INFLUENCE OF CONSUMER PERCEPTION OF IMPORTED GOODS ON THE PERFORMANCE OF LOCALLY PRODUCED GOODS
Bibliographic record
Abstract
Globalisation has made it easier for traders to import goods into the country at the expense of local industries. In Kenya the Jua kali industry has been adversely affected by the business of importation which has seen the performance of the industry sharply decline. This study sought to establish the effects of imported products on the performance of locally produced goods by small scale metal work enterprises in the economy. Moreover, the study was guided by two theories: Schumpeter’s theory of economic development and the export base theory. The study targeted small-scale metal enterprises which were estimated to be 160 businesses in Kamukunji Market. Out of this, a sample of 120 respondents was arrived at using the Cochran formula. Data was collected by the use of structured questionnaires which contained closed ended questions. Descriptive analysis including frequencies, percentages and cross tabulations, was used to summarize and organize quantitative data. The collected data was then summarized, coded and analysed quantitatively and presented in tables to draw inference on the research questions. The study arrived into various conclusions; notably the consumer attitude and perception of imported products is overwhelming good as compared to that of local products. It also emerged that local industries lacked elaborate structures to pursue marketing and research and development activities. Moreover, key stake holders such as the government should facilitate the growth of the industry by lowering the cost of doing business and providing financial incentives to encourage the growth of the business. KEY words : Jua Kali, Performance, Consumer
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".