No.7

ISSN 2189-2008

社会と統計
第７号

立教大学 社会情報教育研究センター 研究紀要

2021年2月

┠ḟ  (1)ᅈ˟ểወᚘᴾᇹᵕӭ‫ن‬ଢ଼஢ঀ‫هॺش‬‫؞‬॥টॼምपउऐॊଁੑઇ୘
ٕ&6, भड़থॹঐথॻदभଁੑઇ୘॑౷ऽइञ੝ఒ‫ش‬৛ઠ ย঳ ৛ઠ ਮ෇ ୅ি ৰ‫كق‬‫؞‬ৗ஑॥টॼक़ॖঝ५૎ഉඪ॑ਭऐञଁੑ੿ਛਃঢ়भৌૢ᫟ম ઌ঳ ਧ௔ ৤ྪ ᨒম ௏‫كق‬‫ن‬ৱમ‫ه‬‫؞‬੕ਜ੄ଁੑॹ‫ॱش‬ਹણ৷७থॱ‫఺ش‬लਮస৛਩ॹ‫ॱش‬ਹણ৷௓ਤ७থॱ‫ش‬ল୑ਾઔᨒম ௏‫كق‬‫؞‬ਲਗॹ‫ش॔ॱش‬ढ़ॖঈभ৿਱
ٕ-60ফઃপভभਾઔऊै‫ش‬૜ેຮ ༟ ❅ଶऊउॉ‫كق‬‫ن‬७থॱ‫ش‬ણ৿ਾઔ‫ه‬‫ ؞‬ফ২঺ভੲਾઇ୘ଢ଼஢७থॱ‫ش‬ଢ଼஢ણ৿ಉਾઔ

‫كق‬

(2) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ㹙◊✲ࣀ࣮ࢺ㹛ࢥࣟࢼ⚝࡟࠾ࡅࡿ⤫ィᩍ⫱ (3)ࠓ◊✲ࣀ࣮ࢺࠔ

ࢥࣟࢼ⚝࡟࠾ࡅࡿ⤫ィᩍ⫱̿CSI ࡢ࢜ࣥࢹ࣐ࣥࢻ࡛ࡢ⤫ィᩍ⫱ࢆ㋃ࡲ࠼ࡓᨵၿ̿
ᒣཱྀ ㄔ୍
ᒣཱྀ ࿴⠊
㛛⏣ ᐇ
࠙せ᪨ࠚ ୡ⏺ⓗ࡞᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫࡢឤᰁᣑ኱࡟క࠸㸪2020 ᖺᗘࡢ኱Ꮫᩍ⫱ࡀ㐲㝸ᤵᴗࢆ୰ᚰ࡜ࡋࡓ
ࡶࡢ࡟࡞ࡗࡓ㸬ᑐ㠃࡛ࡢㅮ⩏ࡢ㔜せᛶࡣ࠶ࡿ࡜ࡋ࡚ࡶ㸪ࢹ࣮ࢱศᯒࡢࢫ࢟ࣝࡢ⩦ᚓ࡟࠾࠸࡚ࡣ㸪Ꮫ⩦⪅ࡀྛ⮬ࡢ࣮࣌ࢫ࡟ྜࢃࡏ࡚㸪⧞ࡾ㏉ࡋど⫈ࡋ☜ㄆࡋ࡞ࡀࡽᏛࡧࢆ㐍ࡵࡿࡇ࡜ࡀ࡛ࡁࡿⅬ࡛㸪࢜ࣥࢹ࣐ࣥࢻᙧ
ᘧ࡛ࡢᏛࡧ࡟ࡶ኱ࡁ࡞࣓ࣜࢵࢺࡀ࠶ࡿ࡜࠸࠼ࡿ㸬ேᩥ♫఍⛉Ꮫ⣔Ꮫ㒊࡛ࡢ⤫ィᏛࡢᇶ♏ࡢࢡࣛࢫࡣ㸪ࢡࣛࢫࢧ࢖ࢬࡀ኱ࡁࡃ࡞ࡿࡇ࡜ࡀከࡃ㸪ࡲࡓᏛ⩦⪅ࡢᩘᏛࡸࢥࣥࣆ࣮ࣗࢱࢫ࢟ࣝ➼ࡢᇶ♏ຊࡢࡤࡽࡘࡁࡣ኱ࡁ
࠸㸬୍᪉㸪⤫ィⓗᛮ⪃ຊࡢ⫱ᡂࢆ┠ⓗ࡜ࡍࡿᏛ⩦࡟࠾࠸࡚ࡣ㸪⤫ィ࡞࡝ࡢ࢚ࣅࢹࣥࢫࢆ⏝࠸ࡓࢥ࣑ࣗࢽࢣ
࣮ࢩࣙࣥࡢᶵ఍ࡢᥦ౪ࡀ㔜せ࡟࡞ࡿࡀ㸪࢜ࣥࢹ࣐ࣥࢻᙧᘧ࡛ࡣ㸪ࡇࡢࡼ࠺࡞ᶵ఍ࢆᥦ౪ࡍࡿࡇ࡜ࡀ㞴ࡋࡃ࡞ࡿ㸬ᮏሗ࿌࡛ࡣ㸪2020 ᖺᗘࡢ❧ᩍ኱Ꮫ࡟࠾ࡅࡿ⤫ィᏛ࡟㛵ࡍࡿ࢜ࣥࢹ࣐ࣥࢻࢆ୺࡜ࡋࡓ㐲㝸ᤵᴗࡢ஦౛
ࢆྲྀࡾୖࡆ㸪ࡑࡇ࡛ᐇ᪋ࡉࢀࡓࢥࣥࢸࣥࢶࡢ⤂௓࡜㸪Ꮫ⩦⪅ࡢ஦๓࡜஦ᚋࡢㄪᰝ࠿ࡽࡳࡿᩍ⫱ຠᯝ࡟ࡘ࠸
࡚ࡢ☜ㄆ㸪ࡉࡽ࡟ࡣṧࡉࢀࡓㄢ㢟ࢆ♧ࡍ㸬࣮࣮࢟࣡ࢻ : 㐲㝸ᤵᴗ㸪࢜ࣥࢹ࣐ࣥࢻᤵᴗ㸪ࢹ࣮ࢱࢧ࢖࢚ࣥࢫᩍ⫱Ϩ ࡣࡌࡵ࡟
 2020 ᖺᗘࡣ㸪᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁᣑ኱࡟క࠺ᥐ⨨࡜ࡋ࡚㸪ከࡃࡢ኱Ꮫ࡛㐲㝸ᤵᴗࡀᒎ㛤ࡉࢀࡿࡇ࡜࡜࡞ࡗࡓ㸬❧ᩍ኱Ꮫ࡛ࡶ㸪᫓Ꮫᮇ࡟ࡘ࠸࡚ࡣࡍ࡭࡚ࡢ⛉┠ࡀ㐲㝸ᤵᴗ࡜ࡋ࡚
㛤ㅮࡉࢀ㸪⛅Ꮫᮇࡶ࡯࡜ࢇ࡝ࡢ⛉┠ࡀ㐲㝸ᤵᴗ࡜ࡋ࡚ᒎ㛤ࡉࢀࡓ㸬♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮㸦CSI㸧࡛ࡣ㸪2010 ᖺࡢ㛤タᙜึࡼࡾ඲Ꮫ㒊ࡢᏛ⏕ྥࡅࡢ♫఍ㄪᰝࡸ⤫ィᏛࡢ⛉┠ࢆ࢜ࣥࢹ࣐ࣥࢻᤵᴗ࡜ࡋ࡚ᥦ౪ࡋ࡚ࡁࡓᐇ⦼ࡶ࠶ࡾ㸪ᚑ᮶࠿ࡽᥦ౪ࡋ࡚ࡁࡓ⛉┠࡟ࡘ࠸࡚ࡣ㸪ᑐ㠃࡛ࡢࢫࢡ࣮ࣜࣥࢢࡀᐇ᪋࡛ࡁ࡞࠿ࡗࡓࡇ࡜ࢆ㝖ࡅࡤ㸪ࡇࢀࡲ࡛࡜࡯ࡰྠᵝࡢᩍ⫱ࡢᥦ౪ࡀ࡛ࡁࡓ㸬⤫ィᩍ⫱࡟࠾࠸࡚ࡣ㸪ࡑࡢᇶ♏࡜࡞ࡿᩘᏛࡸ᝟ሗ⛉Ꮫ࡟㛵ࡍࡿᏛ⩦ᒚṔࡢࡤࡽࡘࡁ࡟ᑐᛂࡍࡿࡇ࡜࠿ࡽࡶ㸪e-learning ࢆྵࡴ࢜ࣥࢹ࣐ࣥࢻ࡛ࡢᩍ⫱ࡢ฼Ⅼࡀᣦ᦬ࡉࢀ࡚ࡁ
ࡓ㸦Ώ㎶࡯࠿, 2000㸧㸬ࢹ࣮ࢱศᯒࡢࢫ࢟ࣝࡢ⩦ᚓ࡟࠾࠸࡚ࡣ㸪Ꮫ⩦⪅ࡀྛ⮬ࡢ࣮࣌ࢫ࡟ྜࢃࡏ࡚㸪⧞ࡾ㏉ࡋど⫈ࡋ☜ㄆࡋ࡞ࡀࡽᏛࡧࢆ㐍ࡵࡿࡇ࡜ࡀ࡛ࡁࡿⅬࡀ㸪኱ࡁ࡞࣓ࣜࢵࢺ࡜࠸࠼ࡿ㸬୍⯡࡟㸪ேᩥ♫఍⛉Ꮫ⣔Ꮫ㒊࡛ࡢ⤫ィᏛࡢᇶ♏ࡢࢡࣛࢫࡣ㸪ࢡࣛࢫࢧ࢖ࢬࡀ኱ࡁࡃ࡞ࡿࡇ࡜ࡀከࡃ㸪ࡲࡓᏛ⩦⪅ࡢᩘᏛ➼ࡢᇶ♏ຊࡢࡤࡽࡘࡁࡣ኱ࡁࡃ࡞ࡿ㸬ࡲࡓ㸪Excel ࡸ⤫ィศᯒᑓ㛛ࡢࢯࣇࢺ࢙࢘࢔ࡢ SPSS ࡸ R ࢆ⏝࠸ࡿࡼ࠺࡞ࣃࢯࢥࣥ₇⩦ࢆྲྀࡾධࢀࡓ㝿࡟ࡣ㸪ࣃࢯࢥࣥ᧯సࡢ⩦⇍ᗘ࡟ຍ࠼㸪౑⏝ࡍࡿࢯࣇࢺ࢙࢘࢔ࡢ⩦⇍ᗘ࡟ࡶ኱ࡁ࡞ࡦࡽࡁࡀ࠶ࡿࡇ࡜ࡀከ࠸㸬୍᪉㸪⤫ィⓗᛮ⪃ຊࡢ⫱ᡂࢆ┠ⓗ࡜ࡍࡿᏛ⩦࡟࠾࠸࡚ࡣ㸪⤫ィ࡞࡝ࡢ࢚ࣅࢹࣥࢫࢆ⏝࠸ࡓࢥ࣑ࣗࢽࢣ࣮
ࢩࣙࣥࡢᶵ఍ࡢᥦ౪ࡀ㔜せ࡟࡞ࡿࡀ㸪࢜ࣥࢹ࣐ࣥࢻᙧᘧ࡛ࡣ㸪ࡇࡢࡼ࠺࡞ᶵ఍ࢆᥦ౪ࡍࡿࡇ

(4) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ࡜ࡀ㞴ࡋࡃ࡞ࡿ㸬࡞࠾㸪㐲㝸ᤵᴗᙧᘧ࡛ࡶ㸪Zoom ࡞࡝ࢆά⏝ࡋࡓࣜ࢔ࣝࢱ࢖࣒࡛㞟ྜࡋ࡚ࡢᤵᴗ࡛ࡣ㸪ᑐ㠃ᤵᴗ௨ୖ࡟ᐦ࡞ࢢ࣮ࣝࣉࢹ࢕ࢫ࢝ࢵࢩࣙࣥࡀྍ⬟࡜࡞ࡿ㸬ࢥࣟࢼ⚝࡛ࡢ㐲㝸ᤵᴗࡢ㝿࡟⏝࠸ࡽࢀࡿࡼ࠺࡟࡞ࡗࡓ Zoom ࡞࡝ࡢ㐲㝸ᤵᴗࢶ࣮ࣝ࡟ࡣ㸪ᑡேᩘ࡛ࡢࢢࣝ
࣮ࣉ࣮࣡ࢡࢆ⾜࠺ࡓࡵࡢᶵ⬟ࡀഛ࠼ࡽࢀ࡚࠸ࡿࡶࡢࡀ࡯࡜ࢇ࡝࡛࠶ࡿ㸬Zoom ࡟࠾ࡅࡿࣈࣞ
࣮ࢡ࢔࢘ࢺࢭࢵࢩࣙࣥᶵ⬟ࡀࡑࡢ௦⾲ⓗ࡞ࡶࡢ࡛࠶ࡿ㸬ẚ㍑ⓗࢡࣛࢫࢧ࢖ࢬࡢ኱ࡁ࡞ᤵᴗ
࡟࠾࠸࡚㸪ᑡேᩘࡢࢢ࣮ࣝࣉ࡟ศ࠿ࢀ࡚ࡢࢹ࢕ࢫ࢝ࢵࢩࣙࣥࢆᑐ㠃ᤵᴗ࡛⾜࠺ࡓࡵ࡟ࡣ㸪ᮘࡸ᳔Ꮚࡀྍືᘧ࡛࠶ࡿࡇ࡜ࡀồࡵࡽࢀࡿ࡞࡝ࡢไ㝈ࡀຍࢃࡿࡇ࡜ࡀ࠶ࡿࡀ㸪㐲㝸ᤵᴗ࡟࠾࠸࡚ࡣࡑࡢⅬࡢไ⣙ࡀ࡞࠸㸬 ㅮ⩏ࡢෆᐜࡸ┠ⓗ࡟࠾࠸࡚ࡣ㸪ᑐ㠃ᤵᴗ࡛࠶ࡿࡇ࡜ࡀ㔜せどࡉࢀࡿࡀ㸪ୖグࡢࡼ࠺࡞ほⅬ࡛⪃࠼ࡿ࡜㸪⤫ィᏛࡸࢹ࣮ࢱࢧ࢖࢚ࣥࢫᩍ⫱࡟࠾࠸࡚ࡣ㸪ᚲࡎࡋࡶᑐ㠃ᤵᴗ࡛࡞ࡅࢀࡤ࡞ࡽ
࡞࠸࡜࠸࠺ไ⣙ࡣ࡞࠸࡜࠸࠼ࡿ㸬ࡑࡇ࡛㸪௒ᅇࡢሗ࿌࡛ࡣ㸪ࢥࣟࢼ⚝࡟࠾ࡅࡿ᪂ࡓ࡞㐲㝸ᤵᴗࡢᐇ㊶౛ࢆྲྀࡾୖࡆ㸪ࡑࡢຠᯝࢆ☜ㄆࡍࡿ࡜࡜ࡶ࡟㸪௒ᚋࡢᨵၿ࡟ྥࡅࡓㄢ㢟ࢆ᫂ࡽ࠿࡟ࡍࡿ㸬ϩ ࢜ࣥࢹ࣐ࣥࢻᙧᘧࡢᩍ⫱ᐇ㊶ ᮏ❶࡛ࡣ㸪❧ᩍ኱Ꮫ኱Ꮫ㝔⛉┠ࡢ୍ࡘ࡛࠶ࡿࠕ⤫ィᏛ 1ࠖ㸦2020 ᖺᗘ⛅Ꮫᮇ 1 㛤ㅮ⛉┠㸧ࡢཷㅮ⏕࡟ᑐࡋ࡚⾜ࡗࡓ㐲㝸ᤵᴗᐇ㊶ࡢ஦౛ࢆ⤂௓ࡍࡿ. ཷㅮ⏕ࡣ♫఍ே኱Ꮫ㝔⏕ࡀ୺࡛࠶ࡾ㸪ᤵᴗࡢᐇ᪋ᙧᘧࡣ㸪ྛཷㅮ⏕ࡀ㒔ྜࡢࡼ࠸᫬㛫࡟ື⏬ࢆど⫈࡛ࡁࡿ㸪࠸ࢃࡺࡿ࢜ࣥࢹ
࣐ࣥࢻᙧᘧ࡛⾜ࡗࡓ. ື⏬ど⫈ࢆ฼⏝ࡋࡓ኱Ꮫࡢᤵᴗ࡟ࡣᵝࠎ࡞᪉ἲࡀ࠶ࡾ㸪౛࠼ࡤ⮬Ꮿ➼࡛ື⏬ࢆど⫈ࡋ࡚࠿ࡽᑐ㠃ᤵᴗ࡛ࡣࢢ࣮ࣝࣉ࣮࣡ࢡ㸪ᛂ⏝ၥ㢟ࡸ₇⩦➼ࢆ⾜࠺཯㌿ᤵᴗ㸦ⰼᮌ࡯࠿, 2015㸧ࡸ MOOC ࡢ฼⏝㸦ᒾୗ࡯࠿, 2015㸧➼ࡀ࠶ࡿࡀ㸪ࠕ⤫ィᏛ 1࡛ࠖࡣ㸪ື⏬ࡢど⫈ᚋ࡟୍ᐃᮇ㛫ࢆタࡅ࡚㑅ᢥᅇ⟅ᘧࡢၥ㢟࠿ࡽ࡞ࡿㄢ㢟ࢆᥦฟࡋ࡚ࡶࡽ࠺᪉ἲࢆ࡜ࡗࡓ.
ᙜヱ⛉┠ࡣ⤫ィᏛࡢᇶ♏ࢆ⤫ィฎ⌮ࢯࣇࢺࡢ฼⏝࡜࡜ࡶ࡟⩦ᚓ࡛ࡁࡿࡼ࠺࡞ෆᐜ࡜࡞ࡗ࡚
࠸ࡿ. ➹⪅ࡣࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࡟㛵ࡍࡿᩍᮦࢆᑗ᮶ⓗ࡟㛤Ⓨࡍࡿࡇ࡜ࢆᛕ㢌࡟࠾࠸࡚࠾ࡾ㸪࡝ࡢࡼ࠺࡞⤫ィᩍ⫱ἲࡀࡑࢀ࡟ά⏝࡛ࡁࡿࡢ࠿࡟㛵ᚰࡀ࠶ࡿࡓࡵ㸪2020 ᖺ 4 ᭶࡟Ⓨ⾲ࡉࢀࡓᩘ⌮࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࣭AI㸦ࣜࢸࣛࢩ࣮ࣞ࣋ࣝ㸧ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛࡢ୰ࡢ͆ᇶ♏͇࡟࠶ࡓࡿࢹ࣮ࢱࣜࢸࣛࢩ࣮ࡢᏛಟ┠ᶆ࡟㛵ࡍࡿ㡯┠ࢆྵࡴᤵᴗ࢔ࣥࢣ࣮ࢺࢆᐇ᪋ࡋࡓ㸬ᮏ❶࡛ࡣ㸪ᙜヱ⛉┠ࢆ㏻ࡌ࡚ᚓࡓ㸪࢜ࣥࢹ࣐ࣥࢻᙧᘧ࡛ࡢ⤫ィ⛉┠ࡢᤵᴗ㐠Ⴀ࡟㛵ࡍࡿ▱ぢ➼ࢆ⤂௓ࡍࡿ࡜࡜ࡶ࡟㸪ཷㅮ⏕࡟ᑐࡋ࡚⾜ࡗࡓ࢔ࣥࢣ࣮ࢺࡢ⤖ᯝ࡟ࡘ࠸࡚ࡶ⪃ᐹࡍࡿ.
1㸬ࠕ⤫ィᏛ 1ࠖ࡟ࡘ࠸࡚
 2012 ᖺ௨㝆࡟㧗ᰯᩘᏛϨ࡛ࠕࢹ࣮ࢱࡢศᯒࠖࡀᚲᒚಟ໬ࡉࢀࡿ࡞࡝㸪ึ➼୰➼ᩍ⫱࡟࠾࠸࡚⤫ィ࡟㛵ࡍࡿෆᐜࡢ඘ᐇ໬ࡀ⾜ࢃࢀࡓࡀ㸪ᙜヱ⛉┠ࡢཷㅮ⏕ࡣ㸪ࡑࢀࡽࡢ⤫ィᩍ⫱ࢆཷࡅ࡚ࡣ࠸࡞࠸࡜⪃࠼ࡽࢀࡿ♫఍ேࡀ୺࡛࠶ࡿ. ⤫ィᏛ࡟㛵ࡍࡿᇶ♏ⓗ࡞ෆᐜ࠾ࡼࡧグ㏙⤫ィࡢᇶ♏ࢆᅛࡵ㸪⤫ィⓗ᥎ᐃ᳨࣭ᐃ࡞࡝ࡢ᥎ ⤫ィࡢᇶ♏࠾ࡼࡧ SPSS ࡸ EXCEL ➼ࢆ⏝࠸ࡓࢹ࣮ࢱศᯒࢫ࢟ࣝࢆ㌟࡟ࡘࡅࡿࡇ࡜ࢆᤵᴗ┠ᶆ࡜ࡋ࡚࠸ࡿ. 㐲㝸ᤵᴗࡢᐇ᪋ᙧᘧࡣ㸪ྛཷㅮ⏕ࡀ㒔ྜࡢࡼ࠸᫬㛫࡟ື⏬ࢆど⫈࡛ࡁࡿ㸪࠸ࢃࡺࡿ࢜ࣥࢹ࣐ࣥࢻᙧᘧ࡛⾜ࡗࡓࡀ㸪᫬㛫๭ࡢୖ࡛ࡣ㐌࡟ 2 ࢥ࣐㸦1 ࢥ࣐ 100 ศࢆ⥆ࡅ࡚ 2 ࢥ࣐㸧ࡀ๭ࡾᙜ࡚ࡽࢀ࡚࠾ࡾ㸪ࡇࡢ᫬㛫㹙◊✲ࣀ࣮ࢺ㹛ࢥࣟࢼ⚝࡟࠾ࡅࡿ⤫ィᩍ⫱ (5)ࡢ㛤ጞ࡟ྜࢃࡏ࡚ Google Drive ࡛ඹ᭷ࡍࡿື⏬ࡢ URL ࡜ㄢ㢟ࢆ LMS㸦Blackboard㸧ୖ࡛බ㛤ࡋࡓ. LMS ࢆ㏻ࡌ࡚ཷㅮ⏕࡟ྛ✀ࡢ᱌ෆࢆ⾜࠸㸪㉁ၥࡸᏛ⏕㛫ࡢ஺ὶࡢᶵ఍ࡢ☜ಖ➼ࡣ LMS ࡢᥖ♧ᯈࡸ኱Ꮫࡢ࣓࣮ࣝࢆ฼⏝ࡋࡓ. ࢥࣟࢼ⚝࡟࠾࠸࡚኱Ꮫ࡟ධᰯ࡛ࡁ࡞࠸ࡇ࡜࡛㸪ཷㅮ⏕ࡀ SPSS ࢆ฼⏝࡛ࡁ࡞ࡃ࡞ࡿࡇ࡜ࡀᠱᛕࡉࢀࡓࡀ㸪Ꮫእ࠿ࡽ VPN ᥋⥆ࢆ⏝࠸࡚฼⏝࡛ࡁࡿᑐᛂࡀ࡜ࡽࢀࡓ. ᙜヱ⛉┠࡛ᢅࡗࡓ୺࡞ෆᐜࡣ㸪♫఍࡟࠾ࡅࡿ⤫ィ㸦➨ 1 㐌㸧
㸪グ㏙⤫ィ࡜᥎ ⤫ィࡢᴫせ㸦➨ 2 㐌㸧㸪1 ኚᩘࢹ࣮ࢱࡢせ⣙㸦➨ 3 㐌㸧
㸪2 ኚᩘࢹ࣮ࢱࡢせ⣙㸦➨
4 㐌㸧㸪᥎ᐃ㸦➨ 5 㐌㸧㸪᳨ᐃࡢ⪃࠼᪉㸦➨ 6 㐌㸧㸪ᖹᆒ್ࡢᕪࡢ᳨ᐃ㸦➨ 7 㐌㸧࡛࠶ࡿ. ➨2 㐌࡟ࡣ㸪CSI ࡛㐣ཤ࡟సᡂࡋࡓࠕSPSS ⤫ィゎᯒ㸦Basic ࢥ࣮ࢫ㸧ࠖ࡜࠸࠺ SPSS ࡢᇶᮏ᧯సࢆゎㄝࡍࡿ࢜ࣥࢹ࣐ࣥࢻᩍᮦࢆ᱌ෆࡋࡓ㸬GAISE ࣏࣮ࣞࢺ㸦GAISE㸪2005㸧࡛ࡶ᥎ዡࡉ
ࢀ࡚࠸ࡿࡼ࠺࡟㸪ࣜ࢔ࣝࢹ࣮ࢱࢆ⏝࠸ࡿࡇ࡜ࢆ㔜どࡋ㸪ᙜヱ⛉┠࡛ࡣ㸪e-Stat ࡸ RESAS ࡢ฼⏝࠾ࡼࡧᮾி኱Ꮫࡢ SSJDA ࠿ࡽ JGSS-2010 ࡜࠸࠺♫఍ㄪᰝࢹ࣮ࢱࡢᥦ౪ࢆཷࡅࡿ࡞࡝
ࡋ࡚㸪ࣜ࢔ࣝࢹ࣮ࢱࢆศᯒࡢ₇⩦➼࡟฼⏝ࡋࡓ㸦JGSS2010㸧. ྛ㐌ᚲࡎㄢ㢟㸦༢୍㑅ᢥᅇ⟅ᙧᘧࡢၥ㢟㸧ࢆㄢࡋ㸪ᤵᴗື⏬බ㛤᪥࠿ࡽ 4 ᪥㛫⛬ᗘࡢᥦฟᮇ㛫ࢆタࡅ㸪≉࡟ 3 㐌┠௨㝆ࡣ JGSS-2010 ࢹ࣮ࢱࢆ SPSS ࢆ⏝࠸࡚ศᯒࡍࡿㄢ㢟ࢆฟ㢟ࡋࡓ. ࡇࢀࡣ㸪➹⪅ࡀ㐣ཤ࡟᪤࡟❧ᩍ኱Ꮫ࡛㛤ㅮࡉࢀ࡚࠸ࡓ࢜ࣥࢹ࣐ࣥࢻ⛉┠ࢆ」ᩘᢸᙜࡋ㸪ື⏬ࢆఱ᫬࡛ࡶど⫈࡛ࡁ㸪ㄢ㢟ࡢᥦฟᮇ㝈ࢆ㛗ࡃࡋࡍࡂࡿ࡜㸪ど⫈ࡍ࡭ࡁື⏬ࢆࡓࡵ㎸ࡴཷㅮ⏕ࡀ୍ᐃࡢ๭ྜ࡛Ꮡᅾ
ࡍࡿ࡜࠸࠺⤒㦂࠿ࡽࡑ࠺ࡋ࡚࠸ࡿ.
2㸬ᩘ⌮࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࣭AI㸦ࣜࢸࣛࢩ࣮ࣞ࣋ࣝ㸧ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛ ࡇࡇ࡛ࡣ㸪ᚋ㏙ࡍࡿ࢔ࣥࢣ࣮ࢺ࡟࠾ࡅࡿࢹ࣮ࢱࣜࢸࣛࢩ࣮࡟㛵ࡍࡿ㡯┠సᡂࡢࡓࡵ࡟ཧ
⪃࡟ࡋࡓᩘ⌮࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࣭AI㸦ࣜࢸࣛࢩ࣮ࣞ࣋ࣝ㸧ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛࢆ⤂௓ࡍࡿ.
⤫ྜ࢖ࣀ࣮࣋ࢩࣙࣥᡓ␎᥎㐍఍㆟࡟ࡼࡿ AI ᡓ␎ 2019 ࡟࠾࠸࡚㸪AI ᫬௦࡟ᑐᛂࡋࡓேᮦࡢ
⫱ᡂ࣭☜ಖࡣ㸪ึ➼୰➼㧗➼ᩍ⫱ࡔࡅ࡟㝈ࡽࡎࣜ࢝ࣞࣥࢺᩍ⫱ࡸ⏕ᾭᏛ⩦ࢆࡶྵࡵࡓ㛗ᮇⓗㄢ㢟࡜ࡉࢀ㸪≉࡟ࠕᩘ⌮࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࣭AIࠖࡢ▱㆑࣭ᢏ⬟࡜ேᩥ♫఍ⱁ⾡⣔ࡢᩍ㣴ࢆࡶ࡜࡟㸪᪂ࡋ࠸♫఍ࡢᅾࡾ᪉ࡸࢧ࣮ࣅࢫ➼ࢆࢹࢨ࢖ࣥࡍࡿ⬟ຊࡀ㔜せ࡛࠶ࡾ㸪ࡇࢀࡲ࡛ࡢᩍ
⫱᪉ἲࡢᢤᮏⓗ࡞ᨵၿ࠾ࡼࡧᐇ♫఍ࡢㄢ㢟ゎỴⓗ࡞Ꮫ⩦ࢆᩍ⛉ᶓ᩿ⓗ࡟⾜࠺ࡇ࡜ࡀ୙ྍḞ࡜ࡉࢀ࡚࠸ࡿ㸦AI ᡓ␎ 2019㸧. ࡉࡽ࡟㸪2025 ᖺ࡟ᐇ⌧ࡍࡿࡇ࡜ࢆᛕ㢌࡟ࡋࡓᩍ⫱┠ᶆࡢ୰࡟ࡣ㸪ࠕᩥ⌮ࢆၥࢃࡎ㸪඲࡚ࡢ኱Ꮫ࣭㧗ᑓ⏕㸦⣙ 50 ୓ே༞/ᖺ㸧ࡀ㸪ㄢ⛬࡟࡚ึ⣭ࣞ࣋ࣝࡢᩘ⌮࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࣭AI ࢆ⩦ᚓࠖ࡜ࡢグ㏙ࡀ࠶ࡾ㸪ࡑࡢᩍᮦ࠾ࡼࡧᩍ⫱᪉ἲࡢ㛤Ⓨࡣႚ⥭ࡢㄢ㢟࡜࠸࠼ࡿ࡛࠶ࢁ࠺. ᩘ⌮࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫᩍ⫱ᙉ໬ᣐⅬࢥࣥࢯ࣮ࢩ࢔࣒ࡣ㸪ࡇࡢ AI ᡓ␎ 2019 ࡢᥦゝ➼ࢆ㋃ࡲ࠼㸪ศ㔝ࢆၥࢃࡎ㸪඲࡚ࡢ኱Ꮫ࣭㧗ᑓ⏕㸦⣙ 50 ୓ே༞/ᖺ㸧ࢆᑐ㇟࡟ࡋࡓࣜࢸࣛࢩ࣮ࣞ࣋ࣝࡢᩍ⫱ࡢᇶᮏⓗ⪃࠼᪉㸪Ꮫಟ┠ᶆ࣭ࢫ࢟ࣝࢭࢵࢺ㸪ᩍ⫱᪉ἲࢆࡲ࡜ࡵࡓࠕᩘ⌮࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࣭AI㸦ࣜࢸࣛࢩ࣮ࣞ࣋ࣝ㸧ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛࠖ
㸦௨ୗ㸪ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛ࡜␎グ㸧ࢆ 2020 ᖺ 4 ᭶࡟Ⓨ⾲ࡋࡓ㸦ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛ, 2020㸧.
ࡇࡢࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛࡣ͆ᑟධ͇
㸪
͆ᇶ♏͇
㸪
͆ᚰᚓ͇
㸪
͆㑅ᢥ͇࠿ࡽ࡞ࡾ㸪ࡇࢀࡽࡢᴫせࢆ㏙࡭ࡿ࡜㸪͆ᑟධ͇ࡣࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࡟㛵ࡍࡿ♫఍ࡢኚ໬ࡸࢹ࣮ࢱ࣭AI ࡢά⏝㡿ᇦ࣭ᢏ⾡ࢆ▱ࡿࡇ࡜㸪͆ᇶ♏͇ࡣࢹ࣮ࢱࢆㄞࡴ࣭ㄝ᫂ࡍࡿ࣭ᢅ࠺࡜࠸࠺ࡼ࠺࡞ࢹ࣮ࢱࣜࢸࣛࢩ࣮࡟㛵ࡍࡿࡇ࡜㸪͆ᚰᚓ͇ࡣࢹ࣮ࢱ࣭AI ฼ά⏝࡟࠾ࡅࡿ೔⌮ࡸࣜࢫࢡ࡟㛵ࡍࡿࡇ࡜㸪ࡑࡋ࡚࢔ࣝࢦࣜ
ࢬ࣒ᇶ♏ࡸ⏬ീゎᯒ㸪ࣉࣟࢢ࣑ࣛࣥࢢᇶ♏࡞࡝ከᵝ࡞㡯┠࠿ࡽ㑅ࡪࡇ࡜ࡀ࡛ࡁࡿࡢࡀ͆㑅ᢥ͇࡜࡞ࡗ࡚࠸ࡿ㸬ࡇࢀࡽࢆྛ኱Ꮫ࣭㧗ᑓࡢ≧ἣ࡟ᛂࡌ࡚㐺ษ࡟㑅ᢥ࣭ᢳฟ࡛ࡁࡿࡼ࠺࡟ᰂ㌾ᛶ

(6) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕࡀ࠶ࡿ࣒࢝ࣜ࢟ࣗࣛ࡟࡞ࡗ࡚࠸ࡿ. ࡇࡇ࡛ࡣ͆ᇶ♏͇࡟࠶ࡓࡿࢹ࣮ࢱࣜࢸࣛࢩ࣮ࢆ࡜ࡾ࠶ࡆ
ࡿࡇ࡜࡟ࡋ㸪 ᅗ⾲ 1 ࡟ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛ࡜ࢹ࣮ࢱࣜࢸࣛࢩ࣮㸺ࢫ࢟ࣝࢭࢵࢺ㸼ࢆ♧ࡍ. 

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ᅗ⾲ 1㸸ᩘ⌮࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࣭AI㸦ࣜࢸࣛࢩ࣮ࣞ࣋ࣝ㸧ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛ㸦ୖ㸧࡜ࢹ࣮ࢱࣜࢸࣛࢩ࣮㸺ࢫ࢟ࣝࢭࢵࢺ㸼㸦ୗ㸧

3㸬ཷㅮ⏕࡟ᑐࡋ࡚⾜ࡗࡓ࢔ࣥࢣ࣮ࢺࡢෆᐜ࡜⤖ᯝ࠾ࡼࡧ⪃ᐹ ࠕ⤫ィᏛ 1ࠖࡢཷㅮ⏕ 63 ྡ࡟ᑐࡋ㸪➨ 1 㐌┠ࡢᤵᴗࡢ┤๓࡟㸪ึᅇࡢᤵᴗ᫬࡟࠾࠸࡚㸪ࡲࡎ஦๓࢔ࣥࢣ࣮ࢺ㸦pre㸧࡟ᅇ⟅ࡍࡿࡇ࡜ࢆồࡵࡿ᱌ෆࢆ LMS ࢆ㏻ࡌ࡚⾜ࡗࡓ. ࡲࡓ㸪஦ᚋ࢔ࣥࢣ࣮ࢺ㸦post㸧ࡣ඲࡚ࡢ㐌ࡢᤵᴗࡀ⤊஢ࡋࡓᚋ࡟ LMS ࢆ㏻ࡌ࡚ᅇ⟅ࢆ౫㢗ࡋࡓ.
LMS ୖ࡛㸪஦๓࢔ࣥࢣ࣮ࢺ࡟࠾࠸࡚㸪࢔ࣥࢣ࣮ࢺࡢ⤖ᯝࢆಶேࡀ≉ᐃࡉࢀ࡞࠸ᙧ࡛බ⾲ࡍࡿࡇ࡜࡟ྠពࡍࡿᅇ⟅ḍࢆタࡅ㸪࢔ࣥࢣ࣮ࢺࡢᅇ⟅ෆᐜ࣭ᮍᅇ⟅➼࡛୙฼┈ࢆ⿕ࡽ࡞࠸ࡇ࡜㸪࠾ࡼࡧྠពࡣ᧔ᅇ࡛ࡁࡿࡇ࡜ࢆఏ࠼㸪ᤵᴗ⤊஢ᚋ࡟୍ᐃࡢᮇ㛫ࢆタࡅ㸪ྠព᧔ᅇࡢᶵ఍ࢆ☜ಖࡋࡓ㸬ࡲࡎࡣ஦ᚋ࢔ࣥࢣ࣮ࢺ࡟࠾ࡅࡿ㸪ᤵᴗ‶㊊ᗘ࡜ᤵᴗື⏬ࡢศ࠿ࡾࡸࡍࡉ࡟㛵ࡍࡿ㉁ၥࡢᅇ⟅⤖ᯝࢆᅗ⾲ 2 ࡟♧ࡍ. 㹙◊✲ࣀ࣮ࢺ㹛ࢥࣟࢼ⚝࡟࠾ࡅࡿ⤫ィᩍ⫱ (7)ᅗ⾲ 2㸸ᤵᴗ‶㊊ᗘ㸦ᕥ㸪N=56㸧࡜㸪ᤵᴗື⏬ࡢศ࠿ࡾࡸࡍࡉ㸦ྑ㸪N=55㸧࢔ࣥࢣ࣮ࢺ࡛ࡣ㸪Ꮫ⩦ෆᐜ࡟㛵ࡋ࡚Ⰻ࠿ࡗࡓⅬ࡜ᨵၿࡀᚲせࡔ࡜ᛮ࠺Ⅼࢆ⮬⏤グ㏙ࡢᅇ⟅ᙧᘧ࡛ࡑࢀࡒࢀ㉁ၥࡋࡓ࡜ࡇࢁ㸪Ⰻ࠿ࡗࡓⅬࡣࠕe-Stat ࡸ RESAS ࢆά⏝ࡋ࡚᝟ሗࢆ཰
㞟࣭ศᯒࡍࡿ᪉ἲࡶᏛ࡭ࡓࠖ
㸪
ࠕㄽᩥࢆ㍯ㄞࡍࡿ㝿㸪ศᯒࡢ⤖ᯝࡀᥦ♧ࡉࢀࡓ᫬㸪⤖ᯝࢆ⌮ゎࡍࡿࡇ࡜ࡀ࡛ࡁ㸪ㄽᩥࡢෆᐜࢆ㐺ษ࡟⌮ゎࡍࡿࡇ࡜ࡀ࡛ࡁࡲࡋࡓࠖ࡜࠸࠺グ㏙࡞࡝ࡀ࠶ࡾ㸪ࢹ࣮ࢱࢆṇࡋࡃㄞࢇ࡛ά⏝ࡍࡿຊࡢྥୖࡀఛ࠼ࡓ. ᨵၿࡀᚲせࡔ࡜ᛮ࠺Ⅼ࡛ࡣࠕᐇົ࡟㛵ಀࡋࡑ࠺࡞ᛂ⏝౛ࢆࡶࡗ࡜▱ࡾࡓ࠸ࠖ࡜࠸࠺ࡼ࠺࡞ᤵᴗෆᐜࡀཷㅮ๓࡟᝿ᐃࡋ࡚࠸ࡓෆᐜ࡜
␗࡞ࡗ࡚࠸ࡓ࡜࠸࠺グ㏙ࡀ 2 ௳࠶ࡗࡓ㸬࡯࡜ࢇ࡝ࡢື⏬࡛ࡣࢼ࣮ࣞࢩࣙࣥཎ✏ࢆ⏝ពࡋ㸪
PowerPoint ࡢ⏬㠃㘓⏬ᶵ⬟ࢆ฼⏝ࡋ࡚ PC ࡛సᡂࡋࡓື⏬ࢆཷㅮ⏕࡟ど⫈ࡋ࡚ࡶࡽࡗࡓ
㸦ᅗ⾲ 3㸧. EXCEL ࡸ SPSS ࡢ₇⩦ࡶྠᵝࡢ᪉ἲ࡛ື⏬࡟ࡋ㸪ྍ⬟࡞㝈ࡾᤵᴗື⏬ࡢ㉁ࢆ
㧗ࡵࡿࡼ࠺ດࡵࡓ.
ᅗ⾲ 3㸸ᤵᴗື⏬ࡢ୍㒊㸦ㅮ⩏㸦ᕥ㸧࡜ e-Stat ࢆ฼⏝ࡋࡓ₇⩦㸦ྑ㸧㸧ḟ࡟㸪ཷㅮ๓ᚋ࡟࠾ࡅࡿࢹ࣮ࢱࣜࢸࣛࢩ࣮ࡢኚ໬ࢆぢࡿࡓࡵ㸪ᅗ⾲ 4 ࡢᵝ࡟ࣔࢹࣝ࢝ࣜ࢟
࣒ࣗࣛࡢࢹ࣮ࢱࣜࢸࣛࢩ࣮࡟࠾ࡅࡿྛᏛಟ┠ᶆ࡟ᑐࡋ࡚㉁ၥᩥࢆసᡂࡋ㸪5 ௳ἲ࡛㉁ၥࡋࡓ
㸦1:࠶࡚ࡣࡲࡽ࡞࠸㸪2:࠶ࡲࡾ࠶࡚ࡣࡲࡽ࡞࠸㸪3:࡝ࡕࡽ࡜ࡶ࠸࠼࡞࠸㸪4:ࡸࡸ࠶࡚ࡣࡲࡿ㸪
5:࠶࡚ࡣࡲࡿ㸧. ࡇࡇ࡛ࡣ㸪ࡇࡢ 8 㡯┠඲࡚࡟ᅇ⟅ࡋࡓ 51 ྡ࡟ᑐࡋ㸪ࡇࡢ㉁ၥ࡛ᚓࡓኚᩘࢆ
㔞ⓗኚᩘ࡜ࡳ࡞ࡋ࡚ᑐᛂࡢ࠶ࡿ t ᳨ᐃ࠾ࡼࡧ᥎ᐃࡢ⤖ᯝࢆᅗ⾲ 5 ࡟㸪ᅇ⟅ศᕸࢆᅗ⾲ 6 ࡟♧ࡋࡓ㸬࡝ࡢ㡯┠ࡶᴫࡡཷㅮᚋ࡟Ⰻࡃ࡞ࡗ࡚࠸ࡿ. ஦ᚋ࢔ࣥࢣ࣮ࢺࡢ᪉ࡢᅇ⟅ศᕸࢆぢࡿ࡜㸪͆࠶࡚ࡣࡲࡿ͇ࡢᅇ⟅⪅ࡢ๭ྜ࡟ࡣࡲࡔఙࡧ௦ࡀ༑ศ࠶ࡿ. ௒ᅇࡣ 4 ᭶࡟Ⓨ⾲ࡉࢀࡓ࢝ࣜ࢟
࣒ࣗࣛࡢࢹ࣮ࢱࣜࢸࣛࢩ࣮࡟㛵ࡍࡿᏛಟ┠ᶆࢆ࡯࡜ࢇ࡝ࡑࡢࡲࡲࡢᙧᘧ࡛㉁ၥᩥ࡟ኚ࠼࡚ヨ⾜ⓗ࡟⏝࠸ࡓࡢ࡛㸪͆࠶࡚ࡣࡲࡿ͇࡜⮬ಙࢆᣢࡗ࡚ᅇ⟅ࡋ㞴࠸㉁ၥ࡛࠶ࡗࡓ࠿ࡶࡋࢀ࡞࠸ࡇ࡜

