鬼吹灯之牧野诡事

Economist explores human stories behind development_我的网站

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一 |     

Zhou Jiang speaks at an event. Photo: Courtesy of Zhou Jiang
    Zhou Jiang speaks at an event. Photo: Courtesy of Zhou Jiang
Zhou Jiang, a researcher at the Sichuan Academy of Social Sciences, has a favorite book:  White Deer Tableland or Bai Lu Yuan by renowned writer Chen Zhongshi.
As vice president of the Regional Science Association of China (RSAC), Zhou told the Global Times that a lifetime of reading has profoundly shaped the way he sees and understands the world. It ultimately led him to a career in research and academia, where he teaches and pursues scholarly work.
Since earning his PhD in economics in 2000, he has devoted himself to the study of regional science and economics, a field that demands a constant crossing of disciplinary boundaries, drawing on the fields of geography, sociology, history, and ecology among others.
"Reading has kept alive my sense of curiosity and taught me to ask questions with patience and persistence: Where do disparities in regional development come from? How do policies affect different groups in society? And how can a region pursue both efficiency and equity so that development is not merely effective, but also imbued with a greater sense of humanity and warmth?" Zhou noted. 
Founded in 1991, RSAC is a national academic society dedicated to advancing domestic and international academic exchange and cooperation, providing consulting services on spatial planning, urbanization, and regional development, and offering intellectual support for China's modernization drive.
The 57-year-old researcher noted that reading has empowered him in two distinct ways.
"The first is discernment. When confronted with a complex issue, I try not to settle for a simple conclusion. Instead, I make an effort to understand its broader context, how it has unfolded, and the perspectives of the different people involved," he said. 
"The second is a sense of inner steadiness. Setbacks are an inevitable part of both life and work. Good books remind us that hardship is never ours alone to bear; countless people before us have faced circumstances more difficult than our own, made difficult choices, and found the strength to carry on. Reading cannot solve every problem for us, but it can help us remain calm when challenges arise, giving us the clarity and resilience that allow us not to panic or give up too easily," he said. 
Historical depth

Each time Zhou returns to the White Deer Tableland, he finds something different in its pages. 
"When I first read it as a young person, I was drawn primarily to the characters and the twists and turns of their lives. Later, as I began researching regional economics, I found myself paying closer attention to the changes in the land, the countryside, families and social order presented in the story. Now, approaching 60, I have come to appreciate more deeply the choices the characters make, the constraints they face, and the quiet perseverance they show amid the sweeping currents of their times," he said. 
White Deer Tableland uses Bai Lu village in Northwest China's Shaanxi Province as a microcosm, tracing the feuds and intertwined fortunes of three generations of the Bai (literally meaning white) and Lu families. Through their stories, it captures more than half a century of sweeping historical change, from the final years of the Qing Dynasty (1644-1911) to the 1970s and 1980s. The novel won the Mao Dun Literature Prize, one of China's top literature awards, in 1997.
Zhou prefers literary works with historical depth and a keen eye for social change. 
Regional economics may appear to be concerned with the spatial distribution of industries, population and resources, but at its heart, it is about how people live on a particular piece of land, and why some places flourish while others decline, he noted. 
In this sense, literature and history are more than pastimes beyond professional research. They often help him understand the historical context, cultural traditions and social mentality that lie behind economic data, he said. 
When reading novels, Zhou said that he often pays close attention to the relationship between people and the places they inhabit: How the land shapes the local character, how transportation transforms a region, and how shifts in industry reshape families and villages. Such details may not offer a direct conclusion, but they broaden a researcher's perspective. They also serve as a reminder that research should look beyond growth rates and statistical indicators to consider the sense of fulfillment experienced by ordinary people and the dignity of human beings.
Understanding ourselves
Once, while tidying his study, he came across a book filled with notes he had scribbled in his early years. Among them was a question that particularly caught his attention: "In the face of sweeping changes in the times and profound social transformation, what can a person truly determine for himself?"
Looking at those words he had written in his youth was like coming face to face with the person he had been decades ago.
Reading is not simply the act of understanding a book; it is also a record of a person's own growth, he said. The same book can reveal something entirely different when read at different stages of life. 
When we are young, we turn to books in search of answers; but when we become seasoned, we read more to understand life, to understand others, and ultimately, to better understand ourselves, Zhou said. 
In this era of fragmented information, AI can help people access information quickly, organize materials, and gain a basic understanding of unfamiliar fields. Yet deep reading, Zhou said, allows people to see how a conclusion is reached — what evidence supports it, where its boundaries lie, and what alternative interpretations it may invite.
What truly shapes a person, after all, is not how much information they have browsed, but the words that have made them pause and reflect - and the words that have remained with them for many years, he added. 
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     一键部署OpenClaw        这篇文章教你一个动作,三分钟做完,不需要任何专业知识。    动作的名字叫老板自查:打开你手机里的任意一个AI助手,像客户一样开口提问,看看AI给出的答案里,你的企业是什么形象。

