在 Swift 和区块链出现之前一百年,中国人就建好了自己的跨境金融网络

marsbitОпубліковано о 2026-05-15Востаннє оновлено о 2026-05-15

Анотація

在Swift和区块链出现之前一个世纪,中国已经存在一个高效运转的跨境金融网络——侨批。这一完全私营、点对点的网络,无需中央银行或官方清算系统支撑,在百余年间(约19世纪中叶至1979年)承担了中国,尤其是潮汕、闽南地区大量的国际收支,抗战期间甚至曾占中国外汇收入的一半以上。 其运作依赖“水客”和“批局”。早期“水客”作为人肉节点,凭同乡身份和信用,将华侨的信与现金绑在身上跨越南洋与家乡,点对点送达,违约率极低。后发展出专业化“批局”,形成机构网络。其机制精妙:采用港币等流动性好的货币作为结算媒介;通过关联进出口贸易对冲资金流,实现“净额清算”,极大减少了跨境现金运输。 即使在战乱中,如1939年汕头被日军侵占后,侨批网络仍能创新求存,开辟了经越南海防、广西东兴的“东兴汇路”地下通道,并使用暗语(“稻谷一包”代表具体金额)躲避审查,持续将侨汇送达国内。 侨批网络的基石是深厚的乡土宗族信用与文化共识(“信比命大”),信用本身即抵押品。它承载的不仅是资金,更是海外华侨对家人的深切牵挂与责任。这一依靠口音、乡谊和承诺运转的金融奇迹,其展现的信任强度与网络韧性,是后世任何复杂金融系统都难以在同等条件下复现的。它朴素而壮丽地诠释了“信用”的本质。

撰文:小饼,深潮 TechFlow

最近被《给阿嬷的情书》刷屏了。豆瓣 9.1 分,21 世纪以来评分最高的国产电影,五一档票房黑马,破 2 亿了还在持续发酵。

电影讲的是一封迟到半世纪的信。1940 年代潮汕,男人下南洋谋生,留下年轻的妻子和三个孩子。他在异乡客死,旅馆老板的女儿出于一份恩情,冒名给他妻子写了 18 年的信,寄了 18 年的钱。

电影里那一封封皱巴巴的纸,潮汕话叫“批”。海外华侨寄回老家的信和钱合在一起,就叫“侨批”。听起来很土,但如果懂一点金融史就会明白:

这玩意儿,是人类历史上最神奇的跨境金融网络之一。比 Swift 早一百年,比区块链早一百五十年。完全私营、点对点、无中央清算、跨主权运转,撑起了近代中国半壁江山的国际收支。

它的整个信用基础,就是一句潮汕话:“信比命大”。

一个被遗忘的金融基础设施

先看几个数字,你就知道这玩意儿当年有多牛。

侨批起源可以追溯到 19 世纪中叶。目前能找到最早的实物侨批是 1881 年的,但实际运作可能更早。一直到 1979 年这门生意被并入中国银行系统才彻底落幕,整整运转了一百多年

现存档案大约 17 万件,广东占 16 万件(其中潮汕地区超过 10 万件),福建约 1 万件。这只是劫后余生的。鼎盛时期,每年通过侨批渠道流入中国的资金以亿计美元。1937–1945 年抗战期间,侨批侨汇曾占中国外汇收入的 50%以上,占据半壁江山。

陈嘉庚一个人靠侨批往老家汇钱,1913 年办了集美学校,1921 年办了厦门大学。一所完整的现代大学,是用一封封皱巴巴的信汇出来的。

更狠的是它的运作机制。

1979 年之前的大部分时间里,这个网络的运转几乎不依赖任何政府背书、任何中央银行、任何官方清算系统。没有 Swift,没有央行外汇管理,没有跨境银行同业账户,什么都没有。

它靠什么?靠三样东西:水客、批局、和一种叫信用的,今天的金融业最缺失,也最珍贵的东西。

水客:人肉版的链上节点

最早的侨批是没有局的,全靠“水客”。

水客是一个职业,专门坐红头船在南洋(东南亚)和潮汕、闽南之间来回跑。他们到南洋的矿山、橡胶园、码头去找同乡,挨家挨户收信、收钱,然后塞进腰带里。钱真的是绑在身上的,回中国后再挨家挨户送到收信人手里。

