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Record W2549800874 · doi:10.5539/ijef.v8n12p216

Foreign Direct Investment and Retailing in India: Opportunities and Challenges

2016· article· en· W2549800874 on OpenAlexvenueno aff
Desti Kannaiah, A. Vinayagamoorthy

Bibliographic record

VenueInternational Journal of Economics and Finance · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsForeign direct investmentBusinessPurchasing powerMarket economyInternational tradeEconomics

Abstract

fetched live from OpenAlex

India being second most-populous country has immense scope for retail expansion as along with time urbanization and consumerism has also been increasing. Initially India was conservative regarding FDI; it imposed restriction on foreign companies to limit their share in equity capital of their Indian subsidiaries but over the time Government of India gradually liberalized foreign investment in various sectors. Recently in 2011 India permitted 100% FDI in single brand retail and in 2012, 51% FDI permitted in multi brand. Even though organized retail sector in India is at the infant stage, India has today become a budding target for FDI. India today offers the most persuasive investment opportunity for mass merchants and food retailers looking to expand overseas as Indian economy is growing at a rapid pace with consumers having high purchasing power. FDI is a sturdy source for the intensification of retailing and will create enormous opportunities for innovation in retail sector in India but at the same time it is quite likely that a section of the domestic retailing industry will be severely hurt due to the entry of foreign retailers. In this paper researchers have tried to accentuate both the thoughts in detail and concluded the most constructive view on Opportunities and Challenges of FDI in Indian Retailing.

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 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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.069
GPT teacher head0.213
Teacher spread0.144 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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