從法案審議時長,回顧2000-2017年的香港立法會

提交法案,製定法律是立法會的重要職能。法案在刊登憲報後,須經過首讀、二讀、三讀才能成為法律。立法會通過一項法案所需的時間,關乎法案的複雜程度與爭議性。將法案的通過日期與刊登憲報日期相减,可得到該法案的審議時長。

從第二届立法會開始至今(2000-2017年),立法會每年平均處理法案數量為40件,其中通過的法案數量為37件,每件通過的法案平均審議時長為256天。

立法會議員們也在趕deadline嗎?

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上圖顯示,2000至2017年,每年通過的法案平均審議時長呈現四年一次的週期性波動,分別於2004、2008、2012與2016年達到最低值,即在這幾個年份,法案的平均審議速度加快,而這四個年份恰是立法會的換屆年。

諮詢立法會秘書處後得知,若某法案在當届立法會任期完結時未處理完畢,即失效,不得拖至下一届立法會。若欲繼續審議該法案,需重新刊登憲報,進行三讀程式。換屆年的法案通過效率有所提高,難道立法會議員們也在趕deadline嗎?

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立法會小百科 Q&A

立法會議員是如何產生的?

第六屆立法會(2016-2020)由70名議員組成,其中35名經地方選區直接選舉產生,其餘35名由功能界別選舉產生。

由地方選區選出的議員

三十五名議員由5個以地方分界劃定的選區(即地方選區)選舉產生。五個地方選區分別為香港島、九龍西、九龍東、新界西及新界東。每個地方選區根據區內人口數目設有5至9個議席。

由功能界別選出的議員

三十五名議員由29個功能界別選舉產生,每個界別分別代表香港一個重要的經濟、社會或專業界別。除了勞工界及區議會(第二)功能界別獲分別分配3個及5個議席外,其餘27個功能界別各獲分配一個議席。

立法會的主席是如何產生的,擔當什麼角色?

立法會主席由立法會議員互選產生,在立法會擔當主持會議、行政及禮儀的角色,並確保立法會會議能順利進行。

立法會的功能是什麼?

立法會在會期內通常逢星期三上午11時在立法會綜合大樓會議廳舉行會議,履行其監察政府工作及制定法律此兩項職能。在立法會會議上所處理的主要事項包括:質詢、聲明、法案、具立法效力的議案及不具立法效力的議案。

法案和議案有什麼區別?

“法案”是新法例的建議或對現有法例的修訂建議。政府及議員可提交法案,以提出制定新法例或修訂現行法例的建議,供立法會審議。法案須在立法會完成三讀程序,才可成為 法律。法案提交立法會後,議員會辯論及表決法案。

立法會事務大多透過“議案”方式處理。議案分為兩類:具立法效力的議案及不具立法效力的議案。

具立法效力的議案

官員及議員可動議具立法效力的議案,供立法會審議。例如:官員可動議制定或修訂附屬法例的議案,以徵求立法會的批准。

不具立法效力的議案

議員可於立法會會議動議辯論不具立法效力的議案,在議案辯論中,議員有機會表達對公共利益事宜的意見,或籲請政府採取某些行動。官員可出席辯論,回應議員的意見。

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Six-Hour with Geeks: A Glance into Hong Kong Open Source Movement

Loads of imagination about programming has been running helter-skelter in my mind before I step into the spacious and well-polished Spectrum studio on the 11th floor of an office building at Sheung Wan in this bright Saturday morning. As someone who has been concentrating only on courses about liberal arts since senior school, I always consider coding as something far away from my daily life.

But today, Chico Xu, Ivy Wang and I, as student reporters, are going to take a glance into this sophisticated business which we once thought was irrelevant to the lives of us and the lives of many, but which actually is, and to a large extent.

The event we are attending is called the Global Pandas Documentation Sprint, a worldwide event held simultaneously in more than 300 countries on March 10, 2018, aiming at improving this Python library’s documentation with clearer explanations and better examples, and trying to leave, at the end of the day, with the library enhanced “in a perfect state,” as put by its official website.

