruX6OPx4X39nG1en17W95sMqCQiE7J0IIWzQtRMEBCc5WAlALhSOClqY2pGRakdr0HntSugojkvKsqdy6nml-j2-LeL4WewqVcHn8A2jW5tGJKaYEo4kaSYUHZEIYaUonWqi_6g46goUbNENUlUs0Q1S5xD8F_x42UL</recordid><startdate>2013</startdate><enddate>2013</enddate><creator>Hongquan, Qu</creator><creator>Chenzheng, Li</creator><creator>Changnian, Zhang</creator><creator>Xinyue, Chen</creator><creator>Yuting, Liu</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>2013</creationdate><title>Model to Predict Pork Price Based on Broad Money Supply and Production Cycles in China</title><author>Hongquan, Qu ; Chenzheng, Li ; Changnian, Zhang ; Xinyue, Chen ; Yuting, Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1904-497fc94fe44b240c4325ce9cccf74f94bddb2147af3bca5bf6c81536813ff51a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>China</topic><topic>Domestic</topic><topic>Economics</topic><topic>Fittings</topic><topic>Inflation</topic><topic>Mathematical models</topic><topic>Pork</topic><topic>Regression</topic><toplevel>online_resources</toplevel><creatorcontrib>Hongquan, Qu</creatorcontrib><creatorcontrib>Chenzheng, Li</creatorcontrib><creatorcontrib>Changnian, Zhang</creatorcontrib><creatorcontrib>Xinyue, Chen</creatorcontrib><creatorcontrib>Yuting, Liu</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Information Technology Journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hongquan, Qu</au><au>Chenzheng, Li</au><au>Changnian, Zhang</au><au>Xinyue, Chen</au><au>Yuting, Liu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model to Predict Pork Price Based on Broad Money Supply and Production Cycles in China</atitle><jtitle>Information Technology Journal</jtitle><date>2013</date><risdate>2013</risdate><volume>12</volume><issue>15</issue><spage>3320</spage><epage>3324</epage><pages>3320-3324</pages><issn>1812-5638</issn><eissn>1812-5646</eissn><abstract>The price of pork in China has become the world's most watched economic indicator because it is directly related to the level of inflation, consumption and domestic demand. Therefore, it is significant to establish a proper model of pork price to forecast its future price tends. In this study, based on analyzing the change fluctuation data of the pork price, the Broad Money Supply (M2) and the pig growth cycle in recent 10 years, we establish a new pork price model by using linear regression and residual fitting method. Compared with the real pork price data, the fitting precision of the presented model can be smaller than 1.5%. This pork price model can be used to forecast the future distribution range of pork price in China in the future roughly.</abstract><doi>10.3923/itj.2013.3320.3324</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1812-5638 |
ispartof | Information Technology Journal, 2013, Vol.12 (15), p.3320-3324 |
issn | 1812-5638 1812-5646 |
language | eng |
recordid | cdi_proquest_miscellaneous_1531030906 |
source | EZB-FREE-00999 freely available EZB journals; Science Alert |
subjects | China Domestic Economics Fittings Inflation Mathematical models Pork Regression |
title | Model to Predict Pork Price Based on Broad Money Supply and Production Cycles in China |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T10%3A26%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Model%20to%20Predict%20Pork%20Price%20Based%20on%20Broad%20Money%20Supply%20and%20Production%20Cycles%20in%20China&rft.jtitle=Information%20Technology%20Journal&rft.au=Hongquan,%20Qu&rft.date=2013&rft.volume=12&rft.issue=15&rft.spage=3320&rft.epage=3324&rft.pages=3320-3324&rft.issn=1812-5638&rft.eissn=1812-5646&rft_id=info:doi/10.3923/itj.2013.3320.3324&rft_dat=%3Cproquest_cross%3E1531030906%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1531030906&rft_id=info:pmid/&rfr_iscdi=true |