How green is the valley? Foreign direct investment in two Norwegian industrial towns
Bibliographic record
Abstract
Since the early 1900s, foreign direct investments (FDIs) have greatly affected Norwegian society, especially peripheral communities. This article analyses how transnational corporations (TNCs) use territory down to the local level, and how this complex relationship between firms and spaces is shaped by attributes related to the TNC and the characteristics of the local economy. An extensive literature discusses different types of effects and spillovers, such as vertical supply linkages and spin‐offs, but theoretical explanations of outcomes are more difficult. The literature links positive as well as negative outcomes to local conditions and to the investment motives of the entity making the FDI, but says little about how these vary with types of business, communities and national economies, and how these interactions generate different outcomes. We conclude that FDIs have different abilities to transform an area. We argue that FDI can trigger path‐dependent dependency when it is dominated by economic capital and path‐dependent development when it consists of a balance of economic capital, social networks and knowledge. This variation in the effects of FDI is illustrated by an empirical analysis of two industrial towns in Western Norway, one with natural resources and the other with intangible technology resources.
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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 | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".