听起来很原始?但这套机制有几个让现代金融专家都得叫一声“卧槽”的特性:

第一,它是点对点的。 没有中间清算行。汇款人把钱交给水客的那一刻起,到收款人收到的那一刻为止,这笔钱不经过任何银行账户、任何主权货币体系的过手

第二,它是身份验证的。 水客通常是同乡人,认识双方。这就是一种比 SSL 证书还可靠的身份认证,你跑得了和尚跑不了庙,潮汕一个村子的人,谁家几口人、住哪条巷子、亲戚网络怎么连,水客全在心里。

第三,它的违约率,趋近于零。

这一点要单独拿出来说。19 世纪到 20 世纪上半叶的水客,没有抵押品、没有保险、没有法律追索。他们身上经常带着一个村几十户人家的全部积蓄,按今天的购买力换算,单次可能就是几百万人民币。如果水客跑路,没人能抓他,更没人能让他赔。

但他们就是不跑。

为什么?因为这个生意的本质,是信用作为唯一抵押品。一个水客如果跑一次,他在潮汕和南洋两边的所有同乡关系都会瞬间归零,他这辈子在华人圈就废了。这种被整个共同体永久封禁的成本,比任何法律惩罚都重得多。

批局:从 P2P 到金融机构网络

水客时代久了,开始有人专业化经营,这就出现了批局,专门的侨批生意所。

批局的出现,把侨批从“个人点对点”升级成了“机构网络”。但和现代银行不一样,批局始终是民营的、家族经营的、网络化的,一头在南洋,一头在侨乡,靠老乡关系和家族信用编织成网。

它的资金流转方式精妙到什么程度?仔细拆解一下:

第一步,南洋华侨 A 走进当地批局,交 100 泰铢,告诉批局要寄给潮汕的家人 B。

第二步,批局当场按汇率给 A 开一张"批"(信件+汇款单),上面写的金额可能是港币,可能是大洋,几乎不会是泰铢。

为什么不是泰铢?这就是侨批最聪明的地方之一。早期跨国批局长期用港币作为结算货币,因为港币挂钩英镑、流动性好、在整个东南亚都被认可,这相当于近代东亚华人圈自发选出了一种超主权结算货币。

听起来有点像今天 Crypto 圈对 USDT/USDC 的需求逻辑,跨境、避开汇率管制、流动性深、所有参与方都认。

第三步,批局南洋分号把信和汇款指令通过船运送回潮汕的对应批局,但钱不一定真的运回来。

这是关键。一个成熟的批局会和南洋当地的进出口商建立长期关系。南洋华人寄给老家的钱(南洋→潮汕方向),可以直接用于支付从中国进口商品的货款(潮汕→南洋方向)。两个方向的资金流互相对冲,真正需要跨境运输的现金,可能只有差额的一小部分。

这套机制,今天有个时髦名字,叫“净额清算”(netting),Swift 系统每天处理几十万亿美元交易,本质上就是在做这件事,批局 100 年前就在做了。

第四步:潮汕的批局收到指令后,派“批脚”上门派送。批脚通常步行几十公里,挨家挨户送,给不识字的婆媳代读代写回信,确认收到。然后这封“回批”再原路返回南洋,整个交易闭环至此完成。

全程没有银行账户,全程没有政府监管,全程没有任何中央清算系统,但它就这么稳稳地跑了一个世纪。

暗批与东兴汇路

侨批最魔幻的故事发生在战乱年代。

1939 年,日寇侵占汕头,正常的批局汇路被全面切断。50 万侨乡家庭眼看就要断了生计。

这时候华侨们干了一件载入史册的事,他们重新走出了一条地下汇路。

货从南洋走船到越南海防,进入中越边境的东兴口岸,然后用挑夫一担一担挑进广西,再辗转回到广东侨乡。这条路被称为“东兴汇路”,鼎盛时期一年汇款额仍能达到数千万元。

主权金融系统在战火中崩溃了,民间金融网络反而临时搭起了一条全新的通道。

更狠的是“暗批”,为了躲避日军和后来国民党的截查,华侨把汇款金额用暗语写在信里。“稻谷一包”代表多少银元,“咸鱼五条”代表多少港币,整套暗语系统在水客和批脚的脑子里运转,敌人就算截到了信也读不懂。

