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Competition Place Date Category Weapon Gender Event Type Ciudad de Barcelone 09.03.2012 Senior Epée F Individual A Barcelona Rank Pts Name Nationality Birth Licence 1 32 BRANZA Ana ROU 26.11.84 26111984000 2 26 GHERMAN Simona ROU 12.04.85 12041985000 3 20 PIEKARSKA Magdalena POL 28.11.86 28111986000 3 20 SUN Yujie CHN 10.08.92 10081992000 5 14 SHEMYAKINA Yana UKR 05.01.86 05011986002 6 14 LUO Xiaojuan CHN 12.06.84 12061984004 7 14 EMBRICH Irina EST 12.07.80 12071980003 8 14 QUONDAMCARLO Francesca ITA 21.08.84 21081984001 9 8 GEROUDET Tiffany SUI 03.09.86 03091986000 10 8 SHUTOVA Lubov RUS 25.06.83 25061983000 11 8 CHOI In Jeong KOR 21.05.90 21051990007 12 8 SIVKOVA Anna RUS 12.04.82 12041982000 13 8 SZASZ Emese HUN 07.09.82 07091982003 14 8 YIN Mingfang CHN 04.02.86 04021986004 15 8 MOELLHAUSEN Nathalie ITA 01.12.85 01121985000 16 8 HURLEY Courtney USA 30.09.90 30091990000 17 4 LI Na CHN 09.03.81 09031981001 18 4 FLESSEL-COLOVIC Laura FRA 06.11.71 06111971000 18 4 XU Anqi CHN 23.01.92 23011992001 20 4 ZVEREVA Yana RUS 06.03.89 06031989002 21 4 LOGOUNOVA Tatiana RUS 03.07.80 03071980000 22 4 BERGDAHL Johanna SWE 08.06.90 08061990000 23 4 GALANTINE Vanessa FRA 04.06.83 04061983000 24 4 BEKEFI Edina HUN 01.04.91 01041991001 25 4 JUNG Hyo-Jung KOR 26.01.84 26011984006 26 4 KIRPU Erika EST 22.06.92 22061992002 27 4 NELIP Ewa POL 01.05.89 01051989000 28 4 BOSCARELLI Francesca ITA 27.05.82 27051982001 29 4 STROKA Malgorzata POL 12.09.80 12091980000 30 4 FERNANDEZ Clementine FRA 10.01.91 10011991001 31 4 BELJAJEVA Julia EST 21.07.92 21071992000 32 4 POCHKALOVA Anfisa UKR 01.03.90 01031990000 33 2 DEL CARRETTO Bianca ITA 28.08.85 28081985002 34 2 NAVARRIA Mara ITA 18.07.85 18071985004 35 2 MAROIU Anca ROU 05.08.83 05081983002 36 2 SOZANSKA Monika GER 13.03.83 13031983002 37 2 COLIGNON Jeanne FRA 31.08.81 31081981001 38 2 JACQUES ANDRE COQUIN Josephine FRA 21.09.90 21091990002 39 2 TOL Sonja NED 16.11.72 16111972000 40 2 ALIBERT Nathalie FRA 17.08.84 17081984002 41 2 NDOLO Alexandra GER 13.08.86 13081986005 42 2 VLASOVA Vlada RUS 04.06.88 04061988005 42 2 ZHONG Weiping CHN 23.10.81 23101981006 44 2 KONG Man Wai HKG 08.02.94 08021994000 45 2 SHIN A Lam KOR 23.09.86 23091986001 46 2 SHASHARINA Elena RUS 26.10.87 26101987004 47 2 CHEN Yunxia CHN 14.02.86 14021986001 48 2 FIAMINGO Rossella ITA 14.07.91 14071991002 49 2 KOLOBOVA Violetta RUS 27.07.91 27071991002 50 2 SCHALM Sherraine CAN 21.06.75 21061975001 51 2 BEREZA Malgorzata POL 21.07.84 21071984000 52 2 BRIASCO Brenda ITA 19.08.91 19081991001 53 2 ANDRUSHINA Tatiana RUS 26.06.90 26061990001 54 2 GARS Sanne SWE 03.07.89 03071989000 55 2 SAMUELSSON Emma SWE 17.10.88 17101988000 56 2 LAWRENCE Corinna GBR 25.06.90 25061990000 57 2 CHRISTMANN Beate GER 29.12.84 29121984000 58 2 FAYOLLE Marie-Gabirelle FRA 30.05.89 30051989003 59 2 RIZZI Giulia ITA 20.06.89 20061989001 60 2 DI TELLA Isabel ARG 10.06.93 10061993006 61 2 KOCK Catharina FIN 26.06.91 26061991000 62 2 LIN Sheng CHN 05.01.94 