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The Global Pandas Documentation Sprint was held simultaneously in more than 300 countries around the world.

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Workshop: Forensics and Verification with Storyful on Social Media

This is a three-week training workshop conducted by journalist from Storyful, a social media information gathering/ content producing platform used by many journalists and marketers. The training time is April 11/ 18/ 25 afternoon at CVA703. Digital forensics and verification is also related with data journalist’s day-to-day job, especially many data/ information nowadays come from social media. We will have the second class of the workshop tomorrowWednesday April 18, at 4:30pm in the CVA 703 lab. Please find the following announcement edited from Robin Ewing’s message.

The trainers this week are Storyful journalists Rachel Blundy and Layla Mashkoor.

  • Rachel was a journalist with the SCMP before coming to Storyful
  • Layla worked in communications and marketing.

They will focus on using forensic verification tools to investigative and verify social photos and video and how you can debunk fake or misleading content. This will be a hands-on workshop and great training for those of you who want to work in media or communication.

Prerequisite: The trainers have asked that everyone have a Twitter account and a TweetDeck account. Please open free accounts before class if you don’t already have them.

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How China Blockbuster War Movies Capture China’s Nationalism

Summary: China Blockbuster War Movies become more and more popular in the global. The national movie frequently takes on the responsibility of representing the national identity to its citizens or even the world. How does China Blockbuster War Movies Capture China’s Nationalism? What is the opinion of the public? We used Douban as the source to extract data from the film reviews of two movies (“Operation Red Sea” and “Wolf Warrior” ) on the Douban, a popular art consumption and rating website, to figure out the thought of people behind the screen and the future development of Blockbuster War Movies in China. With the help of Python, we made a Wordcloud picture of the frequent words included in the 1,000 pieces of films reviews for each movie. We found that China’s new breed of patriotic hero on the big screen reflects the rise of a superpower and  China’s War Movies is shaping the image of China.

Last month, movie tickets sales in mainland China hit 10.1 billion yuan ($1.6 billion), a box office world record for monthly sales in a single market. No film stood out more than “Operation Red Sea.”, which had grossed almost 2.5 billion yuan in just 13 days by the end of February.

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 “Operation Red Sea” is based on the Chinese navy’s March 2015 evacuation of Yemen. Set amid militant unrest in a fictional Middle Eastern country, it tells the stories of a ship’s crew and an assault team as they rescue Chinese citizens and foreign refugees, resolving a potential nuclear crisis along the way.

Similarly, last summer’s blockbuster “Wolf Warrior 2,” ($854 million), tells the stories of a loose-cannon Chinese soldier in an unnamed African country. “Operation Red Sea” tones down the patriotism of last year’s smash hit film ‘Wolf Warrior 2’, playing up gore over glorifying war.

How does China Blockbuster War Movies Capture China’s Nationalism? What are the opinion of the public in China and the globe? Can these films be a step towards making Chinese action films more palatable overseas? We will make some Analysis based on the data.

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National Congress: signs for a clearer sky in Beijing

SummaryIn this article, we collected the data of the air quality in Beijing over the past 5 years.We assumed that the significant changes or improvements in air quality were related to China’s two top Annual Sessions – the Chinese People’s Political Consultative Congress (CPPCC) and the National People’s Congress (NPC).Besides, there were several news and current affairs affected the air quality in Beijing. We will also take a closer look at its air quality at that time to see if there are significant pollutants reductions during those periods.

Four years ago, the Chinese premier, Li Keqiang, said at the National People’s Congress and many more Chinese citizens watching live on state television, “We will resolutely declare war against pollution as we declare war against poverty”.

Since then, cities have cut concentrations of fine particles in the air by 32 percent on average. Just a few months before the premier’s speech, the country has released a national air quality action plan to require all urban areas to reduce concentrations of fine particulate matter pollution by at least 10 percent. As the capital city, Beijing was required to reduce pollution by 25 percent, of which the city set aside a massive $120 billion yuan to achieve this target.