抗战时期周恩来在武汉给古巴华侨谭一西亲笔回信致谢,因为这位华侨把抗日捐款夹藏在侨批里直接送到了八路军武汉办事处。

这事儿放在今天什么概念?相当于在美元被制裁、Swift 被切断、银行账户被冻结的情况下,海外华人靠一个民间共识网络,每年还能把数千万美元等值的资金,定向送达指定的收款人

你说这是不是“抗审查交易”、“链下账本系统"、“民间稳定币清算网络”?但它的发明者不知道这些词,他们只知道:家里阿嬷在等钱,孩子要吃饭,国家在打仗。

再也回不去的金融奇迹

侨批和区块链、和 Swift 是对于信用的不同诠释。

Swift 是国家信用的合作,它建立在主权货币、央行、商业银行、监管协调之上,它的强大依赖于整个国际秩序的稳定。Crypto 是数学和代码的信用,它试图用密码学和共识算法来替代人与机构的信任。

那侨批呢?

侨批的本质是宗族、乡土、人情、誓言的信用,它没有数学,但它有族谱,有口音和家乡话,它运转的核心是一种把违约当成“社会性死亡”的文化共识。

这是我们现代金融业最需要的东西,信用本身就是抵押品

今天的金融业所有所谓的"创新",本质上都在用各种方式补偿这种东西的消失:抵押品、担保、监管、保险、法律追索、信用评分、KYC、AML。我们用越来越复杂的系统,试图复原那种“一个水客腰里揣着一个村的钱也不跑”的简单状态。

这件事的难,得通过具体的人才能掂出分量。

光绪年间,旅泰华侨杨捷给老家寄了一封侨批,里面只有 10 个字:“见信至切赎回吾女回家”。当时侨汇中断,他妻子被迫把女儿卖了。他知道之后心如刀绞,急寄 5 万元回家,除了“至切”再写不出任何东西。

新加坡街头摆摊的女性华侨陈莲音,自己快活不下去了,听说母亲伤了脚,省吃俭用凑钱寄回家:“大人因三餐常缺,以致伤及足部,难离杖举步,女闻之不禁泪下涔涔。”她管这叫天伦之罪。

电影里阿嬷收到的最后一封侨批写的是:“暹罗虽远,心有所寄,身若比邻,切要平安,即为团圆。”

侨批的金额,大多是 5 港币、10 港币、50 港币,一封信寄一点,但年复一年。百年之间,几代华人,几万家批局,几十万水客和批脚,把一笔笔小钱、一句句平安,跨越战争、革命、动荡、饥荒,准时送进了潮汕、闽南、五邑那些他们一辈子可能没机会回去的家门口。

这件事的金融工程难度,至今没有任何一个现代支付系统能在同等条件下复现。

而它运转的全部技术栈,不过是:一艘红头船,一个口音相熟的水客,一条褪色的腰带,和“信比命大”这四个字。

加密圈这十几年所有的宏大叙事,去中心化跨境支付、无需许可的金融网络、绕过 Swift 的全球清算、民间稳定币、信用即抵押,在中国南海岸那些早就被遗忘的村落里、那些不识字的婆婆媳妇手里、那些没读过书的水客腰间,已经发生过了,整整一百年。

这是一个我们可能再也回不去的,关于“信用”二字最朴素也最壮丽的故事。

谨以此文,致敬所有在那张泛黄纸页上写过字、签过名、托过付、收过款的人。

也致敬今天还在试图重建这种信用网络的所有人。

Пов'язані питання

Q文章中所描述的‘侨批’是什么?它是如何运作的?

A‘侨批’是19世纪中叶至1979年间,海外华侨寄回家乡的信件与汇款合一的凭证。其运作最初依靠个体‘水客’人肉携带,后发展为专业‘批局’网络。汇款人将当地货币交给南洋的批局,批局开具以港币等结算的‘批’单,通过船只将指令送至国内联号,再由‘批脚’徒步送达收款人手中。资金则常通过进出口贸易对冲,实现净额清算,全程无需银行账户或中央清算系统,完全依靠民间信用网络运转。

Q侨批网络在信用机制上与Swift和区块链有何本质区别?