(8) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕࡶ࠶ࡾ㸪ᑗ᮶ⓗ࡟ࡣ࣮ࣝࣈࣜࢵࢡࡢసᡂ➼ࢆ᳨ウࡍࡿᚲせࡀ࠶ࡿ࡜ᛮࢃࢀࡿ. ࡲࡓ㸪Q5 ࡀẚ㍑ⓗ࡟஦ᚋ࡟༑ศ࡟ୖ᪉࡟ࢩࣇࢺࡏࡎ㸪post ࡟࠾࠸࡚᭱ࡶᖹᆒ್ࡀపࡃ㸪ᅇ⟅ศᕸࡢࡤࡽࡘ
ࡁࡀ኱ࡁ࠿ࡗࡓ. ࡇࢀࡣ㸪ྍど໬ࢆ⾜࠺ࡲ࡛ࡣᤵᴗࡸ₇⩦㸪ㄢ㢟➼࡛⾜ࡗࡓࡀ㸪௚⪅࡟ㄝ᫂ࡍࡿ࡜࠸࠺ᶵ఍ࡀᤵᴗෆ࡛ࡣ࡯ࡰ↓࠿ࡗࡓࡇ࡜ࡀせᅉ࠿ࡶࡋࢀ࡞࠸. ࢢ࣮ࣝࣉ࣮࣡ࢡ➼࡛ࢹ࣮ࢱࡢㄝ᫂ࢆ⾜࠸㸪ࡲࡓ㸪௚⪅ࡢពぢࢆ⪺ࡁ㆟ㄽࡍࡿࡇ࡜ࡣ㸪ࢹ࣮ࢱࢆከ㠃ⓗ࡟࡜ࡽ࠼ࡿ㈗㔜
࡞⤒㦂࡜࡞ࡿ࡛࠶ࢁ࠺ࡀ㸪ᑐ㠃ᙧᘧࡢᤵᴗ࡛ࡣᐜ᫆࡟⾜࠼ࡓࢢ࣮ࣝࣉ࣮࣡ࢡ➼ࡀࢥࣟࢼ⚝࡛ࡣ㞴ࡋࡃ࡞ࡗ࡚ࡋࡲࡗࡓ㸬ࢢ࣮ࣝࣉ࣮࣡ࢡ➼ࢆ㏻ࡌ࡚⮬㌟ࡢศᯒ⤖ᯝ➼ࢆ௚⪅࡟ఏ࠼ࡿᶵ఍
ࢆ࡝ࡢࡼ࠺࡞ᙧ࡛タࡅࡿ࠿ࢆ᳨ウࡍࡿᚲせࡀ࠶ࡿ࡜ᛮࢃࢀࡿ.
࣯໲ชϠυϩΩϨΫϣϧϞ͹ָर໪ඬʤυʖνϨτϧεʖʥ

4υʖν͹ಝ௅ΝಣΊմ͘ɼً͘ͱ͏Ζࣆে͹ഐ‫ܢ‬Ώқັ߻ υʖν͹ಝ௅ΝಣΊմ͘ɼً͘ͱ͏Ζࣆে͹ഐ‫ܢ‬Ώқັ߻͏͏ΝཀྵմͲ͘ΖΝཀྵմͲ͘Ζ

4υʖνΝಣΊմ͚৏Ͳɼχϟ΢ϱஎࣟ͗॑གྷͲ͍Ζ͞ͳΝཀྵմ͢ͱ͏Ζʤχϟ΢ϱஎࣟʁಝఈ͹྘Ү͹υʖνΝಣΊմ͚ υʖνΝಣΊմ͚৏Ͳɼχϟ΢ϱஎࣟ͗॑གྷͲ͍Ζ͞ͳΝཀྵ৖߻ɼͨ͹྘Үஎࣟ͹͞ͳɽྭ͓ͻɼ՝ࢢ‫ۂ‬ֆ͹υʖνΝಣմͤΖΊմ͏ͱ͏Ζ͵Δ՝ࢢ‫ۂ‬ֆ͹எࣟ͵ʹʥ
4υʖν͹൅ਫ਼‫ݳ‬৖Ν֮೟ͤΖ͞ͳ͹॑གྷ੓Νཀྵմ͢ͱ͏Ζ υʖν͹൅ਫ਼‫ݳ‬৖Ν֮೟ͤΖ͞ͳ͹॑གྷ੓ΝཀྵմͤΖ
4υʖν͹ർֳଲেΝਜ਼͚͢અఈ͢ɼ਼࣊Νർ΄Ζ͞ͳ͗Ͳ υʖν͹ർֳଲেΝਜ਼͚͢અఈ͢ɼ਼࣊Νർ΄Ζ͞ͳ͗Ͳ͘
͘Ζ

Ζ

4న઀͵ՆࢻԿघ๑Νમ୔͢ɼଠंͶυʖνΝઈ໎Ͳ͘Ζన઀͵ՆࢻԿघ๑Νમ୔͢ɼଠंͶυʖνΝઈ໎Ͳ͘Ζ

4෈న઀Ͷࡠ੔͠Ηͪήϧϓͳ਼࣊Ͷὅ͠Η͵͏෈న઀Ͷࡠ੔͠Ηͪήϧϓ਼࣊Ͷὅ͠Η͵͏

4ช‫ݛ‬Ώ‫ݳ‬েΝಣΊմ͘ɼͨΗΔ͹‫ܐؖ‬Ν෾ੵʀߡࡱ͢න‫ ݳ‬ช‫ݛ‬Ώ‫ݳ‬েΝಣΊմ͘ɼͨΗΔ͹‫ܐؖ‬Ν෾ੵʀߡࡱ͢න‫ͤݳ‬
ͤΖ͞ͳ͗Ͳ͘Ζ

Ζ͞ͳ͗Ͳ͘Ζ

4ΦέιϩΉͪͺηϕϪρχεʖφ౵Ν࢘ͮͱɼঘ‫و‬ໝυʖ ηϕϪρχεʖφ౵Ν࢘ͮͱɼঘ‫و‬ໝυʖνʤ਼ඨ݇ʛ਼એ
νʤ਼ඨ݇ʛ਼એ݇ϪϗϩʥΝॄ‫ܯ‬ʀՅ޽Ͳ͘Ζ݇ϪϗϩʥΝॄ‫ܯ‬ʀՅ޽Ͳ͘Ζᅗ⾲ 4㸸㉁ၥᩥ࡜ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛࡢࢹ࣮ࢱࣜࢸࣛࢩ࣮ࡢᏛಟ┠ᶆ࡜ࡢᑐᛂᅗ⾲ 5㸸ᑐᛂࡢ࠶ࡿ t ᳨ᐃ࠾ࡼࡧᕪࡢಙ㢗༊㛫㸦N=51㸧㹙◊✲ࣀ࣮ࢺ㹛ࢥࣟࢼ⚝࡟࠾ࡅࡿ⤫ィᩍ⫱ (9)ᅗ⾲ 6㸸Q1㹼Q8 ࡢ pre-post ࡢᅇ⟅ศᕸ㸦N=51㸧࢔ࣥࢣ࣮ࢺ࡛ࡣ㸪Ꮫ⩦ᙧែ࡟㛵ࡋ࡚Ⰻ࠿ࡗࡓⅬ࡜ᨵၿࡀᚲせࡔ࡜ᛮ࠺Ⅼࡶ⮬⏤グ㏙ࡢᅇ⟅ᙧᘧ࡛ࡑࢀࡒࢀ㉁ၥࡋࡓ㸬Ⰻ࠿ࡗࡓⅬ࡟ࡘ࠸࡚ࡣ㸪ࡇࡢ㉁ၥ࡟ᅇ⟅ࡋࡓ 51 ྡ୰ 31 ྡࡀఱᗘ࡛ࡶື⏬ࢆど⫈࡛ࡁࡿⅬ࡟ゐࢀ࡚࠾ࡾ㸪᫖ᖺᗘࡲ࡛ࡢ୍ᗘࡔࡅࡢཷㅮ࡜࠸࠺ᙧᘧ࡜ẚ࡭ࡓࡇࡢኚ໬ࡣᏛ⏕࡟኱ࡁ࡞࣓ࣜࢵࢺࢆࡶࡓࡽࡋࡓ࡜⪃࠼ࡽࢀࡿ. ࡇࢀࡣ࢜ࣥࢹ࣐ࣥࢻᙧ
ᘧࡔࡅࡢ࣓ࣜࢵࢺ࡛ࡣ࡞ࡃ㸪ࣜ࢔ࣝࢱ࢖࣒ࡢ㐲㝸ᤵᴗࢆ㘓⏬ࡋ࡚ཷㅮ⏕࡟බ㛤ࡍࡿ࡜࠸࠺
ࡼ࠺࡞ሙྜࡶྠᵝ࡛࠶ࢁ࠺. ࣜ࢔ࣝࢱ࢖࣒ࡢᤵᴗࡢ㘓⏬࡜࢜ࣥࢹ࣐ࣥࢻᙧᘧࡢࡼ࠺࡞஦๓
࡟సᡂࡍࡿື⏬࡜ࡢ኱ࡁ࡞㐪࠸ࡢ୍ࡘࡣ㸪࢜ࣥࢹ࣐ࣥࢻᙧᘧࡢ᪉࡛ࡣ㸪ゝ࠸ᛀࢀ㸪ゝ࠸㛫㐪࠸㸪᭩ࡁ㛫㐪࠸➼ࡢ࣑ࢫࢆᴟຊῶࡽࡍࡇ࡜ࡀྍ⬟࡛࠶ࡾ㸪ື⏬ࡢど⫈ࡢࡋࡸࡍࡉࡸศ࠿ࡾࡸ
ࡍࡉࡢྥୖࢆ஦๓࡟⾜࠺ࡇ࡜ࡀ࡛ࡁࡿࡇ࡜࡛࠶ࡿ. ᨵၿࡀᚲせࡔ࡜ᛮ࠺Ⅼ࡜ࡋ࡚ࡣ㸪㉁ၥࡀ
ࡋ࡟ࡃ࠸࡜࠸࠺ពぢࡀ 5 ௳࠶ࡾ㸪㉁ၥࡢࡋࡸࡍ࠸⎔ቃ࡙ࡃࡾࢆ᳨ウࡍࡿᚲせࡀ࠶ࡿ. ࡲࡓ㸪⮬⏤グ㏙࠿ࡽㄞࡳྲྀࢀࡓࡇ࡜࡜ࡋ࡚㸪ዲࡁ࡞᫬㛫࡟ື⏬ࢆど⫈ࡋ࡚ࡶࡼ࠸࢜ࣥࢹ࣐ࣥࢻᙧ
ᘧࡢᤵᴗࡣ㸪ྛཷㅮ⏕ࡢᏛ⩦ࢫࢣࢪ࣮ࣗࣝࡢㄪᩚᶵ⬟ࢆᯝࡓࡋ࠺ࡿ࡜࠸࠺ࡇ࡜࡛࠶ࡿ. ࢥࣟࢼ⚝࡟࠾࠸࡚ጞࡲࡗࡓ㐲㝸ᤵᴗ࡛ࡣ㸪᫖ᖺᗘࡲ࡛࡜ẚ࡭࡚ㄢ㢟ࡢ㔞ࡀ኱ᖜ࡟ቑ࠼ࡓ࡜ゝࢃࢀ࡚࠸ࡿࡀ㸪࢜ࣥࢹ࣐ࣥࢻᙧᘧࡢᤵᴗࡀᏛ⏕ࡢ㈇ᢸࢆ⦆࿴ࡋࡓྍ⬟ᛶࡀ⪃࠼ࡽࢀࡿ. ࡑࡋ࡚㸪ࢥࣟࢼ⚝࡛ୡ⏺୰࡛సᡂࡉࢀࡓ࢜ࣥࢹ࣐ࣥࢻᙧᘧࡢᤵᴗࡢࡓࡵࡢ኱㔞ࡢື⏬ࡣ㸪㧗➼ᩍ⫱
࡟࠾ࡅࡿ㈗㔜࡞㈈⏘࡛࠶ࡿࡇ࡜ࡶᣦ᦬ࡋ࡚࠾ࡁࡓ࠸. ඃࢀࡓື⏬ࢆඹ᭷ࡍࡿ࡞࡝ࡋ㸪ྛ኱Ꮫࡀື⏬ࡢど⫈࡛⾜࠺ࡇ࡜ࡀ࡛ࡁࡿᩍ⫱ࡀఱ࠿ࢆぢᴟࡵ㸪㧗➼ᩍ⫱ࡀࡼࡾⰋࡃ࡞ࡿ᪉ྥ࡟᭷
ຠ࡟ά⏝ࡍ࡭ࡁ࡛࠶ࢁ࠺.

Ϫ ⤖ㄒ
2020 ᖺᗘࡢ኱Ꮫᩍ⫱ࡣ㸪ࢥࣟࢼ⚝࡛ࡢᐇ᪋࡜࠸࠺ࡇ࡜࡛㸪㐲㝸ᤵᴗࢆ୰ᚰ࡜ࡋࡓࡶࡢ࡜
࡞ࡗࡓ㸬ᑐ㠃࡛ࡢᤵᴗࡢᚲせᛶࡀ㆟ㄽࡉࢀࡿ୍᪉㸪ࡑࢀࡒࢀࡢᤵᴗࡑࡢࡶࡢࡀ┠ᣦࡍ฿㐩┠ᶆ࡟ࡘ࠸࡚ࡣ㐲㝸ᤵᴗ࡛࠶ࡗ࡚ࡶ฿㐩࡛ࡁࡿࡶࡢࡀከ࠸ࡇ࡜࡟ࡣ␗ㄽࡣ࡞࠸࡜ᛮ࠺㸬⤫ィ(10) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕᏛࡸࢹ࣮ࢱࢧ࢖࢚ࣥࢫศ㔝࡟࠾ࡅࡿࢫ࢟ࣝࢭࢵࢺࡢ⩦ᚓ࡟ࡘ࠸࡚ࡣ㸪௒ᅇࡢ஦౛࡟࠾࠸࡚
ࡶ♧ࡉࢀࡓࡼ࠺࡟㸪ᑐ㠃࡛࡞ࡃ㐲㝸ᤵᴗᙧᘧ࡛ࡶ༑ศ࡛࠶ࡿ࡜࠸࠼ࡿ㸬୍᪉㸪ࡑࡢά⏝ຊࢆ༑ศ࡟ఙࡤࡍࡓࡵࡢࢢ࣮ࣝࣉ࣮࣡ࢡࡢᣢࡕ᪉࡟ࡣ㸪ࡲࡔㄢ㢟ࡶከࡃ㸪௒ᚋ஦౛ࢆ✚ࡳ㔜ࡡ࡚࠸ࡃᚲせࡀ࠶ࡿ㸬ࢥࣟࢼ⚝㸪ࢥࣟࢼᚋ࡟࠾࠸࡚㸪ࢹ࣮ࢱࢧ࢖࢚ࣥࢫᩍ⫱ࡢ㔜せᛶࡣቑࡋ࡚࠸
ࡃ࡞࠿㸪㐲㝸ᤵᴗࢆ๓ᥦ࡜ࡋࡓࢹ࣮ࢱࢧ࢖࢚ࣥࢫᩍ⫱ࡢ඘ᐇࡀᮃࡲࢀࡿ㸬ཧ⪃ᩥ⊩ᒾୗᚿ஀㸪ఀ⸨㞞ோ㸪኱㔝⃈㞝㸪2015㸪
ࠕJMOOC ㅮᗙࢆά⏝ࡋࡓ཯㌿ᤵᴗࡢᐇ᪋ࠖ
ࠗ኱Ꮫᩍ⫱࡜᝟ሗ࠘2015 ᖺᗘ(1) 㸪18-21㸬ⰼᮌⰋ㸪す௰๎༤㸪ఀ⸨┤἞㸪㏆⸨⿱㸪⯚ᶫ཭㤶㸪ྜྷ஭㈗ᑑ㸪2015㸪ࠕ኱Ꮫ࡛ࡢᩘᏛᏛ⩦࡟࠾ࡅࡿ཯㌿ᤵᴗࡢᑟධ࡟㛵ࡍࡿ୍⪃ᐹࠖࠗḟୡ௦ᩍဨ㣴ᡂࢭࣥࢱ࣮◊✲⣖せ࠘(1) 㸪351-354㸬
Ώ㎶⨾ᬛᏊ, Ḉ஭ᑦᏊ, ᒣཱྀ࿴⠊, ஭ୖ㐩⣖, ୰ᕝ㔜࿴㸪2000㸪ࠕ⥲ྜ᝟ሗฎ⌮ᩍ⫱࡜ࡋ࡚ࡢ⤫ィศᯒ⬟ຊࡢ⫱ᡂἲ࡜࢖ࣥࢱ࣮ࢿࢵࢺୖࡢᨭ᥼ᩍᮦ㛤Ⓨ࡟ࡘ࠸࡚ࠖ
ࠗ᝟ሗᩍ⫱᪉
ἲ◊✲࠘➨ 3 ᕳ㸪67-72.
URL
AI ᡓ␎ 2019㸪https://www.kantei.go.jp/jp/singi/tougouinnovation/pdf/aisenryaku2019.pdf㸦2021 ᖺ 1 ᭶ 6 ᪥ྲྀᚓ㸧
GAISE㸪2005㸪Guidelines for Assessment and Instruction in Statistics Education(GAISE) Reports㸪https://www.amstat.org/asa/education/Guidelines-forAssessment-and-Instruction-in-Statistics-Education-Reports.aspx㸦2021 ᖺ 1 ᭶ 6
᪥ྲྀᚓ㸧
JGSS2010㸪https://ssjda.iss.u-tokyo.ac.jp/Direct/gaiyo.php?eid=0850㸦2021 ᖺ 1 ᭶ 6 ᪥ྲྀᚓ㸧ࣔࢹ࣒ࣝ࢝ࣜ࢟ࣗࣛ㸪2020㸪http://www.mi.utokyo.ac.jp/consortium/model_literacy.html㸦2021 ᖺ 1 ᭶ 6 ᪥ྲྀᚓ㸧㹙◊✲ࣀ࣮ࢺ㹛ࢥࣟࢼ⚝࡟࠾ࡅࡿ⤫ィᩍ⫱ (11)

Summary

Statistical Education in Corona Disaster:
Improvements based on the on-demand statistics courses at CSI
Seiichi Yamaguchi
Kazunori Yamaguchi
Minoru Kadota
With the global spread of COVID-19, university education in the year 2020
became centered on distance learning. Although face-to-face lectures are important, ondemand learning has great advantages in the acquisition of data analysis skills, in thatlearners can watch and check the lectures repeatedly at their own pace. The class sizeof a basic statistics class in a faculty of humanities and social sciences is often large,
and the learners' basic skills in mathematics and computer skills vary widely. On theother hand, in learning to develop statistical thinking skills, it is important to provide
opportunities for communication using evidence such as statistics. However, it becomesdifficult to provide such opportunities in an on-demand format. In this paper, we
introduce the case of on-demand distance learning of statistics at Rikkyo University in
2020.
Key words: Data science, Distance education, On-demand lecture

(12) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ㹙◊✲ࣀ࣮ࢺ㹛᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ࢆཷࡅࡓ⤫ィసᡂᶵ㛵ࡢᑐᛂ (13)ࠓ◊✲ࣀ࣮ࢺࠔ

᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ࢆཷࡅࡓ⤫ィసᡂᶵ㛵ࡢᑐᛂ
℈ᮏ ┿୍
すᯘ ຾࿃
Ḉᮏ ೺
࠙せ᪨ࠚ ᮏㄽ࡛ࡣ, 2020 ᖺࡢ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫᣑ኱࡟ᑐࡍࡿᨻᗓᶵ㛵ࡢᑐᛂࢆ, බⓗ⤫ィ᝟ሗࡢほⅬ࠿ࡽࡲ࡜ࡵࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ. ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫࡢឤᰁᣑ኱ࢆཷࡅ࡚, ࡉࡽ࡞ࡿឤᰁ⪅ࡢቑຍࢆᢚ࠼
ࡿᙧ࡛ࡢබඹࢧ࣮ࣅࢫࡢᥦ౪ࡀᚲせ࡜࡞ࡗࡓ. ឤᰁᣑ኱㜵Ṇࡢࡓࡵ࡟ࡣ㐺ษ࡞ᐇែᢕᥱࡀᚲせ࡛࠶ࡾ, ྛ┬ᗇࡀࡑࢀࡒࢀࡢᡤ⟶ࡢศ㔝࡟ࡘ࠸࡚, ᐇែᢕᥱ࡜ឤᰁᣑ኱㜵Ṇ⟇ࡢ⟇ᐃࢆ㏕ࡽࢀ࡚࠸ࡿ. ᮏㄽ࡛ࡣ, ௦⾲ⓗ࡞⾜ᨻᶵ㛵ࢆ౛࡟, ࡑࢀࡒࢀࡀ࡝ࡢࡼ࠺࡞ᑐᛂࢆࡋ࡚࠸ࡓࡢ࠿ࢆࡲ࡜ࡵ࡚࠸ࡃ. ࡲࡓ, 2020 ᖺ࡟⾜ࢃࢀࡓබⓗ⤫ィసᡂࡢࡓࡵࡢ⤫ィㄪᰝࡀ࡝ࡢࡼ࠺࡞ᑐᛂࢆࡋ࡚ࡁࡓࡢ࠿, ࡲࡓࡣ㏕ࡽࢀ࡚࠸ࡿࡢ࠿ࢆᩚ⌮ࡋ,᭷஦࡟࠾ࡅࡿබⓗ⤫ィㄪᰝࡢ࠶ࡾ᪉࡟ࡘ࠸࡚⪃ᐹࡍࡿ.

Ϩ ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫࡢὶ⾜࡜ᨻᗓᶵ⬟ ௧࿴ 2㸦2020㸧ᖺࡢ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫ㸦severe acute respiratory syndrome coronavirus 2;
SARS-CoV-2㸧ࡢୡ⏺ⓗឤᰁ㸦COVID-19㸧ࢆཷࡅ࡚, ከࡃࡢබⓗᶵ㛵ࡀࡑࡢᑐᛂࢆ㏕ࡽࢀ
࡚࠸ࡿ. බⓗᶵ㛵ࡀᢸ࠺኱ࡁ࡞ᙺ๭ࡢ୍ࡘ࡟, ᅜෆࡢ⌧≧ᢕᥱ, ࡍ࡞ࢃࡕබⓗ⤫ィ᝟ሗࡢస
ᡂࡀ࠶ࡿ. බⓗ⤫ィࡢ୰࡛ࡶ≉࡟㔜せ࡞⤫ィ࡜ࡋ࡚⤫ィἲ, ࠾ࡼࡧ⥲ົ኱⮧ࡼࡾᣦᐃࡉࢀ
࡚࠸ࡿᇶᖿ⤫ィࡣ, ࡑࡢከࡃࡀ⤫ィㄪᰝဨࢆ⏝࠸ࡓ⤫ィㄪᰝ࡛࠶ࡿ. ឤᰁᣑ኱ࢆ㜵ࡄࡓࡵ࡟ᑐே᥋ゐࡸ఍ヰࢆ㑊ࡅࡿࡇ࡜ࡀ᥎ዡࡉࢀ࡚࠸ࡿ୍᪉࡛, බⓗ⤫ィࡢసᡂ࡟ࡣ, ᚲ↛ⓗ࡟ே࡜ே࡜ࡢ᥋ゐ, ఍ヰࡀᚲ㡲࡜࡞ࡿ.
 බⓗ⤫ィㄪᰝࡣከࡃࡢண⟬࡜ேဨࢆ⏝࠸࡚⾜ࢃࢀࡿ. ࡑࡢศᅜᐙⓗ࡞༴ᶵ≧ἣ࡟࠾࠸࡚
ࡣࡑࡢసᡂ࣭㐠⏝ࡀ㠀ᖖ࡟ᅔ㞴࡟࡞ࡿ. ኱ṇ 9㸦1920㸧ᖺࡼࡾࢃࡀᅜ࡛㛤ጞࡉࢀࡓᅜໃㄪᰝ
ࢆ౛࡟ᣲࡆࡿ࡜, ᫛࿴ 20㸦1945㸧ᖺࡣㄪᰝࢆ⾜࠺࡭ࡁᖺ࡛࠶ࡿࡀ, ᡓ᫬ࡢ≧ἣࢆ㋃ࡲ࠼࡚
ᅜໃㄪᰝࢆ୍ᩧ࡟⾜࠺ࡇ࡜ࡣ୙ྍ⬟࡜ุ᩿ࡉࢀ, ୰Ṇࡉࢀࡓ. ୍᪉࡛ᡓ᫬ୗࡢືဨຊ, 㣗⣊౪⤥࡞࡝ࡢ㠃࠿ࡽṇ☜࡞᝟ሗࡢᚲせᛶࡣࡼࡾ኱ࡁࡃ࡞ࡗ࡚࠸ࡿ. ࡑࡢࡼ࠺࡞୰࡛, ᫛࿴ 19ᖺ㸦1944㸧ᖺ௨㝆࡟ࡣᅜໃㄪᰝ࡜ࡣูࡢᙧ࡛⡆᫆ⓗ࡞ேཱྀㄪᰝࡀ⾜ࢃࢀࡓ. ᩋᡓ┤ᚋࡢ᫛࿴
20㸦1945㸧ᖺ࡜ࡑࡢ⩣ᖺ࡟ࡶ, 㑅ᣲேྡ⡙☜ᐃࡸࡑࡢ௚ࡢᡓᚋᨵ㠉ࡢᇶ♏㈨ᩱ࡜ࡋ࡚ࡢ⡆᫆ேཱྀㄪᰝࡀ⾜ࢃࢀ࡚࠸ࡿ㸦బ⸨, 2015㸧. ࡑࡢᚋࡢ᫛࿴ 22㸦1947㸧ᖺ࡟, ⤫ィἲୖࡢ౛እᥐ
⨨࡜ࡋ࡚, ➨ 6 ᅇࡢᅜໃㄪᰝࡀ⾜ࢃࢀ࡚࠸ࡿ.
 ࡇࡢ࡯࠿࡟ࡶᡓ᫬ୗ࡛ࡢேཱྀᢕᥱࡣ, ᐇ᪋ࡇࡑࡉࢀ࡚࠸࡞࠸ࡶࡢࡢ࠸ࡃࡘ࠿ࡢㄪᰝࡀィ⏬ࡉࢀ࡚࠾ࡾ, ⥭ᛴ஦ែ࡟࠶ࡗ࡚ࡶṇ☜࡞⤫ィ᝟ሗࢆᚓࡿࡇ࡜ࡢ㔜せᛶࡣᦂࡽࡀ࡞࠸࡝ࡇ
ࢁ࠿, ࡴࡋࢁࡑࡢ㔜せᛶࢆቑࡋ࡚࠸ࡿ࡜࠸ࡗ࡚ࡼ࠸. ወࡋࡃࡶ௧࿴ 2㸦2020㸧ᖺࡣ➨ 21 ᅇࡢᅜໃㄪᰝࡢᖺ࡛࠶ࡾ, ๓ᅇ࠿ࡽᑟධࡋ࡚࠸ࡓ࢙࢘ࣈ࡛ࡢᅇ⟅࡟ࡼࡾ, ᑐே᥋ゐࢆᴟ㝈ࡲ(14) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ࡛ῶࡽࡋ࡞ࡀࡽࡢᐇ᪋࡜࡞ࡗࡓ. ⥲ົ┬ࡢ㏿ሗ࡛ࡣ, ࢙࢘ࣈ࡛ᅇ⟅ࡋࡓୡᖏࡢẚ⋡ࡣᖹᡂ27㸦2015㸧ᖺㄪᰝࢆ 2. 5%ୖᅇࡾ⣙ 4 ๭࡜࡞ࡗࡓ㸦URL 9㸧.
 ᇶᖿ⤫ィࢆ୰ᚰ࡜ࡍࡿ⥅⥆ⓗ࡞ㄪᰝࡢ࡯࠿࡟ࡶ, ⥭ᛴ᫬ࡢᑐ⟇࡜ࡋ࡚ࡢ᝟ሗබ㛤ࡶ㔜せ࡞⾜ᨻࢧ࣮ࣅࢫࡢ୍ࡘ࡛࠶ࡾ, ྛ┬ᗇ࡛ࡑࢀࡒࢀࡢᑓ㛛࡟≉໬ࡋࡓ᝟ሗ཰㞟ࡀ⾜ࢃࢀ࡚࠸ࡿ. ᮏㄽ࡛ࡣ COVID-19 ୗ࡛ࡢࢃࡀᅜࡢබⓗ⤫ィసᡂᶵ㛵ࡀ࡝ࡢࡼ࠺࡞ᑐᛂࢆ㏕ࡽࢀࡓࡢ࠿ࢆ, ࠸ࡃࡘ࠿ࡢ⤫ィసᡂᶵ㛵࡟ⓗࢆ⤠ࡗ࡚ࣞࣅ࣮ࣗࡍࡿ. ࡑࡢ࠺࠼࡛, ༴ᶵⓗ≧ἣࡢࣜࢫࢡࡢ୰࡛බⓗ⤫ィసᡂࡀ࡝࠺࠶ࡿ࡭ࡁ࠿࡟୍ࡘࡢ⪃ᐹࢆ୚࠼ࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ.

ϩ ┬ᗇࡢᑐᛂ౛
1. ⤫ィጤဨ఍ཬࡧᨻᗓ⤫ィࡢᑐᛂ⟇௒ᖺᗘ 6 ᭶࡟ᒣ㔝⣖ᙪ OECD ⏘ᴗᢏ⾡࢖ࣀ࣮࣋ࢩࣙࣥㄢ㛗࠿ࡽ⅏ᐖ័ࢀࡋࡓ᪥ᮏࡢබⓗ⤫ィࡢᑐᛂࡣㅖእᅜ࡟࡜ࡗ࡚᭷┈࡞ࡢ࡛, ࢖ࢠࣜࢫ⤫ィᒁ࡛ሗ࿌ࡋ࡚ࡣ࡝࠺࠿࡜Ḉᮏࡲ࡛ᥦ᱌ࡀ࠶ࡗࡓ. ⤫ィጤဨ఍ࡢᐊ㛗ࢆࡉࢀ࡚࠸ࡿⴗ㔝ぬඛ⏕࡜ࡶ㆟ㄽࡋ࡚, ࢖ࢠࣜࢫ⤫ィᒁࡢ௜ᒓ◊✲ᡤ࡛ሗ࿌ࡍࡿࡇ࡜࡟ࡋ, ⤫ィጤဨ఍࡛ࡢ㆟ㄽࢆㄪ࡭ࡓ. Sakuramoto et al.
(2020) ࢆసᡂࡍࡿ㐣⛬࡛, ⤫ィጤဨ఍࡛ࡣ⤖ᯝⓗ࡟ 4 ࡘ࡟ศࡅࡓᑐᛂࡀ♧ࡉࢀࡓ.
1) ㄪᰝࡢ୰Ṇ㸸ᅜẸ⏕άᇶ♏ㄪᰝ(ཌ⏕ປാ┬)࡜ປാຊㄪᰝ(⥲ົ┬)ࡢ≉ูㄪᰝࡣ୰Ṇࡍࡿ.
2) ㄪᰝࡢᘏᮇ㸸Ꮫᰯಖ೺⤫ィㄪᰝ(ᩥ㒊⛉Ꮫ┬)࡜⫋✀ูẸ㛫⤥୚ᐇែㄪᰝ(ே஦㝔)3) ㄪᰝᅇ⟅ᮇ㛫ࡢᘏᮇ㸸♫఍⚟♴᪋タ➼ㄪᰝ(ཌ⏕ປാ┬)࡜⾨⏕⾜ᨻሗ࿌౛(ཌ⏕ປാ┬)4) ࣓࣮࣭ࣝ࢜ࣥࣛ࢖࡛ࣥࡢㄪᰝᑟධ㸸ᐙィㄪᰝ(⥲ົ┬), ♫఍ಖ㞀⏕ィㄪᰝ(ཌ⏕ປാ┬),ᾘ㈝ືྥㄪᰝ(ෆ㛶ᗓ) 3) ࡢㄪᰝᅇ⟅ᮇ㛫ࡢᘏᮇࡣᅜໃㄪᰝࡢ࢜ࣥࣛ࢖ࣥᅇ⟅࡛ࡶᐇ᪋ࡉࢀࡓࡢ࡛, ௚ࡢㄪᰝ࡛
ࡶ⾜ࢃࢀࡓ౛ࡀ࠶ࡿ࠿ࡶࡋࢀ࡞࠸. ᅜໃㄪᰝࡢᐇົࡣ࡯ࡰ㏻ᖖ㏻ࡾᐇ᪋ࡉࢀࡓ. ປാຊㄪᰝࡢᢸᙜ⪅࡟ 6 ᭶ࡢᏛ఍᫬࡟┤᥋ㄪᰝࡢᐇົࢆ࠺࠿ࡀ࠺ᶵ఍ࡀ࠶ࡗࡓ㝿࡟ࡣ, ㄪᰝᐇົ࡟
ࡣᴗົࡢ࢜ࣥࣛ࢖ࣥ໬࡟క࠸, ㄪᰝဨࢆ᮰ࡡࡿࡢࡀ኱ኚ࡟࡞ࡿ࡜࠸ࡗࡓ, ⣽࠿࠸ᙳ㡪ࡀࡳࡽࢀ, ࡞࠿࡞࠿බⓗ⤫ィ඲య࡜ࡋ࡚ᙳ㡪ࢆࡲ࡜ࡵࡿࡢࡣ㞴ࡋ࠸༳㇟ࢆཷࡅࡓ. ຍᕤ⤫ィ࡛ࡣ 2021 ᖺ⤒῭ࢭࣥࢧࢫࡢᐇ᪋ࡸ⏘ᴗ㐃㛵⾲ࡢసᡂ࡜࠸ࡗࡓ㆟ㄽࡀ࠶ࡗࡓࡀ, ⤖ᯝ࡜ࡋ࡚㏻
ᖖ㏻ࡾᐇ᪋࡜Ỵࡲࡗࡓ. GDP ᥎ィ࡛ࡣෆ㛶ᗓ࠿ࡽ᥎ィ᪉ἲࡢኚ᭦ࡀ⾜ࢃࢀࡿࡇ࡜࡟࡞ࡗࡓ.
 ⤒῭ⓗᙳ㡪࡟ࡘ࠸࡚ࡣ 2020 ᖺ 4-6 ᭶ᮇ GDP ㏿ሗ࡛♧ࡍᐇ㉁ᡂ㛗⋡(ᖺ⋡᥮⟬῭)ࡣ, -28.
1㸣࡜࡞ࡾ, ᅄ༙ᮇ࡜ࡋ࡚ࡣ 1955 ᖺ௨㝆ほ ࡛ࡁࡿࣞ࣋ࣝ࡜ࡋ࡚ࡣ㐣ཤ᭱኱ࡢⴠࡕ㎸ࡳࢆグ㘓ࡋࡓ. Sakuramoto et al. (2020)࡛ 2020 ᖺࡢ GDP ᡂ㛗⋡ࡀࡶࡋⴠࡕ㎸ࡴ࡜ࡍࡿ࡜, ࠸ࡘ௨᮶࠿ࢆㄪ࡭ࡓ. 㐣ཤࡢ⤒῭ᡂ㛗⋡ࡢⴠࡕ㎸ࡳࢆㄪ࡭ࡿ࡟㝿ࡋ࡚, 1980 ᖺࡼࡾ௨๓ࡢ⣔ิࡣ GNP ᡂ㛗⋡࡜࡞ࡿ. ࡶࡋ GDP ᐇ㉁ᡂ㛗⋡ࡢⴠࡕ㎸ࡳࡀ 6-8㸣࡟㐩ࡍࡿሙྜ, 1955 ᖺ௨㝆࡟ࡣ౛ࡀ࡞࠸.
 ࡑࡢ⤖ᯝ, ⾲ 2-1 ࡟♧ࡍࡼ࠺࡟ 1923 ᖺ㛵ᮾ኱㟈⅏(⣙ 14 ୓ேࡀஸࡃ࡞ࡿ), 1930-31 ᖺୡ⏺኱ᜍៃ, 1940 ᖺኴᖹὒᡓத๓ࡢ⤒῭ไ⿢ᮇ, 1944 ᖺ኱ᡓᮎᮇࡢᡂ㛗⋡௨᮶ࡢ⤒῭ࢩࣙࢵ㹙◊✲ࣀ࣮ࢺ㹛᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ࢆཷࡅࡓ⤫ィసᡂᶵ㛵ࡢᑐᛂ (15)ࢡ࡜࡞ࡿ࠿ࡶࡋࢀ࡞࠸ࡇ࡜ࡀࢃ࠿ࡗࡓ.
2. ⥲ົ┬

⾲ 2-1 ⤒῭࡬ࡢᝏᙳ㡪᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫ࡟ࡼࡿ♫఍ⓗ୉ઔਬ‫ܯ‬

ΰ஘ࡢ୰, ⥲ົ┬ࡀ⤫ィసᡂ࡟㝿ࡋ࡚࡝ࡢࡼ࠺࡞ጼໃ࡛஦ែ࡟ᑐฎࡋ࡚
࠸ࡃࡢ࠿, ࠕ⥭ᛴ஦ែࡔ࠿ࡽࡇࡑ,බⓗ⤫ィ࡟࢚࣮ࣝࢆࠖ࡜㢟ࡍࡿᩥ᭩ࡀ 2020 ᖺ 5 ᭶ 13 ᪥௜࡛⥲ົ┬⤫ィᒁ㛗ࡼࡾබ⾲ࡉࢀ࡚࠸ࡿ㸦URL
8㸧. ࡑࡢ୰࡛, ձẖ᭶ㄪᰝࢆ⾜ࡗ࡚࠸ࡿᐙィㄪᰝ, ປാຊㄪᰝ, ᑠ኎≀౯⤫ィㄪᰝ㸦࠸ࢃࡺࡿࠕ⤒ᖖ 3 ㄪᰝࠖ㸧࡜, ղ2020 ᖺࡀᐇ᪋ᖺ࡛࠶ࡿ
ᅜໃㄪᰝ࡟ࡘ࠸࡚, ᪂ᆺࢥࣟࢼ࢘࢖
ࣝࢫࡢឤᰁᣑ኱࡟㓄៖ࡋࡘࡘ⤫ィసᡂࢆ☜ᐇ࡟⾜࠺࡜࠸࠺ࡇ࡜ࡀᐉゝࡉ
ࢀ࡚࠸ࡿ. ලయⓗᡭẁ࡜ࡋ࡚ḟࡢ஧Ⅼࡀグࡉࢀ࡚࠸ࡿ. ➨୍࡟, ⤫ィㄪᰝဨࡀㄪᰝᑐ㇟࡛࠶ࡿ᪉ࠎ࡟┤᥋᥋ゐࡍࡿᶵ఍ࢆ࡛ࡁࡿࡔࡅᑡ࡞ࡃࡍࡿ
ࡇ࡜, ➨஧࡟, ࡑࡢࡓࡵ࡟㠀ᖖ᫬࡟⤫ィㄪᰝ࡟㒑౽࠾ࡼࡧ࢖ࣥࢱ࣮ࢿࢵ
ࢺࢆά⏝ࡍࡿࡇ࡜࡛࠶ࡿ㸦㒑౽ࡢά⏝ࡣ, ᐙィㄪᰝ࣭ປാຊㄪᰝ࡟ࡘ࠸
࡚ 4 ᭶ࡢ⥲ົ┬౛ᨵṇ࡟࡚ᑐᛂ㸧.