05011994003 63 2 MARTINEZ Maria VEN 03.01.83 03011983004 64 2 OLEXOVA Martina CZE 24.01.83 24011983001 65 0 MULTERER Ricarda GER 05.04.90 05041990000 66 0 DINU Loredana ROU 02.03.84 02031984002 67 0 SHIMOOKAWA Ayaka JPN 28.04.88 28041988004 68 0 KRYVYTSKA Olena UKR 23.02.87 23021987002 69 0 SWITZER Ainsley CAN 01.12.78 01121978000 70 0 TAKACS Emese HUN 28.04.78 28041978001 71 0 CAMPBELL Lindsay USA 01.01.81 01011981001 72 0 UDREA Maria ROU 23.11.90 23111990000 73 0 DMOWSKA-ANDRZEJUK Danuta POL 01.03.82 01031982000 74 0 IKEHATA Shizuka JPN 01.11.78 01111978000 75 0 SCHUENKE Anja GER 13.04.85 13041985000 76 0 HALLS Joanna AUS 20.10.73 20101973000 77 0 HUGAS-MALLORQUI Maria GER 06.12.91 06121991001 78 0 WESTMAN Nina SWE 23.02.89 23021989000 79 0 HEIDEMANN Britta GER 22.12.82 22121982000 80 0 DESCOUTS Audrey FRA 28.07.80 28071980001 81 0 DOSTERT Sina GER 19.04.91 19041991000 82 0 BASSA Francesca USA 08.01.91 08011991000 83 0 YEUNG Chui Ling HKG 17.09.82 17091982002 84 0 KIRSCHEN Julia GER 16.12.88 16121988000 85 0 ESPINOZA TORO Angela Maria COL 04.01.74 04011974000 86 0 FERRARI Marta ITA 06.01.90 06011990000 87 0 KNAPIK Renata POL 15.07.88 15071988001 88 0 YUNUSBAYEVA Jamilya KAZ 24.09.88 24091988001 89 0 BRAVO ARANGUIZ Caterin CHI 28.12.75 28121975000 90 0 DEAC Simona ROU 25.12.88 25121988000 90 0 HURLEY Kelley USA 04.04.88 04041988000 92 0 FAUTSCH Lis LUX 03.02.87 03021987000 93 0 SHECHTMAN Iris ISR 28.07.90 28071990001 94 0 CHOI Eun Sook KOR 28.02.86 28021986005 95 0 DANINTHE Sarah FRA 25.06.80 25061980001 96 0 ZUIKOVA Julia EST 06.08.89 06081989000 97 0 KANG Young Mi KOR 01.03.85 01031985001 98 0 LAWRENCE Hannah Elizabeth GBR 05.01.89 05011989002 99 0 GUCHMAZOVA Maya RUS 27.11.91 27111991003 100 0 COSTA Rayssa BRA 16.03.91 16031991004 101 0 LUGO Eliana VEN 26.11.85 26111985003 101 0 KIRALY Hajnalka FRA 02.03.71 02031971001 103 0 QIN Xue CHN 20.01.92 20011992004 104 0 KOCHNEVA Olga RUS 29.06.88 29061988001 105 0 FERNANDEZ CALLEJA Sara ESP 19.08.93 19081993002 106 0 BARANIKOVA Dagmar SVK 02.05.89 02051989000 106 0 ZHAO Lingyu CHN 25.08.92 25081992001 108 0 NAKANO Nozomi JPN 03.07.86 03071986001 109 0 PAJU Nelli EST 24.07.90 24071990002 110 0 KROLAK Natalia POL 14.11.90 14111990001 111 0 GUILHON Cleia BRA 22.01.89 22011989003 111 0 CARPEGNA Sara ITA 06.09.88 06091988000 113 0 VACINOVA Gabriela CZE 11.10.89 11101989000 114 0 VIE Natalie USA 19.04.86 19041986001 114 0 WILLOCK Lauren USA 29.01.85 29011985003 116 0 ANDREEVA Larisa KGZ 08.11.88 08111988006 117 0 GUY Joanna CAN 03.07.84 03071984001 118 0 CHANG Chialing TPE 30.08.87 30081987000 119 0 GARCIA DE ANDRES Maria Sheila ESP 04.05.93 04051993002 120 0 LAWRENCE Maya USA 17.07.80 17071980001 121 0 MORAWIETZ Julia GER 22.11.93 22111993000 122 0 NISIMA Maureen FRA 30.07.81 30071981000 123 0 JORQUERA PALMER Daria CAN 24.04.88 24041988002 124 0 TEREBA-ZAWROTNIAK Beata POL 18.03.81 18031981001 125 0 KUUSK Kristina EST 16.11.85 16111985000 126 0 USHER Georgina GBR 08.09.72 08091972000 126 0 SCANLAN Susannah USA 04.06.90 04061990000 128 0 