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  • ──東日本大震災を踏まえて──
    *渡部 順一
    經營學論集
    2016年 86 巻
    発行日: 2016年
    公開日: 2019/10/01
    会議録・要旨集 フリー

    東日本大震災から4年を過ぎ,復旧・復興も進んできたと言われている。一方で,津波被害の大きかった地域では,市町村内産業指標の落ち込みが続いているなど,まだまだ不透明感が漂っている。そうした現状の中,復旧・復興を越えて,新たな産業を創出するには,長い期間と長期にわたる資金の提供が必要となる。

     信用組合は,それぞれの地域の人たちによって組織・運営されている相互扶助の精神を生かした地域密着型の金融機関(地域金融機関)である。

     復旧・復興のために多くの資金が拠出されているものの,被災者の日々の生活等のために支出が多く,産業を下支えするとともに,新たな産業創出に結びついているとは必ずしもいえない。実際に,被災地域の信用組合からは「預金は非常に増えているけれども投資する先がない」という声も聞かれる。

     本稿では,当該地域の地方銀行と信用組合との比較を行うとともに,東日本大震災直後の東北地域信用組合と復興期における東北地域信用組合について検討を行い,被災地信用組合のマネジメントの実態を明らかにしていく。

  • 畔上 秀人
    地域学研究
    2010年 40 巻 1 号 217-228
    発行日: 2010年
    公開日: 2010/07/10
    ジャーナル フリー
    This study deals with the behavior of financial institutions that recently restructured their branches or offices. Japanese financial institutions were under strict geographic banking restrictions until the mid 1990s. Although these restrictions are completely repealed now, the number of branches or offices providing financial services for individuals has decreased during this decade in Japan. According to Azegami[1](2005), this phenomenon may be caused by technological progress in finance, population decline in many municipalities, and the recession of the 1990s. Some studies show that the number of branches or offices is related to the population and the number of establishments in business areas.
    First we reexamined this relationship in the Tohoku Region of Japan consisting of six prefectures; Aomori, Iwate, Miyagi, Akita, Yamagata and Fukushima. The financial institutions here include city banks, regional banks, regional banks II, shinkin banks, credit unions and labor credit associations. The results support our prior studies and show that branches or offices concentrated not only in cities but also in certain small towns play a role as the economic center of the rural region.
    Next we investigated the relationship between the number of closed branches or offices (from the end of September in 2002 to the end of October in 2006) and several explanatory variables such as the change in population. We presumed that there were more closed branches in areas where the population or the number of establishments had decreased. From the results of our OLS analysis, we determined that the number of closed branches was significantly correlated with the decrease in establishments. Against our predictions, the coefficient of population change was positive, indicating branch closure was more frequent in the urban areas where population was still growing. Moreover, we clarified that institutions merging with others significantly decreased the number of branches.
    Finally, we found two cases in which one of two branches had been closed in a municipality and another two cases in which the only branch disappeared from a village. Such towns or villages are still few but inhabitants will have to pay extra transportation costs if the only branch in a town or village closes.

    JFL Classification: G21, R10
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