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Theoretical and Practical Research on Talent Policy Empowering the Development of New Quality Productive Forces——A Case Study of H Province

This paper constructs a theoretical model linking talent policy, talent, and technological innovation to new quality productive forces, and through a case study of H Province's 120 policy texts, identifies key implementation gaps while proposing strategic recommendations to optimize talent structures and policy coordination for sustainable development.

Original authors: Haiqi Bai, Xinxu Li, Li Yan, Xiaohong Dong

Published 2026-07-27
📖 6 min read🧠 Deep dive

Original authors: Haiqi Bai, Xinxu Li, Li Yan, Xiaohong Dong

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine the economy as a giant, bustling kitchen. For years, this kitchen has been cooking up meals using old recipes and standard ingredients. But now, the world is hungry for something entirely new: "New Quality Productive Forces." Think of this not as just a bigger pot, but as a whole new way of cooking—using smart ovens, molecular gastronomy, and ingredients that didn't exist yesterday. To pull this off, you need two things: the fancy new gadgets (technological innovation) and, most importantly, the chefs who know how to use them (talent). You can't just buy a robot chef and hope it works; you need a human who understands the code, the heat, and the flavor. This is where "Talent Policy" comes in. It's the head chef's rulebook: how do we hire the best cooks, how do we train them, how do we keep them from running off to the next restaurant, and how do we make sure they actually use those fancy gadgets to make delicious food? This paper asks a big question: Is the rulebook we have right now actually helping us cook up this new, high-tech feast, or are we just burning the toast?

The authors of this study, a team from Hebei GEO University, decided to test this theory by looking at a specific place they call "H Province" (which is a stand-in for Hebei Province in China). They built a theoretical model they call the "Talent Policy-Talent-Technological Innovation-New Quality Productive Forces" interactive model. In plain English, they are saying that these four things are like a four-legged stool; if one leg is wobbly, the whole thing falls over. They wanted to see how well H Province's "rulebook" (talent policy) was actually helping the "chefs" (talent) use the "gadgets" (technology) to create the "new feast" (new quality productive forces).

To find out, the researchers didn't just guess; they dug into the archives. They collected and analyzed 120 different official documents, like notices, plans, and regulations, issued by H Province since 2016. They used a computer program to count how often certain words appeared, treating each mention as a "reference point." They looked at three main things: what kinds of chefs were being talked about, what stages of cooking were being supported, and what tools the government was using to manage the kitchen.

Here is what they found, and it's a bit of a mixed bag. First, the "chefs" in H Province are a bit unbalanced. The policies are heavily focused on "Professional Technical Talent" (33%) and "Highly Skilled Talent" (25%), which are like the line cooks and sous-chefs who keep the kitchen running. However, there is a shortage of "Research Talent" (21%), "Innovative and Entrepreneurial Talent" (11%), and "Management Talent" (10%). The authors suggest this is a problem because you need the "researchers" to invent the new recipes and the "entrepreneurs" to sell the new dishes, but the rulebook isn't hiring enough of them.

Second, the "cooking stages" are getting uneven attention. The government is really good at supporting the "Achievement Transformation" stage (53% of the focus), which is like the moment you plate the food and serve it to the customer. But they are neglecting the early stages. "Basic Research" only gets 16% of the attention, and "Applied Research" gets a tiny 6%. It's as if the kitchen is obsessed with plating the food but hasn't invested enough in figuring out how to cook it in the first place. The authors point out that without strong support for the early research, the pipeline of new ideas dries up.

Third, the "tools" the government is using are out of balance. They are using a lot of "Supply-Side" tools (52%), which means they are mostly trying to build the kitchen and train the staff from the inside. They are using very few "Demand-Side" tools (15%), which are like asking customers what they want to eat and then ordering the ingredients to match. The study suggests that by not using enough demand-side tools, the province isn't effectively pulling in top-tier global talent or creating a strong market for new technologies. They are also relying too much on "Talent Cultivation" (43% of policy goals) and not enough on "Talent Attraction" (only 10%). It's like trying to bake a cake by only growing your own wheat, when you could also just buy the best flour from a global bakery to get a better result faster.

The researchers also noticed that the "kitchen" isn't the same size everywhere. The big cities like Xiong'an and Shijiazhuang have all the fancy equipment and the best chefs, while other areas are left with old stoves and very few cooks. This uneven distribution means the whole province isn't cooking at the same high level.

So, what does the paper suggest? It doesn't say the current system is a total failure, but it does suggest it needs a serious tune-up. The authors propose four main fixes:

  1. Fix the Chef Roster: Stop just training local cooks and start aggressively hunting for world-class "Research" and "Entrepreneurial" talent from around the globe.
  2. Balance the Tools: Use more "Demand-Side" tools. Instead of just building labs, the government should use its own purchasing power to buy new technologies, effectively telling the market, "We want this, so go make it."
  3. Fund the Early Stages: Pour more money into "Basic Research" and "Applied Research" so that the pipeline of new ideas doesn't run dry before it even gets to the plating stage.
  4. Level the Playing Field: Make sure the smaller towns get a share of the resources so that the whole province can cook up new quality productive forces together, not just the big cities.

The authors are careful to note that their findings are based on analyzing the rules and plans (the text), not on measuring the actual economic results like how much money was made or how many new patents were filed. They suggest that their model explains how the system should work, but they admit they haven't proven exactly how much the current policies have changed the outcome yet. They are essentially saying, "Here is the recipe we think works, and here is where H Province's current recipe is missing ingredients." They hope that by fixing these gaps, the province can successfully cook up the high-tech, high-quality future it is aiming for.

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