Notice bibliographique
Résumé
In the nineties, India's budgeting, fiscal deficits, and balance of payments problems kick started the government's urge to unlock the huge investments chained in the state-owned enterprises (SOEs). The blueprint was the successful global model of privatization/divestment which was initiated by Margaret Thatcher in the eighties in the UK and implemented by other countries including Unified Germany, former USSR, the erstwhile socialist countries, Western Europe, Canada, Japan, and even China. The developed nations attained a high level of success followed by the developing and the least developed countries. While developed and OECD countries opted for Initial Public Offerings (IPOs), Russia adopted a system of vouchers for buying shares of public sector companies at auctions, and smaller states in the former Soviet Union and East European countries opted for trade and negotiated sales. Developing countries like Brazil and Chile made principal divestments of significantly large government stakes with no reservations to pass on control to foreign investors. Greece and Korea opted for convertible bonds. Considering that the debate on the need for disinvestments is very old, the question is: is there anything new and is there a game plan? Also, why is the media hesitant in presenting analysis of the decision-makers' mindset? It leads to the inference that the implementers have perhaps little commitment to disinvestments which is in contrast to what Hungary and China have achieved by their professional approach. Fortunately, the efforts to pursue reforms have not openly been reversed or given up by any government of the day. The Four Ps of disinvestment – Policy, Promise, Prognosis, and Performance – look grim. In the recent past, we have been witnessing a lot of debate on the disinvestments scenario suggesting dynamic movement. In reality, the sale of equity of only 49 companies has so far been accomplished (a few only privatized). In comparison, Hungary identified 1,288 SOEs, transformed them into companies for privatization, and in 2002, only 79 companies were left for privatization. Against a target of Rs 100 billion, the financial year 2000–2001 closed with a collection of Rs 18.70 billion. Against a target of Rs 120 billion, the financial year 2001–2002 closed with a collection of Rs 56 billion inclusive of special dividend of VSNL at Rs 18.87 billion and Rs 11.54 billion of IBP bought by another public sector undertaking (PSU). Against a target of Rs 120 billion, the financial year 2002-2003 closed with a collection of Rs 33 billion. The target for financial year 2003-04 is Rs 132 billion (US$ 2.87 billion). To set things on the recovery path, introspection on what aberrations have entered the system is necessary. In the words of the President to the Joint Session of Parliament in February 2002, “... The prolonged fiscal haemorrhage from the majority of these enterprises cannot be sustained any longer...” How do we ensure that the disinvestment process is on track? The following five-point agenda would be useful for policy-makers: Trust the homegrown expert for implementation. Place administrative control in the hands of the Finance Minister. Hand over companies that are a burden on the government to the employees. Do not involve a PSU/SOE in the bidding process. Manage revivals professionally.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».