಼ֵැਬ‫ܯ‬ड़པࣆ*13੔ௗི໌໪ ࣰ࣯ ໌໪ ࣰ࣯ ੊ֆ
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‫ؖ‬౨୉ਔࡄ

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 ::ᶚ࢟ΉΖ όϠϱύϱࣆ݇ଢฑ༺ક૬࢟ΉΖ
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ฟᡤ㸸኱ᕝ et al. (1974)

௨ୗ࡛ࡣ, ⥲ົ┬⤫ィᒁࡢ୺せ⤫ィㄪᰝ࡛࠶ࡿձ⤒ᖖ 3 ㄪᰝ, ղᅜໃㄪᰝࡢ≧ἣࢆᴫほࡍࡿ.
ࡲࡎ, ⤒ᖖ 3 ㄪᰝ࡟ࡘ࠸࡚࡛࠶ࡿ. ヱᙜࡍࡿᐙィㄪᰝ, ປാຊㄪᰝ, ᑠ኎≀౯⤫ィㄪᰝࡣ,⥲ົ┬⤫ィᒁࡀẖ᭶ㄪᰝࢆ⾜࠺ㄪᰝဨㄪᰝ࡛࠶ࡿ. ୖ㏙ࡢ㏻ࡾ, 㒑౽࠾ࡼࡧ࢖ࣥࢱ࣮ࢿࢵ
ࢺࢆά⏝ࡍࡿࡇ࡜࡟ࡼࡗ࡚, ㄪᰝဨ࡜ㄪᰝᑐ㇟ࡢ᪉ࠎࡀ᥋ゐࡍࡿᶵ఍ࢆῶࡽࡋࡘࡘ, ㄪᰝࢆᐇ᪋ࡋࡓ.
ḟ࡟, ᅜໃㄪᰝ࡟ࡘ࠸࡚࡛࠶ࡿ. ᅜໃㄪᰝࡣ 5 ᖺࡈ࡜࡟ᐇ᪋ࡍࡿ඲ᩘㄪᰝ࡛࠶ࡾ, 2020 ᖺࡀᐇ᪋ᖺ࡛࠶ࡗࡓ㸦ㄪᰝ᪥ࡣ 10 ᭶ 1 ᪥㸧. ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫ࡟ࡼࡿ♫఍ⓗΰ஘࡟ᑐᛂࡋ
࡞ࡀࡽㄪᰝࢆᐇ᪋ࡍ࡭ࡃ, ࠕ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ࡢᙳ㡪ࢆ㋃ࡲ࠼ࡓ௧࿴㸰ᖺᅜໃㄪᰝ
ࡢᑐᛂ᪉㔪ࠖࡀྠᖺ 7 ᭶ 7 ᪥௜࡛⥲ົ┬ᢞᙳᒁࡼࡾබ⾲ࡉࢀ࡚࠸ࡿ㸦URL 12㸧. ࡑࡢᩥ᭩ࡢ୰࡛, ௨ୗ 5 ࡘࡢᑐᛂ⟇ࡀ♧ࡉࢀ࡚࠸ࡿ.
1)ࠕ㠀᥋ゐࡢㄪᰝ᪉ἲࡢᑟධࠖ
㸸ㄪᰝ⚊ࡢ㓄ᕸ࡟ࡘ࠸࡚ࡣ, ୡᖏࡢ᪉࡜㠃᥋ࢆ⾜ࢃࡎ࡟࢖ࣥࢱ࣮ࣇ࢛ࣥ㉺ࡋ࡟ㄝ᫂, 㒑(16) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ౽ཷࡅ➼࡟࡚ㄪᰝ⚊ࢆ㓄ᕸࡋ, ㄪᰝ⚊ࡢᅇ཰࡟ࡘ࠸࡚ࡣ, ࢖ࣥࢱ࣮ࢿࢵࢺ࠾ࡼࡧ㒑౽ࢆά⏝ࡍࡿ.
2)ࠕㄪᰝ᭩㢮ࡢ㓄ᕸᮇ㛫ࡢᘏ㛗ࠖ㸸
ᙜึࡣ 9 ᭶ 14 ᪥㹼20 ᪥ࡢ 7 ᪥㛫࡛࠶ࡗࡓ㓄ᕸᮇ㛫ࢆྠ᭶ 14 ᪥㹼30 ᪥ࡢ᭱኱ 17 ᪥㛫࡜ࡍࡿ.
3)ࠕ୙ᅾୡᖏ࡟ᑐࡍࡿ෌ゼၥᅇᩘࡢ⦆࿴ࠖ
㸸ୡᖏࡀ୙ᅾ࡛ㄪᰝ⚊ࡀ㓄ᕸ࡛ࡁ࡞࠿ࡗࡓሙྜࡢ෌ゼၥᅇᩘ 3 ᅇࢆㄪᰝဨࡢㄪᰝ༊➼࡟ᛂࡌ࡚⦆࿴ࡍࡿ.
4)ࠕㄪᰝᮇ㛫㸦ㄪᰝ⚊ࡢᅇ཰ᮇ㛫㸧ࡢᘏ㛗ࠖ:
ඖࠎ10 ᭶ 20 ᪥ࡲ࡛࡜ࡋ࡚࠸ࡓㄪᰝᮇ㛫㸦ㄪᰝ⚊ࡢᅇ཰ᮇ㛫㸧ࢆ୍㒊ᆅᇦ࡛᭱኱ 11
᭶ 20 ᪥ࡲ࡛ᘏ㛗ࡍࡿ.
5) ࠕᑂᰝᮇ㛫ࡢᘏ㛗ࠖ㸸ୡᖏࡀᅇ⟅ࡋࡓㄪᰝ⚊ࢆᕷ༊⏫ᮧࡀᑂᰝࡍࡿᮇ㛫ࢆ᭱኱ 2 ࠿᭶ᘏ㛗ࡍࡿ.
ᅜໃㄪᰝ࡟࠾ࡅࡿ୰ᚰⓗ࡞ᑐᛂ⟇ࡢ୍ࡘࡣ, ඛ㏙ࡋࡓ࢖ࣥࢱ࣮ࢿࢵࢺά⏝ࡔ࡜ゝ࠼ࡿ.
౛࠼ࡤ᪥ᮏ⤒῭᪂⪺㸦2020 ᖺ 8 ᭶ 21 ᪥௜㸧࡛ࡶሗࡌࡽࢀ࡚࠸ࡿࡼ࠺࡟, ㄪᰝᅇ⟅࡟࢖ࣥࢱ࣮ࢿࢵࢺࢆᑟධࡋࡓ 2015 ᖺㄪᰝࡢ㝿࡟ 36. 9㸣ࡔࡗࡓ࢖ࣥࢱ࣮ࢿࢵࢺᅇ⟅⋡ࢆ 2020 ᖺㄪᰝ࡛ 50㸣࡟ᘬࡁୖࡆࡿࡇ࡜ࡀ┠ᶆ࡜ࡉࢀ࡚࠸ࡓ. ⥲ົ┬⤫ィᒁࡢⓎ⾲࡟ࡼࢀࡤ, ㄪᰝᮇ㛫ࡀ⤊஢ࡋࡓ 10 ᭶ 20 ᪥᫬Ⅼ࡛, 2020 ᖺࡢᅇ⟅⋡ࡣ࢖ࣥࢱ࣮ࢿࢵࢺ 39. 5㸣, 㒑㏦ 41. 5㸣ࡢィ 81. 3㸣࡛࠶ࡾ, ๓ᅇㄪᰝࡢ࢖ࣥࢱ࣮ࢿࢵࢺ 36. 9㸣, 㒑㏦ 34. 1㸣ࡢィ 71. 0㸣ࢆ࠸ࡎࢀࡶ
ୖᅇࡿ⤖ᯝ࡜࡞ࡗࡓࡀ, ┠ᶆࡢ࢖ࣥࢱ࣮ࢿࢵࢺᅇ⟅⋡ 50㸣ࢆ㐩ᡂࡍࡿࡇ࡜ࡣ࡛ࡁ࡞࠿ࡗࡓ
㸦URL 7㸧.
3. ཌ⏕ປാ┬ཌ⏕ປാ┬ࡀసᡂࡍࡿ⤫ィࡣ, ձேཱྀ࣭ୡᖏ, ղಖ㝤࣭⾨⏕, ճ♫఍⚟♴, մ௓ㆤ࣭㧗㱋⪅⚟♴, յ♫఍ಖ㝤, ն♫఍ಖ㞀➼, շ㞠⏝, ո㈤㔠, չປാ᫬㛫, պ⚟฼ཌ⏕, ջேᮦ㛤Ⓨ,ռປാ⅏ᐖ࣭ປാᏳ඲⾨⏕࣭ປാಖ㝤, սປ౑㛵ಀ, վࡑࡢ௚࡜, ከ㡯┠࡟Ώࡗ࡚࠸ࡿ. ௨ୗ
࡛ࡣ, ୖグ㡯┠ࡢ࠺ࡕ≉࡟୺せ࡞ᇶᖿ⤫ィ࡟㝈ᐃࡋ࡚, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁᣑ኱࡟࡝
ࡢࡼ࠺࡞ᙳ㡪ࢆཷࡅࡓࡢ࠿, ᴫほࡍࡿ.
ࡲࡎ, ேཱྀືែ⤫ィ࡟ࡘ࠸࡚ࡣ, ᴗົ⤫ィ࡛࠶ࡿࡇ࡜ࡶ࠶ࡾ, ㄪᰝ࡟ᙳ㡪ࡣฟ࡚࠸࡞࠸.
ேཱྀືែ⤫ィࡢ㏿ሗࡣ 2020 ᖺ 1 ᭶㹼10 ᭶ศࡀබ⾲ࡉࢀ࡚࠸ࡿ. ࡑࡢ୰㌟࡟ࡘ࠸࡚ࡣ, 1㹼
10 ᭶ࡢṚஸ⪅ᩘࡣ๓ᖺྠ᫬ᮇ࡜ẚ㍑ࡋ࡚⣙ 1 ୓ 4000 ேῶᑡࡋ࡚࠾ࡾ, ౛࠼ࡤ᪥ᮏ⤒῭᪂⪺㸦2020 ᖺ 12 ᭶ 28 ᪥௜㸧࡛ࡶሗࡌࡽࢀ࡚࠸ࡿࡼ࠺࡟, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫᑐ⟇࡟ࡼࡗ࡚௚ࡢឤᰁ⑕࡟ࡼࡿṚஸࡀ⃭ῶࡋࡓᙳ㡪ࡔ࡜ゝࢃࢀࡿ㸦ᅗ㸧. ୍᪉࡛, ẖᖺᮎ࡟බ⾲ࡋ࡚࠸ࡿேཱྀືែ⤫ィࡢᖺ㛫᥎ィ࡟ࡘ࠸࡚, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫࡢᙳ㡪࡛ືྥࡀ኱ࡁࡃ␗࡞ࡗ࡚࠸
ࡿࡓࡵ, ᚑ᮶ࡢࡼ࠺࡟ࠕ๓ᖺࡢᩘ್ࢆᇶ‽࡜ࡋ, ௒ᖺࡢ㏿ሗ್࣭ᴫᩘ್ࡢせ⣲ࢆຍ࿡ࡋ࡚ᶵᲔⓗ࡟⟬ฟࠖࡍࡿࡇ࡜ࡀ㞴ࡋ࠸࡜ุ᩿ࡋ, 2020 ᖺࡣබ⾲ࡋ࡞࠸ࡇ࡜ࢆⓎ⾲ࡋࡓ㸦URL 2㸧.
ලయⓗ࡟ࡣ, ௨ୗࡢ 4 Ⅼ࡟࠾࠸࡚౛ᖺ࡜␗࡞ࡿືྥࡀ☜ㄆࡉࢀ࡚࠸ࡿ.
1) Ṛஸᩘࡢ⣼ィࡀ 1 ᭶㹼10 ᭶ᮇ࡟࠾࠸࡚ῶᑡ㸦㏆ᖺࡣ㧗㱋໬ࡢᙳ㡪࡛ቑຍഴྥࡔࡗࡓ㸧㹙◊✲ࣀ࣮ࢺ㹛᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ࢆཷࡅࡓ⤫ィసᡂᶵ㛵ࡢᑐᛂ (17)2) ፧ጻ௳ᩘࡢ኱ᖜ࡞ኚື3) 㞳፧௳ᩘࡢ 4 ᭶௨㝆ࡢ኱ᖜ࡞ῶᑡ4) ฟ⏕ᩘ, ፧ጻᒆࡅฟᩘࡣ 5 ᭶௨㝆, Ṛ⏘ᩘࡣ 7 ᭶௨㝆ῶᑡࡋ࡚࠾ࡾ, 12 ᭶௨㝆ࡢฟ⏕ ᩘ࡟ᙳ㡪ࡀฟࡿྍ⬟ᛶࡇࡢࡼ࠺࡞⌮⏤࠿ࡽ, ᚑ᮶㏻ࡾࡢ᥎ィࢆ⾜ࡗࡓሙྜ, ᥎ィ್࡜ᐇ⦼್ࡀ஋㞳ࡍࡿྍ⬟ᛶࡀ኱ࡁ࠸ࡓࡵ, ᖺ㛫᥎ィࡣබ⾲ࡋ࡞࠸㐠ࡧ࡜࡞ࡗࡓ.

ᅗ ᪥ᮏ⤒῭᪂⪺㸦2020 ᖺ 12 ᭶ 28 ᪥௜㸧ࡼࡾ㌿㍕ ᅜẸ⏕άᇶ♏⤫ィࡣ, ಖ೺, ་⒪, ⚟♴, ᖺ㔠, ᡤᚓ➼࡟㛵ࡍࡿ⤫ィࢹ࣮ࢱ࡛࠶ࡾ, ಖ೺ᡤ, ⚟♴᪋タ➼ࢆ⤒⏤ࡋ࡚ㄪᰝࢆ⾜࠸సᡂࡋ࡚࠸ࡿ. ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫࡢᙳ㡪ࢆཷࡅ࡚,2020 ᖺ࡟ࡘ࠸࡚ྠㄪᰝ㸦ᮏᖺࡣ⡆᫆ㄪᰝ㸧ࡣ୰Ṇ࡜࡞ࡗࡓ㸦URL 1㸧. ୰Ṇࡢ⌮⏤࡜ࡋ࡚ࡣ, ௨ୗࡢ 3 Ⅼࡀᣲࡆࡽࢀ࡚࠸ࡿ. ➨୍࡟, ಖ೺ᡤ࡛ࡣ, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ᑐ⟇ࡀ᭱ඃඛ࡛࠶ࡾ, ಖ೺ᡤ⫋ဨࡀㄪᰝ࡟ປຊࢆ๭ࡃࡇ࡜ࡀ㞴ࡋ࠸≧ἣ࡛࠶ࡿࡇ࡜࡛࠶ࡿ. ➨஧࡟, ྠㄪᰝࡣ, ⤫ィㄪᰝဨࡀୡᖏࢆゼၥࡍࡿᛶ㉁ࡢࡶࡢ࡛࠶ࡿࡀ, ឤᰁᣑ኱ࡢほⅬ࠿ࡽࡇ࠺ࡋࡓᡭἲࡣᮃࡲࡋࡃ࡞࠸ࡇ࡜࡛࠶ࡿ. ➨୕࡟, ྠㄪᰝࡢ⢭ᗘࢆ☜ಖࡍࡿࡓࡵ࡟ࡣ, ㄪᰝ⚊ࡢ㓄ᕸ࣭ᅇ཰ࡢ㒑㏦࡬ࡢษ᥮࠼, ㄪᰝᮇ㛫ᘏ㛗ࡀᅔ㞴࡛࠶ࡿࡇ࡜࡛࠶ࡿ.
 ẖ᭶໅ປ⤫ィ࡟ࡘ࠸࡚ࡣ, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫࡢᙳ㡪ࢆཷࡅ࡚, ௨ୗ 2 Ⅼ࡟ࡘ࠸࡚ኚ᭦ࡉ
ࢀ࡚࠸ࡿ㸦URL 3㸧. ➨୍ࡢኚ᭦ࡣ, 2020 ᖺࡣẖ᭶໅ປ⤫ィ≉ูㄪᰝࢆ୰Ṇ࡜ࡋࡓࡇ࡜࡛࠶
ࡿ. ྠㄪᰝࡣẖᖺ 8㹼9 ᭶࡟࠿ࡅ࡚, 㞽⣽஦ᴗᡤ㸦ᖖ⏝㞠⏝⪅ᩘ 1㹼4 ேつᶍ㸧ࢆᑐ㇟࡜ࡋࡓ
ㄪᰝဨㄪᰝ࡛࠶ࡿ. ୰Ṇࡢ⌮⏤࡜ࡋ࡚௨ୗࡢ 2 Ⅼࡀᣲࡆࡽࢀ࡚࠸ࡿ. ୍ࡘࡣ, ᪂ᆺࢥࣟࢼ࢘
࢖ࣝࢫឤᰁᣑ኱㜵ṆࡢほⅬ࠿ࡽㄪᰝဨㄪᰝࡢᐇ᪋ࡀᅔ㞴࡛࠶ࡿࡇ࡜, ࡶ࠺୍ࡘࡣ, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫ࡬ࡢᑐฎ࡟ࡼࡗ࡚ㄪᰝࢆᐇ᪋ࡍࡿ㒔㐨ᗓ┴ࡢ஦ົ㈇ᢸࡀቑຍࡋ࡚࠾ࡾ, ㄪᰝࡢᐇ᪋ࡀᅔ㞴࡛࠶ࡿࡇ࡜࡛࠶ࡿ. ྠㄪᰝࡢ୰Ṇࡣ, ௦᭰ࡍࡿㄪᰝ࡜ࡋ࡚ࠕᑠつᶍ஦ᴗᡤ໅ປ
⤫ィㄪᰝࠖࡢᐇ᪋ࡀ᮲௳࡜࡞ࡗ࡚࠸ࡓ. ࠕᑠつᶍ஦ᴗᡤ໅ປ⤫ィㄪᰝࠖࡣ, 2020 ᖺ 10 ᭶ 1
᪥㹼31 ᪥ࢆㄪᰝᮇ㛫࡜ࡋ, 2019 ᖺ≉ูㄪᰝ࡛ᅇ⟅ࡢ࠶ࡗࡓ஦ᴗᡤࡢ࠺ࡕ࡛ఫᡤࡀᢕᥱࡉࢀ
࡚࠸ࡿ஦ᴗᡤࢆᑐ㇟࡜ࡍࡿ. ㄪᰝ࣭㞟ィ஦㡯ࡣ≉ูㄪᰝ࡜ྠᵝ࡛࠶ࡾ, 㒑㏦࣭࢜ࣥࣛ࢖ࣥࢆ
⏝࠸࡚ㄪᰝࢆᐇ᪋ࡍࡿ. ㄪᰝ⤖ᯝࡢබ⾲ࡣ 2021 ᖺ 4 ᭶ࡀணᐃࡉࢀ࡚࠸ࡿ. ➨஧ࡢኚ᭦ࡣ,➨஧✀஦ᴗᡤ㸦ᖖ⏝㞠⏝⪅ᩘ 5㹼29 ேつᶍ㸧ࡢㄪᰝ࡟ࡘ࠸࡚, ㄪᰝဨㄪᰝࡢᐇ᪋ࡀᅔ㞴࡞ሙ

(18) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ

ྜ, 㒔㐨ᗓ┴ࡣ⤫ィㄪᰝဨࢆ௓ࡉࡎㄪᰝ⚊ࢆ㒑㏦࡟࡚ᅇ཰࡛ࡁࡿࡼ࠺࡟ࡋࡓࡇ࡜࡛࠶ࡿ.
4.

ᩥ㒊⛉Ꮫ┬
ᩥ㒊⛉Ꮫ┬ࡢᡤ⟶஦ᴗࡢ࠺ࡕ, ᩍ⫱࡟㛵ࡍࡿ஦㡯࡟ⓗࢆ⤠ࡾ, ኱Ꮫධヨ, ኱Ꮫࡢᤵᴗ➼,࠾ࡼࡧ⤒῭ⓗ⫼ᬒ࡟ࡼࡿᑵᏛᨭ᥼࡟ࡘ࠸࡚බ㛤ࡉࢀ࡚࠸ࡿ᝟ሗࢆᩚ⌮ࡋ࡚࠸ࡃ.
ࡲࡎ኱Ꮫධヨ࡛࠶ࡿࡀ, ௧࿴ 3 ᖺᗘࡢ኱Ꮫධヨ࡟ࡣ ከ኱࡞ᙳ㡪ࡀ㑊ࡅࡽࢀ࡞࠸஦ែ࡜
࡞ࡗ࡚࠸ࡿ. ≉࡟, ឤᰁ⪅࠾ࡼࡧឤᰁ⪅ࡢ⃰ཌ᥋ゐ⪅࡟࡞ࡗࡓሙྜ࡟ఱࡽ࠿ࡢᙧ࡛ヨ㦂ᐇ᪋ୖࡢ㓄៖ࢆ⾜࠺ࡇ࡜ࡀồࡵࡽࢀ࡚࠸ࡿ. ᩥ㒊⛉Ꮫ┬࡛ࡣ, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ᑐ
⟇࡟క࠺ヨ㦂ᮇ᪥࣭ヨ㦂ᐇ᪋ୖࡢ㓄៖➼ࡢᑐᛂ≧ἣࢆࡲ࡜ࡵ࡚, ᶵ㛵ࡈ࡜࡟බ㛤ࡋ࡚࠸ࡿ
㸦URL 4㸧. ලయⓗ࡞㓄៖ࡢෆᐜࡣ, ࠕձឤᰁ⪅➼ࡢཷ㦂ᶵ఍ࡢ☜ಖࠖ࠾ࡼࡧࠕղᏛᴗࡢ㐜ࢀ࡟ᑐࡍࡿฟ㢟⠊ᅖ➼ࡢ㓄៖ࠖࡢ 2 㡯┠࡛࠶ࡾ, ࡯࡜ࢇ࡝ࡢ኱Ꮫ࡟࠾࠸࡚ձࡢཷ㦂ᶵ఍ࡢ☜ಖࡢ⟇ࢆㅮࡌ࡚࠸ࡿ. ୍᪉࡛, Ꮫᴗࡢ㐜ࢀ➼࡟ᑐࡍࡿ㓄៖ࢆ⾜࠺኱Ꮫࡣ඲యࡢ⣙༙ᩘ࡟࡜࡝ࡲࡗ࡚࠸ࡿ.
኱Ꮫ➼ᤵᴗࡣ, ከࡃࡢ኱Ꮫࡀ࢜ࣥࣛ࢖࡛ࣥᤵᴗࢆ⾜࠺ࡇ࡜ࢆవ൤࡞ࡃࡉࢀ, Ꮫ⏕ࡢᏛ⩦ᶵ఍ࡢ☜ಖࡸᏛ㈝ࡢṇᙜᛶ࡞࡝ࡀ኱ࡁ࡞ㄢ㢟࡜࡞ࡗ࡚࠸ࡿ. ᅜෆࡢ኱Ꮫ࣭▷ᮇ኱Ꮫ࠾ࡼࡧ㧗➼ᑓ㛛Ꮫᰯ㸦757 ᰯ㸧ࡢ࠺ࡕ, ௧࿴ 2 ᖺ 9 ᭶ẁ㝵࡛㸦๓ᮇ⛉┠ࡢ㸧ᑐ㠃ᤵᴗẚ⋡ࢆ 50㸣ᮍ‶࡜ࡋ࡚࠸ࡿ኱Ꮫࡣ 377 ᰯ࡛࠶ࡾ, ࡇࢀࡽࢆᑐ㇟࡟ᩥ㒊⛉Ꮫ┬ࡀ⾜ࡗࡓㄪᰝ㸦URL 5㸧࡛ࡣ, ࡑࡢ࠺ࡕ⣙༙ᩘࡢ 190 ᰯࡀ, 10 ᭶᫬Ⅼ࡛ࡢᤵᴗ㸦ᚋᮇࢭ࣓ࢫࢱ࣮㸧ࡢᑐ㠃ᤵᴗẚ⋡ࢆ50㸣௨ୖ࡟ᘬࡁୖࡆ࡚࠸ࡿ. ྠㄪᰝ࡛ࡣ, ኱Ꮫࡀ࢜ࣥࣛ࢖ࣥᤵᴗࡢ⥔ᣢ࡟࠶ࡓࡾ, ኱Ꮫࡀ⪃៖ࡋࡓ஦㡯ࢆᏛ⏕࡟୎ᑀ࡟ㄝ᫂ࡋ࡚࠸ࡿ࠿, ࡑࡋ࡚Ꮫ⏕ࡀ⣡ᚓࡋ࡚࠸ࡿ࠿ࡶㄪᰝ㡯┠࡟ྵࡲࢀ࡚࠸ࡿ 1).
⤒῭ⓗ࡞஦᝟࡟ࡼࡿᑵᏛᅔ㞴࡟ᑐࡋ࡚ࡣ, ᩥ㒊⛉Ꮫ┬ࢆࡣࡌࡵ⮬἞యࡸ⊂❧⾜ᨻἲே࡞࡝࠸ࡃࡘ࠿ࡢᨭ᥼⟇ࡀㅮࡌࡽࢀ࡚࠸ࡿ. ᩥ㒊⛉Ꮫ┬ࡢ࢙࢘ࣈࢧ࢖ࢺ࡟Ꮫ⏕ᨭ᥼ࡢไᗘࡀ୍
ぴ࡛ࡲ࡜ࡵࡽࢀ࡚࠸ࡿ࡯࠿, ⊂❧⾜ᨻἲே᪥ᮏᏛ⾡ᨭ᥼ᶵᵓࡣ, ࠕ኱Ꮫ࣭ᆅ᪉බඹᅋయ➼ࡀ⾜࠺ዡᏛ㔠ไᗘ᳨⣴࣮࣌ࢪࠖ
㸦URL 6㸧ࢆබ㛤ࡋ࡚࠾ࡾ, ࡼࡾヲ⣽࡞ᩍ⫱ᨭ᥼⟇ࢆ▱ࡿࡇ࡜ࡀ࡛ࡁࡿ.
5. ᾏእࡢᨻᗓᶵ㛵 ᾏእࡢබⓗᶵ㛵࡟࠾࠸࡚ࡶ, ྛ✀⤫ィసᡂ࡟㝿ࡋ࡚᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫ࡬ࡢᑐᛂࡀぢࡽ
ࢀࡿ. ౛࠼ࡤ, ᅜ㐃⤫ィᒁࡣ, ྛᅜࡢ⤫ィᒁࡀཧ↷ࡍ࡭ࡁ࢞࢖ࢻࣛ࢖ࣥࡢ᪉㔪࡜ࡋ࡚, ௨ୗ
6 ࡘࡢ࢝ࢸࢦู࣮ࣜ࡟, 㛵㐃ࡍࡿㄽ⪃ࢆᥖ㍕ࡋ࡚࠸ࡿ㸦URL 17㸧.
 1) ⥅⥆ᛶࡢ☜ಖ㸸ࢹ࣮ࢱసᡂࡢ⥅⥆ᛶࢆ☜ಖࡍࡿࡇ࡜
 2) ࣮ࣜࣔࢺ࣮࣡ࢡ㸸⤫ィసᡂࢫࢱࢵࣇࡢᏳ඲ࢆ☜ಖࡍࡿࡇ࡜
 3) ࢹ࣮ࢱࢯ࣮ࣜࣗࢩࣙࣥ㸸༴ᶵ࡟ᑐฎࡍࡿࡓࡵ࡟⤫ィࢹ࣮ࢱࢆά⏝ࡍࡿࡇ࡜ 4) ࣮࢜ࣉࣥࢹ࣮ࢱ㸸ࢥࣟࢼ࢘࢖ࣝࢫ㛵㐃ࡢࢹ࣮ࢱ࡟ࡍ࡭࡚ࡢ࣮ࣘࢨ࣮ࡀ࢔ࢡࢭࢫྍ⬟࡟ࡍࡿࡇ࡜ 5) ࣜࣥࢡࡢ⤂௓㸸ᅜ㐃⤫ィᒁࢆጞࡵ, ⏘ᴗ⏺࣭኱Ꮫ࣭ᕷẸᅋయ➼ࡢ᭷┈࡞᝟ሗࡢ⤂௓ 6) ⤒㦂ࡢඹ᭷㸸⤫ィ㛵㐃ࢥ࣑ࣗࢽࢸ࢕࡟ᒓࡍࡿேࠎࡀ⤒㦂ࡸពぢࢆ஺᥮ࡍࡿሙࡢᥦ౪

㹙◊✲ࣀ࣮ࢺ㹛᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ࢆཷࡅࡓ⤫ィసᡂᶵ㛵ࡢᑐᛂ (19) ࡲࡓ, ⤒῭༠ຊ㛤Ⓨᶵᵓ㸦OECD㸧ࡣ, ࠕබⓗ⤫ィࡢ஦ᴗ⥅⥆ᛶࠖ࡜࠸࠺ᩥ᭩ࢆ 5 ᭶ 6 ᪥௜࡛බ⾲ࡋ, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫࡢᙳ㡪ୗ࡛බⓗ⤫ィࢹ࣮ࢱసᡂ࡟࡝ࡢࡼ࠺࡞᪉ἲㄽⓗㄢ㢟ࡀ⏕ࡌ࡚࠸ࡿ࠿࡟ࡘ࠸࡚ㄽࡌ࡚࠸ࡿ㸦URL 16㸧. ලయⓗ࡟ࡣ, ձࢹ࣮ࢱ཰㞟࡟㛵ࡍࡿ᪉ἲ, ղࢹ࣮ࢱࡢ㐺᫬ᛶࡢಁ㐍࠾ࡼࡧ᫬⣔ิࡢ⥔ᣢ, ճࢹ࣮ࢱࡢಙ㢗ᛶࡢ☜ಖ, մ▷ᮇ࣭㛗ᮇࢹ࣮ࢱࡢ㛵㐃௜ࡅ, յࡼࡾ㛗ᮇⓗ࡞ㄢ㢟࡜࡞ࡗ࡚࠸ࡿ.
ຍ࠼࡚, Ḣᕞ⤫ィᒁ㸦Eurostat㸧ࡣ, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫ࡟ࡼࡗ࡚ᑐ㠃ㄪᰝࡀ࡛ࡁࡎ࢜
ࣥࣛ࢖࡛ࣥࡢㄪᰝࡀ୰ᚰ࡟࡞ࡗ࡚࠸ࡿࡇ࡜, ከࡃࡢ㈈࣭ࢧ࣮ࣅࢫ࡟࠾࠸࡚≀౯ࡢほ ࡀᅔ㞴࡟࡞ࡗ࡚࠸ࡿࡇ࡜, ⤫ィసᡂࢫࢱࢵࣇࡢᩘࡀ࢘࢖ࣝࢫឤᰁ࡟ࡼࡗ࡚ῶᑡࡋ࡚࠸ࡿࡇ࡜࡞
࡝ࢆཷࡅ࡚, ࡇ࠺ࡋࡓ≧ἣୗ࡟࠾ࡅࡿྛ✀⤫ィࢹ࣮ࢱసᡂࡢ࢞࢖ࢻࣛ࢖ࣥࢆྛ⤫ィࢹ࣮ࢱ㡯┠ࡈ࡜࡟බ⾲ࡋ࡚࠸ࡿ㸦URL 14㸧.
 Sakuramoto et al. (2020)ࢆሗ࿌ࡍࡿ㝿࡟࢖ࢠࣜࢫ⤫ィᒁ(ONS)ࡢ GDP ㏿ሗ᥎ィᢸᙜ⪅ࡓࡕࡢࢭࢵࢩ࡛ࣙࣥ࠶ࡗࡓࡓࡵ, ᑡࡋ㉁␲ࡋࡓ࡜ࡇࢁ, ࢖ࢠࣜࢫ࡛ࡣࣟࢵࢡࢲ࢘ࣥ࡟ࡼࡗ
࡚ᩍ⫱ᶵ㛵ࡀ୍᫬㛢㙐࡟㏣࠸㎸ࡲࢀ, ᩍ⫱ࢧ࣮ࣅࢫࡀṆࡲࡗ࡚࠸ࡿ࡟ࡶ࠿࠿ࢃࡽࡎ, ᩍ⫱ࢥࢫࢺ࡟ኚ໬ࡀぢࡽࢀ࡞࠸ࡇ࡜ࡀ GDP ᥎ィୖࡢၥ㢟࡟࡞ࡗ࡚࠸ࡿ࡜ࡢࡇ࡜࡛࠶ࡗࡓ.
2020 ᖺ࡟ࡘ࠸࡚ୡ⏺୰࡛࠾ࡑࡽࡃ⏕⏘ᛶ⤫ィ࠿ࡽࡳࡓሙྜࡢᩍ⫱ࡢຠ⋡ࡀୗࡀࡗ࡚࠸ࡿ࡜
࠸࠺ࡇ࡜ࡣᮏ᮶ఱࡽ࠿ࡢィ ࡀ⾜ࢃࢀࡿ࡭ࡁ࡞ࡢ࠿ࡶࡋࢀ࡞࠸. ࡲࡓ ONS ࡛ࡣᐃᮇⓗ࡞ࢭ࣑ࢼ࣮ࢆ⾜ࡗ࡚࠾ࡾ, ࡑࡇ࡛ࡣࣟࢵࢡࢲ࢘ࣥ࡟ࡼࡗ࡚ㄪᰝဨㄪᰝࡀ⮴࿨ⓗ࡞ᡴᧁࢆཷࡅ,௒ᚋࡣ࣐࢖ࢡࣟࢡࣞࢪࢵࢺ࣮࢝ࢻࢹ࣮ࢱࡢ౑⏝࡜࠸ࡗࡓẸ㛫⤫ィࡸࣇ࢕ࣥࢸࢵࢡࡢᢏ⾡ࡀࡼࡾ♫఍ⓗ࡟㔜どࡉࢀࡿ࡜࠸࠺ぢ᪉ࡀᗘࠎ♧ࡉࢀ࡚࠸ࡿ. ᪥ᮏࡢሙྜࡣࡍ࡛࡟ෆ㛶ᐁᡣࡀసᡂࡍࡿ RESAS, V-RESAS, e-Stat ࡟Ẹ㛫⤫ィࡶຍ࠼ࡽࢀࡿࡼ࠺࡟࡞ࡾ, Google ࡢ␿Ꮫࣔࢹࣝ࡟ᇶ࡙ࡃ㒔㐨ᗓ┴ูࡢ COVID-19 ឤᰁ⪅ᩘࡢண ್ࡀබ㛤ࡉࢀࡿࡼ࠺࡟࡞ࡗࡓ(URL
15).

Ϫ ࡴࡍࡧ
 2020 ᖺࡣ COVID-19 ࡟ࡼࡗ࡚኱ࡁ࡞♫఍ኚ㠉ࡀ㉳ࡁࡓᖺ࡛࠶ࡗࡓ. ྛᅜࡣㄪᰝဨㄪᰝ
ࡀࣟࢵࢡࢲ࢘ࣥ࡟ࡼࡗ࡚ᡴᧁࢆཷࡅࡿ࡜࠸ࡗࡓබⓗ⤫ィࡢ୍኱ኚ㠉ࢆ┠࡟ࡍࡿᖺ࡜࡞ࡗࡓ.
ᮏ✏࡛ࡣΰ࡜ࢇ࡜ࡍࡿ୰࡛⾜ࢃࢀࡓබⓗ⤫ィࢆ୰ᚰ࡜ࡋ࡚ࢧ࣮࣋࢖ࢆ⾜ࡗࡓ. ♫఍ࡢΰ஘ࡀ⃭ࡋ࠸ࡓࡵ, ࢖ࢠࣜࢫ࡞࡝ከࡃࡢᅜࡀྠᵝࡢࢧ࣮࣋࢖ࢆ⾜ࡗ࡚ࡁࡓࡀ, ୍㈏ࡋࡓ᪉㔪ࡢࡶ࡜࡟⾜࠼࡚࠸ࡿࡢ࡛ࡣ࡞ࡃ, ⥭ᛴ᫬ࡢΰ஘཰ྲྀࢆ┠ⓗ࡟࠶ࡃࡲ࡛ሙᙜࡓࡾⓗ࡞ᑐᛂ࡜࠸
࠺ࡢ࡟㏆࠸.
᪥ᮏࡢሙྜ, ᆅ㟈ࡸྎ㢼࡜࠸ࡗࡓ⅏ᐖ࡟័ࢀ࡚࠸ࡿࡇ࡜ࡸᾏእ࡜ẚ࡭࡚ẚ㍑ⓗឤᰁᣑ኱ࡀ㐜ࢀ࡚࠸ࡿࡇ࡜ࡶ࠶ࡾ, COVID-19 ࢆཷࡅ࡚ࡶබⓗ⤫ィࢩࢫࢸ࣒ࡣࡉ࡯࡝ᙳ㡪ࢆཷࡅ࡚
࠸࡞࠸. ឤᰁ⑕࡟Ẽࢆ௜ࡅ࡞ࡀࡽㄪᰝࢆ㏻ᖖ㏻ࡾ⾜࠺ࡇ࡜ࡀ࡛ࡁ࡚࠸ࡿ. ࡑࡢࡓࡵ, ୖグ࡛ࡲ࡜ࡵࡓ᪥ᮏࡢ᝟ሗࡣ⣽࠿࠸ᑐᛂ࡟⤊ጞࡋ࡚࠸ࡿෆᐜࡢࡶࡢࡤ࠿ࡾ࡜࡞ࡗ࡚࠸ࡿ. ୍᪉࡛ᾏእᶵ㛵ࡣࣟࢵࢡࢲ࢘ࣥᨻ⟇࡟ࡼࡗ࡚ඖࠎᴗົ⤫ィ࡟㢗ࡗ࡚ᙅࡗ࡚࠸ࡓබⓗ⤫ィࣇ࣮࣒ࣞࡀ❓ᆅ࡟㏣࠸ワࡵࡽࢀ, ࢡࣞࢪࢵࢺࢹ࣮ࢱ࡞࡝ࡢẸ㛫ࢹ࣮ࢱࡀὀ┠ࢆ㞟ࡵࡿࡇ࡜࡟࡞ࡗࡓ.
⊂༨⚗Ṇἲࡸಶே᝟ሗࡢಖㆤつไ࡟ࡼࡗ࡚ EU ࡢ GAFA ࡟ᑐࡍࡿ㢼ᙜࡓࡾࡀཝࡋࡃ࡞ࡗࡓ
ࡢࡶࢹ࣮ࢱࡢὶࢀࡀኚࢃࡗࡓࡇ࡜ࡀ୍ᅉ࡜࡞ࡗ࡚࠸ࡿ.

(20) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ

COVID-19 ࡟㛵ࡍࡿ⥙⨶ⓗ࡞ࢹ࣮ࢱ཰㞟ࡶྛᅜ࡛┒ࢇ࡟࠾ࡇ࡞ࢃࢀࡿࡼ࠺࡟࡞ࡗࡓ. ௒ᚋࡶឤᰁ⑕ࡢὶ⾜ࢆ๓ᥦ࡜ࡍࡿ࡜, බⓗ⤫ィ࡟ᑐࡋ࡚࣐࢖ࢡࣟࢡࣞࢪࢵࢺ࣮࢝ࢻࢹ࣮ࢱ,ࢫ࣐࣮ࢺࣇ࢛ࣥࡢ఩⨨᝟ሗࡢ࣑ࢡࣟࢹ࣮ࢱ࡜࠸ࡗࡓẸ㛫⤫ィࡢ㔜せᛶࡀ㧗ࡲࡿ. ୍᪉࡛,Ẹ㛫ࢹ࣮ࢱ࡟࡝ࡇࡲ࡛බⓗᛶ᱁ࢆồࡵࡿ࠿ࡶ㞴ࡋ࠸ၥ㢟ࢆࡣࡽࡴ. Ẹ㛫ࢹ࣮ࢱ࡟ᑐࡍࡿつไࡢᩚഛ➼ࡢ࣐ࢿࢪ࣓ࣥࢺࢆ࡝ࡢࡼ࠺࡞ᙧ࡛☜❧ࡍࡿ࠿ࡀྛᅜ࡛㔜せ࡞㆟㢟࡜࡞ࡿ࡜ࡳࡽࢀࡿ.
ὀ1) Ꮫ⏕ࡢ⌮ゎ࣭⣡ᚓ࡟㛵ࡋ࡚, ຍ࠼࡚ࠕᏛ⏕ࡢ⌮ゎ࡟ࡘ࠸࡚ࡢㄆ㆑ࡢ⌮⏤ࠖ࡜࠸࠺ㄪᰝ㡯┠ࡀ࠶ࡿࡀ, ࡇࢀࢆぢࡿ࡜, ከࡃࡢࠕ⌮⏤ࠖࡀᏛ⏕࡬ࡢㄪᰝࡸࣄ࢔ࣜࣥࢢࢆకࢃ࡞࠸୺
ほⓗ࡞ࡶࡢ࡛࠶ࡾ, ࡇࡢㄪᰝࢆࡶࡗ࡚࡝ࢀ࡯࡝ࡢᏛ⏕ࡀ⌧ᅾࡢ≧ἣ࡟⌮ゎ࣭⣡ᚓࢆࡋ࡚࠸ࡿࡢ࠿ࢆㄽࡌࡿࡢࡣ㞴ࡋ࠸.
ཧ⪃ᩥ⊩኱ᕝ୍ྖ࣭㧗ᯇಙΎ࣭ᒣᮏ᭷㐀㸪1974㸪ࠕ㛗ᮇ⤒῭⤫ィ㸸᥎ィ࡜ศᯒࠖ㸪኱ᕝ୍ྖ࣭⠛ཎ୕௦ᖹ࣭ᱵᮧཪḟ⦅ࠗᅜẸᡤᚓ࠘ᮾὒ⤒῭᪂ሗ♫㸬బ⸨ṇᗈ㸪2015㸪ࠗᅜໃㄪᰝ ᪥ᮏ♫఍ࡢⓒᖺ࠘ᒾἼ᭩ᗑ㸬
Sakuramoto, Takeshi, Satoru Hagino and Norihiko Yamano, 2020, “The COVID-19
impacts on statistics survey and estimation procedures in Japan.” ESCoE
Conference on Economic Measurement 2020 (EM2020), Thursday 17 September
2020, 11. 45-13. 15: Covid-19 Session B: Measuring the Impact of COVID on the
Economy.
ཧ⪃࢙࢘ࣈࢧ࢖ࢺ
1.

ཌ⏕ປാ┬, 2020(௧࿴㸰)ᖺᅜẸ⏕άᇶ♏ㄪᰝࡢ୰Ṇ࡟ࡘ࠸࡚2.

ཌ⏕ປാ┬, ௧࿴㸰ᖺ(2020)ேཱྀືែ⤫ィࡢᖺ㛫᥎ィ࡟ࡘ࠸࡚https://www. mhlw. go. jp/stf/newpage_10537. html 㸦௧࿴ 3 ᖺ 1 ᭶ 5 ᪥㸧https://www. mhlw. go. jp/stf/newpage_15591. html 㸦௧࿴ 3 ᖺ 1 ᭶ 5 ᪥㸧
3.

ཌ⏕ປാ┬, ௧࿴㸰ᖺẖ᭶໅ປ⤫ィㄪᰝ㸦≉ูㄪᰝ㸧ࡢ୰Ṇཬࡧ௦᭰ㄪᰝ㸦ᑠつᶍ஦ᴗᡤ໅ປ⤫ィㄪᰝ㸧ࡢᐇ᪋࡟ࡘ࠸࡚
https://www. mhlw. go. jp/toukei/oshirase/200804-02. html 㸦௧࿴ 3 ᖺ 1 ᭶ 5 ᪥㸧

4.

ᩥ㒊⛉Ꮫ┬, ௧࿴ 3 ᖺᗘ኱ᏛධᏛ⪅㑅ᢤ࡛ࡢ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ᑐ⟇࡟క࠺ྛ኱Ꮫ➼ࡢヨ㦂ᮇ᪥ཬࡧヨ㦂ᐇ᪋ୖࡢ㓄៖➼ࡢᑐᛂ≧ἣ࡟ࡘ࠸࡚
https://www. mext. go. jp/a_menu/koutou/koudai/detail/mext_00060. html 㸦௧࿴
2 ᖺ 12 ᭶ 29 ᪥㸧5.

ᩥ㒊⛉Ꮫ┬, ኱Ꮫ➼࡟࠾ࡅࡿᚋᮇ➼ࡢᤵᴗࡢᐇ᪋≧ἣ࡟㛵ࡍࡿㄪᰝhttps://www. mext. go. jp/content/20201223-mxt_kouhou01-000004520_01. pdf㸦௧࿴ 2 ᖺ 12 ᭶ 29 ᪥㸧6.

᪥ᮏᏛ⏕ᨭ᥼ᶵᵓ, ኱Ꮫ࣭ᆅ᪉බඹᅋయ➼ࡀ⾜࠺ዡᏛ㔠ไᗘ㹙◊✲ࣀ࣮ࢺ㹛᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ࢆཷࡅࡓ⤫ィసᡂᶵ㛵ࡢᑐᛂ (21)https://www. jasso. go. jp/about/statistics/shogaku_dantaiseido/index. html 㸦௧࿴
2 ᖺ 12 ᭶ 29 ᪥㸧7.

⥲ົ┬⤫ィᒁ, ᖹᡂ 27 ᖺᅜໃㄪᰝࡢ࢜ࣥࣛ࢖ࣥㄪᰝ࡟࠾ࡅࡿ࢖ࣥࢱ࣮ࢿࢵࢺᅇ⟅ୡᖏᩘཬࡧᅇ⟅⋡
https://www. stat. go. jp/data/kokusei/2015/jisshijoukyou/index. html 㸦௧࿴ 2 ᖺ 12
᭶ 28 ᪥㸧8.

