Legislative Council General Election results: Election Committee constituency
The results of the 2025 Legislative Council General Election are:
Election Committee constituency
-------------------------------------
No.
Candidates
No. of votes obtained
1
Yiu Pak Leung*
1,397
2
Lee Ka Kui (Elvin Lee)*
1,193
3
Man Wing Yee Ginny*
1,308
4
Ng Yuen Ting Yolanda
970
5
Ng Kit Chong*
1,331
6
Ng Wun Kit*
1,164
7
Lau Chi Pang*
1,275
8
Tang Ming Sum Michelle*
1,073
9
Lau Ka Keung*
1,231
10
Fan Hoi Kit*
1,034
11
So Shiu Tsung Thomas*
1,076
12
Hung Kam In*
1,042
13
Orr Ka Yeung Kevin
813
14
Ho Chun Yin Steven*
1,267
15
Koon Ho Ming Peter Douglas*
1,233
16
Wu Yingpeng*
1,002
17
Chiu Kwok Wai (Anthony)
887
18
Kwok Chi Wah Andrew
947
19
Wong Kam Fai William*
1,329
20
Chan Wing Kwong*
1,269
21
Lee Chun Keung*
1,354
22
Ho Kwan Yiu (Junius)*
1,241
23
Fung Ying Lun
988
24
Lam Siu Lo Andrew*
1,189
25
Chan Han Pan (Ben)*
1,348
26
Tsang Chi Man
793
27
Lau Chun Kong
954
28
Ma Kwong Yu
934
29
Ho King Hong Adrian Pedro*
1,210
30
Ngai Ming Tak*
1,345
31
Chen Shaobo
937
32
Fan Chun Wah Andrew*
1,155
33
Chan Chung Yee Alan*
1,066
34
Chan Hoi Yan*
1,386
35
Leung Tsz Wing Dennis*
1,089
36
Quat Elizabeth (EQ)*
1,321
37
Chu Lap Wai*
1,144
38
Chan Siu Hung*
1,273
39
Lam Lam Nixie*
1,160
40
Tang Wing Chun
954
41
Chuang Ka Pun Albert*
1,194
42
Lee Hoey Simon*
1,360
43
Lam Chun Sing*
1,311
44
Wong Kwok Kingsley*
1,187
45
Wong Kam Leung*
1,201
46
Kan Wai Mun Carmen*
1,268
47
Leung Mei Fun (Priscilla)*
1,316
48
Chan Man Ki Maggie*
1,311
49
Chan Cho Kwong*
1,067
50
Chen Chung Nin Rock*
1,343
* elected
Photo by Bastille Post
Speech by FS at CUHK EMBA Annual Conference
Following is the speech by the Financial Secretary, Mr Paul Chan, at the CUHK EMBA Annual Conference today (May 9):
Professor Dennis Lo (Vice-Chancellor and President, the Chinese University of Hong Kong (CUHK)), Professor Lin Zhou (Dean, CUHK Business School), Macy (Chairperson of Organizing Committee, Ms Macy Chan), Michael (Chairperson of Organizing Committee, Mr Michael Chan), CUHK EMBA alumni and students, business leaders, distinguished guests and friends,
Good evening.
Addressing a room full of Executive MBA students and graduates is both an honour and a privilege. There is a particular kind of ambition in this room — one that is not content with success alone, but driven to understand it more deeply, in the belief that better ideas lead to greater impact.
That kind of commitment — to learning, to growth, to asking harder questions — is precisely what today's conversation is about.
The theme of this conference, which focuses on innovation and agile leadership, could not be more timely. Most of us here have lived through the Internet age and the smartphone revolution, which made communication faster and more seamless than anyone had imagined.
Today, the rise of AI places us at a more fundamental tipping point. Technology is not merely changing the answers — it is redefining the questions themselves.
Consider what is already within reach. An AI assistant can learn your preferences, curate a personalised shortlist, and simply ask for your confirmation. We should even ask whether the smartphone and the search engine will remain our primary gateways to the digital world, or whether something altogether new is already taking shape.
To draw an analogy, the power of technology does not lie in drawing the old map with greater precision. It lies in revealing how much of that map remains uncharted — and in showing us that entirely new maps, with new co-ordinates, are being drawn.
This redefinition is unfolding across three dimensions simultaneously.