二 |     为什么值得学这个动作?因为客户认识企业的第一入口,已经从搜索引擎换成了AI问答。过去客户想了解你,先搜你的名字;现在越来越多的客户直接问AI——这家公司怎么样,这个行业哪家好。AI怎么回答,决定客户对你的第一印象。    可大多数老板从没以客户的角度问过AI一次。

三 | 门店的位置他挑过,招牌的措辞他改过,官网的每一页他审过,唯独AI对话框里的那个自己,他没看过。

四 | 一个普遍的误解是:我的官网做得很全,AI自然知道我们。看完这篇文章你会发现,这个等式经常落空。先学会自查,再看完整的检查怎么做——三分钟,现在开始。    自查的道具只有一件:你手机上装着的任意一个AI助手,不用注册新账号,不用付费。    打开它,问第一个问题——你的公司名加上“怎么样”。

五 | 比如“XX公司怎么样”“XX公司的产品靠谱吗”。尽量用客户的口吻,别用你习惯的行业叫法,客户在对话框里打字是很随意的。

六 | AI的回答看两个要点:有没有你,是详细介绍了你,还是说没有找到相关信息;说得对不对,成立时间、主营业务、产品信息,有没有张冠李戴。建议你多问两款不同的AI助手,它们的取材不一样,答案经常也不一样。    再问第二个问题——你的行业加上“哪家好”。比如“XX行业哪家公司专业”“XX产品选哪家”。这个问题模拟的是还没听说过你的客户:他们不认识你的名字,只带着需求来问。老客户的复购靠交情,新客户的第一次接触,越来越多靠这一问。看一个要点:AI推荐的名单里有没有你;如果没有,名单上都是谁。名单上的那几家,就是你在这个新客户面前的竞争对手。

七 |     两问做完,把结果记下来:有没有你、说得对不对、推荐了谁。这三项,就是你的企业在AI世界里的当前形象。    整个动作三分钟。

八 | 操作没有任何难度,拦住人的只是没想起来。             值得为一个三分钟的动作专门写一篇文章,是因为客户那边已经变天了。

九 |     CNNIC第57次《中国互联网络发展状况统计报告》显示,截至2025年12月,中国的生成式AI用户已经达到6.02亿,比2024年底增长141.7%,普及率42.8%。

十 | 其中,用AI解答问题的用户有4.57亿。    6.02亿人是什么概念?你的客户、你的渠道商、你的求职者,大概率都在其中。问AI“这道菜怎么做”“这份合同要注意什么”“这家供应商靠不靠谱”,已经是普通人获取答案的常规动作。