⥲ົ┬⤫ィᒁ, ࠕ⥭ᛴ஦ែࡔ࠿ࡽࡇࡑ, බⓗ⤫ィ࡟࢚࣮ࣝࢆࠖ
https://www. stat. go. jp/data/guide/pdf/message. pdf 㸦௧࿴ 3 ᖺ 1 ᭶ 4 ᪥㸧

9.

⥲ົ┬⤫ィᒁ, ᅜໃㄪᰝ㸸࢖ࣥࢱ࣮ࢿࢵࢺᅇ⟅https://www. kokusei2020. go. jp/internet/index. html 㸦௧࿴ 2 ᖺ 12 ᭶ 28 ᪥㸧

10. ⥲ົ┬⤫ィᒁ, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ࡢᙳ㡪ୗ࡟࠾ࡅࡿྛ✀⤒῭⤫ィㄪᰝࡢᐇ᪋
https://www. stat. go. jp/data/mssi/covid-19_Keizai. html 㸦௧࿴ 3 ᖺ 1 ᭶ 4 ᪥㸧
11. ⥲ົ┬⤫ィᒁ, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ᑐ⟇ࢆ㋃ࡲ࠼ࡓ⤒ᖖㄪᰝࡢᐇ᪋㸦ປാຊㄪᰝ࣭ᐙィㄪᰝ࣭ᑠ኎≀౯⤫ィㄪᰝ㸧
https://www. stat. go. jp/data/guide/covid-19. html 㸦௧࿴ 3 ᖺ 1 ᭶ 4 ᪥㸧
12. ⥲ົ┬⤫ィᒁ, ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕ᑐ⟇ࢆ㋃ࡲ࠼ࡓ௧࿴㸰ᖺᅜໃㄪᰝࡢᐇ᪋࡟
ࡘ࠸࡚
https://www. stat. go. jp/data/kokusei/2020/covid-19. html 㸦௧࿴ 3 ᖺ 1 ᭶ 4 ᪥㸧
13. Eurostat, COVID-19 AND EUROPEAN STATISTICS
https://ec. europa. eu/eurostat/help/faq/covid-19 㸦௧࿴ 3 ᖺ 1 ᭶ 7 ᪥㸧
14. Eurostat, COVID-19: SUPPORT FOR STATISTICIANS
https://ec. europa. eu/eurostat/data/metadata/covid-19-support-for-statisticians㸦௧࿴ 3 ᖺ 1 ᭶ 7 ᪥㸧
15. Google ࠕCOVID-19 ឤᰁண(᪥ᮏ∧)ࠖ

https://datastudio. google. com/reporting/8224d512-a76e-4d38-91c1935ba119eb8f/page/4KwoB
16. Organisation for Economic Co-operation and Development, Impact of COVID-19
crisis on official statistics: business continuity of official statistics
https://unece. org/fileadmin/DAM/stats/documents/ece/ces/2020/SDDCSSP_2020_6. en. pdf 㸦௧࿴ 3 ᖺ 1 ᭶ 7 ᪥㸧
17. United Nations, Department of Economic and Social Affairs Statistics࣭COVID-19
response
https://covid-19-response. unstatshub. org/ 㸦௧࿴ 3 ᖺ 1 ᭶ 7 ᪥㸧(22) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ

Summary

The Response of the Administrative Organization Producing
Official Statistics in COVID-19 Crisis
Shinichi Hamamoto
Shogo Nishibayashi
Takeshi Sakuramoto
The purpose of this paper is to survey how the administrative organization has
responded to COVID-19 crisis, especially from the viewpoint of official statistics. As
COVID-19 has spread across the society, official statistical services which do notcontribute to the spread have been required. To prevent the spread of infection,
appropriate understanding about the situation is required, and each ministry andagency has been required to understand the situation of their own fields and to makeprevention policies.
In this paper, we will focus on the representative case of administrative
organizations and survey how they have responded to COVID-19 crisis. In addition tothis, we will also sort out the policies which have been implemented and will be needed
for statistical research for the production of official statistics. Finally, we will consider
how official statistics research should be conducted in an emergency situation.
Key words: COVID-19 crisis, preventing the spread of infection, official statistics
research, the response of administrative organization

㹙㈨ᩱ㹛⥲ົ┬⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ཬࡧ࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮ฟᙇሗ࿌ (23)

ࠓ㈨ᩱࠔ⥲ົ┬⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ཬࡧ࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮ฟᙇሗ࿌1Ḉᮏ ೺
࠙せ᪨ࠚ 2020 ᖺ 3 ᭶࡟࿴ḷᒣ┴࡟࠶ࡿ⥲ົ┬⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ཬࡧ࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮ࢆḈᮏࡀᑐ㠃࡛ゼၥࡉࡏ࡚࠸ࡓࡔࡁࠊࢭࣥࢱ࣮ࡢᙺ๭࡜ᴗົ࡟ࡘ࠸࡚⤂௓࠸ࡓࡔ࠸ࡓࠋᮏ✏ࡣฟᙇሗ࿌࡛࠶ࡿࠋ⥲ົ┬ࡣᆅ᪉⛣㌿ࡢ᪉㔪ࢆཷࡅ࡚⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ࢆタ⨨ࡋࠊ࿴ḷᒣ┴ࡶྠࡌ࢜ࣇ࢕ࢫ࡟⤌⧊ࢆ᪂タࡋࡓࠋᅜ࡜ᆅ᪉ࡢ㐃ᦠ⤌⧊ࢆ㏻ࡌ࡚す᪥ᮏ࡛ᅜ⮬ࡽ㐠Ⴀࡍࡿ࢜ࣥࢧ࢖ࢺ᪋タࡸ࣑ࢡࣟࢹ࣮ࢱࡢ฼⏝࣭┦ㄯࠊす᪥ᮏᆅᇦࢆ୰ᚰ࡜ࡋࡓ⾜ᨻ࡬ࡢᨭ᥼ࠊẸ㛫௻ᴗࡸ⾜ᨻᶵ㛵࠿ࡽ㡸࠿ࡗࡓࢹ࣮ࢱ
ࡢศᯒ࡜࠸ࡗࡓᖜᗈ࠸ᴗົࢆ࢝ࣂ࣮ࡋ࡚࠸ࡿࠋࡇࢀࡲ࡛す᪥ᮏࡣᒣࡸᾏ࡟ࡼࡗ࡚ࡑࢀࡒࢀࡢᆅᇦྠኈࡢ⾜ࡁ᮶ࡸᮾி࡜ࡢ ᮶ࡀ኱ኚ࡛࠶ࡗࡓࡀࠊᑡ࡞ࡃ࡜ࡶ㛵すᅪࡢ⤫ィ㒊ᒁ࡟࡜ࡗ࡚ࡣ฼౽ᛶࡢྥୖࡀᮇᚅࡉࢀ
ࡿࠋࡲࡓ⤫ィᒁࡀᆅ᪉⮬἞యࡸእ㒊ࡢពぢࢆ┤᥋⪺ࡁࠊࡸࡾྲྀࡾࡢ୰࠿ࡽពぢ㞟⣙ࡍࡿᙺ๭ࢆᢸ࠺ࡇ࡜࡛
⤫ィ⾜ᨻࢧ࣮ࣅࢫࡀᨵၿࡍࡿຠᯝࡀᮇᚅࡉࢀࡿࠋ
࣮࣮࢟࣡ࢻ : ฟᙇሗ࿌㸪⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮㸪࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮ࠊ࢜ࣥࢧ࢖ࢺ᪋タ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮㸦⥲ົ┬㸧ࡢ࢜ࣥࢧ࢖ࢺ᪋タࡢぢᏛ࠾ࡼࡧࣄࣖࣜࣥࢢ
ㅰ㎡
2020 ᖺ 3 ᭶࡟᫬㛫ࢆ㉸㐣ࡋ࡚࢖ࣥࢱࣅ࣮ࣗ࡟ࡈᑐᛂ࠸ࡓࡔ࠸ࡓࠊ㇂㐨ṇኴ㑻Ặ(⥲ົ┬⤫ィᒁ࣭⊂❧⾜ᨻἲே⤫ィࢭࣥࢱ࣮ ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮࣭๓ࢭࣥࢱ࣮㛗)ࠊᫍ㔝᐀⾜Ặ(⥲ົ┬⤫ィᒁ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮࣭ࢭࣥࢱ࣮㛗⿵బ)ࠊ୰ෆၨᩥẶ(࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮࣭ࢭࣥࢱ࣮㛗)ࠊᖹ஭ඞᑦẶ(࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮࣭୺௵)ࠊ
ཎ✏࡟ࡈᣦ᦬࠸ࡓࡔ࠸ࡓ㧗㒊໏Ặ(⥲ົ┬⤫ィᒁ࣭⊂❧⾜ᨻἲே⤫ィࢭࣥࢱ࣮ ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮࣭⌧ࢭࣥࢱ࣮㛗)ࠊᅜ࣭┴ࢭࣥࢱ࣮ࡢⓙᵝ࡟኱ኚឤㅰࡍࡿࠋ

1௨ୗྡ⛠ࡀ㛗࠸ࡓࡵࠊ␎ࡍࠋ

⥲ົ┬⤫ィᒁ࣭⊂❧⾜ᨻἲே⤫ィࢭࣥࢱ࣮ ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮Ѝᅜࢭࣥࢱ࣮
࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮Ѝ┴ࢭࣥࢱ࣮

(24) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ୧ࢭࣥࢱ࣮ෆ(⥲ົ┬⤫ィᒁ࣭⊂❧⾜ᨻἲே⤫ィࢭࣥࢱ࣮ ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ࠊ࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮)࡟࡚ࠊᕥ࠿ࡽ୰ෆẶࠊ➹⪅ࠊ㇂㐨ẶϨ ᅜ࣭┴ࢭࣥࢱ࣮ࡢᴫせ1㸬࿴ḷᒣ࡬ࡢฟᙇᴫせ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁ⑕࡛ᐈ⯪࠿ࡽྛᆅ࡟⑓Ẽࡀୖ㝣ࡋࡼ࠺࡜ࡋ࡚࠸ࡓ᫬ᮇ࡟ 1 ᫬㛫࡯࡝࿴ḷᒣ┴࡟࠶ࡿ⤫ィᒁചୗࡢ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮࡜┴ࡢ᥎㐍ࢭࣥࢱ࣮ࢆゼၥࡉࡏ࡚࠸ࡓࡔ࠸ࡓࠋࡇࡢཎ✏ࡣࡑࡢ᫬࡟ࡲ࡜ࡵࡓሗ࿌ࢆ࣮࣋ࢫ࡟ࡲ࡜ࡵࡉࡏ࡚࠸ࡓࡔ࠸ࡓࡶ
ࡢ࡛ࠊฟᙇሗ࿌࡛࠶ࡿࠋᙜ᫬ࡣឤᰁ⑕ࡢࡇ࡜ࡀࡲࡔࢃ࠿ࡽ࡞࠸᫬ᮇ࡛ࠊ࣐ࢫࢡࡀ᭷ຠ࡛࠶ࡿ
࡜࠸࠺᝟ሗࡀᖖ㆑࡟࡞ࡗ࡚࠸࡞࠸᫬࡛ࠊ࣐ࢫࢡࡸឤᰁ⑕ᑐ⟇ࢢࢵࢬࡀ඲ᅜⓗ࡟ᡭ࡟ධࡽ࡞
࠸≧ἣୗ࡛࠶ࡗࡓࠋࡲࡓᏛෆ࡛ࡣฟᙇࢆṆࡵࡿືࡁࡶฟ࡚࠸࡞࠸ࢥࣟࢼ๓ࡢࡈࡃᬑ㏻ࡢ᪥ᖖ⏕άୗ࡟࠶ࡗࡓࠋ
ᅜ࣭┴ࢭࣥࢱ࣮ࡢࢧ࣮ࣅࢫ࡜ᒎ㛤࡟ࡘ࠸࡚ㄝ᫂ࢆཷࡅࠊᡤࠎ࡛㉁ၥࡍࡿᙧᘧ࡛ࣄࣖࣜࣥࢢ
ࡋࡓࠋ᪤࡟㇂㐨࣭୰ෆ (2020)࡟ᮏࣄࣖࣜࣥࢢ࡜ࡼࡃఝࡓ࢖ࣥࢱࣅ࣮ࣗグ஦ࡀฟ࡚࠸ࡿࡓࡵࠊ
ෆᐜࡀ࡞ࡿ࡭ࡃ㔜」ࡋ࡞࠸ࡼ࠺࡟ࡇࡢሗ࿌ࢆࡲ࡜ࡵࡓࠋࡈ⯆࿡ࡀ࠶ࡿ᪉ࡣ㇂㐨࣭୰ෆ (2020)࡟ࡣᅜ࡜⮬἞యࡀ⾜ᨻࢹ࣮ࢱࢆྵࡴࢹ࣮ࢱ฼ά⏝࡛ࠊ᪉ྥᛶ࡜ヨ⾜㘒ㄗࡋ࡚࠸ࡿ⌧≧ࡀࡼࡃࢃ࠿ࡿࡓࡵࠊࡑࡕࡽࡢグ஦ࡶㄞࡴࡇ࡜ࢆ࠾ࡍࡍࡵࡍࡿࠋ
♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮ࡢ⣖せⓎ⾜ࡀᖺ࡟ 1 ᗘ࡛࠶ࡿ㛵ಀ࡛ࠊฟᙇ᪥࠿ࡽ⣙ 1 ᖺ⤒㐣ࡋ࡚࠸ࡿࠋᛂᑐࡋࡓᢸᙜ⪅ࡓࡕࡣே஦␗ືࡋ࡚࠸ࡿࢣ࣮ࢫࡀ࠶ࡿࠋࡑࡢࡓࡵࠊ⌧ᅾࡢ᝟ሗ࡛
ࡣ࡞ࡃࠊᇶᮏⓗ࡟ฟᙇ᫬ࡢ᝟ሗ࡜࡞ࡿࡇ࡜࠾チࡋ㢪࠸ࡓ࠸ࠋゼၥ᪥㸸2020 ᖺ 3 ᭶ 3 ᪥
ᛂᑐ 4 ྡ㸸㇂㐨ṇኴ㑻Ặ(⥲ົ┬⤫ィᒁ࣭⊂❧⾜ᨻἲே⤫ィࢭࣥࢱ࣮ ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮࣭ࢭࣥࢱ࣮㛗)ࠊᫍ㔝᐀⾜Ặ(⥲ົ┬⤫ィᒁ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮࣭ࢭࣥࢱ࣮㛗⿵㹙㈨ᩱ㹛⥲ົ┬⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ཬࡧ࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮ฟᙇሗ࿌ (25)బ)ࠊ୰ෆၨᩥẶ(࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮࣭ࢭࣥࢱ࣮㛗)ࠊᖹ஭ඞᑦẶ(࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮࣭୺௵) ͤ⫪᭩ࡁࡣᙜ᫬ࡢࡶࡢ
2㸬࿴ḷᒣ┴ࡢᅜ┴ࢭࣥࢱ࣮ࡢ⤌⧊యไ༡ᾏ࿴ḷᒣᕷ㥐ࡢ㞄ࣅࣝ࡟ᅜ࣭┴ࡢ 2 ࡘࡢࢭࣥࢱ࣮ࡀ୍⥴࡟ධࡗ࡚࠸ࡿࠋゼၥ᫬ࡣࢭࣥ
ࢱ࣮࿘㎶ࡣࡸࡸᐢࡋ࠸࡜ࡇࢁ࡛࠶ࡗࡓࡀࠊ෌㛤Ⓨࡀ㐍ࡴ࡜ᆅᇦࡢ฼౽ᛶࡀቑࡍ࡜ࡢࡇ࡜࡛
࠶ࡗࡓࠋࢭࣥࢱ࣮࡟ࡣ࢜ࣥࢧ࢖ࢺ᪋タࠊࢥࣥࢧࣝࢸ࢕ࣥࢢࢫ࣮࣌ࢫࠊ◊ಟࢫ࣮࣌ࢫࡀేタࡉࢀ࡚࠸ࡿࡓࡵࠊከᵝ࡞┠ⓗ࡟ᑐᛂ࡛ࡁࡿࡼ࠺࡟࡞ࡗ࡚࠸ࡿࠋ2017 ᖺ࡟࢝ࢼࢲ⤫ィᒁࢆゼၥࡋࡓ࡜ࡁ࡟ᕞᨻᗓࡢ⤫ィసᡂࡀ࢝ࢼࢲ⤫ィᒁෆ࡛⾜ࢃࢀ࡚࠸ࡿࡇ࡜ࢆ⪺ࡁࠊᅜ࡜ᆅ᪉࡜ࡢ
㐃ᦠࡀᐦ࡛࠶ࡿ༳㇟ࢆᢪ࠸ࡓࠋᅜ࡟ࡼࡗ࡚ࡣࡇࡢࡼ࠺࡟ᅜ࡜ᆅ᪉࡜ࡢ㛵ಀࡣࡉࡲࡊࡲ࡛࠶
ࡿࡓࡵࠊ࿴ḷᒣࡢࢭࣥࢱ࣮ࡣࡇ࠺ࡋࡓᙺ๭࡟ఝ࡚࠸ࡿ࡜࠸࠺༳㇟ࢆཷࡅࡿࡀࠊࡲࡔ⤌⧊᪂タ࠿ࡽ᪥ࡀὸ࠸ࡓࡵࠊᑗ᮶ࡢⓎᒎ࡟ᮇᚅࢆᢪ࠿ࡏࡿࡶࡢࡀ࠶ࡿࠋ
᭱㏆࡛ࡣከࡃࡢᾏእどᐹ⪅ࡀከࡃゼၥࡍࡿࢥ࣮ࢫ࡟࡞ࡗ࡚ࡁ࡚࠸ࡿ࡜ࡢࡇ࡜࡛࠶ࡗࡓࠋ
2018 ᖺ 4 ᭶࡟ 2 ࡘࡢࢭࣥࢱ࣮ࡣⓎ㊊ࡋࡓࠋᅜࡢయไࡣࡸࡸ」㞧࡛࠶ࡿࠋᮾி࠿ࡽᆅ᪉࡬ࡢ
⛣㌿࡛࠶ࡿࡀࠊ㒊ᒁ⮬యࡀ↓࠿ࡗࡓࡢ࡛ᴗົࡢ᪂タ࡜࡞ࡗ࡚࠸࡚ࠊ⤫ィᒁ࡜⤫ィࢭࣥࢱ࣮ࠊ
ࡑࢀࡒࢀ࡟฼ά⏝ࢭࣥࢱ࣮ࡀ࠶ࡿ఩⨨࡙ࡅ࡛ࠊศ࠿ࡾ࡟ࡃ࠸ࡢ࡛୧⪅ేグࡋ࡚࠸ࡿࠋ12 ྡࡢ⫋ဨ࡟ 3 ྡࡢ㠀ᖖ໅ࡢ◊✲⪅ࡀ࠸ࡿࠋ ┴ࢭࣥࢱ࣮ࡣ௻⏬㒊࡟఩⨨௜ࡅࡽࢀ࡚࠸ࡿࠋ௻⏬㒊࡟ࡣ┴㛗ᮇ⥲ྜィ⏬ࢆ❧᱌ࡋ࡚࠸ࡿ
௻⏬⥲ົㄢ࡜ㄪᰝࢆᢸᙜࡍࡿㄪᰝ⤫ィㄢࡀ࠶ࡾࠊࡇࡢ௻⏬⥲ົㄢ࡟ᡃࠎࡣ⌜࡜ࡋ࡚఩⨨࡙ࡅࡽࢀ࡚࠸ࡿࠋ⾜ᨻഃࡀ 3 ྡࠊ௵ᮇ௜ࡁ◊✲ဨ 2 ྡ(ࡓࡔࡋࠊ1 ྡḞဨ)࡜࡞ࡗ࡚࠸࡚ࠊ኱Ꮫ
㝔༞⪅ࡀ⤫ィ࣭⾜ᨻࢹ࣮ࢱࡢศᯒࡢᐇົࢆ⤒㦂ࡋࠊ෌ࡧ኱Ꮫࡢ◊✲ᐊ࡟ᡠࡿ࡜࠸࠺ࣇ࣮࣒ࣞ
ࢆ᝿ᐃࡋ࡚࠸ࡿࡓࡵࠊ(ࢸࢽࣗ࢔࡟ࡏࡎ)௵ᮇ௜ࡁ࡜ࡋ࡚࠸ࡿࡀࠊເ㞟࡟ⱞᡓࡋ࡚࠸ࡿࠋ⁠㈡
኱Ꮫࡸ࿴ḷᒣ኱Ꮫ࡛ேᮦ⫱ᡂࡀ㐍ࡳࠊࡇࡢศ㔝࡛ேᮦ౪⤥ࡀ㐍ࢇ࡛┴࡟ࡶࡑ࠺ࡋࡓேᮦࡀ
᮶ࡿࡇ࡜࡟ᮇᚅࡋ࡚࠸ࡿࠋࡇࢀ௨እ࡟㠀ᖖ໅࡛◊✲⪅ࡀ㝶᫬ᴗົ࡟ཧຍࡋ࡚࠸ࡿࠋ ⤫ィࢹ࣮ࢱ࡜⾜ᨻࢹ࣮ࢱ࡟ศࡅࡿ࡜ࠊ┴࡛ࡣྲྀ⤌᪉㔪➼ࢆࡲ࡜ࡵࡓࢹ࣮ࢱ฼ά⏝᥎㐍ࣉࣛࣥࢆ⟇ᐃࡋࠊࡑࡢ┠ᶆࢆ㐩ᡂࡍࡿࡓࡵࡢලయⓗ࡞ィ⏬࡜ࡋ࡚୰ᮇィ⏬ࢆᐃࡵ࡚࠸ࡿࠋᅜໃ
ㄪᰝࡢ࣑ࢡࣟࢹ࣮ࢱࡢ฼⏝࡜࠸ࡗࡓㄢ㢟ࡀ࠶ࡿࠋ୍᪉⾜ᨻࢹ࣮ࢱࡣࠊ࿴ḷᒣ┴(2019)࡟♧ࡍࡼ࠺࡟ 600 ✀ࡢࢹ࣮ࢱࢆᩚ⌮ࡋࠊ኱Ꮫ࡞࡝࡟ᥦ౪ࡋ࡚࡝ࢇ࡞ࡇ࡜ࡀ࡛ࡁࡿࡢ࠿ࠊ᳨ウࢆ㐍ࡵ࡚࠸ࡿ࡜ࡇࢁ࡛࠶ࡿࠋ⌧ᐇ࡟ࡣㄪᰝ⚊ࡀᕷ⏫ᮧ࡟᭷ࡗࡓࡾࠊ࠶ࡿ᫬Ⅼࡢࢹ࣮ࢱ࡛᭱᪂࡛࡞
࠿ࡗࡓࡾ࡜ࠊ࡞࠿࡞࠿ཝࡋ࠸ࡀ฼⏝⎔ቃࢆㄪᰝࡋࠊᩚഛࡋ࡚࠸ࡃࡼ࠺࡟ࡋࡓࠋ࿴ḷᒣ┴ࡢ⾜ᨻࢹ࣮ࢱࡣ 11 ࡢ㒊ᒁู࡟ࢹ࣮ࢱᩘࡸ஧ḟⓗ฼⏝ࡢ⛬ᗘࠊࢹ࣮ࢱࡢᴫせ࡟ຍ࠼ࠊಶูࢹ࣮ࢱ
ࡢࣜࢫࢺ࡜ヲሗࢆ┴ᗇෆ࡛⤌⧊ⓗ࡟ㄪ࡭ࠊࡲ࡜ࡵࡓ㈨ᩱ࡛ㄝ᫂ࢆཷࡅࡓࠋ㠀බ㛤᝟ሗࢆ୍ᶫ኱Ꮫ⤒῭◊✲ᡤ࡟ᥦ౪ࡋ࡚ࠊඹྠ◊✲ࡍࡿࣇ࣮࣒ࣞࢆᩚ࠼࡚࠸ࡿࡇ࡜࡛ࠊ▱ࡽࢀ࡚࠸ࡿࠋ
୧⪅ࡢ㛫࡟≉ẁ༠ᐃࡸྲྀࡾỴࡵࡣ↓࠸ࡶࡢࡢࠊᅜ࣭┴ࢭࣥࢱ࣮ࡀ୍⥴࡟ື࠸࡚࠾ࡾࠊᅜࡢ
ᶵ⬟ࡢᆅ᪉⛣㌿࡜᪉㔪ࡢ୍⮴࡜࠸࠺ཎ๎ࡀᴗົࡢ᥎㐍ຊ࡜࡞ࡗ࡚࠸ࡿࡼ࠺࡞༳㇟ࢆཷࡅࡓࠋNAFTA ࡢࣇ࣮࣒࡛ࣞ࢔࣓࣭ࣜ࢝࢝ࢼࢲ࣭࣓࢟ࢩࢥࡀ⤫ィศ㢮ࡢᩚഛࡸ㈠᫆ࢹ࣮ࢱࡢࡸࡾྲྀ
ࡾ࡛༠ຊࡋ࡚࠸ࡿࡇ࡜ࡀ▱ࡽࢀ࡚࠸ࡿࡀࠊᐇࡣ 2019 ᖺ࡟➹⪅ࡀ࢔࣓ࣜ࢝ࢭࣥࢧࢫᒁࡢᢸᙜ
⪅࡟┤᥋ྲྀᮦࡋ࡚ࠊNAFTA ຍ┕ᅜ㛫ࡢ⤫ィ༠ຊ࡟ࡣἲⓗ࡞᰿ᣐࡣ࡞࠸࡜࠸࠺ࡇ࡜࡛࠶ࡗࡓࠋ
୍᪉࡛ EU ࡛ࡣ EU ᣦ௧࡟ࡼࡗ࡚ຍ┕ᅜ㛫ࡢ༠ຊࢆᙉไຊ࡛⦡ࡗ࡚࠸ࡿࠋࡇࡢ㐪࠸ࡣ༠ຊࡍࡿᆅᇦࡢከࡉ࡛࠶ࡿࠋ࿴ḷᒣࡢࢣ࣮ࢫࡣ༠ຊࡢᙜ஦⪅ࡀᑡ࡞࠸ሙྜ࡟ᶵ⬟ࡍࡿࡀࠊᙜ஦⪅(26) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕࡀከࡃ࡞ࡾࠊ」㞧࡟࡞ࡿ࡜࠸ࡃࡘ࠿ࡢẁ㝵ࢆ⤒࡚ᩚ⌮ࡉࢀ࡚ࡃࡿ࠿ࡶࡋࢀ࡞࠸࡜࠸࠺༳㇟ࢆཷࡅࡓࠋϩ ࿴ḷᒣࢭࣥࢱ࣮࡜࣑ࢡࣟࢹ࣮ࢱ࣭ᆅᇦ㐃ᦠ
1㸬࣑ࢡࣟࢹ࣮ࢱࡢ฼ά⏝≧ἣ஧ḟⓗ฼⏝ไᗘࢆ┬ᗇู࡟⦪๭ࡾ࡛᥎㐍ࡍࡿࡇ࡜࡟㝈⏺ࡀ࠶ࡿࡓࡵࠊ┬ᗇᶓ᩿ⓗ࡞ࢧ࣮ࣅࢫᥦ౪ࢆ⾜࠺ࡓࡵ࡟⤫ィࢭࣥࢱ࣮ࡀ୰ᚰ࡜࡞ࡗ࡚ miripo ࢆ❧ࡕୖࡆࡓࠋྠࢧ࢖ࢺࡢ࣮࣌
ࢪࣅ࣮ࣗࡣ᭶ 1.5 ୓௳ࠊ⏦ㄳ๓࡟ᩘᅇ฼⏝ࡉࢀ࡚࠸ࡓ࡜ࡋ࡚ࡶࢲ࣮࢘ࣥࣟࢻ 6 ༓௳࡜ࠊ฼⏝ࡀᗈࡀࡗ࡚ࡁ࡚࠸ࡿࠋ2019 ᖺ 5 ᭶ࡢ⤫ィἲᨵṇᚋࠊ␲ఝ࣑ࢡ࡛ࣟࡣࣉࣟࢢ࣒ࣛࢆࡑࡢࡲࡲ
᭩ࡅ࡞࠸࡜࠸࠺ၥ㢟ࡀ࠶ࡿࡓࡵࠊࣉࣟࢢ࣒ࣛసᡂ࡟⪏࠼ࡽࢀࡿࢲ࣑࣮ࢹ࣮ࢱࡢ㛤Ⓨࢆ㐍ࡵ࡚࠸ࡿࠋ2㸬฼ά⏝ࢭࣥࢱ࣮࡜⤌⧊㐃ᦠ௚⤌⧊ࡢ࠺ࡕࠊ୺࡟⮬἞య࡜ࡢ㐃ᦠࡀ୺ຊ࡛ࠊ኱ᏛࡸẸ㛫௻ᴗ࡜ࡣࢹ࣮ࢱࡢࣜࢫࢡ⟶⌮ࡸேᮦ⫱ᡂ࡞࡝ᚲせ࡟ᛂࡌ࡚ᐇ᪋ࡋ࡚࠸ࡿࠋ௚⤌⧊࡜ࡢ㐃ᦠ࡟ࡣ 2 ✀㢮࠶ࡾࠊ᮲౛࡛ไ⣙ࡀ࠶ࡿࢣ࣮ࢫ࡜ࡑ࠺ࡋࡓไ⣙ࡀ↓࠸ࢣ࣮ࢫ࡛࠶ࡿࠋ๓⪅ࡣ⮬἞య࡟⤫ィ᮲౛ࠊಶே᝟ሗಖㆤ᮲
౛ࡀ࠶ࡾࠊࢹ࣮ࢱࡢ฼⏝⏦ㄳ࠿ࡽᐇ㝿࡟฼⏝࡛ࡁࡿࡼ࠺࡟࡞ࡿࡲ࡛ᑂᰝ఍ࢆ㏻ࡿ࡞࡝ࡢ኱
ኚ࡞ᡭ㛫࡜᫬㛫ࡀ࠿࠿ࡿࠋ᭱ప࡛ࡶ༙ᖺ௨ୖࡣ࠿࠿ࡿࡢ࡛ࠊࢹ࣮ࢱࡢ฼ά⏝ࡢㄢ㢟࡜࡞ࡗ࡚࠸ࡿࠋᚋ⪅ࡣ≉࡟ไ⣙ࡀ↓࠸ࡓࡵࠊࢣ࣮ࢫࣂ࢖ࢣ࣮ࢫ࡜࡞ࡿࠋ⮬἞య㤳⬻ࡢ஢ゎࢆᚓࡿࡔࡅ
ࡔࡀࠊ஦ᴗࡢ⥅⥆ᛶ࡜ࢹ࣮ࢱࡢࣜࢫࢡ⟶⌮ࡢࡓࡵࠊࣇ࣮࣒ࣞࢆᩚ࠼ࡓ᪉ࡀඃࢀ࡚࠸ࡿࠋ஦౛
࡜ࡋ࡚ࡣ࿴ḷᒣ┴ෆࡢேཱྀ⛣ືࡢศᯒࡸ኱㜰ᦤὠᕷࡢ௓ㆤಖ㝤࡜ᅜໃㄪᰝࡢศᯒࡀᣲࡆࡽ
ࢀࡿࠋ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ࡢ HP(https://www.stat.go.jp/rikatsuyou/)࡛ࡣࡇ࠺ࡋࡓ㐃ᦠ࡟ࡘ࠸࡚ᩘከࡃࡢ᝟ሗࢆⓎಙࡋ࡚࠸ࡿࠋ
3㸬Ẹ㛫௻ᴗ࡜ࡢ㐃ᦠ┴࡛ࡣᙜึẸ㛫௻ᴗ࡟ࢹ࣮ࢱࢆᥦ౪࠸ࡓࡔ࠸࡚ࠊศᯒࡍࡿࣇ࣮࣒ࣞࢆᛮ࠸ᥥ࠸࡚࠸ࡓࡀࠊ
ᐇ㝿࡟஺΅ࡋ࡚ࡳࡿ࡜ࠊ኱ኚཝࡋ࠸ࠋㄪᰝ⚊᝟ሗࡣẸ㛫௻ᴗ࡛ࡣ฼⏝࡛ࡁ࡞࠸ࡓࡵࠊ༏ྡࢹ
࣮ࢱ࡜࠸ࡗࡓᕤኵࡀᚲせ࡛࠶ࡿࡀࠊࢭࣥࢱ࣮࡛ࡣ༏ྡࢹ࣮ࢱࡣ┤᥋ᡭ᥃ࡅ࡚࠸࡞࠸ࠋẸ㛫௻ᴗഃ࡟┤᥋ࡢ࣓ࣜࢵࢺࡀ↓࠸ࡓࡵࠊ୧⪅ࡢ㐃ᦠࡢㄢ㢟࡜࡞ࡗ࡚࠸ࡿࠋࡋ࠿ࡋࠊࢹ࣮ࢱศᯒ࡟
ࡓࡅࡓேᮦࡢ⫱ᡂࡣẸ㛫௻ᴗࡶඹ㏻ࡢㄢ㢟࡜࡞ࡗ࡚࠸ࡿࡓࡵࠊேᮦ⫱ᡂ࡛ࡣ㐃ᦠࡋ࡚࠸ࡃ
వᆅࡀ࠶ࡿࠋࡲࡓ࿴ḷᒣ኱Ꮫ࡛ࡣࢹ࣮ࢱࢧ࢖࢚ࣥࢸ࢕ࢫࢺࢆ⫱࡚ࡿࣉࣟࢪ࢙ࢡࢺࢆ⾜ࡗ࡚࠸࡚ࠊࢫ࣮ࣃ࣮࠿ࡽ POS ࢹ࣮ࢱࢆᥦ౪࠸ࡓࡔ࠸࡚㣗ရࣟࢫࢆῶࡽࡍྲྀࡾ⤌ࡳࢆ⾜ࡗ࡚࠸ࡿࠋ
ࡇࡢྲྀࡾ⤌ࡳࡣ⌧ᅾ┴ࡢබເᆺ◊✲࡟ᣲࡆࡽࢀ࡚࠸࡚ࠊ㈗㔜࡞Ẹ㛫࡜ࡢ㐃ᦠ஦ᴗ࡜࡞ࡗ࡚
࠸ࡿࠋẸ㛫௻ᴗ࡟ࢹ࣮ࢱࡢ฼ά⏝ࢆ⪺ࡃጤクㄪᰝࢆ⾜ࡗࡓ⤖ᯝࠊ௻ᴗᅛ᭷ࡢศ㔝࿘㎶࡛ࢹ࣮ࢱࢆ฼⏝ࡋ࡚࠸ࡿࡀࠊᗈ⠊ᅖ࡞฼⏝࡟ࡣࡘ࡞ࡀࡗ࡚࠾ࡽࡎࠊ⤌⧊ⓗ࡞ㄢ㢟ࡀ࠶ࡿࡼ࠺ࡔࠋ ࡇ࠺ࡋࡓࣅࢵࢢࢹ࣮ࢱࡢၥ㢟࡟✺◚ཱྀࢆᅗࡿࡓࡵࠊ౛࠼ࡤᮾி኱Ꮫࡢ⛅ᒣຓᩍࡽ࡜ࡢ◊✲࡛ࡣ௻ᴗྥࡅศᯒࢶ࣮ࣝࢆẸ㛫௻ᴗ࡟ᥦ౪ࡋ࡚ࠊศᯒࢆ㏻ࡌ࡚⤖ᯝⓗ࡟ᕷ⏫ᮧ࡞࡝ࡢ⮬㹙㈨ᩱ㹛⥲ົ┬⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ཬࡧ࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮ฟᙇሗ࿌ (27)἞య࡜ࡢ㐃ᦠࡀ㐍ࡴ◊✲ࢆᐇ᪋ࡋ࡚࠸ࡓࡾࠊ୍ᶫ኱Ꮫࡢⓑᕝᩍᤵࡽࡢඹྠ◊✲࡛ࡣ௻ᴗࡢ
⛎ᐦ᝟ሗࢆಖㆤࡋࡓࡲࡲศᯒ࡛ࡁࡿ⛎ᐦィ⟬ࡢᢏ⾡ࢆ౑ࡗࡓ◊✲ࡢ᥎㐍ࡶ⾜ࡗ࡚࠸ࡿࠋࡇ
ࢀ௨እ࡟┴ࢭࣥࢱ࣮࡛ࡣ NEC ࡀඖࠎ㜵⅏ྥࡅ࡟㛤Ⓨࡋࡓࢸ࢟ࢫࢺ࣐࢖ࢽࣥࢢࢶ࣮ࣝࢆほගྥࡅ࡟㌿⏝ࡋ࡚ࠊศᯒࡍࡿヨࡳࢆ⾜ࡗ࡚࠸ࡿࠋ௨ୖࡢࡼ࠺࡟⪺ࡁྲྀࡗ࡚࠸ࡿ༳㇟࡜ࡋ࡚ࣅ
ࢵࢢࢹ࣮ࢱࡢศᯒࡣヨࡳ࡜ࡋ࡚኱ኚⱞປࢆ㔜ࡡ࡚࠸ࡿࡼ࠺࡟ឤࡌࡽࢀࡓࠋ
4㸬ேᮦ⫱ᡂࠊ⮬἞య࡬ࡢᨭ᥼
⮬἞యྥࡅᨭ᥼ࢧ࢖ࢺ Data StaRt(https://www.stat.go.jp/dstart/)ࢆ㛤タࡋࠊ඘ᐇࡉࡏ࡚
࠸ࡿ࡜ࡇࢁ࡛࠶ࡿ(Data StaRt ࡣ➨ 4 ᅇᆅ᪉බඹᅋయ࡟࠾ࡅࡿ⤫ィࢹ࣮ࢱ฼ά⏝⾲ᙲ࡟࠾࠸࡚≉ู㈹ࢆཷ㈹ࡋࡓࡇ࡜࡛▱ࡽࢀࡿ)ࠋ2019 ᖺ࡟ࠕ⤫ィࢹ࣮ࢱᢸᙜ⪅఍㆟ࠖ࡜ࡋ࡚඲ᅜࡢ
㒔㐨ᗓ┴ᢸᙜ⪅఍㆟(⌧≧࡛ࡣᨻ௧ᕷࡣྵࡲࢀ࡞࠸)ࢆ⾜ࡗࡓ࡯࠿ࠊ᭱㏆࡛ࡣ WEB ఍㆟࡟ࡶᛂࡌ࡚࠸ࡿࠋࡑࡢ᫬ࡶ㆟ㄽ࡟࡞ࡗࡓࡀࠊ㏆ᖺヰ㢟ࡢࣅࢵࢢࢹ࣮ࢱࡢศᯒ࡜࠸ࡗࡓሙྜ࡟ࡣẸ㛫࡜ࡢ࣑ࢡࣟࢹ࣮ࢱࡢ㐃ᦠࡀㄢ㢟࡜࡞ࡗ࡚࠸࡚ࠊ௚ࡢ⮬἞య࡛ࡶఝࡓ≧ἣ࡜ࡢࡇ࡜࡛࠶ࡿࠋ
ேᮦ⫱ᡂ࡛ࡣࠊᏊ౪ྥࡅࣉࣟࢢ࣑ࣛࣥࢢᏛ⩦ࡢㅮᗙࢆᥦ౪ࡋࡓࡾࠊ◊✲࡛ᆅᇦࢹ࣮ࢱࢆ㧗ᗘ࡟ά⏝ࡍࡿྲྀࡾ⤌ࡳࢆ⾜ࡗࡓࡾࠊヨ⾜ⓗ࡞ྲྀࡾ⤌ࡳࢆ㐍ࡵ࡚࠸ࡿࠋࡇ࠺ࡋࡓྲྀࡾ⤌ࡳࢆ
2020 ᖺᗘࡣᣑ኱ࡍࡿぢ㎸ࡳ࡛࠶ࡿࠋࣄࣖࣜࣥࢢࡋ࡚࠸ࡓ➹⪅ࡢ༳㇟࡜ࡋ࡚ࠊࢹ࣮ࢱࢧ࢖࢚
ࣥࢫࡢ᫬௦ࢆ㏄࠼ࠊᆅᇦ࡜ࡋ࡚ேᮦ୙㊊࡟ᑐࡍࡿᨻ⟇ⓗᑐฎࡀồࡵࡽࢀࡿࡼ࠺࡟࡞ࡗ࡚ࡁ
࡚࠾ࡾࠊேᮦ⫱ᡂࡢ㔜せᛶࢆᙜ஦⪅ࡀᙉࡃឤࡌ࡚࠸ࡿࡼ࠺࡛࠶ࡗࡓࠋ
ᅜ࣭┴ࢭࣥࢱ࣮ࡣ⁠㈡኱ࠊ࿴ḷᒣ኱࡞࡝࡜㐃ᦠ༠ᐃࢆ⤖ࢇ࡛࠸ࡿࠋࡇ࠺ࡋࡓ⫼ᬒ࡜ࡋ࡚ࠊ
࿴ḷᒣ኱Ꮫࡀࢹ࣮ࢱ࢖ࣥࢸࣜࢪ࢙ࣥࢫᩍ⫱◊✲㒊㛛ࢆタ⨨ࡋࡓࡇ࡜࡛ࠊᩍᮦ㛤Ⓨ࡞࡝༠ㄪࡋ࡚࠸ࡃ㞺ᅖẼࡀᩚࡗࡓ࡜࠸࠺ࡇ࡜࡛࠶ࡗࡓࠋ
┴ࢭࣥࢱ࣮࡛ࡣ EBPM ⤫ᣓ⪅➼タ⨨せ⥘࡟ᇶ࡙࠸࡚┴ෆ⤌⧊࡟⟶⌮⪅ࢆ⨨࠸ࡓࡾࠊࢹ࣮
ࢱࢆά⏝ࡋࡓሗ࿌ࢆ⾜࠺యไࢆ⤌⧊඲య࡟ᾐ㏱ࡉࡏ࡚࠸ࡿࠋࡋ࠿ࡋࠊࢹ࣮ࢱศᯒࢆ⾜࠺ேᮦࡀ┴ᗇ࡛ࡶ୙㊊ࡋ࡚࠸࡚ࠊ⌧ᐇ࡟ࡣேᮦ⫱ᡂࡀㄢ㢟࡜࡞ࡗ࡚࠸ࡿࠋẸ㛫௻ᴗࡶྠᵝ࡛ࠊ⤫ィศᯒ࡟ྥ࠸ࡓேᮦ⫱ᡂࡀ኱ኚ㔜せ࡞ㄢ㢟࡜࡞ࡗ࡚࠸ࡿࠋ┴ࢭࣥࢱ࣮࡛ࡣ௵ᮇ௜ࡁ◊✲ဨࡀ࿴ḷᒣ኱Ꮫࡢึ⣭⤫ィᏛㅮᗙ࡟ㅮᖌ࡜ࡋ࡚ᩍ⫱ࢆᢸ࠺࡞࡝ࠊேᮦ⫱ᡂ࡟ຊࢆධࢀ࡚࠸ࡿࠋ⣔⤫ⓗ࡞⌮ゎࡀ࡛ࡁ࡞࠿ࡗࡓࡀࠊᅜ࡜ྠᵝ࡟┴ෆ࡛ࡶࢭ࣑ࢼ࣮࡜࠸ࡗࡓྲྀࡾ⤌ࡳࢆከᩘᅇ⾜ࡗ࡚࠸ࡿ࡜ࡢࡇ࡜࡛࠶ࡗࡓࠋ➹⪅ࡢ༳㇟࡜ࡋ࡚ࡣ࿴ḷᒣ┴ෆࡣ࿴ḷᒣᕷ㏆㎶࡟ேཱྀࡀ೫ࡗ
࡚ࡣ࠸ࡿࡀࠊ┴ෆࡣ㌴ࡸ㟁㌴࡛᪥ᖐࡾ࡛⾜ࡁ᮶࡛ࡁࡿ≧ἣ࡟࠶ࡿ࡜ࡢࡇ࡜࡛ࠊ┴ෆ⮬἞యࡶ┴ࢭࣥࢱ࣮࠿ࡽⰋ࠸ᙳ㡪ࢆཷࡅ࡚࠸ࡿࡔࢁ࠺࡜ᐜ᫆࡟᝿ീ࡛ࡁࡓࠋ
5㸬┴ࢭࣥࢱ࣮ࡢ஦ᴗᴫせ┴ࢭࣥࢱ࣮ࡢᙺ๭ࡣࠊ᝟ሗⓎಙᣐⅬࠊศᯒ࣭◊✲ᣐⅬࠊேᮦ⫱ᡂᣐⅬࠊ㐃ᦠ࣭ᨭ᥼ᣐⅬࡢ
4 ࡘࡀ࠶ࡿࠋ㏆ᖺ┴ࢭࣥࢱ࣮ࡀᐇ᪋ࡍࡿࠕࢹ࣮ࢱ฼ά⏝ࢥࣥ࣌ࢸ࢕ࢩࣙࣥࠖࡀ඲ᅜࡢᏛ⏕࠿ࡽᛂເࢆ㞟ࡵࡿࡼ࠺࡟࡞ࡗ࡚ࡁ࡚࠾ࡾࠊὀ┠ࡉࢀ࡚࠸ࡿࠋ⌧ᅾ 13 ࡢ◊✲ࢸ࣮࣐ࢆ᥎㐍ࡋ࡚࠸ࡿ࡜ࡇࢁ࡛࠶ࡿࡀࠊᡂᯝ࡜࠸࠺ព࿡࡛ࡣ⏘ᴗ㐃㛵⾲సᡂࣔࢹࣝࡀ⤖ᐇࡋࡼ࠺࡜ࡋ࡚࠸࡚ࠊ
࿴ḷᒣ┴ෆᕷ⏫ᮧ⾲ࢆసᡂ࡛ࡁࡿࣇ࣮࣒ࣞࡀᩚ࠸ࡘࡘ࠶ࡿࠋẖᖺබເᆺ◊✲ࡶ⾜ࡗ࡚ࡁ࡚࠸࡚ࠊඛ㏙ࡢࣇ࣮ࢻࣟࢫࢆጞࡵࠊ3 ᖺ࡛ 6 ࢸ࣮࣐ᐇ᪋ࡋ࡚࠸ࡿࠋ
 ඛ㏙ࡢࡼ࠺࡟⾜ᨻࢹ࣮ࢱࢆศᯒࡍࡿヨࡳࢆ㐍ࡵ࡚࠸ࡿ࡯࠿ࠊẸ㛫௻ᴗࡀࢹ࣮ࢱࢆᏳᚰࡋ
࡚ᥦ౪࡛ࡁࡿࡼ࠺ࠊ⛎ᐦศᩓ࣭⛎ᐦィ⟬ᢏ⾡ࢆ⏝࠸ࡓᐇドᐇ㦂ࢆ⾜ࡗ࡚࠸ࡿࠋࡑࡢ㛵ಀ࡛࠸