MARTINEZ Dayana VEN 10.10.86 10101986006 129 0 CHANG Caitlin GBR 17.04.93 17041993000 130 0 BALL Kirsten CAN 05.03.75 05031975000 130 0 LEHTONEN Suvi FIN 09.06.83 09061983002 132 0 PANTELYEYEVA Kseniya UKR 11.05.94 11051994000 133 0 GORAM Melissa FRA 30.05.90 30051990001 134 0 SEREGINA Eugeniya RUS 16.01.90 16011990002 135 0 HIGHTON Elizabeth GBR 13.12.90 13121990001 136 0 AGUERO Elida Sandra ARG 18.07.68 18071968002 137 0 TERAN Alejandra MEX 20.01.91 20011991000 138 0 AVENA Alexandra MEX 01.11.85 01111985004 139 0 DAVIDZON Ekaterina ISR 29.08.91 29081991000 139 0 HSU Jo-Ting TPE 18.03.90 18031990000 141 0 BESBES Sarra TUN 05.02.89 05021989000 142 0 DOUBOVA Dominika CZE 17.05.90 17051990000 142 0 LIN Yik Hei Coco HKG 19.02.95 19021995002 142 0 HORIKAWA Kozue JPN 20.04.92 20041992004 145 0 MOSLER Dominika POL 23.11.89 23111989000 146 0 MILLAN Andrea MEX 16.02.79 16021979005 147 0 LOZANO OLARTE Laskmi Natalia COL 29.07.87 29071987001 148 0 IMHOF Lara SUI 12.08.91 12081991001 149 0 STAHLBERG Sabrina GER 27.02.89 27021989007 150 0 BARRETT Juliana RSA 09.08.94 09081994001 151 0 COHEN Mary GBR 08.10.86 08101986000 152 0 ANTAL Edina HUN 08.11.90 08111990001 153 0 BUECHEL Holly USA 13.08.85 13081985001 154 0 CARAN Romana SRB 02.07.79 02071979001 155 0 VAN LOON Nina USA 25.05.94 25051994000 156 0 REIMER Janna GER 03.11.93 03111993003 157 0 ALBINI Elisa GBR 03.01.90 03011990001 157 0 CHEN Hsin Ping TPE 15.02.91 15021991001 159 0 KRIEGER Angela SUI 10.04.90 10041990001 160 0 RODIC Smiljka SRB 29.04.85 29041985001 161 0 STAEHLI Laura SUI 31.12.91 31121991000 162 0 CISNEROS Sofia ESP 29.03.96 29031996000 163 0 PEREZ GARCIA Samanta ESP 31.03.89 31031989005 164 0 DE LA MOTA Lucia ESP 12.04.93 12041993000 165 0 TUCCI Ludovica ITA 29.05.89 29051989003 166 0 BENEDICTO Irene ESP 28.09.93 28091993000 166 0 ENGEL Christiana AUT 10.07.89 10071989000 168 0 OSLAND Teresa NOR 28.03.78 28031978001 168 0 CUOMO Francesca ITA 02.10.86 02101986004 170 0 VICATOS Giselle RSA 01.08.89 01081989000 171 0 HUANG Shih-Ya RSA 05.03.81 05031981001 172 0 MORVIK Anne Marit NOR 01.09.90 01091990001 172 0 DAMAS Elena ESP 31.05.87 31051987004 174 0 ENGLERT URRUTIA Melisa Lara ARG 08.03.91 08031991004 175 0 MONCAYO Angelica COL 07.12.83 07121983005 176 0 DOMINGUEZ Genesis VEN 27.06.92 27061992000 176 0 ALDANA Naiara ESP 12.01.95 12011995002 176 0 STRASSER Lynn LUX 20.08.91 20081991000 179 0 SIMEAO Amanda BRA 02.06.94 02061994000 180 0 MARTINEZ Daniela MEX 28.11.92 28111992004 181 0 OH Yun Hee KOR 14.05.84 14051984006 181 0 ENCISO Clara ESP 02.03.92 02031992001 183 0 CHEN Yinhua TPE 16.04.79 16041979001 184 0 MA Cheuk Kwan HKG 10.08.90 10081990002 185 0 ZAKHAROVA Yanina KAZ 16.08.93 16081993004 185 0 HOOGE Karin Louise DEN 17.05.90 17051990001 187 0 KOUBANI Vassiliki GRE 29.01.67 29011967000 187 0 ISCHER Amandine SUI 11.10.94 11101994000 189 0 CISNEROS Alejandra ESP 16.12.90 16121990003 190 0 SAUCEDO Rocio ESP 12.01.93 12011993005 191 0 FORJE Lesongah Pauline CMR 22.04.81 22041981003 192 0 GASSAUER-FLEISSNER Fiona AUT 