ASwift依赖于主权国家、央行和商业银行间的制度性合作与法律保障;区块链(Crypto)依赖于数学密码学和去中心化节点的算法共识。而侨批网络的信用基础完全是社会性的,它依托于宗族、乡土和人情关系,其核心是‘信比命大’的文化共识,将违约视为‘社会性死亡’。这是一种以个人和家族声誉为抵押的、非正式的信用体系。

Q‘东兴汇路’和‘暗批’是在什么背景下出现的?它们体现了侨批网络的什么特点?

A1939年日寇侵占汕头,正常侨批汇路被切断。为维持侨乡生计,华侨开辟了从越南海防经广西东兴口岸再转入广东的‘东兴汇路’。同时,为躲避日军和国民党截查,出现了使用‘稻谷一包’、‘咸鱼五条’等暗语表示金额的‘暗批’。这体现了侨批网络在官方金融基础设施崩溃时,展现出强大的韧性、适应性和抗审查能力,能够依靠民间智慧自发重建地下金融通道。

Q侨批网络在资金清算和跨境流通上有哪些精妙的金融设计?

A侨批网络的金融设计非常精妙:1. **结算货币**:长期使用港币作为超主权结算货币,以规避各国汇率管制,增强流动性。2. **净额清算**:批局与南洋进出口商合作,将华侨汇回的资金与支付中国出口商品的货款进行对冲,极大减少了实际需要跨境运输的现金量。3. **点对点直达**:资金从汇款人到收款人,不经过银行体系,实现了高效的跨境转移。这些设计在功能上与现代国际清算系统(如Swift)和加密货币的某些理念不谋而合。

Q文章认为,侨批故事对今天的金融创新有何启示?

A侨批故事启示我们,最核心的金融创新可能不在于技术的复杂,而在于信用的本质。现代金融用抵押、担保、监管、算法等复杂系统来弥补人与人之间直接信任的缺失。而侨批证明,一种基于深厚社会关系与文化共识的、以信用本身为唯一抵押的体系,能够在一个世纪里稳定支撑起庞大的跨境金融活动。这对今天试图构建去中心化金融、重建社会信任网络的努力,提供了一个极具人文温度和历史深度的参照。

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marsbit32 хв тому

Deficits, Inflation, and the New Fed: The Deep Logic Behind US Bond Yields Breaking 5% and the Market Reset

In the week of May 15-19, 2026, U.S. long-term Treasury yields surged to multi-year highs, with the 30-year yield hitting 5.2%, a level unseen since 2007, and the 10-year yield climbing to 4.687%. Equity markets declined in response. Four primary factors are driving the rise in yields. First, stubborn inflation persists, with April wholesale prices rising 6% year-over-year, fueling expectations of potential future Fed rate hikes instead of cuts. Second, newly confirmed Fed Chair Kevin Warsh inherits a complex inflation battle, with markets closely awaiting his first FOMC meeting. Third, deteriorating U.S. fiscal health, marked by large deficits and rising debt servicing costs, is eroding the traditional "safe-haven" premium for Treasuries. Fourth, the "One Big Beautiful Bill" tax cuts are projected to add trillions to the national debt, contributing to Moody's recent credit rating downgrade. Rising yields pressure stocks through several channels: a higher discount rate reduces the present value of future earnings (especially for growth stocks); rising risk-free rates compress equity risk premiums, making bonds relatively more attractive; higher borrowing costs impact consumers and corporations; and a stronger dollar affects multinational earnings. For investors, the environment favors value and financial stocks over long-duration growth stocks. Bond investors find attractive yields in short to intermediate maturities, while income investors see the best fixed-income opportunities in over a decade. Key developments to watch include Chair Warsh's first FOMC meeting, upcoming inflation data, Treasury auction demand, and whether the 30-year yield approaches 6%, a level that could trigger a more sustained equity valuation reset. The bond market's message is clear: the era of cheap government borrowing is over, posing a central challenge for markets in late 2026.