(28) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕࡃࡘ࠿ࡢᶵ㛵࡜㐃ᦠࡋ࡚࠸ࡿ࡜ࡢࡇ࡜࡛ࠊ㇂㐨࣭୰ෆ (2020)P.54 ࡟ヲࡋ࠸ෆᐜࡀ⤂௓ࡉࢀ࡚࠸ࡿࠋ➹⪅ࡢ༳㇟࡜┤ឤ࡜ࡋ࡚ࠊ࿴ḷᒣ┴ࡢ㤳⬻㝕࡟⌮ゎࢆᚓ࡚┴඲యࢆࢹ࣮ࢱࢧ࢖࢚ࣥࢫᣐ
Ⅼ࡜ࡍ࡭ࡃࠊࢹ࣮ࢱ฼ά⏝ࢆ㐍ࡵࡿ┴ࡢጼໃࡣ኱ኚඛ㐍ⓗ࡛ࠊ࠾ࡑࡽࡃከࡃࡢ⮬἞యࡢᶍ⠊࡟࡞ࡾ࠺ࡿ࡜ண᝿ࡉࢀࡿࠋከࡃࡢ⮬἞య࡛ࡣண⟬࡜ேဨࢆኚ࠼ࡎ࡟⤫ィ㒊ᒁ࡟ุ᩿ࡶྵࡵ
࡚୸ᢞࡆࡍࡿࢣ࣮ࢫࡀከ࠸࡜ࡳࡽࢀࠊࡑࡢ⤖ᯝෆ㛶ᗓࡢᆅ᪉๰⏕ࠊ⥲ົ┬ࡢ⤫ィㄪᰝࠊ⤒῭⏘ᴗ┬ࡢ୰ᑠ௻ᴗ᪋⟇࡞࡝⦪๭ࡾ࡛஘❧ࡍࡿࠊᅜࡢ᪉㔪࡟⮬἞యഃࡶࣂࣛࣂࣛ࡟ᑐฎࡋ࡚
࠸ࡿࡇ࡜ࡀከ࠸ࠋࡑࢀ࡟ᑐࡋࠊ࿴ḷᒣࡣ┴୍୸࡜࡞ࡗ࡚᫂☜࡞᪉㔪ࢆ❧࡚ࡿࡇ࡜࡛ࠊᅜࡢ」ᩘࡢ᪉㔪࡟ࡶຠ⋡ⓗ࡟ᑐฎࡋ࡚࠸ࡿࠋࢭࣥࢱ࣮ࡢព⩏࡜ᡂᯝࡣᅜࡢ᪉㔪ࢆඛㄞࡳࡋࡓຠ⋡ⓗ࡞ᑐฎࡀ⾜࠼࡚࠸ࡿ࡜࠸࠺ࡇ࡜࡟♧ࡉࢀ࡚࠸ࡿࠋ
ࢭࣥࢱ࣮ࡢ࿴ḷᒣ┴Ẹࡢㄆ▱ᗘࡣୖࡀࡗ࡚ࡁ࡚࠸ࡿࡅࢀ࡝ࡶࠊ┴Ẹ࡟ࡣ࡞࠿࡞࠿฼ᐖࡀ
↓࠸ศ㔝࡞ࡢ࡛ࠊ࿘▱࡟ࡣ౫↛ㄢ㢟ࡀ࠶ࡿࠋ฼ά⏝ࢥࣥ࣌ࢸ࢕ࢩ࡛ࣙࣥࡣ࣐ࢫࢥ࣑ྛ♫࡛ሗ㐨ࡉࢀ࡚ࢭࣥࢱ࣮஦ᴗࢆ࿘▱ࡍࡿᶵ఍࡟࡞ࡗ࡚࠸ࡿࠋϪ ࢜ࣥࢧ࢖ࢺ᪋タ࡜฼⏝≧ἣ
1㸬࢜ࣥࢧ࢖ࢺ᪋タࡢぢᏛ୧ࢭࣥࢱ࣮㛗࡜⫋ဨࡢ᪉࠿ࡽ࢜ࣥࢧ࢖ࢺ᪋タࡢタഛࠊศᯒࡍࡿࣉࣟࢭࢫࡢ࢖࣓࣮ࢪࡢㄝ
᫂ࡀෑ㢌࡟࠶ࡾࠊ࣓࢝ࣛ௜ࡁ࡛᪋㘄ࡉࢀࡓ㝸㞳⎔ቃ࠿ࡽࢿࢵࢺ࣮࣡ࢡୖࡢ࣑ࢡࣟࢹ࣮ࢱ࡟
࢔ࢡࢭࢫࡍࡿୖ࡛฼౽ᛶࡀ኱ࡁࡃᨵၿࡉࢀ࡚ࡁ࡚࠸ࡿ༳㇟ࢆཷࡅࡓࠋ࣮ࣘࢨ࣮ࡣࠊ஦๓࡟స
ᴗ᫬㛫⠇⣙ࡢࡓࡵࠊࣉࣟࢢ࣒ࣛࢆ⤌ࢇ࡛࠾ࡃ࠿ࠊ⊂⮬ࡢࢹ࣮ࢱࢆ⤫ィࢭࣥࢱ࣮࡟⏦ㄳࡋ࡚
ࠕinࠖࣇ࢛ࣝࢲ࡟ධࢀ࡚࠾ࡁࠊ
ࠕoutࠖࣇ࢛ࣝࢲ࠿ࡽࢳ࢙ࢵࢡᚋ(୺࡟ 10 ௨ୖࡢᶆᮏࡀྵࡲࢀ
࡚࠸ࡿ࡞࡝୍ᐃ᮲௳ࢆ‶ࡓࡋࡓࢹ࣮ࢱࡢࡳ฼⏝ྍ)࡟ࣇ࢓࢖ࣝࢆᘬࡁฟࡍࠋ࿴ḷᒣࡢࢭࣥࢱ
࣮࡛ࡣ㞄ᐊࡢࢫ࣮࣌ࢫ࡟࡚ㄽᩥసᡂࠊ㣧㣗ࠊᡴྜࡏྍ࡛࠶ࡿࡢ࡛ࠊ฼౽ᛶ࡟㓄៖ࡉࢀ࡚࠸ࡿࠋ
ᘓ≀ࡢ㧗ࡉࡀ࠶ࡿࡓࡵࠊ࢜ࣇ࢕ࢫ࠿ࡽࡢ═ࡵࡶᝏࡃ࡞ࡃࠊ㛤ᨺⓗ࡞༳㇟ࢆཷࡅࡓࠋ
ࢭࣥࢱ࣮ࡣἲᚊᨵṇ᫬ࡢ 2018 ᖺ 4 ᭶࡟Ⓨ㊊ࡋ࡚࠸ࡿ࠿ࡽ 2019 ᖺ 5 ᭶ࡲ࡛ࡢᮇ㛫ࡀ▷࠸ࠋ ⵳✚ࡋࡓ᝟ሗࡀ㝈ࡽࢀࡿࡀࠊ⤫ィἲᚋ฼⏝≧ἣࡢኚ໬࡜ࡋ࡚ᨵṇ๓࡟ẚ࡭࡚Ỵ⿢ࡀ⡆␎໬ࡉࢀࠊ኱Ꮫ࡛ࡢᚲせᛶࡀㄝ࡛᫂ࡁࢀࡤࠊ⏦ㄳࡀ㏻ࡿࡼ࠺࡟࡞ࡗ࡚࠸ࡿࠋ௨๓ࡼࡾ኱Ꮫ◊✲⪅ࡀ฼⏝ࡋࡸࡍࡃ࡞ࡗ࡚࠸ࡿ๭࡟▱ࡽࢀ࡚࠸࡞࠸ᐇែࡀ࠶ࡾࠊ࿘▱ࡀᚲせ࡜࠸࠺ࡇ࡜࡛
࠶ࡗࡓࠋ࿴ḷᒣࡢࢭࣥࢱ࣮ࡣ඲ᅜࡢ࢜ࣥࢧ࢖ࢺ᪋タࡢ┘どᴗົࡶᢸᙜࡋ࡚࠾ࡾࠊ┘ど࣓࢝ࣛ࡟ࡼࡿࢳ࢙ࢵࢡࢆ⾜ࡗ࡚࠸ࡿ࡜ࡢࡇ࡜ࡔࡗࡓࠋ
2㸬❧ᩍ኱Ꮫࡀ࢜ࣥࢧ࢖ࢺᑟධࡍࡿሙྜࡢ᝿ᐃ
௒ࡢ࡜ࡇࢁ❧ᩍ኱Ꮫ࡛࢜ࣥࢧ࢖ࢺ᪋タࢆᵓ⠏ࡍࡿ᳨ウࡣࡋ࡚ࡁ࡚࠸࡞࠸ࡀࠊࣄࣖࣜࣥࢢ
୰ࠊ㢌ࡢయ᧯࡜ࡋ࡚࢜ࣥࢧ࢖ࢺ᪋タࢆᘬࡁཷࡅࡿሙྜࡢ᳨ウࡀ㆟ㄽ࡜࡞ࡗࡓࠋ࢜ࣥࢧ࢖ࢺ᪋タࡢ㐠Ⴀࢆ኱Ꮫࡀᘬࡁཷࡅࡿሙྜࠊ✵ࡁ㒊ᒇࡀ࠶ࡿࡇ࡜ࢆ᝿ᐃࡍࡿ࡜ࠊࡊࡗࡃࡾ࡜ A.᪋タ
ᩚഛ㈝࡟ 200 ୓ࠊB.㐠Ⴀࢥࢫࢺ 10 ୓ࠊC.஦ົ⫋ဨ࡟ࡼࡿᡭ⥆ࡁᴗົ࡜࠸ࡗࡓᡭ㛫ࡀⓎ⏕ࡍࡿࠋࡶࡋ௬࡟❧ᩍ኱Ꮫ࡟タࡅࡿሙྜࠊ౛࠼ࡤࢭࣥࢱ࣮㛗ᐊ࡜࠸ࡗࡓ 1 㒊ᒇࡢ㌿⏝ࢆ᝿ᐃࡍ
ࡿ࡜ࠊB ࡜ C ࡢࣁ࣮ࢻࣝࡣప࠸ࡓࡵࠊ࢜ࣥࢧ࢖ࢺ᪋タ࡬ࡢᑐᛂࡣࡉ࡯࡝㞴ࡋࡃ࡞࠸ࠋࡋ࠿

㹙㈨ᩱ㹛⥲ົ┬⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ཬࡧ࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮ฟᙇሗ࿌ (29)ࡋࠊ᪤࡟ 23 ༊ෆ࡟⤫ィࢭࣥࢱ࣮ࡀ࠶ࡾࠊ௚࡟㒔ෆ࡟⤫ィᩘ⌮◊✲ᡤ࡜ከᦶ኱Ꮫࡀ࠶ࡿࡇ࡜
ࢆ⪃࠼ࡿ࡜ࠊᮏᏛࡢ⊂⮬ᛶࢆぢฟࡋ࡟ࡃࡃࠊࡇࢀࡲ࡛㏻ࡾࡢ◊✲㟂せ࡜࠸࠺ࡇ࡜࡛Ꮫෆ࡛࢜
ࣥࢧ࢖ࢺ᪋タㄏ⮴ࡢ⌮ゎࡀᚓࡿࡢࡣ㞴ࡋ࠸༳㇟ࢆཷࡅࡿࠋᡭᩘᩱ཰ධ࡛ᖺ㛫 300 ୓ࡶᚓࡿࡢࡣ㞴ࡋ࠸ࡣࡎࡔࠋ
ᮾி࡟ࡣ࢜ࣥࢧ࢖ࢺ᪋タࡀࡍ࡛࡟࠸ࡃࡘࡶ࠶ࡿࡶࡢࡢࠊࡲࡔ඲ᅜ࡟ࡣᩘࡀከࡃ࡞࠸ࡓࡵࠊ
ఱ࠿࣓ࣜࢵࢺࢆぢฟࡏࡿ࠿࡝࠺࠿࡛ㄏ⮴ࡢ᳨ウࡢ᫝㠀ࡀኚࢃࡿࡔࢁ࠺࡜ᛮࢃࢀࡿࠋࡇࡢ㎶
ࡾࢆ᳨ウࡍࡿࡓࡵࡢᐈほⓗ㈨ᩱ࡜ࡋ࡚ࠊ㧗㒊(2021)ࡀ኱ኚཧ⪃࡟࡞ࡿࠋ⤫ィᒁ࡛ࡣྛ኱Ꮫᩍ
⫱ᶵ㛵࡟ᑐࡋ࡚࢜ࣥࢧ࢖ࢺ᪋タタ⨨ࡢࡓࡵࡢ᝟ሗᥦ౪ࢆ⾜࠺ࡼ࠺࡟࡞ࡗࡓࠋࡇࡢ㎶ࡾࡣ HPࡸ㐠⏝࡟ࡼࡗ࡚᪥ࠎ᝟ሗࡀኚࢃࡿࡓࡵࠊ⤫ィᒁࢫࢱࢵࣇ࡟┦ㄯࡍࡿ᪉ࡀ᪩࠸ࡔࢁ࠺ࠋࡉ࡚ࠊ
ࡇࡇ࡛❧ᩍᏛ㝔ෆ࡟࢜ࣥࢧ࢖ࢺࢆタ⨨ࡍࡿ㢌ࡢయ᧯ࢆ⾜࠾࠺ࠋྛᆅࡢ࢜ࣥࢧ࢖ࢺ᪋タ࡛ࡣᩍ⫱ᨭ᥼ࡸࣀ࢘ࣁ࢘ࡢᥦ౪ࢧ࣮ࣅࢫࡢ⬟ຊࡀప࠸࡜ࡳࡽࢀࡿ
ࡓࡵࠊ❧ᩍ࡜ࡋ࡚ձ࣑ࢡࣟࢹ࣮ࢱࢆ฼⏝ࡋࡓಟኈㄽᩥ༤ኈㄽᩥᨭ᥼ࠊղ୰㧗࡛ࡢ࣑ࢡࣟࢹ࣮
ࢱࢆ฼⏝ࡋࡓᩍ⫱(᪥ᮏࡢ኱Ꮫ࡛⌧ᅾࡇࢀࢆ᝿ᐃࡋ࡚࠸ࡿ኱Ꮫࡣࡲࡔ࡞࠸)ࠊճ␲ఝ࣑ࢡࣟ࡞
࡝◊✲ᩍ⫱㠃࡛ከ✀㛤Ⓨࡀᚲせ࡞࣑ࢡࣟࢹ࣮ࢱࡢ㛤Ⓨ࡛ࡣ௚࡟ඛ㥑ࡅࡓࣇ࣮࣒ࣞࢆ⏝ព࡛ࡁࡿྍ⬟ᛶࡀ࠶ࡿࠋࡘࡲࡾࠊ᝟ໃḟ➨ࡔࡀࠊ❧ᩍᏛ㝔඲య࡜ࡋ࡚⛉◊㈝ࢆ⏦ㄳࡋ࡚࢜ࣥࢧ࢖ࢺ᪋タࢆ㐠Ⴀࡍࡿ࡜࠸࠺ࡢࡣ㐲࠸ᑗ᮶ࢆ⪃࠼ࡿ࡜࠶ࡾ࠺ࡿ࠿ࡶࡋࢀ࡞࠸ࠋḢᕞ࡛ࡣղࡢࢣ
࣮ࢫ࡛ᩍ⫱⏝࣑ࢡࣟࢹ࣮ࢱࡢ㐠⏝ࡀ▱ࡽࢀ࡚࠸ࡿࠋࡋ࠿ࡋࠊྛᅜ࡜ࡶ⏦ㄳᩘࡣỴࡋ࡚ከࡃࡣ
࡞࠸ࡇ࡜ࡶࡲࡓ▱ࡽࢀ࡚࠸ࡿࠋḢᕞ࡛ࡣ⤫ィᒁ࡜㛵ಀࡀᙉ࠸኱ᏛࡀⅬᅾࡋ࡚࠸ࡿࡓࡵࠊ⤫ィㄪᰝࡢጤクᴗົࢆཷࡅࡿୖ࡛ࡢᐇົⓗ㟂せࡀᩍ⫱ᶵ㛵ഃ࡟࠶ࡿࡢ࠿ࡶࡋࢀ࡞࠸ࠋ
ඛࡢճ࡟㛵㐃ࡋ࡚ᮏᏛ࡛ࡣ 2022 ᖺᗘ㡭ࢆ᝿ᐃࡋ࡚඲Ꮫⓗ࡟ேᕤ▱⬟⛉Ꮫ◊✲⛉๰タ࡟ࡼࡿ୍⯡ᩍ㣴ࡢᩍ⫱᪂タࡸࠊ࣑ࢡࣟࢹ࣮ࢱࢆ౑ࡗࡓᏛෆࢹ࣮ࢱࢧ࢖࢚ࣥࢫᩍ⫱ࢆ᥎㐍ࡍࡿᏛෆ᪉㔪ࢆ᥎㐍ࡍࡿࡼ࠺࡛࠶ࢀࡤࠊ௚ࡢ࢜ࣥࢧ࢖ࢺࢆ◊✲ᣐⅬ࡜ࡋ࡚ࠊᮏᏛࡣ 2 ୓ேࡢᏛ⏕࡟ᑐࡍࡿᩍ⫱᥎㐍ᣐⅬ࡜ࡋ࡚≉Ⰽࢆฟࡍ᪉ྥᛶࡣ࠶ࡾ࠺ࡿ࡜࠸࠺༳㇟ࢆཷࡅࡓࠋࡘࡲࡾࠊ
࢖ࢠࣜࢫᅜᐙ⤫ィᒁ ONS ࡜බ┈ࡢ࠶ࡿ஦ᴗጤクࢆཷࡅ࡚࠸ࡿ࢚ࢭࢵࢡࢫ኱Ꮫࠊ࢚ࢪࣥࣂࣛ
኱Ꮫࡢࡼ࠺࡞㛵ಀ࡜࠸࠺ࡇ࡜࡛࠶ࡿࠋᾏእࡢ␃Ꮫ⏕ࠊ㐃ᦠᑐ㇟ࡢ኱Ꮫ㝔Ꮫ⏕ࠊᒣᡭ⥺ᅪෆࡢ⚾Ꮫࡸ㏆㞄⚾Ꮫࢆᕳࡁ㎸ࢇ࡛ 10 ୓ேࢡࣛࢫࡢᩍ⫱ྥࡅࢹ࣮ࢱࢧ࢖࢚ࣥࢫᣐⅬࢆసࡾࠊࡑࡢ
ࢧ࣮ࣅࢫࡢ୍ࡘ࡟࢜ࣥࢧ࢖ࢺࡀ࠶ࡿࡼ࠺࡛࠶ࢀࡤࠊᑟධ࡟ྥࡅ࡚ືࡁࡸࡍ࠸༳㇟ࢆཷࡅࡿ
ࡀࠊ⌧≧ᮏᏛ࡜ࡋ࡚≉࡟ࡑࡢ᪉㠃ࢆᙉ໬ࡍࡿᡓ␎ࡀࡳࡽࢀ࡞࠸୰࡛ࡣືࡁ࡟ࡃ࠸༳㇟ࡣཷ
ࡅࡿࠋࡘࡲࡾࠊ኱Ꮫ࡜ࡋ࡚ࡢᩍ⫱ᡓ␎ḟ➨࡜࡞ࢁ࠺ࠋᮏᏛࡢሙྜࠊᖾ࠸࡟ࡋ࡚ࡶ❧ᩍᏛ㝔ࡢ⌮஦఍࡟ࡶ௜ᒓࡢ㧗ᰯ࡟ࡶ኱Ꮫ࡟ࡶ୺せ࣏ࢫࢺ࡟⤫ィศ㔝ࡢ◊✲⪅࣭ᩍ⫱⪅ࡀ࠾ࡽࢀࡿࠋࡘ
ࡲࡾࠊ❧ᩍᏛ㝔ࡣࡇ࠺ࡋࡓ㆟ㄽࢆ⾜࠺ୖ࡛ᜨࡲࢀࡓ⎔ቃ࡟࠶ࡿࠋ
ᮾி㒔ෆ࡛ᚋ㏣࠸࡛࢜ࣥࢧ࢖ࢺ᪋タࢆタ⨨ࡍࡿሙྜࠊ㟂せࡀ࠶ࡿ࡜ࡍࡿ࡜ᩍ⫱㠃ࡔࡅ࡛࠶ࡿࠋᡭᩘᩱ཰ධ࡛ 300 ୓⛬ᗘᚓࡿࡼ࠺࡟ࡍࡿࡓࡵ࡟ࡣࠊ౛࠼ࡤᮾி 23 ༊࿘㎶ࡢ኱Ꮫ࡜௜
ᒓᰯࡶྵࡵࡓࢹ࣮ࢱࢧ࢖࢚ࣥࢫᣐⅬ࡟࢜ࣥࢧ࢖ࢺ᪋タࢆ఩⨨࡙ࡅࡿ࡜࠸ࡗࡓᵓ᝿ࡀᐇ⌧ࡍࢀࡤࠊ࠾ࡑࡽࡃ࢜ࣥࢧ࢖ࢺ᪋タࢆ❧ᩍᏛෆ࡟ㄏ⮴ࡍࡿࡇ࡜ࡣ࠶ࡾ࠺ࡿࡔࢁ࠺࡜࠸࠺⋡┤࡞༳㇟ࢆᣢࡗࡓࠋ᪤࡟୍ᶫ኱ࡀ࢜ࣥࢧ࢖ࢺ᪋タࢆタ⨨ࡋ࡚࢜ࢵࢡࢫࣇ࢛࣮ࢻ኱࡜㐃ᦠࡋ࡚᪥ᮏࡢ࣑ࢡࣟࢹ࣮ࢱࡢ฼ά⏝ࢆ᥎㐍ࡋ࡚࠸ࡿࠋࡘࡲࡾ◊✲㠃࡛ᾏእ኱Ꮫ࡟ᑐࡋ࡚᪥ᮏࡢ࣑ࢡ
ࣟࢹ࣮ࢱࢆ฼⏝ࡋ࡚ࡶࡽ࠺ᗈ⠊ᅖ࡞ྲྀࡾ⤌ࡳࢆ⾜࠺࡜࠸࠺వᆅࡣஈࡋ࠸ࠋ୍᪉࡛ᩍ⫱㠃࡛ࡢ࣑ࢡࣟࢹ࣮ࢱࡢ㟂せ㛤ᣅࡣ᪥ᮏ࡛ㄡࡶᡭ᥃ࡅ࡚࠸࡞࠸ࠋᮾ኱࡞࡝ࡢᅜ❧኱࡟ࡲ࡜ࡲࡗ࡚
㐍Ꮫࡍࡿ௜ᒓ㧗ᰯࡀ᪥ᮏ࡟ࡣ࡞࠸࠿ࡽ࡛࠶ࡿࠋᩍ⫱㠃࡛ࡢ㟂せ࡟㝈ᐃࡋ࡚᪥ᮏࡢබⓗ⤫ィ(30) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕࡢ࣑ࢡࣟࢹ࣮ࢱࡢ࣮ࣘࢨ࣮ࢆᅜෆᩍ⫱ᶵ㛵࡜ᾏእᩍ⫱ᶵ㛵࡟ồࡵࡿ࡜࠸࠺ᡓ␎ࢆ㒔ෆ⚾Ꮫ኱ࡢ࡝ࡇ࠿ࡀ❧࡚ࡿ࠿࡝࠺࠿ࡀ࢜ࣥࢧ࢖ࢺ᪋タࢆタ⨨ࡍࡿሙྜ࡟㔜せ࡜࡞ࢁ࠺ࠋ
௨ୖ࡛࿴ḷᒣ┴࡬ࡢฟᙇሗ࿌࡜ࡋ࡚ᅜ࡜┴ࢭࣥࢱ࣮ࡢᶵ⬟ࢆ⤂௓ࡋࠊᮏᏛ࡜࢜ࣥࢧ࢖ࢺ
ㄏ⮴ࡢྍ⬟ᛶ࡟ࡘ࠸࡚㢌ࡢయ᧯ࢆ⾜ࡗࡓࠋᮏ✏ࡣ࠶ࡃࡲ࡛ฟᙇሗ࿌࡜ࡋ࡚࣓ࣔ࡟ᡭࢆධࢀ
࡚ᵓᡂࡋࡓࡶࡢ࡛࠶ࡿࠋヲࡋ࠸ࡇ࡜ࡣྛ✀ཧ⪃ᩥ⊩ࠊmiripo ࡞࡝ࡢ HPࠊ㛵㐃᝟ሗࢆཧ↷㢪
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⥲ົ┬⤫ィᒁ࣭⊂❧⾜ᨻἲே⤫ィࢭࣥࢱ࣮ ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮㸪2020a㸪ࠕ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ࡢάື≧ἣ࡟ࡘ࠸࡚ࠖෆ㒊 PowerPoint ㈨ᩱ㸬⥲ົ┬⤫ィᒁ࣭⊂❧⾜ᨻἲே⤫ィࢭࣥࢱ࣮ ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮㸪2020b㸪ࠕ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮̿ඛ㐍ⓗ࡞ࢹ࣮ࢱ฼ά⏝ࡢ᥎㐍ᣐⅬ̿ࠖࣃࣥࣇࣞࢵࢺ
https://www.stat.go.jp/rikatsuyou/pdf/pamphlet.pdf㸬
㧗㒊໏(2021)ࠕබⓗ⤫ィ࣑ࢡࣟࢹ࣮ࢱࡢ᭦࡞ࡿ฼ά⏝᥎㐍࡟ྥࡅࡓྲྀ⤌ࡢ⤂௓ࠖ⤒῭⤫ィᏛ఍ᮾ໭࣭㛵ᮾᨭ㒊 1 ᭶౛఍ሗ࿌㈨ᩱ㸬㇂㐨ṇኴ㑻࣭୰ෆၨᩥ㸪2020㸪ࠕ᪥ᮏࡢ⤫ィࢹ࣮ࢱ฼ά⏝ᣐⅬࢆ┠ᣦࡋ࡚ࠖࠗ⤫ィ࠘2020 ᖺ
3 ᭶ྕ㸬࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮㸦సᡂᖺ୙᫂㸧㸪ࠕࢹ࣮᭷ά⏝ࡢ㔜せᛶ࣭᭷⏝ᛶࢆ඲ᅜ࡟Ⓨಙ(ࢩ࣏ࣥࢪ࣒࢘ࡢ㛤ദ)ࠖෆ㒊ࢫࣛ࢖ࢻ㈨ᩱ㸬࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮㸪2019㸪ࠕ࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ࠖࣃࣥࣇࣞࢵࢺ㸬࿴ḷᒣ┴㸦సᡂᖺ୙᫂㸧㸪ࠕ┴ᗇෆ࡛ಖ᭷ࡍࡿ⾜ᨻ᝟ሗㄪᰝ⤖ᯝࠖෆ㒊㈨ᩱ㸬HP⥲ົ┬⤫ィᒁ࣭⊂❧⾜ᨻἲே⤫ィࢭࣥࢱ࣮ ⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮㸪https://www.stat.go.jp/rikatsuyou/㸪㸦2020 ᖺ 3 ᭶ 4 ᪥ྲྀᚓ㸧࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮㸪
https://www.pref.wakayama.lg.jp/prefg/020100/data/center.html㸪㸦2020 ᖺ 3 ᭶ 4᪥ྲྀᚓ㸧࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍࣮࣒࣮࣍࣌ࢪ㸪
https://www.pref.wakayama.lg.jp/prefg/020100/data/index.html㸪
㸦2020 ᖺ 3 ᭶ 4 ᪥ྲྀᚓ㸧miripo㸪https://www.e-stat.go.jp/microdata/㸪㸦2020 ᖺ 3 ᭶ 4 ᪥ྲྀᚓ㸧
Data StaRt㸪https://www.stat.go.jp/dstart/㸪㸦2020 ᖺ 3 ᭶ 4 ᪥ྲྀᚓ㸧

㹙㈨ᩱ㹛⥲ົ┬⤫ィࢹ࣮ࢱ฼ά⏝ࢭࣥࢱ࣮ཬࡧ࿴ḷᒣ┴ࢹ࣮ࢱ฼ά⏝᥎㐍ࢭࣥࢱ࣮ฟᙇሗ࿌ (31)

Summary

Report to visit Statistical Data Utilization Center in Statistics
Bureau and Wakayama Data Utilization Promotion Center
Takeshi Sakuramoto
In March 2020, the Statistical Data Utilization Center of the Ministry ofInternal Affairs and Communications and the Promotion Center in Wakayama
Prefecture (referred to as the Wakayama centers) were visited. The role and operations of
the centers were introduced. The Ministry of Internal Affairs and Communications had
set up this Statistical Data Utilization Center according to the dispersion policy of thecentral government functions to rural areas. Wakayama Prefecture had alsoestablished a new organization in the same office. The Wakayama centers arecollaborative organizations between the national and local governments. They coverwide services such as the use and consultation of on-site facilities and microdata
operated by the national government in western Japan, support for the administration
centered on western Japan, and analysis of data entrusted by private companies andgovernment agencies. It is expected that the statistics administration service will
improve if the Wakayama centers play the role of directly listening to the opinions oflocal governments and outsiders.
Key words : Business trip report, Statistical Data Utilization Center in Statistics
Bureau, Wakayama Data Utilization Promotion Center, Onsite Facility of Microdata

(32) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ

㹙㈨ᩱ㹛ᾏእࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢືྥ 4 (33)

ࠓ㈨ᩱࠔᾏእࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢືྥ 4
̿JSM ᖺḟ኱఍ࡢሗ࿌࠿ࡽ̿஬༑ᔒ ᙲ㧘ᶫ ࠿࠾ࡾ࠙せ᪨ࠚ ♫఍ㄪᰝࢹ࣮ࢱࡣ௒ᚋࡢ♫఍ࡢⓎᒎ࡟ᐤ୚ࡍࡿබඹ㈈࡛࠶ࡾ㸪ᗈࡃࢹ࣮ࢱࡀ฼ά⏝ࡉࢀࡿ⎔ቃࢆᩚഛࡍࡿᚲせࡀ࠶ࡿ㸬ᮏ✏࡛ࡣ 2020 ᖺ 8 ᭶࡟㛤ദࡉࢀࡓ JSM ᖺḟ኱఍࡛ሗ࿌ࡉࢀࡓෆᐜࢆࡶ࡜࡟ᾏእ
࡛⾜ࢃࢀ࡚࠸ࡿ⤫ィᩍ⫱ࡸᐇ㊶ࡢඛ㐍ⓗ࡞ྲྀࡾ⤌ࡳࢆ⤂௓ࡍࡿ㸬ࡇࢀࡽࢆ㋃ࡲ࠼㸪௒ᚋࡢ CSI ᴗົ࡞ࡽࡧ
࡟ RUDA 㐠Ⴀ࡟ᑐࡋ࡚ࡢ᪉㔪࡜♧၀ࢆᥦ᱌ࡍࡿ㸬࣮࣮࢟࣡ࢻ : ࢹ࣮ࢱ࢔࣮࢝࢖ࣈ㸪ࢹ࣮ࢱ฼⏝㸪ࢹ࣮ࢱඹ᭷Ϩ ࡣࡌࡵ࡟ ♫఍ㄪᰝ㒊఍ࡣ౛ᖺ IASSIST ࡀ㛤ദࡍࡿᖺḟ኱఍࡟ཧຍࡋ㸪♫఍⛉Ꮫ࡟㛵ࡍࡿ᝟ሗᢏ⾡࣭ࢹ࣮ࢱࢧ࣮ࣅࢫ࡟㛵ࡍࡿ᝟ሗ཰㞟ࢆࡍࡿࡇ࡜ࢆᴗົ࡜ࡋ࡚࠸ࡓ㸬ࡋ࠿ࡋ࡞ࡀࡽᚲࡎࡋࡶẖᖺྠศ㔝࡟࠾࠸࡚኱ࡁ࡞㐍Ṍࡀ࠶ࡿ࡜ࡣ㝈ࡽࡎ㸪ࡲࡓᆅᇦࡸᡭἲ࡟೫ࡾࡀฟ࡚ࡃࡿྍ⬟ᛶࢆ⪃៖ࡋ㸪௒ᖺࡣヨ㦂ⓗ࡟ American Statistical Association ࡀ୺ദࡍࡿ Joint Statistical
Meetings㸦JSM㸧࡟ཧຍࡋࡓ㸬኱఍ཧຍࡢ┠ⓗࡣ㸪ᾏእ㸪࡜ࡾࢃࡅ࢔࣓ࣜ࢝࡟࠾ࡅࡿㄪᰝ
ᢏ⾡ࡸ⤫ィᡭἲࡸ㸪࢔࣮࢝࢖ࣈࡢࢹ࣮ࢱά⏝࡟㛵ࡍࡿືྥㄪᰝ࡛࠶ࡿ㸬௒ᖺࡣ᪂ᆺࢥࣟࢼ࢘࢖ࣝࢫឤᰁᣑ኱ࡢᙳ㡪࡛࢜ࣥࣛ࢖ࣥ㛤ദ࡜࡞ࡾ㸪ฟᙇࡣ⾜ࢃࡎ࡟ྛ⮬࢜ࣥࣛ࢖ࣥཧຍࢆ⾜ࡗࡓ㸬㛤ദ᫬ᮇࡣ 8 ᭶ 2㹼6 ᪥࡛࠶ࡾࠊ୍㒊ࡢࢭࢵࢩࣙࣥࡣࣜ࢔ࣝࢱ
࢖࣒㓄ಙ㸪୍㒊ࡣ஦๓࡟㘓⏬ࡉࢀࡓ㡢ኌ࡜㈨ᩱࢆᥦ♧ࡍࡿ᪉ᘧ࡛࠶ࡗࡓ㸬ࣜ࢔ࣝࢱ࢖࣒㓄ಙࡣ㘓⏬ࡉࢀ୍ᐃᮇ㛫බ㛤ࡉࢀ࡚࠾ࡾ㸪᫬ᕪࡢ࠶ࡿᆅᇦ࡛ࡢཧຍࡶᐜ࡛᫆࠶ࡗࡓ㸬௒ᅇࡢᖺḟ኱఍ࡢࢸ࣮࣐ࡣ“Everyone Counts: Data for the Public Good”࡛࠶ࡾ㸪බඹ㈈࡜ࡋ࡚ࡢࢹ࣮ࢱࡢഃ㠃ࢆᙉㄪࡋࡓࡶࡢࡔࡗࡓ㸬ࡑࡢྡࡢ㏻ࡾ㸪බⓗ࡞ࢹ࣮ࢱࡢ཰㞟࡜ฎ⌮㸪ࡑࡋ࡚཰㞟ࡋࡓࢹ࣮ࢱࢆᐇ㊶ⓗ࡟ᢅ࠺᪉ἲ࡟㛵ࡍࡿⓎ⾲ࡀከࡃぢࡽࢀࡓ㸬ࡲࡓࣅࢵࢢࢹ࣮
ࢱࡸᶵᲔᏛ⩦ࣔࢹࣝ࡞࡝㸪᫬ὶ࡟ἢࡗࡓྲྀࡾ⤌ࡳࡀከࡃ⤂௓ࡉࢀ࡚࠸ࡓ㸬 IASSIST ࡜ࡢᕪ␗࡜࠶ࡆࢀࡤ㸪࢔࣮࢝࢖ࣈࡢ⟶⌮ഃࡢྲྀࡾ⤌ࡳࡸࡑࡢ㐠Ⴀ࡟≉໬ࡋࡓⓎ⾲ࡣ࡯ࡰぢᙜࡓࡽ࡞࠿ࡗࡓ㸬௚᪉࡛⤫ィᡭἲࡸࢹ࣮ࢱࡑࡢࡶࡢࡢฎ⌮᪉ἲ࡞࡝㸪IASSIST
࡛ࡣぢࡽࢀ࡞࠸ࡀ RUDA ࡢᴗົ࡟᭷⏝࡜ᛮࢃࢀࡿⓎ⾲࡞࡝ࡶ࠶ࡾ㸪ᚑ᮶࡜ࡣ␗࡞ࡿഃ㠃࠿ࡽࡢ᝟ሗ཰㞟ࡀྍ⬟࡟࡞ࡗࡓ㸬⤫ィᩍ⫱࡟ࡘ࠸࡚ࡣ IASSIST ྠᵝ඘ᐇࡋ࡚࠸ࡓ㸬 ᮏ✏࡛ࡣ࠶ࡲࡓ࠶ࡿሗ࿌ࡢ୰࠿ࡽ㸪බඹ㈈࡜ࡋ࡚ࡢࢹ࣮ࢱά⏝㸪⤫ィᩍ⫱㸪web ㄪᰝ㸪ࡑࡋ࡚ᕪศࣉࣛ࢖ࣂࢩ࣮ࡢ 4 ࡘࡢࢺࣆࢵࢡ࡟⤠ࡗ࡚ሗ࿌ࢆ⤂௓ࡋ࡚࠸ࡃ㸬

(34) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕϩ බඹ㈈࡜ࡋ࡚ࡢࢹ࣮ࢱɆɆၟᴗ┠ⓗ࡜Ꮫ⾡┠ⓗࡢ㛫 JSM ࡢ௒኱఍ࡢࢸ࣮࣐ࡣࠕබඹ㈈ࡢࡓࡵࡢࢹ࣮ࢱ࡛ࠖ࠶ࡾ㸪ࢭࢵࢩࣙࣥࡢ୰࡟ࡶබඹ㈈࡜ࡋ࡚ࡢࢹ࣮ࢱࢆ࡝࠺ά⏝ࡍࡿࡢ࠿㸪ࢹ࣮ࢱࡸ⤫ィࢆᐇ㊶࡟⏕࠿ࡍ᪉ἲࡸ஦౛࡟ࡘ࠸࡚ࡢ
ሗ࿌ࡀ」ᩘぢࡽࢀࡓ㸬ࡇࡇ࡛ࡣᐇ㊶࡜ᩍ⫱࡜࠸࠺Ⅼ࠿ࡽᩚ⌮ࡋࡓ࠸㸬 ࡲࡎ㸪ᐇ㊶࡟ࡘ࠸࡚ࡣࢹ࣮ࢱࢆ௚ࡢᑓ㛛⫋ࡢᴗົࡸᡂᯝ࡟⏕࠿ࡍྲྀࡾ⤌ࡳࡀ⤂௓ࡉࢀࡓࢭࢵࢩࣙࣥࡀ࠶ࡗࡓ㸬
ࠕDate Science for the Public Goodࠖࡢࢭࢵࢩ࡛ࣙࣥࡣ㸪ࢪ࣮ࣕࢼࣜ
ࢬ࣒ࡸἲ᭪ᴗ⏺࡟࠾࠸࡚㸪ㄢ㢟ゎỴࡢࡓࡵࡢࢹ࣮ࢱά⏝ࡀᐇ㊶౛࡜ࡶ࡟ሗ࿌ࡉࢀࡓ㸬ࡇࡇ࡛ࡢㄪᰝㄢ㢟ࡣ㸪ぶᐦ࡞㛵ಀᛶ࡟࠾ࡅࡿᭀຊࡸ⣮த࡛ࡢṚ⪅ᩘ᥎ィ㸪࠶ࡿ࠸ࡣฮົᡤෆ࡛ࡢ
Covid-19 ࡢឤᰁ≧ἣ࡞࡝㸪௒ࡲࡉ࡟ၥ㢟࡜࡞ࡗ࡚࠸ࡿ஦౛࡛࠶ࡗࡓ㸬ࡇࢀࡽࡢሗ࿌࡛⯆࿡῝࠸ࡢࡣ㸪ሗ࿌⪅ࡸࡑࡢᐇ㊶࡬ࡢཧຍ⪅ࡢ୰࡛」ᩘࡢࢹ࣮ࢱࢆ฼⏝ࡋࡘࡘ㸪࠸࠿࡟ࢹ࣮ࢱ࡟
᭩࠿ࢀ࡚࠸࡞࠸ࡇ࡜ࢆ᥎

