PRODUCTIVITY AND EFFICIENCY OF MICRO ENTERPRISES IN BANGLADESH: RELATIVE IMPORTANCE OF THE CONSTRAINTS
Bibliographic record
Abstract
The study attempts to analyze the effects of primary constraints on the productivity and efficiency of the microenterprises in Bangladesh to identify the relative importance of each constraint. An expanded form of stochastic production frontier model has been developed to address both productivity and efficiency issues simultaneously. Household Income and Expenditure Survey (2005) data, collected by Bangladesh Bureau of Statistics are used in the estimation. The results clearly reveal that of the four primary constraints faced by microenterprises in Bangladesh, credit and utility have the highest detrimental effects on both productivity and efficiency. Between credit and utility, the adverse effect of utility constraint is found to be more than that of credit suggesting that policy makers need to address the utility constraint first to improve the productivity and efficiency of the microenterprises in Bangladesh. The output elasticity is estimated to be the highest for capital, which indicates that there is under-investment in microenterprises. Firm's specific efficiency score vary significantly from 0.34 to 0.94 with a mean of 0.69. The study demonstrates clear policy suggestions about what to be done to improve productivity and efficiency of the microenterprises in Bangladesh.
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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".