08.05.90 08051990001 193 0 CABRAL Ana POR 16.08.75 16081975000 194 0 MCGEEVER Jennifer GBR 05.11.91 05111991001 195 0 OVSYANIK Nadiya UKR 20.09.89 20091989004 196 0 ESPINOSA Marta ESP 20.10.77 20101977000 197 0 MACKINNON Leonora GBR 30.05.94 30051994000 198 0 SZELE Reka HUN 28.01.84 28011984001 198 0 O'NEILL-LYUBLINSKY Jessica USA 25.06.94 25061994000 200 0 HERMINIO Ines POR 19.04.91 19041991001 200 0 KIREICHEVA Irina KGZ 17.07.90 17071990003 200 0 KAMINSKAYA Vera KGZ 24.01.88 24011988009 200 0 CARFOOT Tamryn RSA 26.03.86 26031986000 204 0 LEIGHTON Eleanor USA 06.04.84 06041984005 205 0 DOUBOVA Daniela CZE 31.07.84 31071984000 206 0 KOSTYRKO Ganna UKR 05.06.87 05061987001 207 0 KLAFSTAD Pia NOR 07.05.90 07051990000 207 0 CARAMAUTA Karen VEN 30.08.92 30081992005 209 0 ROSELLO Gemma ESP 04.05.95 04051995003 209 0 ILIC Danijela SRB 22.07.71 22071971000 211 0 COELHO Alexandra POR 27.09.90 27091990003 212 0 DUBINKINA Mariya KAZ 26.07.92 26071992001 212 0 ALIBEKOVA Assel KAZ 14.09.91 14091991002 212 0 GARCIA RODRIGUEZ Ines ESP 22.01.94 22101994003 215 0 DE LA MOTA Lara ESP 15.06.91 15061991004 216 0 PENA Berta ESP 01.07.93 01071993000 216 0 FERNANDEZ GARCIA-REVILLO M.
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  • 2020-21 POCIG CV Book

    2020-21 POCIG CV Book

    CV BOOK PLANNERS OF COLOR INTEREST GROUP 2020-2021 — AMERICAN COLLEGIATE SCHOOLS OF PLANNING ABOUT POCIG ABOUT POCIG The vision of The Association of Collegiate Schools of Planning Planners of Color Interest Group (ACSP-POCIG) as outlined in its 2011 strategic plan is as follows: We envision a planning academy and linked with race and class issues. profession that advances social and Third, planning education prepares racial justice. We envision the evolution professionals to work with communities of this academy so that its faculty and of color and to seek social justice through students reflect the nation’s diverse the expansion of choice and opportunity people. We envision that the mission for all persons. of POCIG is viewed by all as critical to the health and future of the institution of The planning academy—its faculty and ACSP. students—represents the full diversity of our people in our society. Many of We embrace three fundamental our planning schools are inclusive, with premises: first, that planning as a field robust engagement with communities of recognizes social and racial justice color. POCIG is a locus of connection, as central to the vitality of places, and networking, and support for planning it recognizes disparity and injustice academics of color in ACSP and in ACSP as barriers to thriving, sustainable, member schools and other institutions resilient communities. Second, planning of higher education. The research, scholarship recognizes and illuminates knowledge, and participation of POCIG institutionalized inequality, structures guide the programmatic aims of ACSP that perpetuate inequality, and the fact in addressing diversity in the planning that all planning issues are inextricably academy.