ࡋࡓࡾ㸪ࢹ࣮ࢱ࡟࠶ࡿࣂ࢖࢔ࢫ࡬ࡢὀពࢆඹ᭷ࡋࡓࡾࡍࡿ࡜࠸

࠺ࡇ࡜࡟㔜ࡁࡀ⨨࠿ࢀ࡚࠸ࡓࡇ࡜࡛࠶ࡿ㸬౛࠼ࡤ㸪ぶᐦ࡞㛵ಀᛶ࡟࠾ࡅࡿᭀຊ࡜࠸࠺ၥ㢟࡟ࡘ࠸࡚㸪ಶே༢఩㸪ᆅᇦ༢఩㸪㐌༢఩ࡢ 3 ࡘࡢ࡛ࣞ࣋ࣝᵝࠎ࡞ࢹ࣮ࢱࢆ⤌ࡳྜࢃࡏࡿࡇ࡜࡛
ၥ㢟ࡢせᅉࢆ᥈ࡾ㸪ၥ㢟ゎỴࡢࡓࡵࡢᨻ⟇❧᱌ࡢ⣲ᮦ࡜ࡋࡼ࠺࡜ࡋ࡚࠸ࡓ㸬 ࠸ࡎࢀ࡟ࡋ࡚ࡶ㸪ᨻᗓ➼࡟ࡼࡗ࡚බ㛤ࡉࢀ࡚࠸ࡿࢹ࣮ࢱࡢ⤌ࡳྜࢃࡏ࡛ఱࡀ࠸࠼ࡿࡢ࠿
࡜࠸࠺ࡇ࡜ࡣ㸪ඛ㗦ⓗ࡞⤫ィᡭἲࡢⓎᒎ࡜ࡣูࡢࡸࡾ᪉࡛⤫ィࡸࢹ࣮ࢱࢧ࢖࢚ࣥࢫࡢ▱ぢࢆ῝ࡵࡿ᪉ἲ࡛࠶ࡿ㸬ࡇࢀࡽࡢྲྀࡾ⤌ࡳࢆྍ⬟࡟ࡋ࡚࠸ࡿࡢࡣ㸪ࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢᏑᅾࡀ
኱ࡁ࠸࡜࠸࠼ࡿ㸬JSM ࡢሗ࿌ࡢ୰࡛ࡣࠕdata analysis lifecycleࠖ࠶ࡿ࠸ࡣࠕdata science
lifecycleࠖ࡜࠸࠺⪃࠼᪉ࡀ࠸ࡃࡘ࠿ࡢሗ࿌ࡢ๓ᥦ࡟ᥦ♧ࡉࢀࡓ㸬ࡇࢀࡣ㸪௒᪥ࡢࢹ࣮ࢱ࢔࣮
࢝࢖ࣈࡢ㆟ㄽࡢᇶ♏࡟࡞ࡗ࡚࠸ࡿࠕdata lifecycleࠖࡢ⪃࠼ࡢᛂ⏝࡛࠶ࢁ࠺㸦ᮅᒸ࣭㧘ᶫ, 2019㸧㸬 ࡇࡢࡼ࠺࡞᪤Ꮡࢹ࣮ࢱࢆ⏝࠸ࡓၥ㢟ゎỴࡢࡓࡵ࡟ࢹ࣮ࢱ࢔࣮࢝࢖ࣈ࡜ࡋ࡚࡛ࡁࡿࡇ࡜ࡣ㸪Ꮫ⾡฼⏝௨እࡶど㔝࡟ධࢀࡓᵓ⠏ࡸᗈሗࢆࡍࡿࡇ࡜࡛࠶ࢁ࠺㸬⌧ᅾࡢ RUDA ࡢつ⣙࡛ࡣࠕᩍ⫱࣭◊✲┠ⓗࡢ஧ḟ฼⏝ࠖ࡜ࡋ࡚㸪኱Ꮫ࡟ᡤᒓࡍࡿ◊✲⪅ࡢ◊✲࠿㸪ᤵᴗ࡛ࡢᩍ⫱ࡀ๓ᥦ࡜ࡉࢀ࡚࠸ࡿ㸬ࡑࡋ࡚ࠕၟᴗ┠ⓗ࡛ࡢ฼⏝ࠖࡣ⚗Ṇࡉࢀ࡚࠸ࡿ㸬ࡋ࠿ࡋ㸪ᨻ⟇❧᱌ࡢࡓࡵࡢ㆟ㄽࡢᮦᩱ࡜ࡋࡓࡾ㸪ఱ࠿ࡢ♫఍ၥ㢟ࡢゎỴࡢࡓࡵ࡟ࢹ࣮ࢱࢆ฼⏝ࡋࡓ࠸࡜࠸࠺ࡇ࡜ࡶ௒ᚋ
⪃࠼ࡽࢀࡿ㸬ࡇࡢࠕᏛ⾡ࠖ࡜ࠕၟᴗࠖࡢ㛫࡟࠶ࡿά⏝ࢆ⪃࠼ࡿ㝿㸪௒ᅇࡢ኱఍ࢸ࣮࣐࡛࠶ࡿ
ࠕබඹ㈈ࠖ࡜ࡋ࡚ࢹ࣮ࢱࢆ⪃࠼ࡿࡇ࡜ࡣࡇࡢ㝽㛫ࢆᇙࡵࡿࡇ࡜࡟ࡘ࡞ࡀࡿࡔࢁ࠺㸬௒᪥㸪
EBPM㸦࢚ࣅࢹࣥࢫ࡟ᇶ࡙ࡃᨻ⟇❧᱌㸧࡟ὀ┠ࡀ㞟ࡲࡿࡀ㸪EBPM ࡛ࡢࢹ࣮ࢱ࢔࣮࢝࢖ࣈ
ࡢά⏝ࡣ኱Ꮫᡤᒓࡢ◊✲⪅ࡀ฼⏝ࡍࡿࡇ࡜࡛ࠕᏛ⾡┠ⓗࠖ࡜ࡋ࡚ࡢ฼⏝࡜ゎ㔘ࡉࢀ࡚࠸ࡿࡔ
ࢁ࠺㸬ࡋ࠿ࡋ௒ᚋࡢࢹ࣮ࢱ࢔࣮࢝࢖ࣈ඲యࡢ࠶ࡾ᪉࡜ࡋ࡚ࡣ㸪ࠕᏛ⾡┠ⓗࠖ࡜ࠕၟᴗ┠ⓗࠖࡢ㛫࡟࠶ࡿࠕබඹⓗ࡞┠ⓗࠖࢆ࡝࠺ぢࡿࡢ࠿࡟ࡘ࠸࡚㸪␃ពࡋ࡚࠾ࡃ࡭ࡁ࡛࠶ࢁ࠺㸬 ࡞࠾㸪ࡇࡢࡼ࠺࡞බⓗ฼⏝ࢆ⪃࠼ࡿ㝿࡟ࣄࣥࢺ࡟࡞ࡾࡑ࠺࡞ྲྀࡾ⤌ࡳ࡜ࡋ࡚㸪እ㒊ࢥࣥࢧࣝࢱࣥࢺࡀㄪᰝ೔⌮ࡢ┦ㄯࢆㄳࡅ㈇ࡗ࡚࠸ࡿ஦౛ࡢሗ࿌ࢆྲྀࡾ࠶ࡆࡓ࠸㸬ࡇࢀࡣ኱Ꮫእࡢ
ࢥࣥࢧࣝࢱࣥࢺ࡜ࡋ࡚௙஦ࢆ⾜࠺ Kim Love ࡀ㸪ࢹ࣮ࢱࡸㄪᰝ࡟࠾ࡅࡿ೔⌮ⓗၥ㢟ࡸᅔ㞴࡟ࡘ࠸࡚ࡢ┦ㄯࢆ࠺ࡅ㸪ࡑࢀ࡟࢔ࢻࣂ࢖ࢫࢆࡋ࡚࠸ࡿ࡜࠸࠺ሗ࿌࡛࠶ࡗࡓ㸬Kim ࡣ⤫ィᏛ࡛ࡢ༤ኈྕࢆྲྀᚓᚋ኱Ꮫ࡟໅ົࢆ⤒࡚⊂❧ࡋ㸪ASA ࡢ⤫ィࢥࣥࢧࣝࢸ࢕ࣥࢢࡢࢭࢡࢩࣙࣥ
࡛ࡶάືࡋࡓ⤒㦂ࡀ࠶ࡿ㸬୍᪉㸪Ꮫ⾡ᴗ⏺࡛ࡣ࡞࠸ࢡࣛ࢖࢔ࣥࢺࡶᑐᛂࡋ࡚࠸ࡿ᪨ࡀ⮬㌟ࡢ
ࢧ࢖ࢺ࡟᭩࠿ࢀ࡚࠾ࡾ㸪ࡲࡉ࡟Ꮫ⾡ⓗ࡞ࢹ࣮ࢱ฼⏝࡜ࡑࢀ௨እࡢ฼⏝ࡢ୧᪉ࢆࡘ࡞ࡄ࣏ࢪ
ࢩࣙࣥ࡟࠸ࡿ㸬ࡑࡋ࡚ࡇࡢࡼ࠺࡞௙஦ࡸㄪᩚ࡟ࡶᑓ㛛ᐙࡀᏑᅾࡋ࠺ࡿ࡜࠸࠺ࡇ࡜ࡣ㸪බඹⓗ㹙㈨ᩱ㹛ᾏእࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢືྥ 4 (35)࡞┠ⓗ࡛ࡢㄪᰝࢹ࣮ࢱࡢᢅ࠸ࢆಁ㐍ࡋ࡚࠸ࡿ࡜᥎ ࡛ࡁࡿ㸬IASSIST ࡟࠾ࡅࡿࢹ࣮ࢱࣛ࢖
ࣈࣛࣜ࢔ࣥࡸࢹ࣮ࢱ࢔࣮࢟ࣅࢫࢺࡢᐇ㊶౛ࡢሗ࿌࠿ࡽࡶ㢧ⴭ࡛࠶ࡗࡓࡀ㸪ࢹ࣮ࢱࢆᢅ࠺㝿࡟◊✲⪅௨እࡢᑓ㛛⫋ࡢ඘ᐇࢆᅗࡿࡇ࡜ࡶࡲࡓ㸪௒ᚋࡢࢹ࣮ࢱά⏝࡟࠾࠸࡚୙ྍḞ࡛࠶ࢁ࠺㸬Ϫ ࢹ࣮ࢱࢧ࢖࢚ࣥࢫᩍ⫱࡟࠾ࡅࡿ⪃࠼᪉ࡢఏ㐩 ḟ࡟ᩍ⫱ࡢྲྀࡾ⤌ࡳ࡟ࡘ࠸࡚ぢ࡚࠸ࡇ࠺㸬IASSIST ࡟࠾࠸࡚ࡶ⤫ィᩍ⫱ࡢᤵᴗྲྀࡾ⤌ࡳࡢඹ᭷࡟㛵ࡍࡿࢭࢵࢩࣙࣥࡀᣢࡓࢀ࡚࠸ࡓࡀ㸪JSM ࡟࠾࠸࡚ࡶྠᵝࡢࢭࢵࢩࣙࣥࡀ࠸ࡃࡘ
ࡶ⤌ࡲࢀ࡚࠸ࡓ㸬ࡇࡇ࡛ࡣ㧗➼ᩍ⫱㸦኱Ꮫᩍ⫱㸧࡟࠾࠸࡚㸪⤫ィᡭἲࡢఏ㐩ࡼࡾࡶ࠸࠿࡟⮬ศ࡛ࢹ࣮ࢱࢆ᥈ࡋ㸪ࢹ࣮ࢱฎ⌮ࢆࡋ㸪ྍど໬ࡋ㸪ゎ㔘ࡍࡿࡢ࠿࡜࠸࠺Ⅼࢆᙉㄪࡍࡿ࢝ࣜ࢟ࣗ
࣒ࣛࡸᐇ㊶࡟ࡘ࠸࡚⤂௓ࡋࡓ࠸㸬㏻ಙ⎔ቃࡸ⤫ィࢯࣇࢺࡢⓎᒎ㸪࠶ࡿ࠸ࡣ࣮࢜ࣉࣥࢹ࣮ࢱ᥎㐍ࡢὶࢀ࡟ᚑ࠸㸪ࡔࢀ࡛ࡶ࢔ࢡ
ࢭࢫ࡛ࡁࡿࢹ࣮ࢱࡀቑ࠼ࡓࡓࡵ㸪ᤵᴗෆ࡛ᩍဨࡀ๓ฎ⌮ࢆࡋ࡚ᥦ౪ࡍࡿࡼ࠺࡞ᩚࡗࡓࢹ࣮
ࢱ࡛ࡣ࡞࠸ࢹ࣮ࢱࢯ࣮ࢫ࡟Ꮫ⏕ࡀ┤᥋ゐࢀࡿࡇ࡜ࡀྍ⬟࡟࡞ࡗࡓ㸬ࡑࡇ࡛㸪⤫ィᏛࡸࢹ࣮ࢱ
ࢧ࢖࢚ࣥࢫࡢᑓᨷ࡟࠾࠸࡚㸪ᐇ㦂ᐊⓗ࡞≧ἣ࡛ࡣ࡞ࡃࡼࡾᐇ㊶࡟㏆࠸ᙧ࡛ᒎ㛤ࡉࢀࡿᤵᴗ
᪉ἲ࡟ࡘ࠸࡚ࡢሗ࿌ࡀ」ᩘ࡞ࡉࢀࡓ㸬ࡑࢀࡽࡢᤵᴗ࡛ࡣ㸪ࢹ࣮ࢱࢆぢࡿ㝿ࡢ຺㸦intuition㸧ࡸࢹ࣮ࢱࢆᢅ࠺㝿ࡢᛮ⪃ἲࢆඹ᭷ࡍࡿࡇ࡜ࡀ୺║࡟⨨࠿ࢀ࡚࠸ࡓ㸬ࡶࡕࢁࢇ㸪࡯࠿࡟ᇶ♏ࡢ⤫ィᩍ⫱ࡢ⛉┠ࢆᒚಟࡋ࡚࠸ࡿࡇ࡜ࡀ๓ᥦ࡜࡞ࡿ࡜ࡣ࠸࠼㸪ࡼࡾᐇ⩦ⓗ࣭ᐇ㊶ⓗ࡞ྲྀࡾ⤌ࡳࢆᏛ఍࡟࡚✚ᴟⓗ࡟ඹ᭷ࡍࡿࡇ࡜ࡣ㸪⯆࿡῝࠸㸬 ౛࠼ࡤ㸪Ꮫ⏕ࡀᥦฟࡋࡓࢹ࣮ࢱ࡜ࡑࡢゎ㔘࡟ࡘ࠸࡚࡝ࡢࡼ࠺࡞㛫㐪࠸ࢆࡼࡾホ౯ࡍࡿࡢ࠿࡜࠸࠺ၥ࠸࠿ࡅ࠿ࡽ㸪Ꮫ⏕ࡢホ౯ࡢၥ㢟࡟ࡘ࠸࡚ࡢሗ࿌ࡀ࠶ࡗࡓ㸬ࡑࡇ࡛ࡣ㸪ձṇࡋ࠸ᩘ್ࢆᑟࡁฟࡋࡓࡶࡢࡢࡑࡢゎ㔘ࢆ㛫㐪࠼ࡓ⟅᱌㸪ղ㛫㐪ࡗࡓᩘ್ࢆᑟࡁฟࡋࡓࡀࡑࡢゎ㔘ࡣ⤖ᯝ࡜ࡋ࡚ṇゎ࡜୍⮴ࡋ࡚࠸ࡓ⟅᱌㸪ճฟ㢟⪅ࡀ᝿ᐃࡋ࡚࠸࡞࠿ࡗࡓィ⟬᪉ἲ࡛ᑟࡁฟ
ࡋࡓᩘ್࠿ࡽṇゎ࡜୍⮴ࡍࡿᅇ⟅ࢆᑟ࠸ࡓ⟅᱌ࡢ 3 ࡘࡀ࠶ࡗࡓ࡜ࡁ㸪ࡇࡢ஦౛ࡢሗ࿌⪅ࡣճࡢᅇ⟅ࢆ᭱ࡶホ౯ࡍ࡭ࡁࡔ࡜⪃࠼࡚࠸ࡓ㸬ࡘࡲࡾ㸪☜࠿࡟Ꮫࢇࡔᡭἲࢆ㐺ษ࡟౑࠺ࡇ࡜ࡣ
኱ษࡔࡀ㸪ࡑࡢᛮ⪃᪉ἲࡸ➽㐨ࡢ❧࡚᪉ࢆ⩦ᚓࡋ࡚࠸ࢀࡤ㸪ᑟࡁฟࡋ࡚ࡶᵓࢃ࡞࠸㸪࡜࠸࠺⪃࠼࡛࠶ࡿ㸬ࡘࡲࡾㄽ⌮ⓗ࡞⤖ㄽࢆᑟࡅࡿࡇ࡜ࡣᮏ᮶タᐃࡉࢀ࡚࠸ࡓ௬ㄝ᳨ᐃࢆࡍࡿࡼࡾࡶ㔜せ࡞ሙྜࡀ࠶ࡿ࡜࠸࠺ࡢࡀሗ࿌⪅ࡢ୺ᙇ࡛࠶ࡾ㸪ࡑࡢࡓࡵࡢᩍ⫱ࢆ⾜ࡗ࡚࠸ࡿࡢ࡛࠶ࡿ㸬 ࡇࡢࡼ࠺࡞ᐇ㊶ࡢ᰿ᣐ࡜ࡋ࡚ᣲࡀࡗ࡚࠸ࡓࡢࡣ㸪࢔࣓ࣜ࢝⤫ィᏛ఍ࡀฟࡋ࡚࠸ࡿ࢞࢖ࢻ
ࣛ࢖ࣥ GAISE㸦Guidelines for Assessment and Instruction in Statistics Education㸧࣏࣮ࣞࢺ࡛࠶ࡿ㸬ࡇࡢ࢞࢖ࢻࣛ࢖ࣥࡣ㸪ࢱ࢖ࢺࣝ࡟ࡶ࠶ࡿࡼ࠺࡟㸪ᩍᤵἲࡔࡅ࡛ࡣ࡞ࡃホ౯ࡢ᪉ἲࡶྲྀࡾୖࡆ࡚࠸ࡿ㸬ࡇࡢ࢞࢖ࢻࣛ࢖ࣥࡣ᪥ᮏࡢࠕ⤫ィᩍ⫱㐃ᦠࢿࢵࢺ࣮࣡ࢡࠖ࡟࠾࠸࡚
ࡶ⤂௓ࡉࢀ࡚࠾ࡾ㸪2005 ᖺ∧ࡣ㑥ヂࡀබ㛤ࡉࢀ࡚࠸ࡿ 1)㸬ࡓࡔࡋ GAISE ࡣ 2016 ᖺ࡟ᨵゞ∧ࡀබ㛤ࡉࢀ࡚࠾ࡾ㸪ࡇࡇ࡛⤂௓ࡍࡿ஦౛ࡣ 2016 ᖺ∧ࡢ᪉㔪࡟ᇶ࡙ࡃ 2)ࠋఱࢆᩍ࠼ࡿ࠿࡛
ࡣ࡞ࡃ࠸࠿࡟ᩍ࠼ࡿ࠿࡟↔Ⅼࢆᙜ࡚ࡓ⤫ィⓗᛮ⪃ࡢᩍ⫱ࡣ㸪2016 ᖺ∧࡟᪂ࡓ࡟㏣ຍࡉࢀࡓ㡯┠࡛࠶ࡿࠋ
JSM ࡢᩍᤵἲࡸᤵᴗᐇ㊶࡟㛵ࡍࡿሗ࿌࡛ඹ᭷ࡉࢀ࡚࠸ࡓࡢࡣ㸪ㄽ⌮ⓗᛮ⪃ἲ࡜ࡋ࡚ࡢ⤫(36) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕィᏛࢆ࠸࠿࡟ᩍ࠼ࡿࡢ࠿㸪ࡑࡋ࡚ࡑࢀࢆᏛ⏕ࡀ⮬୺ⓗ࡟౑࠼ࡿࡼ࠺࡟ᤵᴗ࡛࡝࠺ࡍࢀࡤ࠸
࠸ࡢ࠿࡜࠸࠺ࡇ࡜࡛࠶ࡿ㸬⤫ィࡀᢏ⾡ࡸᡭἲ࡜ࡋ࡚ࡔࡅ࡛ࡣ࡞ࡃ㸪ᛮ⪃ࡸဴᏛ࡜ࡋ࡚ᢅࢃࢀ
࡚࠸ࡿ࡜ࡶ࠸࠼ࡿ㸬ᡭἲࡔࡅ࡞ࡽࡤ⊂Ꮫ࡛ࡁࡿ࠿ࡶࡋࢀ࡞࠸ࡀ㸪࡝࠺⪃࠼ࡿࡢ࠿࡟ࡣ◊✲⪅࡛࠶ࡿᩍဨࡸ࢔ࢩࢫࢱࣥࢺ㸪࠶ࡿ࠸ࡣ௚ࡢᏛ⏕࡜ࡢ㆟ㄽࡀ୙ྍḞ࡛࠶ࢁ࠺㸬ᐇ㝿㸪ࢹ࣮ࢱ࡟㛵ࡍࡿࢹ࢕ࢫ࢝ࢵࢩࣙࣥࢆྲྀࡾධࢀࡓ⤖ᯝ㸪ࡑࢀ࡟✚ᴟⓗ࡟ཧຍࡋࡓᏛ⏕ࡢ᪉ࡀᡂ⦼ࡣⰋ
࠿ࡗࡓ࡜࠸࠺ᤵᴗ࡟㛵ࡍࡿሗ࿌ࡶ࠶ࡗࡓ㸬 ࡇࡢࡼ࠺࡟ᛮ⪃ἲ࡜ࡋ࡚ࡢ⤫ィࢹ࣮ࢱࡢά⏝࡜ࡋ࡚㸪CSI ࡢᴗົ࡜ࡢ㛵㐃࡛ࡣ㸪ࡍ࡛࡟ᐇ㊶ࡋ࡚࠸ࡿ♫఍ㄪᰝࢹ࣮ࢱά⏝ࢭ࣑ࢼ࣮ࡢྲྀࡾ⤌ࡳࡀ࠶ࡆࡽࢀࡼ࠺㸬≉࡟➨ 2࣭3 ᅇ┠ࡢᛂ⏝⦅ࡢࢭ࣑ࢼ࣮࡟࠾࠸࡚ࡣ㸪ࢹ࣮ࢱࡢ๓ฎ⌮ࡢ᪉ἲࡸࡑࡢㄽ⌮࡟ࡘ࠸࡚ࡢㄝ᫂ࢆ㔜どࡋࡓᵓᡂ࡜ࡋ࡚⾜ࡗ࡚࠸ࡿ㸬༢Ⓨࡢㅮᗙ࡟ࡣ࠶ࡿ⛬ᗘ㝈⏺ࡀ࠶ࡿ࡜ࡣ࠸࠼㸪⊂Ꮫ࡛࠶ࡿ࡜ࡘࡲࡎ
ࡁࡀࡕ࡞⪃࠼᪉࡟ࡘ࠸࡚ඹ᭷ࡍࡿሙࡣ㸪࢜ࣥࣛ࢖࡛ࣥࡢ⮬Ꮫ⮬⩦ࢶ࣮ࣝࢆ⿵ຓࡍࡿࡶࡢ࡜
ࡋ࡚⪃࠼ࡽࢀࡼ࠺㸬࠶ࡿ࠸ࡣ㸪እ㒊ࡢ◊✲⪅ࢆᣍ࠸࡚ࡢࣇ࢛࣮࣒ࣛࡶ㸪⊂Ꮫ࡛ࡣ㞴ࡋ࠸ඛ➃ⓗ࡞ᡭἲ࡟ࡘ࠸࡚㸪ࡑࡢ⪃࠼᪉ࢆ୰ᚰ࡟ゎㄝࢆࡋ࡚ࡶࡽࡗ࡚࠾ࡾ㸪⤫ィࡢ⪃࠼᪉ࢆඹ᭷ࡋ࠺
ࡿሙ࡜࡞ࡗ࡚࠸ࡿ㸬௒ᚋࡣ CSI ࡢࢭ࣑ࢼ࣮ࡸࢥࣥࢸࣥࢶࢆᩚ⌮ࡍࡿ୰࡛ྛྲྀࡾ⤌ࡳྠኈࡢ㐃ᦠࢆᅗࡾ㸪ㄪᩚࡸぢ┤ࡋࡶど㔝࡟ධࢀࡓ஦ᴗタィࡀᚲせ࡛࠶ࢁ࠺㸬௒ᖺࡣࢭ࣑ࢼ࣮ࡶࣇ࢛࣮࣒ࣛࡶ࢜ࣥࣛ
࢖࡛ࣥᐇ᪋ࡋࡓࡀ㸪ḟᖺᗘ௨㝆ࡣᑐ㇟⪅ࡸ㞴᫆ᗘ࡟ᛂࡌ࡚ᑐ㠃࣭࢜ࣥࣛ࢖ࣥࢆే⏝ࡋ࡚࠸ࡃࡇ࡜ࡶ᳨ウࡋ࡚࠸ࡁࡓ࠸㸬ϫ Web ㄪᰝ CSI ࡛ࡣᚑ᮶㸦≉࡟࢜ࣥࢹ࣐ࣥࢻ⛉┠࡟࠾࠸࡚㸧web ㄪᰝ࡟㛵ࡍࡿၥ㢟Ⅼࢆᣦ᦬ࡋ࡚࠾
ࡾ㸪↓సⅭᢳฟㄪᰝࢆ༙ࡤ⤯ᑐどࡍࡿጼໃࢆ⥔ᣢࡋ࡚ࡁࡓ㸬ࡋ࠿ࡋ࡞ࡀࡽ㸪web ㄪᰝࡣᣑ኱
ࡢ୍㏵ࢆࡓ࡝ࡗ࡚࠸ࡿ㸬᪥ᮏᏛ⾡఍㆟ࡀࠕweb ㄪᰝࡢ᭷ຠ࡞Ꮫ⾡ⓗά⏝ࢆ┠ᣦࡋ࡚ࠖ࡜࠸࠺
ሗ࿌᭩ࢆࡲ࡜ࡵ㸪♫఍Ꮫホㄽ࡛ࡣ web ㄪᰝ࡟㛵ࡍࡿ≉㞟ࡀ⤌ࡲࢀ࡚࠸ࡿ㸬ᅜෆእࡢᰝㄞㄽ
ᩥ࡛ࡶ㸪web ㄪᰝࢆ⏝࠸ࡓㄽᩥࡣቑ࠼ࡘࡘ࠶ࡿ㸦e.g., ▼⏣, 2016; Schachter, 2016㸧㸬RUDA
࡟ࡶ web ㄪᰝ఍♫ࢆ⏝࠸ࡓㄪᰝࡢᐤクࡀ௒ᚋቑຍࡍࡿࡇ࡜ࡀண᝿ࡉࢀࡿ㸬ࡑࡢࡓࡵ㸪ㄪᰝࡢ≉ᛶ㸪↓సⅭᢳฟㄪᰝ࡜ࡢẚ㍑㸪ࡑࡋ࡚ၥ㢟Ⅼࡢඞ᭹᪉ἲ࡟ࡘ࠸࡚ᩚ⌮ࡋ࡚࠾ࡃᚲせࡀ࠶ࡿࡔࢁ࠺㸬
1. බⓗᶵ㛵࡟ࡼࡿ web ㄪᰝࡢ฼⏝ Web ㄪᰝ࡜ࡣᚲࡎࡋࡶ᏶඲࡟㔜」ࡋ࡞࠸ࡀ㸪computer-assisted survey informationcollection㸦CASIC㸧ࡢᾐ㏱࡟ࡘ࠸࡚ࡢሗ࿌ࡀ」ᩘ⾜ࢃࢀ࡚࠸ࡓ㸬CASIC ࡜ࡣᚑ᮶ࡢㄪᰝ᪉
ἲ࡟ᑐࡋ࡚ࢥࣥࣆ࣮ࣗࢱ࣮࡟ࡼࡿ⿵ຓࢆ᪋ࡋࡓࡶࡢ࡛࠶ࡾ㸪౛࠼ࡤࢱࣈࣞࢵࢺ➃ᮎ࡛ㄪᰝ⚊࡬ࡢᅇ⟅ࢆ཰㞟ࡍࡿࡶࡢࢆᣦࡍ㸬࢔࣓࡛ࣜ࢝ࡣ㸪consumer expenditure survey㸦᪥ᮏ࡛࠸࠺඲ᅜᾘ㈝ᐇែㄪᰝ㸧ࡢ཰㞟ࢆᐇ㦂ⓗ࡟ CASIC ࡛⾜ࡗ࡚࠾ࡾ㸪ࡑࡢᡂᯝࡀ」ᩘሗ࿌ࡉࢀ
࡚࠸ࡓ㸬ᚋ㏙ࡍࡿᅜໃㄪᰝ࡜ࡶ࡝ࡶ㸪ᨻᗓ⤫ィᡭἲࡀ௒ᚋ኱ࡁࡃኚࢃࡗ࡚࠸ࡃ࡜ᛮࢃࢀࡿ㸬 ࢔࣓࡛ࣜ࢝ᐇ㦂ⓗ࡟⾜ࢃࢀࡓ consumer expenditure survey ࡛ࡣ㸪ᅇ⟅⪅ࡀ web ࡢ⮬グᘧ㸪ᑐ㠃ࡢ௚グᘧ㸪㟁ヰࡢ௚グᘧࡢ 3 ࡘ࠿ࡽᅇ⟅᪉ἲࢆ㑅ᢥ࡛ࡁࡿࡼ࠺࡟࡞ࡗ࡚࠸ࡿ㸬web㹙㈨ᩱ㹛ᾏእࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢືྥ 4 (37)ࡢ⮬グᘧࡣ㸪ᐙ࡛࢜ࣥࣛ࢖ࣥ࡟࢔ࢡࢭࢫ࡛ࡁ㸪㐌࡟ 1,2 ᅇࡣ࢜ࣥࣛ࢖ࣥ࡟࢔ࢡࢭࢫࡋ㸪ⱥㄒヰ⪅࡛࠶ࡿࡇ࡜ࡀ᮲௳࡜ࡉࢀࡓ㸬ᅇ⟅⪅ࡢᒓᛶࡣ㸪㟁ヰ௚グᘧࢆ㑅ࡪᅇ⟅⪅࡜ web ⮬グᘧࢆ㑅ࡪᅇ⟅⪅ࡢᒓᛶࡀఝࡓഴྥ࡟࠶ࡾ㸪௚᪉࡛ᑐ㠃௚グᘧࢆ㑅ࡪᅇ⟅⪅ࡣࡇࢀࡽ 2 ࡘࡢ᪉ᘧ࡜ẚ㍑ࡋ≉ᚩⓗ࡞ഴྥࢆᣢࡗ࡚࠸ࡓ㸬ᑐ㠃ࡣ㧗㱋ᒙ㸪పᏛṔ㸪ప཰ධࡀከࡃ㸪㟁ヰ௚グᘧ࣭
web ⮬グᘧࡣⱝᖺᒙ㸪㧗ᏛṔ㸪㧗཰ධࡀከ࠸ࡼ࠺࡛࠶ࡗࡓ㸬࢚ࢫࢽࢩࢸ࢕ࡣⓑேࡀ web ⮬グᘧࢆ㑅ᢥࡍࡿഴྥ࡟࠶ࡾ㸪ࣄࢫࣃࢽࢵࢡࡣᑐ㠃ࢆ㑅ᢥࡍࡿഴྥ࡟࠶ࡗࡓ㸬ࡇࢀࡣゝㄒࡢၥ㢟࠿ࡽࡃࡿ࡜⪃࠼ࡽࢀࡿ㸬 web ⮬グᘧ࡛ࡣ㸪ࣃࢯࢥࣥࡸࢫ࣐࣍࠿ࡽ୍᪥ࡢ㉎ධグ㘓ࢆධຊ࡛ࡁࡿࡼ࠺࡟࡞ࡗ࡚࠸ࡿ㸬ရ┠ࡢ኱ศ㢮ࡀ࢔࢖ࢥ࡛ࣥ⾲♧ࡉࢀ㸪㑅ᢥ⫥ࢆࡓ࡝ࡿࡈ࡜࡟⣽ศ໬ࡉࢀ࡚࠸ࡃ㸦e.g., ࢔ࣝࢥ࣮ࣝ㸪࡝ࡢࡼ࠺࡞ရ┠ࡔࡗࡓ࠿㸦࣡࢖ࣥ㸪ࣅ࣮ࣝ㸪࡞࡝㸧㸪ࡑࡢ್ẁ㸪᥇ࡗࡓࡢࡀᮅ㣗࠿࡝࠺࠿࡞࡝㸧㸬୍᪥ࡢ⥲ᨭฟࡶ㜀ぴ࡛ࡁࡿࡼ࠺࡟࡞ࡗ࡚࠸ࡿ㸬ࡲࡓ consumer expenditure
survey ࡬ࡢཧຍㅰ♩ࢆ 5 ࢻࣝ୚࠼ࡿ࠿ྰ࠿࡜࠸࠺㏣ຍᐇ㦂ࢆ⾜ࡗ࡚࠸ࡓࡀ㸪࢖ࣥࢭࣥࢸ࢕
ࣈࡣᅇ⟅⋡࡟ຠᯝࡀ࡞࠸ࡇ࡜ࡀ᫂ࡽ࠿࡟ࡉࢀࡓ㸬 ᅇ⟅ࡢ㈇ᢸឤ࡟㛵ࡋ࡚ࡣ㸪⮬グᘧࡀ᭱ࡶపࡃ㸪௚グᘧࡔ࡜㈇ᢸឤࢆឤࡌࡿࡼ࠺࡛࠶ࡗࡓ㸬ᅇ⟅࡟㈝ࡸࡍ᫬㛫ࡣᅇ⟅࣮ࣔࢻ㛫࡛኱ࡁ࡞㐪࠸ࡀ࡞࠿ࡗࡓࡶࡢࡢ㸪web ⮬グᘧࡢᅇ⟅⪅ࡣᡤせ᫬㛫ࢆ㛗࠸࡜ᛮࢃ࡞࠸ഴྥ࡟࠶ࡿࡼ࠺࡛࠶ࡗࡓ㸬࠶ࡃࡲ࡛័ࢀ࡛࠶ࡿ࡜ᛮࢃࢀࡿࡀ㸪ᅇ⟅⪅࡟ࡼࡗ࡚ࡣ web ㄪᰝࡢ᪉ࡀ㈇ᢸࡀᑡ࡞࠸ㄪᰝ࣮ࣔࢻ࡛࠶ࡿ࡜࠸࠼ࡿ㸬2. web ㄪᰝࡢㄗᕪ
 Web ㄪᰝࡀᚲࡎࡋࡶ↓సⅭᢳฟ࡜┦཯ࡍࡿࢃࡅ࡛ࡣ࡞࠸㸬౛࠼ࡤ↓సⅭ࡟ᅇ⟅⪅ࢆ㑅ᢥࡋࡓୖ࡛㸪㑅ࡤࢀࡓᅇ⟅⪅ࢆ web ࣔࢽࢱ࣮࡜ࡋ࡚Ⓩ㘓ࡋ࡚ࡶࡽ࠼ࡤ㸪↓సⅭᢳฟㄪᰝ࡜࠸
࠼ࡿࡔࢁ࠺㸬ࡋ࠿ࡋ࡞ࡀࡽ⌧ᅾࡢ᪥ᮏ࡛ࡣ㸪࡯ࡰࡍ࡭࡚ࡢ web ㄪᰝ఍♫࡛ࡣ㸪₯ᅾⓗ࡞ᅇ⟅⪅ࡀ⮬Ⓨⓗ࡟ web ࣔࢽࢱ࣮࡜ࡋ࡚ཧຍࡋ࡚࠾ࡾ㸪ㄪᰝ఍♫ࡣࡑࡢࣔࢽࢱ࣮ࡢࣉ࣮ࣝ࠿ࡽ
ᅇ⟅⪅ࢆເࡗ࡚࠸ࡿ㸬ࡇ࠺ࡋࡓ⌮⏤࠿ࡽ⌧ᅾࡢ᪥ᮏࡢ web ㄪᰝࡣ࠸ࢃࡺࡿ↓సⅭᢳฟㄪᰝ࡜ࡣ␗࡞ࡗ࡚࠸ࡿ࡜⪃࠼ࡽࢀࡿ㸬 ࡑࢀ࡛ࡣ㸪ࡑࡢ㐪࠸ࡀᐇ㉁ⓗ࡞ၥ㢟࡜ࡋ࡚ᢅࢃࢀࡿ࡭ࡁ࠿ࢆ࡝࠺Ỵࡵࢀࡤ࠸࠸ࡢ࠿㸬JSMࡢሗ࿌ࡢ୍ࡘ࡟㸪↓సⅭᢳฟㄪᰝ࡜ web ㄪᰝࡢ㛫ࡢㄗᕪࢆ᳨ฟࡍࡿ᪉ἲࢆẚ㍑ࡋࡓࡶࡢࡀ
࠶ࡗࡓ㸬2 ࡘࡢㄪᰝࡢኚᩘࡢᖹᆒ್࡜ᶆ‽೫ᕪࢆ normalized root-mean-square error(NRMSE)࡜ bias ratio (BR)࡜ࢆ⏝࠸࡚ẚ㍑ࡋ㸪ㄗᕪࡢ⛬ᗘࢆᐃࡍࡿ࡜࠸࠺ࡶࡢ࡛࠶ࡗࡓ㸬 ௬࡟↓సⅭᢳฟㄪᰝ࡜ web ㄪᰝ㸦㠀☜⋡ᢳฟ㸧ࡢ㛫࡟኱ᖜ࡞ㄗᕪࡀ࠶ࡿሙྜ࡟ࡣ㸪࣐ࢵࢳࣥࢢࢆ⏝࠸࡚ㄗᕪࡢಟṇࢆࡍࡿࡇ࡜ࡀᥦၐࡉࢀ࡚࠸ࡓ㸬↓సⅭᢳฟ㞟ᅋ㛫ࡢ࣐ࢵࢳࣥࢢ
Hot deck㸪Quasi-randomizationࡢ᪉ἲࢆẚ㍑᳨ウࡋ࡚࠸ࡿሗ࿌ࡀ࠶ࡾ㸪ࡑࡇ࡛ࡣ K ㏆ഐἲ㸪ࢆẚ㍑ࡋ࡚࠸ࡓ㸬᭱⤊ⓗ࡟ࡣ Quasi-randomization ࡀ᭱ࡶࡼࡃㄗᕪࢆゎᾘࡍࡿࡇ࡜ࡀ♧ࡉࢀ࡚࠸ࡓ㸬Quasi-randomization ࡣ኱㞧ᢕ࡟࠸࠼ࡤ㸪↓సⅭᢳฟ࡛཰㞟ࡉࢀࡓࢧࣥࣉࣝࢆཧ
↷㞟ᅋ࡜ࡋ㸪web ㄪᰝ࡛཰㞟ࡉࢀࡓࢧࣥࣉࣝࡀࢧࣥࣉࣝ࡜ࡋ࡚㑅ࡤࢀࡿ☜⋡࡟㔜ࡳ௜ࡅࡿ᪉ἲ࡛࠶ࡿ㸬R ࡢ Survey ࡜࠸࠺ࣃࢵࢣ࣮ࢪࡢ svyglm㸪
MASS ࡜࠸࠺ࣃࢵࢣ࣮ࢪࡢ StepAICࢆ౑࠸ᐇ⿦ྍ⬟࡜࠸࠺ࡇ࡜࡛࠶ࡗࡓ㸬ࡇ࠺ࡋࡓ᪉ἲࢆྲྀࡾධࢀࡘࡘ㸪௒ᚋࡣ RUDA ࡟࠾࠸࡚ࡶ web ㄪᰝࡢ࢔࣮࢝࢖ࣈࢆ᥎㐍ࡍࡿࡇ࡜ࡀྍ⬟࡛࠶ࡿ࡜⪃࠼ࡽࢀࡿ㸬

