Exploring the effect of environmental orientation on financial decisions of businesses at the bottom of the pyramid: Evidence from the microlending context
Bibliographic record
Abstract
Abstract Existing research has accumulated substantial evidence on the effect that an environmental orientation has on businesses' economic performance. Yet this research does not cover small businesses from bottom‐of‐the‐pyramid (BOP) markets. In fact, despite increasing interest in research on BOP markets, the effect of environmental orientation on the financial decision‐making of small businesses from BOP markets has gone largely unexplored. Using a large multicountry data set from a microlending platform, we investigate how the environmental orientation of BOP businesses impacts their financial decisions related to microlending, which ultimately shapes their economic performance. The results indicate that an environmental orientation necessitates BOP businesses to request a higher level of financial capital and ask for longer time to pay it back. Surprisingly, environmental orientation increases the odds of BOP businesses paying back the borrowed capital. These results show that environmental orientation gives rise to both challenges and opportunities for sustainable development in BOP markets.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".