  • FIE Qualifications OG Tokyo July 2021

    FIE Qualifications OG Tokyo July 2021

    Tokyo Olympic Games Equipes qualifiées Qualified Teams Equipos calificados FLEURET MASCULIN FLEURET FEMININ MEN'S FOIL WOMEN'S FOIL FLORETE MASCULINO FLORETE FEMENINO Classement / Classement / Pays / Country / PaÍs Ranking FIE Q Pays / Country / PaÍs Ranking FIE Q USA 1 ROC 1 FRANCE 2 ITALY 2 ITALY 3 FRANCE 3 ROC 4 USA 4 HONG KONG, CHINA 5 JAPAN 5 EGYPT 8 CANADA 6 GERMANY 10 HUNGARY 7 CANADA 14 EGYPT 15 JAPAN 7 EPEE MASCULINE EPEE FEMININE MEN'S EPEE WOMEN'S EPEE ESPADA MASCULINA ESPADA FEMENINA Classement / Classement / Pays / Country / PaÍs Q Pays / Country / PaÍs Q Ranking FIE Ranking FIE FRANCE 1 CHINA 1 ITALY 2 POLAND 2 UKRAINE 3 ROC 3 SWITZERLAND 4 KOREA 4 KOREA 5 USA 5 ROC 7 ITALY 6 USA 10 HONG KONG, CHINA 15 CHINA* 6 ESTONIA* 7 JAPAN 8 Pays hôte Host country * as Africa is not represented in places 5-16 * as Africa is not represented in places 5-16 País anfitrión in the FIE ranking in the FIE ranking SABRE MASCULIN SABRE FEMININ MEN'S SABRE WOMEN'S SABRE SABLE MASCULINO SABLE FEMENINO Classement / Classement / Pays / Country / PaÍs Q Pays / Country / PaÍs Q Ranking FIE Ranking FIE KOREA 1 ROC 1 HUNGARY 2 ITALY 2 ITALY 3 FRANCE 3 GERMANY 4 KOREA 4 ROC 5 HUNGARY 5 IRAN 6 USA 7 USA 8 CHINA 9 EGYPT 9 TUNISIA 16 JAPAN 13 JAPAN 10 Athlètes qualifiés pour les JO Tokyo Athletes qualified for the Tokyo Olympic Games Atletas calificados para los JO de Tokio Fleuret féminin / Women's foil / Florete feminino Nom / Family name / Prénom / Given name / Pays / Country Q Apellido Nombre / País 1 DERIGLAZOVA Inna ROC Q= Qualifiés par 2 KOROBEYNIKOVA
  • NARSC 2020 Virtual Conference

    NARSC 2020 Virtual Conference

    NARSC 2020 Virtual Conference November 9-13, 2020 The North American Regional Science Council === Official Time Zone: U.S. Central === Monday, November 9, 2020 [CANCELLED] Workshop: Economic Modeling with TERM-USA Using Customized RunGEM Organizers: John Madden, Victoria University; Louis Roos, Victoria University 10:00 AM-1:00 PM 1. Workshop: Spatial Data Analysis for Social Sciences: Data, Technology and Applications Monday Nov 9 | 10:00 AM-1:00 PM | Room: Boyce * FREE REGISTRATION. Registration required. Co-sponsors: Geo-computation Center for Social Sciences, Wuhan University; China Data Institute Instructors: Shuming Bao, China Data Institute; Tao Hu, Center for Geographical Analysis, Harvard University; Yuanzhen Shao, Geo-computation Center for Social Sciences, Wuhan University Link to more information: Spatial Data Analysis for Social Sciences 10:00 AM-5:00 PM 2. Workshop: Spatial Data Analysis with PySAL Monday Nov 9 | 10:00 AM-5:00 PM | Room: China Data Institute Registration Required. Instructors: Sergio Rey, University of California - Riverside; Wei Kang, University of California – Riverside Link to more information: Spatial Data Analysis with PySAL 10:00 AM-11:40 AM 3. The Regional Science Academy (TRSA) Special Session: Talk Table on 'The Post-Corona Space-Economy' Monday Nov 9 | 10:00 AM-11:40 AM | Room: IMPLAN Organizers: Peter Nijkamp, JADS, The Netherlands; Karima Kourtit, Open University, Heerlen The Netherlands Speakers (tentative): Richard Florida, Paul Romer, Ed Glaeser, Jo Stiglitz, Saskia Sassen, Simi Davoudi, Sumona Banerjee, Klaus Zimmermann, Eduardo Haddad This session provides an innovative interaction between prominent speakers and a wider, orchestrated audience online connected all over the world. Issues to be addressed: - Will the COVID-19 pandemics change our views on urban density and design? - Will suburbs become more attractive residential areas? NARSC 2020 Virtual Conference | 1 === Official Time Zone: U.S.