(38) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕϬ ᕪศࣉࣛ࢖ࣂࢩ࣮ ᕪศࣉࣛ࢖ࣂࢩ࣮㸦differential privacy㸧࡟ࡘ࠸࡚ࡢ㆟ㄽࡶ┒ࢇ࡟⾜ࢃࢀ࡚࠸ࡓ㸬ᕪศࣉࣛ࢖ࣂࢩ࣮࡜ࡣ㸪ࣛࣥࢲ࣒࡟཰㞟ࡋࡓࢧࣥࣉࣝ࡟ᑐࡋ࡚ࡉࡽ࡟ࣛࣥࢲ࣒ࢿࢫࢆຍ࠼ࡿ᪉ἲ
࡛࠶ࡾ㸪බ㛤ࡉࢀࡓㄪᰝ࠿ࡽಶேࡀ≉ᐃࡉࢀ࡞࠸ࡼ࠺࡟ࡍࡿࡶࡢ࡛࠶ࡿ㸬⌧ᅾබ㛤ࡉࢀ࡚࠸ࡿ♫఍ㄪᰝࡣ༏ྡ໬ࡀ࡞ࡉࢀ࡚࠾ࡾ㸪⌧ẁ㝵࡛ࡶ༑ศ࡟ಶேࢆ≉ᐃ࡛ࡁ࡞࠸ࡼ࠺࡟࡞ࡗ࡚
࠸ࡿ࡜ࡶ࠸࠼ࡿ㸬ࡋ࠿ࡋ࡞ࡀࡽ㸪౛࠼ࡤ Gary King ࡀ୺ᑟࡍࡿ Facebook ࢹ࣮ࢱࡢබ㛤ࡸ㸪ᅜໃㄪᰝࡢᏛ⾡฼⏝㸪ࡲࡓࡣࣅࢵࢢࢹ࣮ࢱ࡟௦⾲ࡉࢀࡿಶேࡢヲ⣽࡞ࢹ࣮ࢱ࡞࡝㸪࣮࢜ࣉࣥࢧ࢖࢚ࣥࢫ໬ࡢὶࢀࡢ୰࡛ᚑ᮶࡛ࡣබ㛤ࡉࢀ࡞࠿ࡗࡓࢹ࣮ࢱࡀ฼⏝ྍ⬟࡟࡞ࡗ࡚ࡁ࡚࠾ࡾ㸪ࣉࣛ࢖ࣂࢩ࣮࡜ࡢࣂࣛࣥࢫࢆ௒ࡲ࡛௨ୖ࡟⪃៖ࡍࡿᚲせࡀฟ࡚ࡁ࡚࠸ࡿ㸦Dennis, et al.,2019㸧㸬ᕪศࣉࣛ࢖ࣂࢩ࣮ࡣ㸪཰㞟ࡉࢀࡓࢹ࣮ࢱ࡟ᑐࡋ࡚ࣛࣥࢲ࣒࡟Ⓨ⏕ࡉࡏࡓࣀ࢖ࢬࢆຍ
࠼ࡿࡇ࡜࡛㸪ಶேࡢ≉ᐃࢆᅔ㞴࡟ࡉࡏࡿᡭἲ࡛࠶ࡿ㸬ᚲࡎࡋࡶࡍ࡭࡚ࡢ♫఍ㄪᰝ࡟ᑐࡋ࡚ᛂ
⏝ࡉࢀࡿ⪃࠼᪉࡛ࡣ࡞ࡃ㸪౛࠼ࡤ European Social Survey ࡜࠸ࡗࡓ᪤Ꮡࡢ኱つᶍ♫఍ㄪᰝ࡟ᑐࡍࡿᛂ⏝ࡣ⌧ᐇⓗ࡞ࡶࡢ࡜ࡋ࡚⪃࠼ࡽࢀ࡚࠸࡞࠸㸦Oberski & Kreuter, 2020㸧㸬ࡋ࠿ࡋ࡞ࡀࡽ୍㒊ࡢ♫఍ㄪᰝ࡟ᛂ⏝ࡉࢀጞࡵ࡚࠾ࡾ㸪᭷ྡ࡞࡜ࡇࢁ࡛ࡣ࢔࣓ࣜ࢝ࡢ 2020 ᖺࡢᅜໃㄪᰝ࡟ᑐࡋ࡚ᕪศࣉࣛ࢖ࣂࢩ࣮ࡀᛂ⏝ࡉࢀࡿࡇ࡜࡜࡞ࡗ࡚࠸ࡿ㸬 ᕪศࣉࣛ࢖ࣂࢩ࣮ࡢၥ㢟Ⅼࡣ㸪 ᐃㄗᕪࢆቑᖜࡉࡏࡿࡇ࡜࡛࠶ࡿ㸬⌧࡟࢔࣓ࣜ࢝ࡢ㐣ཤࡢᅜໃㄪᰝࡢࢹ࣮ࢱࢆ⏝࠸࡚㸪ᕪศࣉࣛ࢖ࣂࢩ࣮ࢆᛂ⏝ࡍࡿࡇ࡜࡟ࡼࡾ㸪㠀㒔ᕷ㒊࡟ఫࡴ࢚ࢫ
ࢽࢵࢡ࣐࢖ࣀࣜࢸ࢕ࡢṚஸ⋡ࢆᚑ᮶ࡢ⤫ィᡭἲ࡛ࡣṇ☜࡟ᐃ࡛ࡁ࡞ࡃ࡞ࡿ࡜ሗ࿌ࡉࢀ࡚

࠸ࡿ㸦Santos-Lozada, Howard, & Verdery, 2020㸧㸬୍᪉࡛ᕪศࣉࣛ࢖ࣂࢩ࣮࡟ࡼࡾࣀ࢖ࢬ
ࡀ୚࠼ࡽࢀࡓࢹ࣮ࢱ࡟ᑐฎࡍࡿ᪂ࡓ࡞ᡭἲࡶ㛤Ⓨࡉࢀ࡚࠾ࡾ㸦Evans & King, 2020㸧㸪ࡇ࠺ࡋࡓၥ㢟ࡣ஌ࡾ㉺࠼ࡿ᪉ྥ࡟ྥ࠿࠺࡜ண᝿࡛ࡁࡿ㸬 ᐇ⿦ྍ⬟ᛶࡣ୍᪦ၥࢃ࡞࠸࡜ࡋ࡚㸪CSI ࡟ࡶᕪศࣉࣛ࢖ࣂࢩ࣮ࡢ⪃࠼ࡀ⦕㐲࠸ࢃࡅ࡛ࡣ
࡞࠸㸬RUDA ࡟ࡣᆅᇦࢹ࣮ࢱࢆከࡃᢅ࠺≉ᚩࡀ࠶ࡿࡀ㸪ࡇ࠺ࡋࡓᆅᇦࢹ࣮ࢱࡣᚲࡎࡋࡶ᏶
඲࡟ࣉࣛ࢖ࣂࢩ࣮ࡀᏲࡽࢀ࡚࠸ࡿࢃࡅ࡛ࡣ࡞࠸㸬ࡲࡓ❧ᩍ኱Ꮫࡢ༞ᴗ⏕ࢆᑐ㇟࡟ࡋࡓㄪᰝ
࡞࡝ࡀ୍㒊₇⩦࡛ྲྀࡽࢀ࡚࠸ࡿࡀ㸪ࣉࣛ࢖ࣂࢩ࣮࡟㓄៖ࡋࡓୖ࡛ࡇࢀࡽࡢㄪᰝࢆබ㛤࡛ࡁࡿࡼ࠺࡟࡞ࡿ࠿ࡶࡋࢀ࡞࠸㸬ࡲࡓ᫖ᖺࡢࠗ♫఍࡜ㄪᰝ࠘࡟ࡣ㉁ⓗࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢᵓ᝿ࡀ
ᥖ㍕ࡉࢀࡓࡀ㸦㧘ᶫ, 2020㸧㸪ࡇࡇ࡛᭱ࡶ㔜ど࣭ၥ㢟どࡉࢀࡿࡢࡣࣉࣛ࢖ࣂࢩ࣮ࡢၥ㢟࡛࠶ࡿ㸬ᕪศࣉࣛ࢖ࣂࢩ࣮ࡢᛂ⏝࡟ࡼࡾ㉁ⓗࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢᵓ᝿ࢆ୍Ṍ๓࡟㐍ࡵࡿࡇ࡜ࡀ
࡛ࡁࡿ࠿ࡶࡋࢀ࡞࠸㸬ϭ ࡲ࡜ࡵ࡜௒ᚋ࡬ࡢᣦ㔪 ᮏ✏࡛ࡣ JSM ࡟࠾࠸࡚⤂௓ࡉࢀ࡚࠸ࡓྲྀࡾ⤌ࡳࢆ࠸ࡃࡘ࠿⤂௓ࡋࡓ㸬ᚑ᮶ཧຍࡋ࡚࠸ࡓIASSIST ࡣࢹ࣮ࢱࢆಖᏑࡍࡿࡇ࡜࡟↔Ⅼࢆᙜ࡚ࡓⓎ⾲ࡀከ࠸࡜࠸࠺༳㇟࡛࠶ࡗࡓࡀ㸪JSM࡟࠾ࡅࡿࢹ࣮ࢱࢆ౑࠺ഃࡢどⅬ࡟❧ࡗࡓⓎ⾲࡟ࡩࢀࡿࡇ࡜࡛㸪ࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢ௒ᚋ࡟
ࡘ࠸᳨࡚ウࡍࡿࡇ࡜ࡀ࡛ࡁࡿࡔࢁ࠺㸬౛࠼ࡤ㸪」ᩘࡢࢹ࣮ࢱࢆ⤌ࡳྜࢃࡏࡓୖ࡛ᭀຊ஦௳ࡢ
௳ᩘ࡞࡝ࢆ᥎

ࡍࡿ᪉ἲ࡞࡝ࡣ㸪ಖᏑࡍࡿࢹ࣮ࢱࡢ௳ᩘࡀከ࠸࡯࡝ࡼࡾຠᯝⓗ࡞ྲྀࡾ⤌ࡳ࡟࡞ࡿ࡜⪃࠼ࡽࢀࡿ㸬ࡑࡢ㝿࡟ࡣ㸪ᮏᩥ୰࡛ᣦ᦬ࡉࢀ࡚࠸ࡿࡼ࠺࡟㸪฼⏝⪅ࡢᖜࢆᗈࡆࡿࡇ

㹙㈨ᩱ㹛ᾏእࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢືྥ 4 (39)࡜ࡀ㔜せ࡜࠸࠼ࡿ㸬⌧ᅾ RUDA ࡣ฼⏝ࢆᩍ⫱࣭◊✲┠ⓗ࡟㝈ᐃࡋ࡚࠸ࡿࡀ㸪௒ᚋࡣ฼⏝ࡢᯟ⤌ࡳࢆᗈࡆࡿࡇ࡜ࡀ㔜せ࡜࡞ࡗ࡚ࡃࡿࡔࢁ࠺㸬௬࡟ಖᏑ࣭㓄ᕸࡍࡿࢹ࣮ࢱࡢ௳ᩘ࡟ព⩏ࢆぢฟࡍࡢ࡛࠶ࢀࡤ㸪web ㄪᰝ࡜࠸ࡗࡓ㠀ఏ⤫ⓗ࡞ㄪᰝࢹ࣮ࢱࢆ཰㞟࣭ಖᏑࡍࡿࡇ࡜ࡶ㔜せ࡟࡞ࡗ࡚ࡃࡿ࡜࠸࠼ࡿ㸬ࡇ࠺ࡋࡓㄪᰝࡣ↓సⅭᢳฟࡢほⅬ࠿ࡽ᠜␲ⓗ࡞┠࡛ぢࡽࢀࡿࡇ࡜
ࡀᑡ࡞ࡃ࡞࠸ࡀ㸪ᑐᛂἲࢆ⇍▱࣭࿘▱ࡍࡿࡇ࡜࡟ࡼࡗ࡚ web ㄪᰝࡢ฼Ⅼࢆά࠿ࡍࡇ࡜ࡶྍ
⬟࡟࡞ࡗ࡚ࡃࡿࡔࢁ࠺㸬 ⤫ィᩍ⫱࡜࠸࠺ព࿡࡛ࡶ㸪኱࠸࡟Ꮫࡪ㠃ࡀ࠶ࡗࡓࡢ࡛ࡣ࡞࠸࠿࡜ᛮ࠺㸬ᚑ᮶ CSI ࡛ࡣࢭ࣑ࢼ࣮ࡸࢥࣥࢧࣝࢸ࢕ࣥࢢ࡟࠾࠸࡚⤫ィᡭἲ࡟≉໬ࡋࡓྲྀࡾ⤌ࡳࢆ⾜ࡗ࡚ࡁ࡚࠸ࡿ㸬ࡋ࠿ࡋ࡞ࡀࡽᐇ㝿࡟ࡣ㸪ᡭἲ࡜Ꮫ⾡ศ㔝ࡣษࡗ࡚ࡶษࡾ㞳ࡏ࡞࠸㛵ಀ࡟࠶ࡾ㸪ᡭἲࡢࡳࢆᩍ࠼ࡿ
ࡇ࡜ࡣ∦ᡭⴠࡕ࡜⪃࠼ࡽࢀ࡚ࡶ࠾࠿ࡋࡃ࡞࠸ࡔࢁ࠺㸬↓ㄽࡇࢀࡣᏛ㒊ᩍ⫱࡟῝ࡃ㛵㐃ࡋ࡚࠸ࡿၥ㢟࡛࠶ࡿࡓࡵ CSI ༢యࡢྲྀࡾ⤌ࡳ࡜ࡋ࡚ࡣ㝈⏺ࡀ࠶ࡿࡶࡢࡢ㸪ࡼࡾᏛ⾡ศ㔝࡟㛵㐃ࡋࡓ㸪⤫ィⓗ࣭௬ㄝ᳨ᐃⓗ࡞⪃࠼᪉ࡸ㆟ㄽࡢᑟฟࡢ௙᪉࡟㔜Ⅼࢆ⨨࠸࡚ᩍ⫱ࡋ࡚ࡶⰋ࠸࠿ࡶࡋࢀ࡞࠸ࠋὀ 㸦࢙࢘ࣈࢧ࢖ࢺࡢ☜ㄆ᪥ࡣ࠸ࡎࢀࡶ 2020 ᖺ 12 ᭶ 25 ᪥㸧1) ࠕ⤫ィᩍ⫱࡟࠾ࡅࡿホ౯࡜ᣦᑟ᪉ἲ࡟㛵ࡍࡿ࢞࢖ࢻࣛ࢖ࣥ ኱Ꮫ࣏࣮ࣞࢺࠖ
㸦2005 ᖺ∧᪥ᮏㄒヂ㸧https://jinse.jp/old/pdf/doc101.pdf
2)  GAISE 2016 ᖺ∧https://www.amstat.org/asa/files/pdfs/GAISE/GaiseCollege_Full.pdfཧ⪃ᩥ⊩ᮅᒸㄔ࣭㧘ᶫ࠿࠾ࡾ㸪2019㸪ࠕᾏእࢹ࣮ࢱ࢔࣮࢝࢖ࣈࡢືྥ 2ɆɆɆIASSIST ᖺḟ኱఍ࡢሗ࿌
࠿ࡽࠖࠗ♫఍࡜⤫ィ࠘5: 33-40.
Dennis, S., Garrett, P., Yim, H., Hamm, J., Osth, A. F., Sreekumar, V., & Stone, B., 2019,“Privacy versus Open Science.” Behavior Research Methods, 51: 1839-1848.
Evans, G., & King, G., 2020, “Statistically Valid Inferences from Differentially Private
Data Releases, with Application to the Facebook URLs Dataset.” Working paper.
▼⏣῟㸪2016㸪
ࠕࠕ᪥ᮏேࠖࡢ᮲௳ࠖࠗ♫఍Ꮫホㄽ࠘67: 182-200.
Oberski, D. L., & Kreuter, F., 2020, “Differential Privacy and Social Science: An Urgent
Puzzle.” Harvard Data Science Review (in press).
Santos-Lozada, A. R., Howard, J. T., & Verdery, A. M., 2020, “How Differential Privacy
Will Affect our Understanding of Health Disparities in the United States.”

Proceedings of the National Academy of Sciences.
Schachter, A., 2016, “From “different” to “similar” an experimental approach tounderstanding assimilation.” American Sociological Review, 81: 981-1013.
㧘ᶫ࠿࠾ࡾ㸪2020㸪ࠕ㉁ⓗࢹ࣮ࢱ࢔࣮࢝࢖ࣈᵓ᝿ࡢ⌧≧࡜ㄢ㢟ɆɆᩘ್໬ࡉࢀ࡚࠸࡞࠸ㄪᰝ
ࢹ࣮ࢱࡢಖᏑ࡜ά⏝࡟ྥࡅ࡚ɆɆࠖ
ࠗ♫఍࡜⤫ィ࠘6: 65-73.

(40) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ

Summary

The Trend in Foreign Data Archives 4:
From the Presentations at the JSM Annual Conference
Akira Igarashi
Kaori Takahashi
Social research data is a public good that contributes to the development of
future societies, and thus we need to facilitate an environment in which people can use
data appropriately. This paper reports on cutting-edge research and projects presented
at the Joint Statistical Meetings held in August 2020. Based on these presentations, wesuggest future directions for the Center for Statistics and Information (CSI) and Rikkyo
University Data Archive (RUDA).
Key words: data archives, data usage, data sharing㹙ࢭࣥࢱ࣮άືሗ࿌㹛2020 ᖺᗘ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲άື➼ሗ࿌ (41)2020 ᖺᗘ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲άື➼ሗ࿌‫ ڦ‬ᨻᗓ⤫ィ㒊఍  㒊఍ู◊✲άື➼㸯㸬◊✲ㄽᩥ࣭ⴭ᭩
ⴭ᭩ྡ㸸ࠗ᪥ᮏࡢබⓗ⤫ィ࣭⤫ィㄪᰝ࠘➨ 2 ∧Ⓨ⾜ᶵ㛵㸸❧ᩍ኱Ꮫ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮Ⓨ⾜ᖺ᭶㸸 2020 ᖺ 11 ᭶ⴭ⪅Ặྡ㸸Ḉᮏ ೺࣭℈ᮏ ┿୍࣭すᯘ ຾࿃ඹⴭ༊ศ㸸ඹⴭ
ᥖ㍕ㄅྡ㸸ࠗ♫఍࡜⤫ィ ࠘➨ 6 ྕ, 25-44
ࢱ࢖ࢺࣝ㸸ࠕ࣑ࢡࣟࢹ࣮ࢱศᯒ࡜බⓗ⤫ィࢹ࣮ࢱ࣮࣋ࢫ࡟㛵ࡍࡿᒎ㛤㸫2019 ᖺᗘฟᙇሗ࿌ࢆවࡡ࡚ࠖⓎ⾜ᶵ㛵㸸❧ᩍ኱Ꮫ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮Ⓨ⾜ᖺ᭶㸸2020 ᖺ 3 ᭶ⴭ⪅Ặྡ㸸Ḉᮏ ೺࣭すᯘ ຾࿃࣭℈ᮏ ┿୍ᥖ㍕✀ู㸸ㄽᩥ
ඹⴭ༊ศ㸸ඹⴭḈᮏ ೺ ෸ᩍᤵ㸯㸬Ꮫ఍Ⓨ⾲
᪥᫬㸸2020 ᖺ 6 ᭶ 6 ᪥Ꮫ఍ྡ➼㸸⤒῭⤫ィᏛ఍ᮾ໭࣭㛵ᮾᨭ㒊 6 ᭶౛఍ሙᡤ㸸࢜ࣥࣛ࢖ࣥ
Ⓨ⾲⪅㸸Ḉᮏ ೺Ⓨ⾲ࢸ࣮࣐㸸ࠕCOVID-19 ࡟ࡼࡗ࡚ኚ໬ࡀồࡵࡽࢀࡿ᪥ᮏࡢ⤫ィᶵᵓࠖ᪥᫬㸸2020 ᖺ 6 ᭶ 29 ᪥Ꮫ఍ྡ➼㸸OECD 4th Meeting of the Informal Advisory Group on measuring GDP in the
Digital Economy, Item 3.b.
ሙᡤ㸸࢜ࣥࣛ࢖ࣥ
Ⓨ⾲⪅㸸ୖ㔝 ᭷Ꮚ࣭Ḉᮏ ೺Ⓨ⾲ࢸ࣮࣐㸸”Preliminary report on the estimation results of digital Supply and Use(42) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ

Tables in Japan”
᪥᫬㸸2020 ᖺ 7 ᭶ 10 ᪥Ꮫ఍ྡ➼㸸ෆ㛶ᗓ⤒῭♫఍⥲ྜ◊✲ᡤ⏕⏘࣭ᨭฟ࣭ศ㓄ࡢ୕㠃ࡢᩚྜᛶ࡟㛵ࡍࡿㄪᰝ◊✲➨㸯ᅇ◊✲᳨ウ఍ሙᡤ㸸࢜ࣥࣛ࢖ࣥ
Ⓨ⾲⪅㸸Ḉᮏ ೺Ⓨ⾲ࢸ࣮࣐㸸
ࠕ2008SNA ࡀ ồࡵࡿ୕㠃ࡢࣂࣛࣥࢩࣥࢢࡢ⪃࠼᪉ࠖ᪥᫬㸸2020 ᖺ 9 ᭶ 17 ᪥Ꮫ ఍ ྡ ➼ 㸸 ESCoE Conference on Economic Measurement 2020(EM2020), Covid-19
Session B: Measuring the Impact of COVID on the Economyሙᡤ㸸࢜ࣥࣛ࢖ࣥ
Ⓨ⾲⪅㸸Ḉᮏ ೺࣭ⴗ㔝 ぬ࣭ᒣ㔝 ⣖ᙪⓎ⾲ࢸ࣮࣐㸸”The COVID-19 impacts on statistics survey and estimation procedures inJapan”
᪥᫬㸸2020 ᖺ 11 ᭶ 8 ᪥Ꮫ఍ྡ➼㸸⤒῭⤫ィᏛ఍඲ᅜ◊✲኱఍࢜ࣥࣛ࢖ࣥࢭࢵࢩࣙࣥᅜẸ⤒῭ィ⟬࣭ᅜ㝿཰ᨭࡢㅖၥ㢟ሙᡤ㸸࢜ࣥࣛ࢖ࣥ
Ⓨ⾲⪅㸸Ḉᮏ ೺Ⓨ⾲ࢸ࣮࣐㸸
ࠕ2025SNA ᑟධ࡟ྥࡅࡓ⏘ฟ㢠⿵ṇࡢ᳨ウࠖ᪥᫬㸸2020 ᖺ 12 ᭶ 5 ᪥Ꮫ఍ྡ➼㸸⤒῭⤫ィᏛ఍ᮾ໭࣭㛵ᮾᨭ㒊 12 ᭶౛఍ሙᡤ㸸࢜ࣥࣛ࢖ࣥ
Ⓨ⾲⪅㸸Ḉᮏ ೺Ⓨ⾲ࢸ࣮࣐㸸ࠕ⤒῭⤫ィศ㔝࡛࢜ࣥࣛ࢖࡛࡛ࣥࡁࡿࣇ࣮ࣜࡢᩍ⫱ࢶ࣮ࣝࡢ⤂௓㸫V-RESAS,
jSTATMAP, Google ࡟ࡼࡿ COVID-19 ឤᰁ㝧ᛶ⪅ண ࠖ᪥᫬㸸2021 ᖺ 2 ᭶ 18 ᪥Ꮫ఍ྡ➼㸸Ꮫ఍࡛ࡣ࡞ࡃࠊG20 ㅖᅜ࡜ྛᅜ⤫ィసᡂᶵ㛵࡟ࡼࡿ࣮࣡ࢡࢩࣙࢵࣉ࡛ࠊ㆟㛗ᅜ࢖ ࢱ ࣜ ࢔ ୺ ദ ࡟ ࡼ ࡿ ≉ ู ఍ ྜ ࠊ ࢭ ࢵ ࢩ ࣙ ࣥ ྡ 㸸͆ MEASURING THE DIGITAL㹙ࢭࣥࢱ࣮άືሗ࿌㹛2020 ᖺᗘ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲άື➼ሗ࿌ (43)

ECONOMY ̽ DRAFT AGENDA FOR A VIRTUAL DETF WORKSHOP͇ሙᡤ㸸࢜ࣥࣛ࢖ࣥ
Ⓨ⾲⪅㸸Ḉᮏ ೺࣭▼ᶫ ⱥᐉⓎ⾲ࢸ࣮࣐㸸ධ✏ẁ㝵࡛௬ࢱ࢖ࢺࣝ࡟࡚ㄪᩚ୰ ͇Experiences in Measuring GDP in a
Digital Economy͇㸰㸬◊✲ㄽᩥ࣭ⴭ᭩ⴭ᭩ྡ㸸ࠗ⤒῭⣔ࡢࡓࡵࡢ᝟ሗά⏝ 2 Office2019 ᑐᛂ࠘Ⓨ⾜ᶵ㛵㸸❧ᩍ኱Ꮫ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮Ⓨ⾜ᖺ᭶㸸 2020 ᖺ 11 ᭶ⴭ⪅Ặྡ㸸Ḉᮏ ೺࣭⸨㔝 ⿱୍࣭ࣀ℩ ኱㍜࣭Ᏻ⸨ 㐨ே࣭⏣ᾆ ඖ࣭಴⏣ ▱⛅ඹⴭ༊ศ㸸ඹⴭ

㸱㸬౫㢗◊ಟ
᪥᫬㸸2020 ᖺ 8 ᭶ 19 ᪥, 20 ᪥◊ಟྡ㸸ࠕᅜẸ⤒῭ィ⟬࣭┴Ẹ⤒῭ィ⟬ࠖ୺ദ㸸⥲ົ┬⤫ィ◊✲◊ಟᡤሙᡤ㸸⤫ィ◊✲◊ಟᡤᩍᐊ 2F
ㅮᖌ㸸Ḉᮏ ೺ᑐ㇟㸸୰ኸ┬ᗇ⫋ဨ, ᆅ᪉බඹᅋయ⫋ဨ᪥᫬㸸2020 ᖺ 10 ᭶ 22 ᪥, 26 ᪥, 11 ᭶ 2 ᪥, 19 ᪥◊ಟྡ㸸ࠕᅜẸ⤒῭ィ⟬㸦ࢧࢸࣛ࢖ࢺ຺ᐃࢆྵࡴࠋ
㸧ࠖ୺ദ㸸⥲ົ┬⤫ィ◊✲◊ಟᡤሙᡤ㸸⤫ィ◊✲◊ಟᡤᩍᐊ 2F
ㅮᖌ㸸Ḉᮏ ೺ᑐ㇟㸸୰ኸ┬ᗇ⫋ဨ, ᆅ᪉බඹᅋయ⫋ဨ᪥᫬㸸2020 ᖺ 11 ᭶ 4 ᪥,11 ᭶ 5 ᪥◊ಟྡ㸸ࠕGDP ࢆᏛࡪࠖ
୺ദ㸸ෆ㛶ᗓ⤒῭♫఍⥲ྜ◊✲ᡤ⤒῭◊ಟᡤሙᡤ㸸࢜ࣥࣛ࢖ࣥ
ㅮᖌ㸸Ḉᮏ ೺ᑐ㇟㸸ෆ㛶ᗓ⫋ဨ,୰ኸ┬ᗇ⫋ဨ(44) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ᪥᫬㸸2020 ᖺ 11 ᭶ 18 ᪥,11 ᭶ 19 ᪥◊ಟྡ㸸ࠕᅜẸ⤒῭ィ⟬(SNA)ࢫࢸࢵࣉ࢔ࢵࣉࠖ
୺ദ㸸ෆ㛶ᗓ⤒῭♫఍⥲ྜ◊✲ᡤ⤒῭◊ಟᡤሙᡤ㸸࢜ࣥࣛ࢖ࣥ
ㅮᖌ㸸Ḉᮏ ೺ᑐ㇟㸸ෆ㛶ᗓ⫋ဨ,୰ኸ┬ᗇ⫋ဨᏳ⸨ 㐨ே ෸ᩍᤵ㸯㸬◊✲ㄽᩥ࣭ⴭ᭩
ᥖ㍕ㄅྡ㸸ࠗ⢭⚄⚄⤒Ꮫ㞧ㄅ࠘,122: 261-281
ࢱ࢖ࢺࣝ㸸ࠕ⏕άಖㆤ࡟ࡼࡿ⢭⚄⛉㛗ᮇධ㝔㸸1956 ᖺࠗᅾ㝔⢭⚄㞀ᐖ⪅ᐇែㄪᰝ࠘ཎ⚊ࡢศᯒࠖⓎ⾜ᮇ㛫㸸බ┈♫ᅋἲே᪥ᮏ⢭⚄⚄⤒Ꮫ఍Ⓨ⾜ᖺ᭶㸸2020 ᖺ 2 ᭶ⴭ⪅Ặྡ㸸ᚋ⸨ ᇶ⾜࣭Ᏻ⸨ 㐨ேᥖ㍕✀ู㸸ㄽᩥ
ඹⴭ༊ศ㸸ඹⴭᥖ㍕ㄅྡ㸸ࠗᏘห ಶே㔠⼥ ࠘2020 ᖺ᫓ྕ, 89-99ࢱ࢖ࢺࣝ㸸ࠕᐙ᪘௓ㆤࠊ௓ㆤಖ㝤ࠊዪᛶປാࠖ
Ⓨ⾜ᮇ㛫㸸୍⯡㈈ᅋἲேࡺ࠺ࡕࡻ㈈ᅋ
Ⓨ⾜ᖺ᭶㸸2020 ᖺ 5 ᭶ⴭ⪅Ặྡ㸸Ᏻ⸨ 㐨ேᥖ㍕✀ู㸸ㄽᩥ
ඹⴭ༊ศ㸸༢ⴭ
ᥖ㍕ㄅྡ㸸ࠗ❧ᩍ⤒῭Ꮫ◊✲࠘Vol.74, No,1 pp. 59௅91ࢱ࢖ࢺࣝ㸸ࠕ㈈ᨻㄪᩚไᗘᑟධ௨๓ࡢᆅ᪉㈈ᨻ㸸1883~1917 ᖺࡢ㐨ᗓ┴࣭ᕷ࣭⏫ᮧ㈈ᨻࡢ
᳨ドࠖ (ྂᕷᑗேࠊᐑᓮ㞞ே࡜ࡢඹⴭ㸧Ⓨ⾜ᮇ㛫㸸බ┈♫ᅋἲே᪥ᮏ⢭⚄⚄⤒Ꮫ఍Ⓨ⾜ᖺ᭶㸸2020 ᖺ 7 ᭶ⴭ⪅Ặྡ㸸Ᏻ⸨ 㐨ே࣭ྂᕷ ᑗே࣭ᐑᓮ 㞞ேᥖ㍕✀ู㸸ㄽᩥ
ඹⴭ༊ศ㸸ඹⴭ

㹙ࢭࣥࢱ࣮άືሗ࿌㹛2020 ᖺᗘ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲άື➼ሗ࿌ (45)ᥖ㍕ㄅྡ㸸ࠗ♫఍ಖ㞀◊✲࠘, vol. 5, no. 2, pp. 237-249
ࢱ࢖ࢺࣝ㸸ࠕㄆྍಖ⫱ᡤධᡤ࡜ᑵປ࣭ᢚ࠺ࡘ࣭ᐙ஦⫱ඣศᢸ㸸 ධᡤ࣭ಖ␃ୡᖏ࡟ᑐࡍࡿ࢔
ࣥࢣ࣮ࢺㄪᰝ⤖ᯝࠖ,Ⓨ⾜ᶵ㛵㸸ᅜ❧♫఍ಖ㞀࣭ேཱྀၥ㢟◊✲ᡤⓎ⾜ᖺ᭶㸸 2020 ᖺ 9 ᭶ⴭ⪅Ặྡ㸦ඹⴭ⪅ྵ㸧㸸Ᏻ⸨ 㐨ே࣭๓⏣ ṇᏊᥖ㍕✀ู㸸ᢞ✏㸦ືྥ࣭㈨ᩱ㸧ඹⴭ༊ศ㸸ඹⴭ
ᥖ㍕ㄅྡ:National Tax Journal, 73(3), 901-926
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㸸Michihito Ando, Chishio Furukawa, Daigo Nakata, and Kazuhiko
Sumiyaᥖ㍕✀ู㸸ㄽᩥ
ඹⴭ༊ศ㸸ඹⴭ℈ᮏ ┿୍ ຓᩍ㸯㸬◊✲ㄽᩥ࣭ⴭ᭩ᥖ㍕ㄅྡ㸸ࠗ⌮ㄽ࡜᪉ἲ࠘67ࢱ࢖ࢺࣝ㸸ࠕྜ⌮ⓗ㑅ᢥ࡟ࡼࡿ㐍Ꮫ᱁ᕪࡢኚືࣔࢹࣝ㸸㐍Ꮫ⋡࡜㝵ᒙ㛫᱁ᕪࡢ࣐࢖ࢡ࣭ࣟ
࣐ࢡࣟࣜࣥࢡࠖ
Ⓨ⾜ᶵ㛵㸸ᩘ⌮♫఍Ꮫ఍Ⓨ⾜ᖺ᭶㸸 2020 ᖺ 3 ᭶ⴭ⪅Ặྡ㸸℈ᮏ ┿୍ᥖ㍕✀ู㸸ㄽᩥ㸦Ꮫ⾡ㄅ㸧ඹⴭ༊ศ㸸༢ⴭᥖ㍕ㄅྡ㸸ࠗ♫఍Ꮫホㄽ࠘71(3)ࢱ࢖ࢺࣝ㸸ࠕᡓᚋᩍ⫱㐩ᡂࡢᛶᕪࡢ㛗ᮇኚືɆɆ⏬ᕤẁ㝵࣭㝵ᒙ࡟ࡼࡿࢺࣞࣥࢻࡢ㐪࠸࡟╔┠ࡋ࡚ࠖⓎ⾜ᶵ㛵㸸᪥ᮏ♫఍Ꮫ఍Ⓨ⾜ᖺ᭶㸸 2020 ᖺ 12 ᭶㸦༳ๅ୰㸧

(46) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕⴭ⪅Ặྡ㸸℈ᮏ ┿୍ᥖ㍕✀ู㸸ㄽᩥ㸦Ꮫ⾡ㄅ㸧ඹⴭ༊ศ㸸༢ⴭ

㸰㸬እ㒊㈨㔠᥇ᢥᐇ⦼᥇ᢥ⿵ຓ㔠ྡ㸸⛉Ꮫ◊✲㈝◊✲✀┠㸸ⱝᡭ◊✲◊✲ㄢ㢟␒ྕ㸸18K13096
᥇ᢥࢸ࣮࣐㸸
ࠕ⤫ィ࣭ᩘ⌮ࣔࢹࣝ࡟ࡼࡿᩍ⫱㐩ᡂ᱁ᕪ࣓࢝ࢽࢬ࣒ࡢ⥲ྜⓗゎ᫂ࠖ◊✲ᮇ㛫㸸 2018 ᖺ 4 ᭶ 㹼 2021 ᖺ 3 ᭶㈨㔠ྡ⛠㸸᪥ᮏᏛ⾡᣺⯆఍◊✲௦⾲⪅ྡ㸸℈ᮏ ┿୍すᯘ ຾࿃ ຓᩍ㸯㸬 ◊✲ㄽᩥ࣭ⴭ᭩
ⴭ᭩ྡ㸸ࠗᅗㄝ ᮾிࡢㄽⅬ ᑠụ㒔ᨻࢆᚭᗏ᳨ドࡍࡿ࠘Ⓨ⾜ᶵ㛵㸸᪪ሗ♫Ⓨ⾜ᖺ᭶㸸 2020 ᖺ 5 ᭶ⴭ⪅Ặྡ㸦ⴭ⪅㸧㸸ᒣᮏ ⏤⨾࣭ᑎす ಇ୍࣭Ᏻ㐩 ᬛ๎࣭ஂಖᮌ ໷௓࣭Ọᒣ ฼࿴࣭୸ᒣ ┿ኸ࣭ᑿᓮ ṇᓠ࣭Ặᐙ ⚈ኵ࣭▼ᶫ ᫎ஧࣭ඣ⨾ᕝ Ꮥ୍㑻࣭ඣ⋢ ὒ௓࣭すᯘ ຾࿃࣭⸨஭ ᗣᖹ࣭ ⩚ᓥ ᭷⣖࣭ᯘ බ๎࣭బ⸨ ඞ᫓࣭୰⃝ ㄔ࣭ᕷᕝ 㶾ኵ࣭ᒸ⏣ ᫛ே࣭㜿㒊 ಇᙪ࣭᳃ᒣ ἞࣭㕥ᮌ ຊ㞝࣭ఀ⸨ ๛࣭୰ᓥ ᫂Ꮚ࣭ᮧ⏣ ᝆ㍜࣭ᑠ㔝 ᾈ࣭ཎ⏣ ோᕼ࣭㟷㱟 ⨾࿴Ꮚ࣭すᔲ ࿴ᚨᥖ㍕✀ู㸸ⴭ᭩㸦᭩⡠㸧ඹⴭ༊ศ㸸ඹⴭ

㸰㸬እ㒊㈨㔠᥇ᢥᐇ⦼᥇ᢥ⿵ຓ㔠ྡ㸸⛉Ꮫ◊✲㈝◊✲✀┠㸸ⱝᡭ◊✲◊✲ㄢ㢟␒ྕ㸸00758237
᥇ᢥࢸ࣮࣐㸸
ࠕA.V.ࢡࢿ࣮ࢮࢆ୰ᚰ࡜ࡋࡓ⎔ቃ⤒῭Ꮫㄝྐ◊✲ࠖ◊✲ᮇ㛫㸸 2019 ᖺ 4 ᭶ 㹼 2023 ᖺ 3 ᭶㈨㔠ྡ⛠㸸᪥ᮏᏛ⾡᣺⯆఍◊✲௦⾲⪅ྡ㸸すᯘ ຾࿃㹙ࢭࣥࢱ࣮άືሗ࿌㹛2020 ᖺᗘ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲άື➼ሗ࿌ (47)‫♫ ڦ‬఍ㄪᰝ㒊఍  㒊఍ู◊✲άື➼㸯㸬ᅜ㝿఍㆟ฟᖍ᪥᫬㸸2020 ᖺ 8 ᭶ 2 ᪥㹼6 ᪥
఍㆟ྡ➼㸸JSM (Joint Statistical Meeting) Annual Conference 2020ሙᡤ㸸࢜ࣥࣛ࢖ࣥཧຍ
ฟᖍ⪅㸸஬༑ᔒ ᙲ࣭㧘ᶫ ࠿࠾ࡾཧຍ┠ⓗ㸸ᅜ㝿఍㆟ฟᖍ࡞ࡽࡧ࡟ᾏእࡢㄪᰝᢏ⾡ࡸ⤫ィᡭἲࠊ࢔࣮࢝࢖ࣈࡢࢹ࣮ࢱά⏝࡟㛵ࡍࡿືྥㄪᰝ
ᒾ㛫 ᬡᏊ ᩍᤵ㸯㸬◊✲ㄽᩥ࣭ⴭ᭩ᥖ㍕ㄅྡ㸸ࠗసᴗ⒪ἲࢪ࣮ࣕࢼࣝ࠘54 ᕳ 4 ྕ: 356-362
ࢱ࢖ࢺࣝ㸸ࠕᐙ᪘ࡢከᵝ໬࡟࡝࠺ᑐᛂࡍࡿ࠿㸦㸯㸧㸫ࠗᐙ᪘ࡢ࢜ࣝࢱࢼࢸ࢕ࣈ࠘ࡢᚲせᛶࠖⓎ⾜ᶵ㛵㸸୕㍯᭩ᗑ
Ⓨ⾜ᖺ᭶㸸2020 ᖺ 4 ᭶ⴭ⪅Ặྡ㸸ᒾ㛫 ᬡᏊᥖ㍕✀ู㸸ㄽᩥ
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ࢱ࢖ࢺࣝ㸸ࠕᐙ᪘ࡢከᵝ໬࡟࡝࠺ᑐᛂࡍࡿ࠿㸦㸰㸧㸫࣐ࠗ࢖ࣀࣜࢸ࢕࠘ࡢ♫఍ⓗໟᦤࡢᚲせᛶࠖⓎ⾜ᶵ㛵㸸୕㍯᭩ᗑ
Ⓨ⾜ᖺ᭶㸸2020 ᖺ 5 ᭶ⴭ⪅Ặྡ㸸ᒾ㛫 ᬡᏊᥖ㍕✀ู㸸ㄽᩥ
ඹⴭ༊ศ㸸༢ⴭ

ᥖ㍕ㄅྡ㸸᪥ᮏᏛ⾡఍㆟ ᥦゝࢱ࢖ࢺࣝ㸸ࠕᥦゝ㸸እᅜேࡢᏊ࡝ࡶࡢᩍ⫱ࢆཷࡅࡿᶒ฼࡜ಟᏛࡢಖ㞀ɆɆබ❧㧗ᰯࡢࠕධཱྀࠖ
࠿ࡽࠕฟཱྀࠖࡲ࡛ࠖ
Ⓨ⾜ᶵ㛵㸸᪥ᮏᏛ⾡఍㆟Ⓨ⾜ᖺ᭶㸸2020 ᖺ 8 ᭶ⴭ⪅Ặྡ㸸᪥ᮏᏛ⾡఍㆟ᆅᇦ◊✲ጤဨ఍ከᩥ໬ඹ⏕ศ⛉఍(48) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ

ᥖ㍕✀ู㸸ᨻ⟇ᥦゝ㸦http://www.scj.go.jp/ja/info/kohyo/pdf/kohyo-24-t289-4.pdf㸧
ඹⴭ༊ศ㸸ඹⴭ㧗ᮌ ᜏ୍ ᩍᤵ㸯㸬◊✲ㄽᩥ࣭ⴭ᭩
ᥖ㍕ㄅྡ㸸ࠗᐙ࡜ࡲࡕ࡞ࡳ࠘81㸦39 ᕳ㸯ྕ㸧ࢱ࢖ࢺࣝ㸸ࠕ኱㒔ᕷఫᏯᆅࢆࡵࡄࡿ㸱ࡘࡢどⅬࠖⓎ⾜ᶵ㛵㸸㸦୍♫㸧ఫᏯ⏕⏘᣺⯆㈈ᅋ
Ⓨ⾜ᖺ᭶㸸 2020 ᖺ㸴᭶ⴭ⪅Ặྡ㸸㧗ᮌ ᜏ୍ᥖ㍕✀ู㸸ㄽᩥ㸦ᶵ㛵⣖せ㸧ඹⴭ༊ศ㸸༢ⴭ
2.౫㢗ㅮ₇᪥᫬㸸2020 ᖺ 10 ᭶ 24 ᪥
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ሙᡤ㸸ᅜ❧ᕷබẸ㤋ㅮᖌ㸸㧗ᮌ ᜏ୍₇㢟㸸ࠕᕷẸࡀグ㘓ࢆࡘࡃࡿࠊṧࡍࠊඹ᭷ࡍࡿࠖ
ᑐ㇟㸸ᅜ❧ᕷẸ୰⃝ ΅ ᩍᤵ㸯㸬Ꮫ఍Ⓨ⾲
᪥᫬㸸2020 ᖺ 7 ᭶Ꮫ఍ྡ➼㸸World Education Research Association Focal Meeting 2020ሙᡤ㸸㸦ࢥࣟࢼ࢘࢕ࣝࢫឤᰁᣑ኱ࡢࡓࡵᏛ఍୰Ṇ㸧
Ⓨ⾲⪅㸸Wataru NakazawaⓎ⾲ࢸ࣮࣐㸸
ࠕGender-Differentiated Parental Strategies on Advancement to University:
Using the Latent Class Model on Data in Japanࠖ㸰㸬◊✲ㄽᩥ࣭ⴭ᭩
ᥖ㍕ㄅྡ㸸ࠗᏛࡪ࣭ᩍ࠼ࡿ࠘
㸦ࢩ࣮ࣜࢬே㛫⛉Ꮫ 4㸧
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3㸬እ㒊㈨㔠᥇ᢥᐇ⦼᥇ᢥ⿵ຓ㔠ྡ㸸⛉Ꮫ◊✲㈝◊✲✀┠㸸ᇶ┙◊✲ A◊✲ㄢ㢟␒ྕ㸸19H00608
᥇ᢥࢸ࣮࣐㸸
ࠕᏛᰯ༞ᴗᚋࡢⱝᖺᒙࡢᑵᴗ࣭ᐙ᪘ᙧᡂ࡟㛵ࡍࡿ㏣㊧ㄪᰝࠖ◊✲ᮇ㛫㸸 2019 ᖺ 4 ᭶㹼2024 ᖺ 3 ᭶㈨㔠ྡ⛠㸸᪥ᮏᏛ⾡᣺⯆఍◊✲௦⾲⪅ྡ㸸୰⃝ ΅஬༑ᔒ ᙲ ຓᩍ㸯㸬Ꮫ఍Ⓨ⾲
᪥᫬㸸2020 ᖺ 4 ᭶ 25 ᪥Ꮫ఍ྡ➼㸸Population Association of America Annual Meeting 2020ሙᡤ㸸㸦ࢥࣟࢼ࢘࢕ࣝࢫឤᰁᣑ኱ࡢࡓࡵᏛ఍୰Ṇ㸧
Ⓨ⾲⪅㸸Akira IgarashiⓎ⾲ࢸ࣮࣐㸸
ࠕThreats and Norms: Multicultural Policies and Natives' Attitudes Toward
Immigrants in European Countriesࠖ᪥᫬㸸2020 ᖺ 4 ᭶ 25 ᪥Ꮫ఍ྡ➼㸸Population Association of America Annual Meeting 2020ሙᡤ㸸㸦ࢥࣟࢼ࢘࢕ࣝࢫឤᰁᣑ኱ࡢࡓࡵᏛ఍୰Ṇ㸧
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ࠕWhy Do People Develop Ethnic Hierarchy? Perceptions of American andChinese Immigrants in Japanࠖ
᪥᫬㸸2020 ᖺ 8 ᭶ 12 ᪥Ꮫ఍ྡ➼㸸The 115th American Sociological Association Annual Meetingሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദ
Ⓨ⾲⪅㸸Akira IgarashiⓎ ⾲ ࢸ ࣮ ࣐ 㸸ࠕ Multiculturalism and Muslim Immigrants’ Attitudes Towards
Homosexualityࠖ(50) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ᪥᫬㸸2020 ᖺ 9 ᭶ 13 ᪥Ꮫ఍ྡ➼㸸The 116th American Political Science Association Annual Meetingሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദ
Ⓨ⾲⪅㸸Akira IgarashiⓎ⾲ࢸ࣮࣐㸸ࠕReligion or Criminalisation? Multicultural policies and (non-) Muslim
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ࠕ཯ᕪูつ⠊ࡢᬑཬ࡟㛵ࡍࡿࣜࢫࢺᐇ㦂ࠖ᪥᫬㸸2020 ᖺ 10 ᭶ 31 ᪥Ꮫ఍ྡ➼㸸➨ 93 ᅇ᪥ᮏ♫఍Ꮫ఍኱఍
ሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദⓎ⾲⪅㸸஬༑ᔒ ᙲⓎ⾲ࢸ࣮࣐㸸
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Immigrationࠖ
Ⓨ⾜ᶵ㛵㸸⤒῭⏘ᴗ◊✲ᡤ㸦RIETI㸧Ⓨ⾜ᖺ᭶㸸 2020 ᖺ 3 ᭶ⴭ⪅Ặྡ㸸Akira Igarashi, Yoshikuni Onoᥖ㍕✀ู㸸ㄽᩥ㸦࣮࣡࢟ࣥࢢ࣮࣌ࣃ࣮㸧ඹⴭ༊ศ㸸ඹⴭᥖ㍕ㄅྡ㸸ࠗࠕࡃࡽࡋ࡜௙஦࡟㛵ࡍࡿእᅜ⡠ᕷẸㄪᰝࠖሗ࿌᭩࠘
ࢱ࢖ࢺࣝ㸸ࠕ⛣Ẹࡢ᪥ᮏ࡟ᑐࡍࡿᖐᒓព㆑ࠖ
Ⓨ⾜ᖺ᭶㸸 2020 ᖺ 6 ᭶ⴭ⪅Ặྡ㸸஬༑ᔒ ᙲᥖ㍕✀ู㸸ㄽᩥ㸦ሗ࿌᭩㸧㹙ࢭࣥࢱ࣮άືሗ࿌㹛2020 ᖺᗘ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲άື➼ሗ࿌ (51)ඹⴭ༊ศ㸸༢ⴭ
ᥖ㍕ㄅྡ㸸ࠗEthnic and Racial Studies࠘ࢱ࢖ࢺࣝ㸸ࠕHate begets hate: Anti-refugee violence increases anti-refugee attitudes inGermanyࠖⓎ⾜ᖺ᭶㸸 2020 ᖺ 8 ᭶ⴭ⪅Ặྡ㸸Akira Igarashiᥖ㍕✀ู㸸ㄽᩥ㸦ᰝㄞ௜ࡁࢪ࣮ࣕࢼࣝ㸧ඹⴭ༊ศ㸸༢ⴭ㧘ᶫ ࠿࠾ࡾ ຓᩍ㸯㸬Ꮫ఍Ⓨ⾲
᪥᫬㸸2020 ᖺ 7 ᭶ 15 ᪥Ꮫ఍➼ྡ㸸Sunbelt 2020 XL (Virtual)ሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദ
Ⓨ⾲⪅㸸Kaori Takahashi, Shinichi AizawaⓎ ⾲ ࢱ ࢖ ࢺ ࣝ 㸸 ”The network of Berlin-based Japanese visual artists: Their use oflanguages to form connections to formal institutions”
᪥᫬ 2020 ᖺ 8 ᭶ 22 ᪥ 14:00㹼17:00
Ꮫ఍➼ྡ㸸㛵ᮾ♫఍Ꮫ఍ 2019 ᖺᗘ➨ 2 ᅇ◊✲౛఍ ࠕ࣮࣡ࢡࢩࣙࢵࣉ᫬௦ࡢ⤫἞࡜♫఍
グ㏙ࠖ ͤ2020 ᖺ 3 ᭶㛤ദணᐃࡔࡗࡓ఍ࡢᘏᮇ㛤ദሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദ
Ⓩቭ⪅㸸㧘ᶫ ࠿࠾ࡾⓎ⾲ࢸ࣮࣐ࠕⱁ⾡ࢆ㏻ࡌࡓሙࡢᵓ⠏ɆɆᆅᇦ࡟ᑐࡍࡿ⌧௦⨾⾡࡜ࢡࣛࢩࢵࢡ㡢ᴦࡢヨࡳࢆࠖ᪥᫬㸸2020 ᖺ 12 ᭶ 6 ᪥ 13:00㹼15:00
Ꮫ఍➼ྡ㸸ᩥ໬ᨻ⟇Ꮫ఍ ௻⏬ࣇ࢛࣮࣒ࣛ᭶㛫ሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദⓎ⾲⪅㸸㧗ᶫ ᚊᏊ࣭ὸ஭ ༡࣭㧘ᶫ ࠿࠾ࡾ㸦௻⏬࣭ྖ఍㸧௻⏬ࢱ࢖ࢺࣝ㸸ࠕ࢔࣮ࢸ࢕ࢫࢺࡢ⏕άࢆ࡝ࡢࡼ࠺࡟ㄪᰝࡍࡿࡢ࠿㸽ɆɆ◊✲࡜ᐇ㊶ࡢ༠ാ࡟ྥࡅ࡚ࠖ᪥᫬㸸2021 ᖺ 3 ᭶ 9-12 ᪥ 㸦ᐇ᪋ணᐃ㸧

(52) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕᏛ఍➼ྡ㸸The ESA-Arts 2021 online conferenceሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദ
Ⓨ⾲⪅㸸Kaori TakahashiⓎ⾲ࢱ࢖ࢺࣝ㸸 “Updating cultural migrants: from research on Berlin-based Japanesevisual artists.”㸰㸬◊✲ㄽᩥ࣭ⴭ᭩
ⴭ᭩ྡ㸸ࠗ㡢ᴦ࡛⏕ࡁࡿ᪉ἲɆɆ㧗ᰯ⏕࠿ࡽࡢ㡢኱ཷ㦂ࠊ␃Ꮫࠊ௙஦࡜ᑗ᮶ ࠘Ⓨ⾜ᶵ㛵㸸㟷ᘪ♫Ⓨ⾜ᖺ᭶㸸 2020 ᖺ 11 ᭶ⴭ⪅Ặྡ㸦ඹⴭ⪅ྵ㸧㸸┦⃝ ┿୍࣭㧘ᶫ ࠿࠾ࡾ࣭ ᆏᮏ ගኴ࣭㍯† 㔛ዉᥖ㍕✀ู㸸ⴭ᭩㸦᭩⡠㸧ඹⴭ༊ศ㸸ඹⴭ

ⴭ᭩ྡ㸸
ࠗࠕ㊃࿡࡛⏕ࡁࡿࠖࡢᩥ໬ㄽ࠘
ࢱ࢖ࢺࣝ㸸ࠕࡑࢀ࡛ࡶ⯙ྎ࡟❧࡚ࡿ⌮⏤ɆɆࡲࡌࡵ࡟㐟ࡪࡓࡵࡢே㛫㛵ಀ࡜つ๎ࠖ㸦pp76-85㸧
Ⓨ⾜ᶵ㛵㸸ࢼ࢝ࢽࢩࣖฟ∧Ⓨ⾜ᖺ᭶㸸2021 ᖺ 3 ᭶㸦ணᐃ㸧ⴭ⪅Ặྡ㸦ඹⴭ⪅ྵ㸧㸸ᐑධ ᜤᖹ㸦⦅⪅㸧࣭ᮡᒣ ᪸ᖹ㸦⦅⪅㸧࣭⚄㔝 ⏤⣖࣭ᱜ஭ ᨻᡂ࣭ḷᕝග୍࣭᪩✄⏣ ࡳ࡞Ꮚ࣭ⷵ⏣ ☒ဢ࣭஧ᐑ ᾈᙲ࣭㣤⏣ ㇏࣭℩ᑿ ♸୍࣭ᯈὠ ᮌ⥥Ꮚ࣭㐲⸨ ⱥᶞ࣭㟷㔝 ᱈Ꮚ࣭㔝ᮧ 㥴࣭㧘ᶫ ࠿࠾ࡾ࣭ୖᒸ ☻ዉ࣭ᒣ୰ 㞞኱࣭㡲⸨ ᘅ࣭୕ᾆ ೔ṇ࣭ ๽ ₶࣭ୗᒣ⏣ ⩧ᥖ㍕✀ู㸸ⴭ᭩㸦᭩⡠㸧ඹⴭ༊ศ㸸ඹⴭ
3㸬እ㒊㈨㔠᥇ᢥᐇ⦼᥇ᢥ⿵ຓ㔠ྡ㸸⛉Ꮫ◊✲㈝◊✲✀┠㸸ⱝᡭ◊✲◊✲ㄢ㢟␒ྕ㸸20K12897
᥇ᢥࢸ࣮࣐㸸ࠕⱁ⾡࡟㛵ࢃࡿேࠎ࡟࡜ࡗ࡚ࡢປാ࣭వᬤ࣭௙஦ɆɆࢪ࢙ࣥࢲ࣮࡜⛣ື࠿ࡽࡢ♫఍Ꮫⓗ᥈ồࠖ◊✲ᮇ㛫㸸 2020 ᖺ 4 ᭶㹼2023 ᖺ 3 ᭶㈨㔠ྡ⛠㸸᪥ᮏᏛ⾡᣺⯆఍◊✲௦⾲⪅ྡ㸸㧘ᶫ ࠿࠾ࡾ㹙ࢭࣥࢱ࣮άືሗ࿌㹛2020 ᖺᗘ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲άື➼ሗ࿌ (53)᥇ᢥ⿵ຓ㔠ྡ㸸⛉Ꮫ◊✲㈝◊✲✀┠㸸ᣮᡓⓗ◊✲㸦ⴌⱆ㸧◊✲ㄢ㢟␒ྕ㸸19K21731
᥇ᢥࢸ࣮࣐㸸ࠕࢢ࣮ࣟࣂࣝ໬᫬௦࡟࠾ࡅࡿ㐍Ꮫ࣭ᑵ⫋࣭㌿⫋ࢿࢵࢺ࣮࣡ࢡࡢ♫఍Ꮫⓗゎ᫂ࠖ◊✲ᮇ㛫㸸 2019 ᖺ 6 ᭶㹼2022 ᖺ 3 ᭶㈨㔠ྡ⛠㸸᪥ᮏᏛ⾡᣺⯆఍◊✲௦⾲⪅ྡ㸸┦⃝ ┿୍㸦ୖᬛ኱Ꮫ㸧‫⤫ ڦ‬ィᩍ⫱㒊఍  㒊఍ู◊✲άື➼ᒣཱྀ ࿴⠊ ᩍᤵ㸯㸬Ꮫ఍Ⓨ⾲
᪥᫬㸸2020 ᖺ 9 ᭶ 3 ᪥Ꮫ఍ྡ➼㸸⚾❧኱Ꮫ᝟ሗᩍ⫱༠఍ 2020 ᖺᗘᩍ⫱࢖ࣀ࣮࣋ࢩࣙࣥ኱఍
ሙᡤ㸸࢔ࣝ࢝ࢹ࢕࢔ᕷࣨ㇂
Ⓨ⾲⪅㸸ᒣཱྀ ࿴⠊Ⓨ⾲ࢸ࣮࣐㸸
ࠕ࢚ࣅࢹࣥࢫ࡜ࡋ࡚ࡢࢹ࣮ࢱά⏝ຊ⫱ᡂࢆ┠ᣦࡍᤵᴗ᪉ἲࡢ⤂௓ࠖ㸰㸬౫㢗ㅮ₇᪥᫬㸸2021 ᖺ 2 ᭶ 26 ᪥ ༗๓ 10 ᫬ 00 ศ㹼༗ᚋ 15 ᫬ 00 ศ
ㅮ₇ྡ㸸௧࿴㸰ᖺᗘᆅ᪉⤫ィ⫋ဨᴗົ◊ಟ୺ദ㸸బ㈡┴ᗇ⤫ィศᯒㄢሙᡤ㸸࢔ࣂࣥࢭ㸦బ㈡ᕷ㸧ㅮᖌ㸸ᒣཱྀ ࿴⠊
ㅮ₇ࢸ࣮࣐㸸
ࠕ⤫ィⓗண ᪉ἲࡢᇶ♏࡜ᛂ⏝ࠖᑐ㇟㸸బ㈡┴බົဨ⏣୰ ⪽ ຓᩍ㸯㸬Ꮫ఍Ⓨ⾲
᪥᫬㸸2020 ᖺ 9 ᭶ 12 ᪥㸫13 ᪥Ꮫ఍ྡ➼㸸᪥ᮏᩍ⫱ᕤᏛ఍ 2020 ᖺ⛅Ꮨ඲ᅜ኱఍
ሙᡤ㸸໭ᾏ㐨኱Ꮫ㸦࢜ࣥࣛ࢖ࣥ㛤ദ㸧Ⓨ⾲⪅㸸⏣୰ ⪽࣭኱ཎ ୓㔛ዉ࣭బ⸨ ᬛᩥ࣭㙚ᐙ ⌮⋪࣭➉㔝 ᱈ຍ࣭ஂ⡿ భဢ࣭ຍ⸨ ㉮࣭ᮌᮧ ඘

(54) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕⓎ⾲ࢸ࣮࣐㸸኱Ꮫ࡟࠾ࡅࡿ⤒㦂Ꮫ⩦ᆺ࣮ࣜࢲ࣮ࢩࢵࣉᩍ⫱ࢆ㏻ࡌࡓᏛࡧ
᪥᫬㸸2020 ᖺ 12 ᭶ 12 ᪥Ꮫ఍ྡ➼㸸᪥ᮏᩍ⫱ᕤᏛ఍◊✲఍ሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദⓎ⾲⪅㸸኱ཎ ୓㔛ዉ࣭బ⸨ ᬛᩥ࣭㙚ᐙ ⌮⋪࣭➉㔝 ᱈ຍ࣭ஂ⡿ భဢ࣭ຍ⸨ ㉮࣭ᮌᮧ ඘࣭⏣୰ ⪽Ⓨ⾲ࢸ࣮࣐㸸኱Ꮫ࡟࠾ࡅࡿ⤒㦂Ꮫ⩦ᆺ࣮ࣜࢲ࣮ࢩࢵࣉᩍ⫱ࢆ㏻ࡌࡓᏛࡧࡢᡂᯝ࡜ࡑࡢᚋࡢ
௙஦࡬ࡢ௨㝆ࣉࣟࢭࢫᒣཱྀ ㄔ୍ ຓᩍ1㸬౫㢗◊ಟ
᪥᫬㸸2020 ᖺ 10 ᭶ 29 ᪥, 11 ᭶ 5 ᪥, 12 ᪥ 18 ᫬ 10 ศ㹼19 ᫬ 40 ศ
ㅮ₇ྡ㸸⤫ィ᳨ᐃ 2 ⣭ヨ㦂ᑐ⟇ㅮᗙ㸦➨ 1 ᅇ, ➨ 2 ᅇ, ➨ 3 ᅇ㸧୺ദ㸸ᮾὒ኱Ꮫ⌮ᕤᏛ㒊ሙᡤ㸸࢜ࣥࣛ࢖ࣥ㸦Google Meet㸧ㅮᖌ㸸ᒣཱྀ ㄔ୍
ㅮ₇ࢸ࣮࣐㸸
ࠕグ㏙⤫ィ㸦➨ 1 ᅇ㸧ࠖ,ࠕ☜⋡ኚᩘ㸦➨ 2 ᅇ㸧ࠖ,ࠕ᥎ ⤫ィ㸦᥎ᐃ㸧㸦➨ 3 ᅇ㸧ࠖᑐ㇟㸸ᮾὒ኱Ꮫࡢ LMS ࡢࢥ࣮ࢫࠕ2020 ᖺᗘ⤫ィ᳨ᐃ 2 ⣭㸦⌮ᕤᏛ㒊㸧
ࠖ࡟Ⓩ㘓ࡋࡓᮾὒ኱
Ꮫ⌮ᕤᏛ㒊ࡢᏛ⏕㛛⏣ ᐇ ຓᩍ㸯㸬ࢭ࣑ࢼ࣮㛤ദ᪥᫬㸸2020 ᖺ 12 ᭶ 18 ᪥
ㅮ₇ࢱ࢖ࢺࣝ㸸ᶵᲔᏛ⩦ධ㛛ࢭ࣑ࢼ࣮୺ദ㸸❧ᩍ኱Ꮫ♫఍᝟ሗᩍ⫱ࢭࣥࢱ࣮ሙᡤ㸸࢜ࣥࣛ࢖ࣥ㸦zoom㸧ㅮᖌ㸸㛛⏣ ᐇᑐ㇟㸸❧ᩍ኱ᏛᏛ⏕࣭ᩍဨ㸰㸬⤫ィㅮᗙࡢタィ᪥᫬㸸2020 ᖺ㸲᭶ࠥ㸷᭶ㅮ₇ࢱ࢖ࢺࣝ㸸㸶᪥࡛Ꮫࡪ⤫ィᏛ୺ദ㸸㈨᱁ࡢᏛᰯ TAC

㹙ࢭࣥࢱ࣮άືሗ࿌㹛2020 ᖺᗘ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲άື➼ሗ࿌ (55)ㅮᖌ㸸㛛⏣ ᐇᑐ㇟㸸♫఍ேຍ⸨ ೔Ꮚ ≉ᐃㄢ㢟◊✲ဨ㸯㸬Ꮫ఍Ⓨ⾲
᪥᫬㸸2020 ᖺ 11 ᭶ 1 ᪥Ꮫ఍ྡ➼㸸➨ 93 ᅇ᪥ᮏ♫఍Ꮫ఍኱఍
ሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദⓎ⾲⪅㸸ຍ⸨ ೔Ꮚ࣭ᖹ஭ ⚽ᖾⓎ⾲ࢱ࢖ࢺࣝ㸸ฮົᡤㄪᰝ࡟࠾ࡅࡿᅔ㞴ᛶࢆ࡝࠺ཷࡅṆࡵࡿ࠿ɆɆࠕዪᏊ౫Ꮡ⑕ᅇ᚟ᨭ᥼
ࣔࢹࣝ஦ᴗࠖࡢࣇ࢕࣮ࣝࢻ࣮࣡ࢡ࡟ྥࡅ࡚ᬅ
᪥᫬㸸2020 ᖺ 11 ᭶ 1 ᪥Ꮫ఍ྡ➼㸸➨ 93 ᅇ᪥ᮏ♫఍Ꮫ఍኱఍
ሙᡤ㸸࢜ࣥࣛ࢖ࣥ㛤ദⓎ⾲⪅㸸ᖹ஭ ⚽ᖾ࣭ຍ⸨ ೔ᏊⓎ⾲ࢱ࢖ࢺࣝ㸸ࠕᚋⓎᆺࠖㄪᰝࡣ࡝࠺࠶ࡿ࡭ࡁ࠿ ɆɆࠕዪᏊ౫Ꮡ⑕ᅇ᚟ᨭ᥼ࣔࢹࣝ஦ᴗࠖࡢ
ࣇ࢕࣮ࣝࢻ࣮࣡ࢡ࡟ྥࡅ࡚ᬆ

㸰㸬◊✲ㄽᩥ࣭ⴭ᭩
ⴭ᭩ྡ㸸ࠗ≢⨥࣭㠀⾜࠿ࡽࡢ㞳⬺ࢆ⪃࠼ࡿ࠘ࢱ࢖ࢺࣝ㸸ࠕ㞳⬺㸦ࢹࢪࢫࢱࣥࢫ㸧࡟ྥ࠿࠺㐣⛬࡛ಖㆤほᐹࡀᯝࡓࡍᙺ๭ɆɆಖㆤྖࡢฎ㐝ᐇ㊶࡟╔┠ࡋ࡚ɆɆࠖ(௬㸧Ⓨ⾜ᶵ㛵㸸ࡕ࡜ࡏࣉࣞࢫ
Ⓨ⾜ᖺ᭶㸸 2021 ᖺ 2 ᭶㸦ห⾜ணᐃ㸧ⴭ⪅Ặྡ㸦ඹⴭ⪅ྵ㸧㸸ᒸ㑔 ೺㸦⦅⪅㸧࣭⸨㛫 බኴ࣭ᒸᮧ 㐓㑻࣭௰㔝 ⏤ె⌮࣭ຍ⸨ ೔Ꮚ࣭┦Ⰻ ⩧࣭㒔ᓥ ᲍⣪࣭ᚿ⏣ ᮍ᮶࣭ఀ⸨ ⚽ᶞ࣭ᖹ஭ ⚽ᖾ࣭ᒣཱྀ Ẏᥖ㍕✀ู㸸ⴭ᭩㸦᭩⡠㸧ඹⴭ༊ศ㸸ඹⴭ

㸱㸬እ㒊㈨㔠᥇ᢥᐇ⦼᥇ᢥ⿵ຓ㔠ྡ㸸⛉Ꮫ◊✲㈝◊✲✀┠㸸ⱝᡭ◊✲◊✲ㄢ㢟␒ྕ㸸19K13951

(56) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ᥇ᢥࢸ࣮࣐㸸
ࠕᵓ㐀ⓗ᤼㝖࡬ࡢᨭ᥼࣭௓ධࡀࠗ≢⨥ࡸ㠀⾜࠿ࡽࡢ㞳⬺࠘࡟୚࠼ࡿᙳ㡪ࠖ◊✲ᮇ㛫㸸 2019 ᖺ 4 ᭶㹼2022 ᖺ 3 ᭶㈨㔠ྡ⛠㸸᪥ᮏᏛ⾡᣺⯆఍◊✲௦⾲⪅ྡ㸸ຍ⸨ ೔Ꮚ㹙ࢭࣥࢱ࣮άືሗ࿌㹛2020 ᖺᗘ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲άື➼ሗ࿌ (57)

(58) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せつ⛬2014 ᖺ 12 ᭶ 1 ᪥ไᐃ2017 ᖺ 1 ᭶ 16 ᪥ᨵṇ2018 ᖺ 1 ᭶ 17 ᪥ᨵṇϨ㸬ྡ⛠㸯㸬ᮏㄅࠕ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘ࠖࡣ❧ᩍ኱Ꮫ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮ࡢᶵ㛵ㄅ࡛࠶ࡾࠊཎ๎࡜ࡋ࡚ᖺ 1 ᅇⓎ⾜ࢆ⾜࠺ࡶࡢ࡜ࡍࡿࠋϩ㸬┠ⓗ㸰㸬ᮏㄅࡣ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮࡟࠾ࡅࡿ◊✲ᩍ⫱ᡂᯝࢆබ⾲ࡍࡿ࡜࡜ࡶ࡟ࠊ⤫ィ࣭♫఍ㄪᰝ࣭
ICT ࢆά⏝ࡋࡓ◊✲ᩍ⫱ᨭ᥼ࡢ㧗ᗘ໬࡟ᐤ୚ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿࠋϪ㸬ෆᐜ㸱㸬ᮏㄅࡣ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮ࡢάືグ㘓㸦ㅮ₇఍࣭ࢩ࣏ࣥࢪ࣒࣭࢘◊✲఍➼ࢆྵࡴ㸧ࠊ◊✲ㄽᩥࠊ◊✲ࣀ࣮ࢺࠊㄪᰝሗ࿌ࠊ㈨ᩱ⤂௓ࠊ᭩ホࠊࡑࡢ௚⦅㞟ጤဨ఍ࡀㄆࡵࡓࡶࡢࢆᥖ㍕ࡍࡿࠋϫ㸬⦅㞟ጤဨ఍
㸲㸬ᮏㄅ⦅㞟ࡣࠕ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘ࠖ⦅㞟ጤဨ఍ࡀ⾜࠺ࠋ㸳㸬⣖せ⦅㞟࡟࠿࠿ࡿ⦅㞟ጤဨ࡟ࡘ࠸࡚ࡣࠊࢭࣥࢱ࣮㛗ࡀ௵࿨ࡍࡿࠋ
㸴㸬⦅㞟ጤဨ఍ࡣࠊཎ๎࡜ࡋ࡚♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮ᨻᗓ⤫ィ㒊఍࣭♫఍ㄪᰝ㒊఍࣭⤫ィᩍ⫱㒊఍ࡢྛ࣮ࣜࢲ࣮ࠊࡲࡓࡣྛ࣮ࣜࢲ࣮ࡀ᥎⸀ࡍࡿ⪅࠾ࡼࡧ CSI ஦ົᒁࢆᵓᡂဨ࡜ࡋࠊࡑࡢάື
࡟࠶ࡓࡿࡶࡢ࡜ࡍࡿࠋϬ㸬ᢞ✏㈨᱁㸵㸬ᢞ✏㈨᱁ࡣ௨ୗࡢ㏻ࡾ࡜ࡍࡿࠋ
㸦࢔㸧㈨᱁༊ศϨ ᙜࢭࣥࢱ࣮࡟ᡤᒓࡍࡿᩍ⫋ဨ➼㸦௵ᮇ௜ࡶྵࡴ㸧㸦࢖㸧㈨᱁༊ศϩ ᙜࢭࣥࢱ࣮࡟࠾࠸࡚◊✲࣭ᩍ⫱࡟ᚑ஦ࡋ࡚࠸ࡿࠊཪࡣࡋࡓࡇ࡜ࡢ࠶ࡿ⪅㸦࢘㸧㈨᱁༊ศϪ ᮏᏛ኱Ꮫ㝔◊✲⛉༤ኈㄢ⛬ᚋᮇㄢ⛬ᅾ⡠⪅㸦࢚㸧㈨᱁༊ศϫ ࡑࡢ௚ࠊ⦅㞟ጤဨ఍ࡀㄆࡵࡓ⪅ϭ㸬ᥖ㍕ᇶ‽
㸶㸬⦅㞟ጤဨ఍ࡢุ᩿࡟ᇶ࡙ࡁࠊᥖ㍕ࡢ᥇ྰࢆỴᐃࡍࡿࠋϮ㸬ཎ✏ࡢᥦฟ
㸷㸬ཎ✏ࡣ⦅㞟ጤဨ఍ࡀタᐃࡋࡓᮇ㝈࡟ྜࢃࡏ࡚ࠊᥦฟࢆ⾜࠺ࠋ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せつ⛬ (59)㸯㸮㸬ᰯṇࡣⴭ⪅ᰯṇ࡜ࡍࡿࠋᥦฟࡉࢀࡓཎ✏➼ࡣ㏉༷ࡋ࡞࠸ࠋ
㸯㸯㸬ཎ✏ࡣ᪥ᮏㄒ࠶ࡿ࠸ࡣⱥㄒ࡛ᇳ➹ࡉࢀࡓᮍห⾜ࡢࡶࡢ࡜ࡍࡿࡀࠊ◊✲఍➼ཱྀ࡛㢌Ⓨ⾲ࡋࡓࡶࡢ࡟ࡘ࠸࡚ࡣࡑࡢ㝈ࡾ࡛ࡣ࡞࠸ࠋ㸯㸰㸬ヲ⣽ࡣู㏵ᐃࡵࡿࠋ
㸯㸱㸬௚ࡢᩥ⊩࠿ࡽᅗ࣭⾲࣭෗┿ࡢ㌿㍕ࢆ⾜࠺ሙྜࡣࠊᇳ➹⪅ࡀチㅙࢆᚲࡎᚓࡿࡇ࡜ࠋ
ϯ㸬ⴭసᶒ㸯㸲㸬ᮏㄅ࡟ᥖ㍕ࡉࢀࡓཎ✏ࡢࡍ࡭࡚ࡢⴭసᶒ㸦ⴭసᶒἲ➨ 27 ᮲ཬࡧ➨ 28 ᮲࡟つᐃࡍࡿᶒ฼ࢆ
ྵࡴ㸧ࡣᙜࢭࣥࢱ࣮࡟ㆡΏࡉࢀࡿࠋ
㸯㸳㸬ᮏㄅ࡟ᥖ㍕ࡉࢀࡓཎ✏ࡣࠊཎ๎࡜ࡋ࡚❧ᩍ኱ᏛᏛ⾡࣏ࣜࢪࢺࣜ㸦❧ᩍ ROOTS㸧ࢆ㏻ࡌ࡚࢜
ࣥࣛ࢖ࣥබ㛤ࢆ⾜࠺ࠋ㸯㸴㸬❧ᩍ኱ᏛᏛ⾡࣏ࣜࢪࢺࣜ㸦❧ᩍ ROOTS㸧࡛ࡢබ㛤ࢆᕼᮃࡋ࡞࠸ሙྜࡣࠊཎ✏ᥦฟ᫬࡟⦅㞟ጤဨ఍࡟ࡑࡢ᪨ࢆ㏻▱ࡍࡿࡇ࡜ࠋ
ϰ㸬ࡑࡢ௚㸯㸵㸬ࡑࡢ௚ᮏㄅࡢ⦅㞟࡟㛵ࡋ࡚ࠊᚲせ࡞஦㡯ࡣ⦅㞟ጤဨ఍࡛ᑂ㆟ࢆ⾜࠺ࠋ㸯㸶㸬ࡇࡢつ⛬ࡢᨵᗫࡣࠊࢭࣥࢱ࣮ጤဨ఍ࡢ㆟ࢆ⤒࡚ࠊࢭࣥࢱ࣮㛗ࡀ⾜࠺ࠋ(60) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せᇳ➹せ㡿2014 ᖺ 12 ᭶ 1 ᪥ไᐃ2017 ᖺ 1 ᭶ 16 ᪥ᨵṇ2017 ᖺ 10 ᭶ 4 ᪥ᨵṇ2019 ᖺ 1 ᭶ 16 ᪥ᨵṇϨ㸬ཎ✏ࡢᙧᘧ
㸯㸬ཎ✏ࡣ㸯㡫ࡢᏐᩘࢆ 1600 ᩥᏐ㸦4040㸧࡜ࡋࠊᴫࡡ௨ୗࡢ㏻ࡾ࡜ࡍࡿࠋ  సᡂࡣᣦᐃࡉࢀࡓᇳ➹⏝ࢸࣥࣉ࣮ࣞࢺࢆ౑⏝ࡋࠊᇳ➹ࡍࡿࡇ࡜ࠋ  ձ ㄽᩥࡣ 15 㡫⛬ᗘ  ղ ◊✲ࣀ࣮ࢺࡣ 10 㡫⛬ᗘ  ճ ㈨ᩱࡣ 10 㡫⛬ᗘ  մ ࡑࡢ௚ᥖ㍕࡟ࡘ࠸࡚ࡣࠊ⦅㞟ጤဨ఍ࡢチㅙࢆᚓ࡚ࠊᥖ㍕᪉ἲ➼ࢆỴᐃࡍࡿࠋ  ࡞࠾ࠊཎ✏࡟ᅗ⾲ࡀྵࡲࢀࡿሙྜ࡟ࡣࠊ⣬㠃࡟༨ࡵࡿ๭ྜࢆຍ࿡ࡋࠊᵓᡂࡍࡿࠋ
㸰㸬౑⏝ゝㄒࡣཎ๎࡜ࡋ࡚᪥ᮏㄒࡶࡋࡃࡣⱥㄒ࡜ࡍࡿࠋ
㸱㸬ཎ✏ࡢෑ㢌࡟ࠊ⾲㢟㸦ⱥᩥ࣭࿴ᩥ㸧࡜ᇳ➹⪅ࡢẶྡࢆグ㍕ࡍࡿࠋ๪㢟㸦ⱥᩥ࣭࿴ᩥ㸧ࡀ࠶ࢀࡤࠊ⾲㢟ࡢୗ㒊࡟グࡍࠋ㸲㸬࿴ᩥせ᪨ࡣᴫࡡ 400 Ꮠࢆ┠Ᏻ࡜ࡍࡿࠋ࢔ࣈࢫࢺࣛࢡࢺ㸦ⱥᩥ㸧ࡣᴫࡡ 200word ࢆ┠Ᏻ࡜ࡍࡿࠋ
㸳㸬࣮࣮࢟࣡ࢻ㸦ⱥᩥ࣭࿴ᩥ㸧ࡣྛ 5 ಶ௨ෆ࡛タᐃࡍࡿࠋ㸴㸬⠇ࡸ㡯➼ࡢ㝵ᒙᵓ㐀࡟ࡼࡿぢฟࡋࡣࠊ௨ୗࡢᙧᘧࢆᇶ‽࡜ࡍࡿࠋࡓࡔࡋࠊᚲせ࡟ᛂࡌ࡚ᵓᡂࡣᰂ㌾࡟ᑐᛂ࡛ࡁࡿࡶࡢ࡜ࡍࡿࠋ  ኱㡯┠ࠕ❶ࠖ┦ᙜ㸸ϨࠊϩࠊϪ࣭࣭࣭  ୰㡯┠ࠕ⠇ࠖ┦ᙜ㸸1ࠊ2ࠊ3࣭࣭࣭  ᑠ㡯┠ࠕ㡯ࠖ┦ᙜ㸸
㸦1㸧
ࠊ
㸦2㸧
ࠊ
㸦3㸧
࣭࣭࣭㸦ᩘᏐࡣ࠸ࡎࢀࡶ༙ゅ࡜ࡍࡿ㸧㸵㸬ᅗ⾲ࡸ෗┿࡞࡝ࡣࠕᅗ⾲㸯ࠊᅗ⾲ 2࣭࣭࣭ࠖ࡜࠸࠺ࡼ࠺࡟㏻ࡋ␒ྕࢆࡘࡅࡿࠋ㸦ᩘᏐࡣ༙ゅ࡜ࡍࡿ㸧㸶㸬ࠕὀࠖ࡟ࡘ࠸࡚ࡣࠊᮏᩥ୰ࡢヱᙜ⟠ᡤ࡟㏻ࡋ␒ྕ࡛ 1) 2)࣭࣭࣭࡜௜ࡅࠊὀ⮬యࡣᮏᩥࡢ᭱ᚋ࡟ࡲ࡜ࡵ
࡚ᥖ㍕ࡍࡿࠋ
㸷㸬ᩥ୰࡛౑⏝ࡍࡿᘬ⏝ᩥ⊩ࡣࠊᮏᩥࡢヱᙜ⟠ᡤ࡟㸦ⴭ⪅ྡ㸪Ⓨ⾜ᖺ㸧 ࢆ♧ࡋࠊヲ⣽ࡣㄽᩥᮎᑿ࡟୍ᣓࡋ
࡚グ㍕ࡍࡿࠋ
㸯㸮㸬ᘬ⏝ᩥ⊩ᥖ㍕ᙧᘧࡣᴫࡡ௨ୗࡢ㏻ࡾࠋ
㸦㸯㸧ⴭ᭩㸸ⴭ⪅ྡ㸪ฟ∧ᖺ㸪ࠗ᭩⡠ྡ࠘ฟ∧♫㸬㸦㸰㸧ㄽᩥ㸸ⴭ⪅ྡ㸪ฟ∧ᖺ㸪ࠕㄽᩥྡࠖࠗࢪ࣮ࣕࢼࣝྡ࠘‫ ۑ‬ᕳ ‫ྕۑ‬㸪 1-2㸦࣮࣌ࢪ㸧㸬㸦㸱㸧࢙࢘ࣈ࣮࣌ࢪ㸸ⴭ⪅ྡ㸪᭱⤊᭦᪂ᖺ㸪ࠕࢱ࢖ࢺࣝࠖ
㸪࢙࢘ࣈࢧ࢖ࢺྡ㸪
㸦URL㸪ࠐᖺࠐ᭶ࠐ᪥ྲྀᚓ㸧㸯㸯㸬ㄽᩥ➼ࡣࠊ᏶඲ཎ✏࡛ᥦฟࡋࠊࡑࡢෆᐜ࡟ࡘ࠸࡚ࡣᇳ➹⪅ᮏேࡀ㈐௵ࢆ㈇࠺ࡶࡢ࡜ࡍࡿࠋ

ϩ㸬ࡑࡢ௚㸯㸰㸬ᮏせ㡿ࡣࠊ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せつ⛬㸯㸰࡟ᇶ࡙ࡃࠋ㸯㸱㸬ᮏせ㡿ࡢᨵᗫࡣࠊ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮⦅㞟ጤဨ఍ࡢ㆟ࢆ⤒࡚ࠊࢭࣥࢱ࣮㛗ࡀ⾜࠺ࠋᇳ➹⪅୍ぴ (61) ෋ൿ঻‫ق‬ൕൗದ‫ ك‬‫ ٷ‬৛ઠ ย঳‫ृق‬ऽएठ चःःठ‫ك‬য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ଁ ش‬ੑઇ୘৖ভ ஃઇ‫ ٷ‬৛ઠ ਮ෇‫ृق‬ऽएठ ऊङभॉ‫ك‬য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ଁ ش‬ੑઇ୘৖ভশ
য়ઇপ৾ ৽੾৾৖ ઇ౸‫ ٷ‬୅ি ৰ‫ق‬ऊनञ ाभॊ‫ك‬য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ଁ ش‬ੑઇ୘৖ভ ஃઇ‫ ٷ‬᫟ম ઌ঳‫ق‬मऽुध ख॒ःठ‫ك‬য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ ش‬৆ਿଁੑ৖ভ ஃઇ‫ ٷ‬ਧ௔ ৤ྪ‫ق‬पखयृख खॆअओ‫ك‬য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ ش‬৆ਿଁੑ৖ভ ஃઇ‫ ٷ‬ᨒম ௏‫ق‬औऎैुध ञऐख‫ك‬  য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ ش‬৆ਿଁੑ৖ভশ  য়ઇপ৾ ৽ੋ৾৖ ၳઇ౸‫ ٷ‬૜ેຮ ༟‫ق‬ःऋैख ँऌै‫ك‬য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫঺ ش‬ভ৹ਪ৖ভ ஃઇ‫❅ ٷ‬ଶ ऊउॉ‫ق‬ञऊमख ऊउॉ‫ك‬য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫঺ ش‬ভ৹ਪ৖ভ ஃઇ ౶ਏౣૐ‫؞‬ଡਛ ‫ ٷ‬৵৛ি ੦ಘ‫ق‬उृऽट ुधऊ‫ك‬য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ ش‬ઇ୘ଢ଼஢॥‫ॹش‬ॕॿ‫شॱش‬‫ ٷ‬৐ਆ ಂஸ‫ق‬ऽइऊॎ खत‫ك‬য়ઇপ৾ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ ش‬ઇ୘ଢ଼஢॥‫ॹش‬ॕॿ‫شॱش‬

(62) ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮◊✲⣖せࠗ♫఍࡜⤫ィ࠘➨ 7 ྕ

 ౣૐ੻৩ভ ౣૐ੻৩শ  ਷঱ ජ੬ ‫঺ق‬ভੲਾઇ୘ଢ଼஢७থॱ‫ش‬শ ঺ভ৾৖ ઇ౸‫ك‬৆ਿଁੑ৖ভ ౣૐ੻৩ ᨒম ௏ ‫৾ੋ৽ق‬৖ ၳઇ౸‫ك‬঺ভ৹ਪ৖ভ ౣૐ੻৩ గ৑ ၐ৕‫঺ق‬ভ৾৖ ઇ౸‫ك‬ଁੑઇ୘৖ভ ౣૐ੻৩ ৛ઠ ਮ෇‫৾੾৽ق‬৖ ઇ౸‫ك‬ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ ش‬হਜଂ ౣૐ੻৩ หਹ য়୏ ‫ق‬ওॹॕ॔७থॱ‫ୖ ش‬শ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ش‬হਜଂ ැਜ‫ك‬੎ি உৄ৕‫ق‬ওॹॕ॔७থॱ‫ୖ ش‬৩ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ش‬হਜଂ ැਜ‫ك‬਽ি ஶ౴ ‫ق‬ওॹॕ॔७থॱ‫ୖ ش‬৩ ঺ভੲਾઇ୘ଢ଼஢७থॱ‫ش‬হਜଂ ැਜ‫ك‬৵৛ি ੦ಘ‫঺ق‬ভੲਾઇ୘ଢ଼஢७থॱ‫ش‬হਜଂ ઇ୘ଢ଼஢॥‫ॹش‬ॕॿ‫كشॱش‬৐ਆ ಂஸ ‫঺ق‬ভੲਾઇ୘ଢ଼஢७থॱ‫ش‬হਜଂ ઇ୘ଢ଼஢॥‫ॹش‬ॕॿ‫كشॱش‬য়ઇপ৾঺ভੲਾઇ୘ଢ଼஢७থॱ‫ش‬ଢ଼஢౶ਏ

ᅈ˟↗ወᚘᴾ ᇹ 7 ӭᴾ2021 ᖺ 2 ᭶ 28 ᪥ Ⓨ⾜⦅㞟࣭Ⓨ⾜㸸❧ᩍ኱Ꮫ ♫఍᝟ሗᩍ⫱◊✲ࢭࣥࢱ࣮
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ᮏ᭩ࡢ↓᩿㌿㍕࣭」〇ࢆ⚗ࡎࠋ
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