廣告
xx
xx
"
"
回到網頁上方

MAC: China’s delay in notifying on fraud case unacceptable

Reporter TVBS News Staff
Release time:2024/09/27 10:48
Last update time:2024/09/27 14:23
  • S

  • M

  • L

MAC: China’s delay in notifying on fraud case unacceptable (TVBS News) MAC: China’s delay in notifying on fraud case unacceptable
MAC: China’s delay in notifying on fraud case unacceptable (TVBS News)

TAIPEI (TVBS News) — Mainland Affairs Council (MAC, 大陸委員會) officials criticized China on Thursday (Sept. 27) for not following established mechanisms to notify Taiwan about cases where Taiwanese citizens face detention. This situation has persisted since former President Tsai Ing-wen (蔡英文) took office, drawing significant concern.

A 22-year-old Taiwanese man went missing after arriving in Shanghai on Aug. 27. China's Taiwan Affairs Office (國台辦) delayed a month before stating the man was under investigation for alleged fraud. China claimed the reason for not following the cross-strait judicial assistance agreement's notification protocol was "well-known."

 

Deputy Minister and spokesperson Liang Wen-chieh (梁文傑) addressed the issue during a routine press conference on Thursday. He stated that China's failure to notify proactively had caused family concerns and media speculation. Only after public pressure did China acknowledge the individual's involvement in the fraud.

Liang emphasized the necessity of notification, stating it ensures accurate information between the two sides, and lamented China's politicization of such matters.

Liang also noted that cross-strait agreements explicitly stipulate a notification mechanism. However, since May 20, 2016, political factors from China have continuously disrupted the implementation of these agreements.

 

Taiwan Affairs

#Taiwan# China# Mainland Affairs Council# cross-strait relations# Taiwanese citizens# detention# notification mechanism# Tsai Ing-wen# Taiwan Affairs Office# cross-strait judicial assistance agreement

readmore

notification icon
感謝您訂閱TVBS,跟上最HOT話題,掌握新聞脈動!

0.1366

0.0754

0.212