インドネシア共和国サマリンダ市における事業所の雇用圏域に関する実証的研究　吸収制約型グラビティモデルによる分析

• 守田 秀則

  香川大学農学部

• 北村 貞太郎

  京都大学農学部

書誌事項

タイトル別名

• An Empirical Study on the Employment Sphere of Establishments in Samarinda Municipality, the Republic of Indonesia. Applied Attraction-Constrained Gravity Model.
• -Applied Attraction-Constrained Gravity Model-
• ―吸収制約型グラビティモデルによる分析―

抄録

In developing countries, it is seemed that to improve the population keeping capacity in local city area utilized establishments employment has been one of the pressing needs. In the paper, we attempted to make clear the spatial structure of employment sphere of establishments in Samarinda municipality, the Republic of Indonesia, as one of the case of local city area in developing countries.<BR>As the samples for this study, we inquired the addresses, where who had dwelt when who hired, of totally 908 employees at 29 establishments in Samarinda municipality. As the analytical method on the spatial structure of the residential distributions of samples, we applied the attraction-constrained gravity model eq. (1) and we examined the components of explanatory variables, V, and Si, and the fluctuation factors of parameter A in the eq. (1) by following methods.<BR>(1)<BR>Tij; the number of employees who had dwelt in zone i at the time when who hired at establishment j.<BR>Vi; emissiveness index on zone i.<BR>Vi=IIXikαk (Xik; the k-th variable on zone i, αk; parameter) <BR>Sij; separation index between zone i and establishment j.<BR>Sij=dij+γδij (dij; route distance between zone i and establishment j, δij dummy variable (1 if it is necessary to use boat traffic between zone i and establishment j, 0 otherwise), y; parameter) .<BR>λ; parameter.<BR>For examination on the components of explanatory variables in the eq. (1), we adopted 5 variables concerned with geographical attributes on zone i, which were 3 variables as components of Vi, population, CBD distance and agricultural-land/housing-land ratio, and 2 variables as components of Si, route distance and the necessity of boat commuting.<BR>We examined the significance of above 5 explanatory variables using t-test on parameters. We also examined the influence of them to the fluctuation of Ti, based on the plus or minus sign of parameters.<BR>For examination on the fluctuation factors of parameter A in the eq. (1), we applied multiple regression analysis eq. (2) which adopted 9 variables as the explanatory variables, which were 3 variables on individual attributes of employees, 3 variables on attractiveness of establishments and 3 variables on traffic condition.<BR>(2)<BR>Xl; the l-th variable on employees (l=1-3) .<BR>Ym; the m-th variable on attractiveness of establishments (m=1-3) .<BR>Zn; the n-th variable on traffic condition (n=1-3) .<BR>β; partial regression coefficient.<BR>The summary of results are follows.<BR>From the examination by eq. (1), it was indicated that population and CBD distance of zone i were positive factors and agricultural-land/housing-land ratio, route distance and the necessity of boat commuting of zone i were negative factors for the fluctuation of Ti, . Also it was indicated that two explanatory variables, population by zone and commuting distance, were the basic fluctuation factors.<BR>From the examination by eq. (2), it was indicated that passage of time and male/female ratio of employees were positive factors for the fluctuation of parameter λ

収録刊行物

• 農村計画学会誌

  農村計画学会誌 12 (3), 8-19, 1993

  農村計画学会

詳細情報

• CRID: 1390282679746734592
• NII論文ID: 130004048100
• DOI: 10.2750/arp.12.3_8
• ISSN: 18812309
• ISSN: 09129731
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可