First, the redefinition of products. Products are no longer discrete, standalone objects. A smart car is a vehicle, but also a mobile platform for data. An insurance policy can be a contract, but equally a dynamic reflection of health data. Innovation today is born from cross-sector convergence and continuous evolution.
Second, the redefinition of services. Services are no longer delivered solely by enterprises. They emerge from collaborative networks of people and AI. But the more profound shift is in what customers now expect. In the past, good service meant reaching the right person quickly. Today, customers expect a solution that anticipates their needs before articulating them. This requires a new architecture of service delivery: human and machine, with AI handling the scale, the speed, and the personalisation that no human team alone could sustain.
Third, and most importantly, the redefinition of business models. In the past, we sought optimal solutions within established frameworks — when demand rose, we expanded capacity; when service needs grew, we opened more branches. Technology invites us to break out of those frameworks entirely. Intelligent manufacturing means that "economies of scale" is no longer the only answer; flexible supply chains have made customised, on-demand production the new normal.
These three redefinitions are opening a commercial frontier unlike anything we have seen before. But if the benefits of technology accrue only to a small circle, its power remains fundamentally constrained. This brings me to the second message I want to leave with you today: inclusivity.
Inclusivity is not charity. Yet it is the smartest business strategy available. The unmet needs of the broader public represent the largest and most underserved market opportunity in existence. When you make quality healthcare, education and financial services accessible and affordable to ordinary residents, you are not serving a group in need of handouts — you are unlocking a vast market that traditional business models have consistently overlooked.
Hong Kong has a distinctive role to play here. We can be a co-architect of standards, a hub for capital, and a bridge between innovation and real-world deployment — from clinical validation of smart healthcare, to green technology financing, to regulatory sandboxes for fintech. Our contribution draws not only on institutional strengths and international networks, but on our genuine commitment to broad-based participation.
Yet inclusive products and services are only the first step. The deeper dimension is empowerment.
History reminds us that the dividends of technological revolution need to be actively guided to reach the many. In the age of steam, and again in the Internet era, early gains concentrated among capital owners and top-tier talent. But today we have the opportunity to write a different story. AI, as an amplifier of human capability, is already enabling what was previously unimaginable: a solo entrepreneur, with the right tools and the right vision, can build a unicorn.
In other words, the unit of competitive advantage is shifting — from the size of your team to the skill with which you orchestrate your tools.
Our mission should be to make that shift available to everyone. To turn individual readiness into collective prosperity, and to ensure that the productivity gains of AI flow broadly across the society.
This is precisely why, in this year's Budget, I placed such emphasis on the "AI Training for All" initiative.
We are not trying to turn everyone into an engineer. We are ensuring that workers, managers, SME (small and medium-sized enterprise) owners, and ordinary residents become capable collaborators with AI: people who can access it, use it effectively, and put it to work as their assistant.
That may sound ambitious, but consider this: if AI can one day be as intuitive as the smartphone, then mass adoption is not difficult to imagine at all. Just as computers once migrated from specialist facilities into offices and homes, AI will find its way into everyone's daily work and life.
For business leaders, it may be tempting to think of AI as "digital employee" that can replace existing workers. But think of a different framing: equipping your workforce with powerful digital assistants can achieve productivity gains, while also freeing your people to do what humans do best — create, imagine and innovate.
Companies that take those extra steps, and think those extra moves ahead, will find that an empowered workforce is also a more innovative one.
All in all, the power of technology must ultimately be measured by its contribution to inclusive growth. And inclusive growth, in the end, depends on, yes, commercial acumen — but also empathy, compassion, and the conviction that a rising tide should lift all boats. I can see that those qualities live in this room.
I will close with this thought. Someone once joked that economists know the price of everything and the value of nothing. With AI, let us never fall into the same trap — in our race to price every efficiency gain, let us not lose sight of the deeper value we are trying to create: a society where the fruits of innovation are broadly shared, and where technology lifts not just the fortunate few, but everyone willing to reach for it.
So here is my ask: let us grow the pie together. And make sure we cut it well.
Thank you very much.
Source: AI-found images
Speech by FS at CUHK EMBA Annual Conference Source: HKSAR Government Press Releases
Speech by FS at CUHK EMBA Annual Conference Source: HKSAR Government Press Releases
Source: AI-found images
