Maize Price Volatility: Does Market Remoteness Matter?
This paper addresses the role of market remoteness in explaining maize price volatility in Burkina Faso. A model of price formation is introduced to demonstrate formally that transport costs between urban and rural markets exacerbate maize price volatility. Empirical support is provided to the propo...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Washington, D.C
The World Bank
2015
|
Schriftenreihe: | World Bank E-Library Archive
|
Online-Zugang: | Volltext |
Zusammenfassung: | This paper addresses the role of market remoteness in explaining maize price volatility in Burkina Faso. A model of price formation is introduced to demonstrate formally that transport costs between urban and rural markets exacerbate maize price volatility. Empirical support is provided to the proposition by exploring an unusually rich data set of monthly maize price series across 28 markets over 2004-13. The methodology relies on an autoregressive conditional heteroskedasticity model to investigate the statistical effect of road quality and distance from urban consumption centers on maize price volatility. The analysis finds that maize price volatility is greatest in remote markets. The results also show that maize-surplus markets and markets bordering Côte d'Ivoire, Ghana and Togo have experienced more volatile prices than maize-deficit and non-bordering markets. The findings suggest that enhancing road infrastructure would strengthen the links between rural markets and major consumption centers, thereby also stabilizing maize prices |
Beschreibung: | 1 Online-Ressource (33 p) |
DOI: | 10.1596/1813-9450-7202 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV048269349 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 220609s2015 |||| o||u| ||||||eng d | ||
024 | 7 | |a 10.1596/1813-9450-7202 |2 doi | |
035 | |a (ZDB-1-WBA)NLM010466126 | ||
035 | |a (OCoLC)1334040903 | ||
035 | |a (DE-599)GBVNLM010466126 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-12 |a DE-521 |a DE-573 |a DE-523 |a DE-Re13 |a DE-19 |a DE-355 |a DE-703 |a DE-91 |a DE-706 |a DE-29 |a DE-M347 |a DE-473 |a DE-824 |a DE-20 |a DE-739 |a DE-1043 |a DE-863 |a DE-862 | ||
100 | 1 | |a Moctar, Ndiaye |e Verfasser |4 aut | |
245 | 1 | 0 | |a Maize Price Volatility |b Does Market Remoteness Matter? |c Moctar, Ndiaye |
264 | 1 | |a Washington, D.C |b The World Bank |c 2015 | |
300 | |a 1 Online-Ressource (33 p) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a World Bank E-Library Archive | |
520 | |a This paper addresses the role of market remoteness in explaining maize price volatility in Burkina Faso. A model of price formation is introduced to demonstrate formally that transport costs between urban and rural markets exacerbate maize price volatility. Empirical support is provided to the proposition by exploring an unusually rich data set of monthly maize price series across 28 markets over 2004-13. The methodology relies on an autoregressive conditional heteroskedasticity model to investigate the statistical effect of road quality and distance from urban consumption centers on maize price volatility. The analysis finds that maize price volatility is greatest in remote markets. The results also show that maize-surplus markets and markets bordering Côte d'Ivoire, Ghana and Togo have experienced more volatile prices than maize-deficit and non-bordering markets. The findings suggest that enhancing road infrastructure would strengthen the links between rural markets and major consumption centers, thereby also stabilizing maize prices | ||
700 | 1 | |a Moctar, Ndiaye |4 oth | |
700 | 1 | |a Tristan, Le Cotty |4 oth | |
700 | 1 | |a Elodie, Maitre d'Hôtel |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Moctar, Ndiaye |t Maize Price Volatility |d Washington, D.C : The World Bank, 2015 |
856 | 4 | 0 | |u https://doi.org/10.1596/1813-9450-7202 |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-1-WBA | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033649544 |
Datensatz im Suchindex
_version_ | 1824556190040850432 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Moctar, Ndiaye |
author_facet | Moctar, Ndiaye |
author_role | aut |
author_sort | Moctar, Ndiaye |
author_variant | n m nm |
building | Verbundindex |
bvnumber | BV048269349 |
collection | ZDB-1-WBA |
ctrlnum | (ZDB-1-WBA)NLM010466126 (OCoLC)1334040903 (DE-599)GBVNLM010466126 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1596/1813-9450-7202 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000zc 4500</leader><controlfield tag="001">BV048269349</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220609s2015 |||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1596/1813-9450-7202</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-1-WBA)NLM010466126</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1334040903</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVNLM010466126</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-Re13</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Moctar, Ndiaye</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Maize Price Volatility</subfield><subfield code="b">Does Market Remoteness Matter?</subfield><subfield code="c">Moctar, Ndiaye</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Washington, D.C</subfield><subfield code="b">The World Bank</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (33 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">World Bank E-Library Archive</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper addresses the role of market remoteness in explaining maize price volatility in Burkina Faso. A model of price formation is introduced to demonstrate formally that transport costs between urban and rural markets exacerbate maize price volatility. Empirical support is provided to the proposition by exploring an unusually rich data set of monthly maize price series across 28 markets over 2004-13. The methodology relies on an autoregressive conditional heteroskedasticity model to investigate the statistical effect of road quality and distance from urban consumption centers on maize price volatility. The analysis finds that maize price volatility is greatest in remote markets. The results also show that maize-surplus markets and markets bordering Côte d'Ivoire, Ghana and Togo have experienced more volatile prices than maize-deficit and non-bordering markets. The findings suggest that enhancing road infrastructure would strengthen the links between rural markets and major consumption centers, thereby also stabilizing maize prices</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Moctar, Ndiaye</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tristan, Le Cotty</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Elodie, Maitre d'Hôtel</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Moctar, Ndiaye</subfield><subfield code="t">Maize Price Volatility</subfield><subfield code="d">Washington, D.C : The World Bank, 2015</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1596/1813-9450-7202</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-WBA</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033649544</subfield></datafield></record></collection> |
id | DE-604.BV048269349 |
illustrated | Not Illustrated |
index_date | 2024-07-03T20:00:00Z |
indexdate | 2025-02-20T07:19:37Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033649544 |
oclc_num | 1334040903 |
open_access_boolean | 1 |
owner | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
owner_facet | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
physical | 1 Online-Ressource (33 p) |
psigel | ZDB-1-WBA |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | The World Bank |
record_format | marc |
series2 | World Bank E-Library Archive |
spellingShingle | Moctar, Ndiaye Maize Price Volatility Does Market Remoteness Matter? |
title | Maize Price Volatility Does Market Remoteness Matter? |
title_auth | Maize Price Volatility Does Market Remoteness Matter? |
title_exact_search | Maize Price Volatility Does Market Remoteness Matter? |
title_exact_search_txtP | Maize Price Volatility Does Market Remoteness Matter? |
title_full | Maize Price Volatility Does Market Remoteness Matter? Moctar, Ndiaye |
title_fullStr | Maize Price Volatility Does Market Remoteness Matter? Moctar, Ndiaye |
title_full_unstemmed | Maize Price Volatility Does Market Remoteness Matter? Moctar, Ndiaye |
title_short | Maize Price Volatility |
title_sort | maize price volatility does market remoteness matter |
title_sub | Does Market Remoteness Matter? |
url | https://doi.org/10.1596/1813-9450-7202 |
work_keys_str_mv | AT moctarndiaye maizepricevolatilitydoesmarketremotenessmatter AT tristanlecotty maizepricevolatilitydoesmarketremotenessmatter AT elodiemaitredhotel maizepricevolatilitydoesmarketremotenessmatter |