Abstract:
Resource mobility (RM), generally speaking, - whether physical resources, human
resource or financial resources, - is a key factor in economic performance. In
this paper we are examining some dimensions of "RM" with respect to" Islamic
financial institutions" (IFIS). We want to indicate the prerequisites which are
necessary to make IFIS more efficient in RM. One hypothesis is that doing tasks
electronically can enhance RM. First section is devoted to introductory notes
and methodology, second section deals with potential significance of IFIS and
their relationship with RM. In the third section, while mentioning the factors
affecting the efficacy of IFIS regarding RM, the relevant test will be
performed. Finally we end up the paper with some concluding remarks and policy
implications.
Machine summary:
"If we create appropriate environment enacting for the IFIS, we hope increasing efficiency in financial activities generally and mobilization of resources particularly Relationship between IFIS and RM In the beginning we express the relationship between IFIS and RM, from economic point of view, and next we explain it in outlook of shariah.
2 Services, etc, value added(% of GDP) Source: based on data from WDI, World Bank, CD- ROM 2003 To mention another evidence of optimal situation of MCS, potentially speaking, we consider some documents of several Islamic banks in these countries.
Table 3: MC ranking regarding ETR, seven semi- indices (2002) Rank Fixed phones Mobile phones TV sets Radio devices Newspapers computers Internet users 1 Emirate Emirate Qatar Surinam Kuwait Qatar Malaysia 2 Turkey Kuwait Brunei Kuwait Saudi Arabia Bahrain Indonesia 3 Bahrain Bahrain Oman Oman Qatar Emirate Turkey Source: arranged based on world bank data (2003) Table4: MCSRanking with respect to infrastructure for ETr (2002) Ranks Country 1-Fi Ranks Country 1-Fi 1 Malaysia 0/001267 29 Benin 0/000275 2 Indonesia 0/000821 30 Tajikistan 0/000275 3 Turkey 0/000725 31 Togo 0/000275 4 Emirate 0/000544 32 Algeria 0/000274 5 Kuwait 0/000482 33 Kyrgyz 0/000273 6 Qatar 0/000456 34 Gambia 0/000269 7 Iran 0/000433 35 Burkina Faso 0/000268 8 Brunei 0/000403 36 Bangladesh 0/000267 9 Saudi Arabia 0/000390 37 Nigeria 0/000267 10 Oman 0/000387 38 Maldives 0/000265 11 Bahrain 0/000383 39 Yamane 0/000263 12 Egypt 0/000376 40 Ivory coast 0/000262 13 Lebanon 0/000375 41 Senegal 0/000258 14 Surinam 0/000370 42 Iraq 0/000256 15 Morocco 0/000342 43 Mauritania 0/000252 16 Gabon 0/000336 44 Cameron 0/000249 17 Jordan 0/000335 45 Sir Leon 0/000249 18 Tunisia 0/000331 46 Guinea - 0/000246 19 Kazakhstan 0/000329 47 Uganda 0/000245 20 Uzbekistan 0/000328 48 Chad 0/000244 21 Guyana 0/000325 49 Mali 0/000244 22 Sudan 0/000321 50 Comoro 0/000242 23 Pakistan 0/000317 51 Djibouti 0/000241 24 Albania 0/000278 52 Niger 0/000237 25 Libya 0/000278 53 Afghanistan 0/000235 26 Syria 0/000277 54 Guinea 0/000233 27 Azerbaijan 0/000276 55 Mozambique 0/000228 28 Turkmenistan 0/000276 56 Somali 0/000228 Source: Calculated Based on Central Bank data (2003), Taxonomy method."