All the statics in this project comes from Online China’s Air Quality , which is a public platform monitoring and analyzing China’s air quality covering statistics from 367 cities with AQI, PM2.5, PM10, S02, N02, O3, CO, temperature, humidity, wind scale, wind direction, satellite cloud picture and so on.

In this project, we mainly focus on Beijing’s air quality including AQI, air pollution category, and main pollutants such as PM2.5 during December 2013 to March 2018.

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Li’s family business map and spring layout analysis

Summary: In this article, from the graph of major holding companies and it’s main shareholders under Richard Li Tzar Kai, Victor Li Tzar Kuoi, and Li Ka-shing, we found in what areas are they investing and the complex network of relationships between subsidiaries. By analyzing the annual reports of Victor Li Tzar Kuoi and Richard Li Tzar Kai’s company’s companies, we can determine whether Li Ka-shing made the right decision when he announced his retirement. 

Background:

Li Ka-shing, a Hong Kong billionaire who will turn 90 this summer, announced his official retirement in May 2018. In January 2015, “Forbes” magazine announced the ranking of Hong Kong’s richest man-Li Ka-shing’s net assets totaled 33.5 billion U.S. dollars, or 260 billion U.S. dollars, making him the richest man in Hong Kong, only replaced by SF Express’s founder Wang Wei in 2017.

He announced on March 16th that he’ll step down as chairman of CK Hutchison Holding Ltd. and CK asset Holding Ltd., making way for his eldest son, Victor Li Tzar Kuoi. Victor assisted Li Ka-shing to run CK holding Ltd. for many years and his youngest son, Richard Li Tzar Kai mainly invested in communications and media business outside.

Richard Li Tzar Kai

We grabbed the information from Who’s Who and HKEX(The Stock Exchange of Hong Kong Limited) and got the name of major holding companies and main shareholder of companies. after establishing their relationship, we got graph below.

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Business Map of Richard Li Tzar Kai

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Who control the discourse power in 红楼梦?

SummaryDream of the Red Chamber, also called The Story of the Stone, composed by Cao Xueqin, is one of China’s four great classical novels. Long considered a masterpiece of Chinese literature. The novel is generally acknowledged to be the pinnacle of Chinese fiction. We use the graphics tool to analyze the short path, centralization, structure of degree, clustering coefficient and the clique of those data. And try to find out how closely those characters are connected, and who might be the Social Queen or King in this story.

According to analyst Jiang Qi, there are 448 characters in “A Dream of Red Mansions”. We picked 187 characters who are relatively more important than others in this book and use the graphics tool to analyze these data and get the network below to show their relationship in the Dream of the Red Chamber.

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The relationship between the 187 characters in the book

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Data & News Salon #1 | Digital News and Interactive Reporting Projects from Taiwan Reporter

《報導者》數位專案與互動式新聞

Digital News and Interactive Reporting Projects from
Taiwan Reporter

Time: 12/4/2018 (Thur), 2:45-3:45pm

Venue: CVA203, HKBU

Speakers: 陳貞樺(Mimi CHEN) & 黃禹禛 (Yu Chen HUANG)

Language: Mandarin | 國語

Register Here

Welcome to join us!
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Analyze tracking errors between ETF and stock market index in the last decade

5571521786922_.pic_hd.jpgSummary: In this article, under the context of Hong Kong’s Mandatory Provident Fund scheme (MPF), we find that some Exchange Traded Fund (ETF) occupy large holdings in a particular MPF fund. By calculating the tracking errors over the past ten years, the year of 2008 stands out with the highest tracking error, which corresponds with the global financial crisis. In other years with more stable stock markets, ETF performs relatively well. We also calculate returns between two ETFs and the indexes they track respectively; the results turn out to be different.

We use Python as a calculator, rely on pandas to read csv files downloaded from Yahoo Finance, and time series to present data in the form of charts.

Background

Hong Kong has a rapidly aging society. According to the Population Projections released by Census and Statistics Department, HK is expected to have a third of its population that aged 65 and above by the mid of 21st century. There is a growing concern over the issue of social security especially for the elderly, since the burden for the employed population in the future to take care of the retirees will be unbearable.

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