Pursuing sustainable industrial development through the ecoindustrial parks
Bibliographic record
Abstract
As one branch of industrial ecology, the ecoindustrial park (EIP) concept is being accepted and implemented in many parts of the world. In order to pursue a sustainable industrial development, China's government is forging this concept into a new strategy of industrial development and regional practices. This article aims to depict a picture of current China's experiences on EIP. It first presents two stages of EIP development at national level. Then more details at individual level are provided by three cases studies, that is, Dafeng, Lubei, and Nanhai, in which three points are addressed: (1) the industrial and environmental backgrounds of EIP projects; (2) specific resource sharing; and (3) benefits and challenges in these projects. The case studies show that the government acts as a key role player, facilitating multiple functions in the development of EIP projects. The case studies also suggest that many factors including holistic, economic, social, and technical aspects need to be taken into account to develop a successful EIP project.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".