  • HAVE YOU EATEN? HAVE YOU DIVORCED? DEBATING the MEANING of FREEDOM in MARRIAGE in CHINA by WILLIAM P. ALFORD & SHEN YUANYUAN

    HAVE YOU EATEN? HAVE YOU DIVORCED? DEBATING the MEANING of FREEDOM in MARRIAGE in CHINA by WILLIAM P. ALFORD & SHEN YUANYUAN

    HAVE YOU EATEN? HAVE YOU DIVORCED? DEBATING THE MEANING OF FREEDOM IN MARRIAGE IN CHINA by WILLIAM P. ALFORD & SHEN YUANYUAN “Have You Eaten? Have You Divorced? Marriage, Divorce and the Assessment of Freedom in China,” in Ideas of Freedom in the Chinese World, ed. W. Kirby (Stanford University Press, 2003).* A great deal of discussion about freedom in the People’s Republic of China has proceeded on certain assumptions about the role of the state and about law’s place in helping define it. At the heart of these assumptions is the idea that the cause of freedom in China will best be advanced through the state’s retrenchment and a concomitant ceding of power to non-state actors, particularly with respect to economic and social matters. This notion is perhaps most obvious in calls for the promotion of greater economic freedom via both the “privatization” of state owned enterprise and an increasing reliance on market forces, but it also informs the view that such measures are or soon will be leading to a marked growth in political freedom. And it undergirds the conviction of most observers that what is termed the rise of civil society will perforce enhance personal freedom in China. As the noted Chinese scholar Liu Junning observed in a recent essay extolling Hayek, “almost all of those who shape public opinion in China are liberals [as] classical liberalism now dominates China’s intellectual landscape.”1 Law occupies a prominent position in this vision, being increasingly seen in both academic and policy circles as critical to the attainment for Chinese of fuller economic, political, and social freedoms.
  • Gendered Patterns and Solidarity of the Unions: Differentiations Between International Marriages and Domestic Marriages in China

    Gendered Patterns and Solidarity of the Unions: Differentiations Between International Marriages and Domestic Marriages in China

    Gendered Patterns and Solidarity of the Unions: Differentiations between International Marriages and Domestic Marriages in China Shenghan Cai1 Fei Guo2 and Shuang Liu3 Abstract With implementation of the economic reform, opening-up, and family planning policy, China has experienced profound socioeconomic and cultural changes since the late 1970s. Following the relax of migration control, the country’s youthful structure of population and adequate labour force contributes to its geospatial imbalanced socioeconomic prosperity and large scale of emigration. Recently, with China’s economic success, the internal and international migration has increased while international marriages experienced dramatic increase and decrease, which requires sufficient study. Using a unique dataset of international and domestic marriage registration from the provincial Bureau of Civil Affairs, this paper aims to examine the differentiation between international marriages and domestic marriages from 2010 to 2014, the effects of educational attainment, occupation and marital status on the choice of transnational relationships. Logistic and Cox regression models are used to analyse the probability of choosing international marriages and the solidarity of both international and domestic marriages. The results suggest that international married couples show a higher probability of larger age gap, remarriage, and divorce, yet the age-gap and proportion of remarriage are decreasing in recent years. Younger birth cohorts might have shorter solidarities for both types of marriage. Different from conventional understanding, this study suggests that individual with primary or college educational attainment are more likely to marry internationally while occupation in commerce and service industry might increase the possibility of choosing international marriage. The result also suggests that Mainland Chinese and residents from SARs couples experienced the lowest hazard of divorce than Mainland Chinese and Overseas sojourn Chinese couples who share more cultural and social similarities.