marsbit34 хв тому

Deficits, Inflation, and the New Fed: The Deep Logic Behind US Bond Yields Breaking 5% and the Market Reset

marsbit34 хв тому

Is MicroStrategy Selling Bitcoin Not a Bearish Signal? Deconstructing the 5 Financial Logics Behind Corporate Bitcoin Divestment

The article "Is Strategy Selling Bitcoin Not a Bearish Signal? Decoding 5 Financial Logics Behind Corporate Bitcoin Divestment" analyzes why companies might sell their bitcoin holdings, arguing it's not necessarily negative. It begins by noting the market's surprise at Strategy's potential sale, contrasting its previous "never sell" stance. The core argument is that corporate decisions prioritize shareholder value, and selling bitcoin can be a rational strategic choice. The article outlines five key financial reasons for such sales: 1. **Increase Bitcoin Holdings Per Share:** Companies can use proceeds from bitcoin sales to repurchase shares when the stock price is undervalued relative to its bitcoin assets. This reduces the outstanding share count, potentially increasing the bitcoin amount backing each remaining share. 2. **Optimize Capital Structure & Reduce Financing Costs:** Building cash reserves through bitcoin sales can improve credit ratings (as favored by agencies like S&P), leading to lower future borrowing costs. Repaying debt with sale proceeds also reduces financial leverage. 3. **Legitimate Tax Planning:** In the absence of wash-sale rules for bitcoin in the US, companies can sell to realize capital losses, then repurchase, lowering the tax basis of their holdings and creating tax offsets. 4. **Counter Negative Market Narratives:** A controlled, non-disruptive sale could demonstrate market resilience and disprove fears that corporate selling would crash the market, thereby normalizing bitcoin as a corporate treasury asset. 5. **Repurchase Preferred Stock at a Discount:** If a company's preferred stock trades significantly below its face value, using bitcoin sale proceeds to repurchase it can retire expensive liabilities at a profit, saving on future dividend payments. The conclusion emphasizes that bitcoin's monetary properties offer flexibility. Strategic sales can protect corporate and shareholder interests, making asset utilization more important than rigid "hold" mandates.

marsbit1 год тому

Is MicroStrategy Selling Bitcoin Not a Bearish Signal? Deconstructing the 5 Financial Logics Behind Corporate Bitcoin Divestment

marsbit1 год тому

Why Did Zhipu Surge Nearly 30% in a Single Day?

"Global AI Model Unicorn" Zhipu's stock surged nearly 30% in a single day, reaching a new market cap high. The catalyst was the launch of its GLM-5.1-highspeed API, boasting a generation speed of **400 tokens per second**, setting a new global benchmark. This speed, roughly 3-5 times faster than industry leaders like OpenAI's GPT-4o and Anthropic's Claude, is achieved **without compromising the full-scale model's capabilities**. In the era of AI Agents requiring dozens of self-calls, such latency reduction is critical, transforming speed from a system metric into a determinant of intelligence limits. The breakthrough stems from a three-layer technical overhaul: 1. **TileRT Inference Engine**: Compiles the entire model into a continuous, always-on computation pipeline using "Warp Specialization," minimizing GPU idle time by having different processor groups handle data loading, computation, and communication in parallel. 2. **Heterogeneous Parallelism for MLA**: To efficiently run the GLM-5.1 model using the MLA attention mechanism, TileRT employs a heterogeneous strategy. One GPU handles sparse indexing/routing, while the others perform dense computation, optimizing for MLA's unique workflow. 3. **ZCube Network Architecture**: Replaces the standard Spine-Leaf (ROFT) network topology with a flat, dual-group interconnect. This design creates a single optimal path between any two GPUs, eliminating network congestion at scale and reducing latency. The business impact is significant: a 15% increase in cluster throughput (free extra capacity), a 40.6% reduction in tail latency (improved stability), and a one-third cut in networking hardware costs. Long-term, this innovation challenges the dominance of NVIDIA's integrated hardware-software stack (GPU+NVLink+InfiniBand), potentially benefiting manufacturers of high-density Leaf switches and optical modules while lowering the software barrier for domestic AI chips like Huawei's Ascend. The innovation proves that more can be achieved with the same compute, reshaping the infrastructure beyond just GPUs.

marsbit2 год тому

Why Did Zhipu Surge Nearly 30% in a Single Day?

marsbit2 год тому

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