十一 | 埃森哲2026年的消费者调研给出了更直接的数字:72%的消费者常用生成式AI辅助购物,一半会直接根据AI推荐下单。    这些数字落到你的生意上,含义很朴素:已经有客户让AI替他们做第一轮筛选了。他问你所在的行业哪家好,AI报出三五个名字——你在名单里,他来找你;你不在名单里,他去找别人。整个过程在对话框里完成,你完全看不见,连落选的通知都收不到。过去,客户至少会路过你的门店、刷到你的广告;现在,第一轮筛选在你看不见的地方结束了。    客户没有等你准备好,他们已经搬过去了。    你刚学会的自查,在近真的服务体系里有一个对应的完整动作,叫企业GEO体检。

十二 |     GEO是生成式引擎优化的缩写,通俗地说,就是研究AI怎么获取信息、怎么开口推荐。企业GEO体检,是对企业传播状况的一次全面检查——你的企业在AI眼里是什么样子,客户在AI里看到的你是什么样子。    自查相当于体检的通俗演示。完整体检做四项检查:AI引用,AI眼里有没有你、说得准不准;搜索可见,客户搜不搜得到你;媒体结构,你的内容发在什么媒体上;同行对比,你和同行差在哪里。你刚做的两问,是其中第一项检查的简化版。

十三 |     体检报告分三部分:现状,四项检查的实证记录;问题,对照传播质量标准逐项诊断;方向,每个失分的维度往哪补、先做什么后做什么。报告里每一页都是实证:AI答案里的原话、搜索结果的实况、媒体结构的清单、同行位置的对比,结论有据可查。    做一次完整体检,只需要提供企业名和所属行业。检查在公开信息里完成,不需要你的账号,不打扰你的团队。目前这项体检在近真商学官网免费开放,企业可以直接申请。

十四 |              自查的结果,常见三种。    最多的一种是查无此人。

十五 | 问公司名,AI说没有找到相关信息,或者只有语焉不详的两三句;问行业,推荐名单里没有你。先别急着意外——麦肯锡《2026年消费者现状报告》调研了五国近五千名消费者,发现AI引用的信息源里,品牌官网的占比只有1%到2%。官网做得再漂亮,AI的答案里也可能根本没有你。有老板试到这里会很意外:我干了十几年,行业里谁不知道我?——行业里的知道,和AI的知道,走的是两条互不相通的路。

十六 | AI有自己的取材偏好,官网只是其中很小的一路。    另一种常见的,是张冠李戴。AI知道你,但说的是错的:成立时间对不上,主营业务说串了,甚至把同行的产品安在你头上。错的答案比没有答案更麻烦——客户要么拿着错的信息来找你,要么拿着错的信息离开你。

十七 |     再有一种,是说了但说旧了。基本信息对,细节过时:老的产品线还在,新的服务没有;旧的地址挂着,新网点查不到。    最后单独说一种情况。AI提到了你,客户却没有停在那里——2026年3月的一项调研显示,86%的消费者会核实AI推荐的品牌,核实渠道依次是搜索引擎、品牌官网、点评网站。被提到只是评估的起点,经得起核实才算数。自查看到AI说了你之后,顺着客户的核实路径再走一遍,你会看到更完整的自己。    现在就可以试。放下这篇文章,打开你手机里的AI助手,问那两个问句。三分钟之后,你看到的答案,就是你的客户每天看到的你。做老板的都有一个习惯:巡店、看报表、盯库存,每天确认生意的每个面。AI对话框里的那个面,从今天起也值得每天看一眼。    试完之后,大概率会有新的问题冒出来:AI为什么不知道我?说错的地方从哪来?同行是怎么进名单的?这些问题,自查答不了,需要一次完整的检查。    近真商学的企业GEO体检免费开放,只需提供企业名和所属行业,你会拿到一份现状、问题、方向三部分的完整报告。自查这个动作也值得留下来:隔上一个月再问一次,你会亲眼看到变化。你的企业在AI眼里是什么样子——三分钟后你自己先有答案,完整的答案,交给体检。         

        
    

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