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Record W3005182774 · doi:10.3126/qjmss.v1i2.27443

Industry Willingness to Pay for Adequate Electricity Supply: A Discourse on Sustainable Industrial Development

2019· article· en· W3005182774 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQuest Journal of Management and Social Sciences · 2019
Typearticle
Languageen
FieldEnergy
TopicEnergy Efficiency and Management
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsElectricityEnvironmental economicsProductivityWillingness to payMains electricityBusinessScarcityProsperityContext (archaeology)Secondary sector of the economyWork (physics)Energy managementEconomicsEconomic growthEnergy (signal processing)EngineeringEconomyMicroeconomics

Abstract

fetched live from OpenAlex

Background: Hopefully, if rest of things work as expected, the adequate supply of electricity, as one of the major industrial energy inputs, plays vital role in determining the industrial production, at large. In this paper, the present researchers assumed that the present state of scarcity of electricity may reveal their higher level of willingness to pay for higher energy efficient ratio as a pay-off of their improved industrial productivity. It is a proven fact that as one of the dominant indicators of national economic development and prosperity, effective electricity management procedures for industry increases significantly the productivity and operational efficiency.
 Objectives: The present paper attempts to explore the willingness of industrialists to pay more for adequate electricity supply for the industrial purpose in the present context of Nepal.
 Methods: Extensive desk review was carried out with a directed intension to develop insights on effective management of energy supply-related activities in industrial sector by analyzing the advances and trends as well as synergies in different intervention areas.
 Findings: A large number of academic and professional research works are carried out by different researchers on electricity management, with focus on identification of energy management models, corresponding to the industrial sector that shows individual attributes, social contexts, as well as participation and knowledge, which can have cumulative effect on WTP.WTP for adequate electricity is one of the key measures for sustainable economic growth for reliable and sensible management of forecasted energy demand.
 Conclusions: In spite of plethora of literature on electricity management and WTP, the solutions presented by different researchers are limited in scope. Still many researchers are working on tool contributions, but most of them are only providing solutions for specific regions and communities. There is a need to develop a generic electricity management system with tracing the industrialists’ willingness to pay for adequate electricity supply in a customized manner as a generic solution. The present researcher is hopeful that this work accomplishes this need.
 Implications: Required strict policy regulations at governing level and effective programming at implementation at industry level.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.294
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it