Sustainable development evaluation based on ecological footprint:a case study of Ningxia Hui Autonomous Region
Bibliographic record
Abstract
The quantitative evaluation of sustainable development ability is a prerequisite for implementing the strategy of sustainable development,and it is also a key point to study the sustainable development.The ecological footprint model,a method developed by Canadian scholar Mathis Wackernagel,is used to measure sustainable development ability in this thesis.Based on the calculation of ecological footprint,the paper considers that the developmental ability index is one of the best indexes for evaluation.determined by calculating the land(ecological footprint)which needed by the human society who takes all consumption activities in a specific area,and the land(ecosystem carrying capacity)which can provide for biological and productive materials in the same area,we can compare the land(ecological footprint)to the land(ecosystem carrying capacity),so that it can help us to make a judgment for regional sustainable development.Adopting ecological footprint model,this thesis calculates an ecological footprint according to different land types and different consumption types in Ningxia Hui Autonomous Region from 1991 to 2010.For the first time,it analyzes components of the Region's ecological deficit,modifies the Ulanowicz model,and introduces ecological defici(tand surplus)for each 10 000 Yuan of GDP when using the calculating formula innovatively.Finally,it evaluates the sustainable development ability of the eco-economic system for a long time scale in Ningxia Hui Autonomous Region objectively.The thesis owns something referential value and practical significance such as increasing the diversity of ecological footprint,making the best use of resources,controlling the energy consumption by appropriate policies and promoting the sustainable economic development of Ningxia.The results obtained indicate that the ecological deficit per cap in Ningxia is higher than the deficit per capita of the world(which is 0.4 hm2)and nationwide(0.68 hm2)from 1991 to 2010.During this period the ecological deficit per cap in Ningxia increased five-fold and the stability of the eco-economic system decreased by a significant degree.However,it has shown a tendency to improve in recent years.In the year of 2010,the utilization ratios of resources claim the highest efficiency,and its sustainable development ability of the region contributed toward a continuous rise.In 2010,the sustainable development ability of the eco-economic system was 2.993,which was the highest in twenty years and more than 16 times 20 years ago.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".