New perspectives and issues in industrial policy for sustainable development: from developmental and entrepreneurial to environmental state
Bibliographic record
Abstract
The increasingly acute consequences of the climate crisis, the COVID-19 pandemic, and the energy crisis have put industrial policy back. The papers in this issue examine how different countries implement industrial policy for sustainable development from a variety of perspectives. A successful transition to sustainable development seems to require not only the mix of carrots and sticks but also a right mix of creation versus destruction, as in the case of the creation of renewable businesses and the destruction of fossil-fuel businesses. Furthermore, because institutional diversity and the risk of capture can result in very distinct economic, social, and environmental effects, consideration of heterogeneity at the country and sector levels and coordination of vested interests are essential ingredients for sustainable industrial policies, as shown by the case of industrial policy in France and the two industry cases in India. By contrast, the Amazon Fund case is indicative of the three success elements: multi-stakeholder governance, pay-for-performance funding, and non-reimbursable project financing. These three elements can be summarized as local ownership and accountable governance, provided with both carrots and sticks. The problematic case of urban development driven by the oil industry in Ghana can be criticized in terms of the lack of local ownership of the oil industry, which has led to all rents being monopolized by the absentee class. By comparison, the mixed success of cases of industrial symbiosis in Uganda is attributed to the lack of effective carrots. In sum, industrial policy for sustainable development requires handling well all three types of failure, namely, market, system, and capability failures, because it necessitates building capabilities of involved actors and coordinating actions of agents, in addition to providing optimal incentives to reflect externalities of global public goods. Overall, the shifting focus of industrial policy is consistent with the shift of the role of the state, from developmental to entrepreneurial, and finally to environmental state.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".