Summary of Key Points
This article highlights the issue of superficial efforts by local governments in the central and western regions when promoting science and technology (ST) initiatives, such as inflated data, exaggerated project presentations, and empty industrial parks. It argues that these phenomena are not merely due to poor administrative practices but result from a combination of underlying constraints, including an inadequate ST ecosystem, financial pressures on local institutions, and conflicts between higher-level policies and evaluation criteria. The article concludes with suggestions for addressing these issues, such as recognizing regional differences, optimizing evaluation mechanisms, and allocating resources more effectively.
Detailed Analysis
1. Lack of foundational conditions for ST: Talent and funding
To succeed in ST, two essential elements are required: a sufficient supply of highly educated professionals (such as engineers and researchers) and adequate financial support (salaries, research funds, and living facilities). However, less developed areas in the central and western regions lack both:
- Talent retention: There are few local universities, and even when outstanding students are trained, they often move to more prosperous eastern regions for better opportunities (for example, Lanzhou University has experienced significant talent loss). With declining populations, these areas face a severe shortage of skilled workers, making it difficult to develop innovative initiatives.
- Funding constraints: ST is a capital-intensive field with long cycles and high risks. However, the central and western regions have limited fiscal resources and thin industrial profits, making it hard to offer competitive salaries or invest in research facilities. Without sufficient funding, even if there is talent, it remains unavailable for innovation.
In short, the ST ecosystem in these areas is too weak to support meaningful projects from the outset.
2. The dilemma of local ST departments
ST departments at the grassroots level face a difficult position:
- If they are honest about their lack of resources: They may fail to meet annual evaluation targets, leading to potential mergers or closures (after all, what use is there for departments that cannot deliver results?).
- If they exaggerate their achievements: By piecing together limited resources (such as small workshops and nominal research outcomes) into pseudo-projects and manipulating data, they can at least meet the evaluation requirements and maintain their existence.
Local governments are aware that these practices are superficial, but they have no choice but to tolerate them. If they strictly adhere to the truth, their departments may disappear entirely, leaving them with even greater blame for not prioritizing innovation.
3. Higher-level policies
While higher-level authorities understand the disparities in regional ST capabilities (some areas are more capable of innovation than others), they cannot afford to be discriminatory. Policies must promote innovation across all regions to align with broader development goals, while also avoiding missing out on potential breakthroughs in less developed areas.
As a result, policies often allow for some flexibility, but evaluations are still necessary. However, this can lead to overexaggeration by local governments to meet these requirements, which can backfire when exposed by the media.
4. Inherent pressures
The combined factors create a challenging situation for local ST departments:
- A lack of talent and funding prevents the development of real projects.
- The pressure to achieve tangible results forces them to exaggerate their achievements.
- The need to maintain departmental existence means they cannot afford to fail.
- The overall policy focus on innovation means they cannot simply stop making efforts.
In such circumstances, practices like data manipulation and project packaging become inevitable.
5. Solutions to the problem
The article proposes three practical solutions:
- Differentiated evaluations: Instead of using a one-size-fits-all approach, evaluations should take into account regional differences. For example, central and western regions could be assessed based on indicators such as talent retention rates and industrial infrastructure development, rather than strict metrics like patent counts or ST output.
- Practical organization of institutions: ST functions should not be forcibly established if the local context does not support them. Instead, these responsibilities can be integrated with other departments to avoid creating ineffective entities.
- Targeted resource allocation: Resources should be directed towards practical and meaningful projects, such as supporting local inventors or upgrading traditional industries, rather than pursuing costly and unfeasible initiatives like large-scale AI parks.
Conclusion
The superficial issues in ST efforts in the central and western regions reflect a clash between ideal policies and real-world constraints. To address these problems, we need to shift our focus from blaming local governments to adopting more tailored approaches that recognize regional differences and allow for realistic innovation efforts at all levels.