Bibliographic record
Abstract
The twenty-second edition of the CSIL research World trade of lighting fixtures is the result of official figures on international trade; analysis of CSIL databases for lighting fixtures in Europe and worldwide; official documents concerning macroeconomic trends and sector performances for the last two years. The Report provides an overview of the world trade of lighting fixtures, with statistical data (production, consumption, imports, exports) at worldwide level and data on the lighting fixtures industry in 66 countries selected according to their contribution to international trade of lighting fixtures. Countries considered: Algeria, Argentina, Australia, Austria, Bahrain, Belarus, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Greece, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Kuwait, Lebanon, Lithuania, Malaysia, Mexico, Morocco, Netherlands, New Zealand, Norway, Oman, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovakia, Slovenia, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Tunisia, Turkey, Ukraine, United Arab Emirates, United Kingdom, United States, Venezuela, Vietnam. Data are provided both for the lighting fixtures sector as a whole and for the two core segments: Residential lighting and Technical lighting. The report identifies the opportunities on the global lighting fixtures market and is a helpful tool for lighting fixtures exporters as it contains a rich collection of key country data, allowing comparisons among specific interest areas. The world production, consumption, imports and exports of lighting fixtures are broken down by geographical area (European Union 25 + Norway and Switzerland, Central-East Europe outside the EU & Russia, Asia and Pacific, Middle East and Africa, North and South America) and by High Income countries and Middle and Low Income countries. International trade statistics (imports and exports) 2011-2016 are given by country highlighting the major exporting and importing countries, and providing main destination countries of exports and main origin countries of imports for each of the 66 countries considered. Imports and exports data 2011-2016 are also given for lamps and trade balance data, covering the years 2011-2016, are included. Data are provided both in USD and EUR. Data are also available in a country format: production, consumption and trade figures for the Total, Residential and Technical lighting. Historical series (2011-2016) on lighting fixtures exports and imports, the origins of imports and destinations of exports, by country and by geographical area. Exports and imports breakdown by lighting fixtures and components. International trade data of lamps, 2011-2016. Economic indicators (population, area, GNP, household consumption expenditure) and real growth of GDP up to 2021. Country rankings to place all statistics in a broad worldwide context and allowing comparisons among specific interest areas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".