MétaCan
Menu
Retour à la cohorte
Enregistrement W4392415783 · doi:10.5958/2277-4912.2023.00009.7

Futuristic economic reforms in RERA Act, 2016: ‘Internalizing negative externalities in housing sector for achieving sustainable and balanced growth’

2023· article· en· W4392415783 sur OpenAlexaff
Shubhada Patil, Paras Aneja

Notice bibliographique

RevueINROADS- An International Journal of Jaipur National University · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueUrban and Rural Development Challenges
Établissements canadiensInstitute on Governance
Organismes subventionnairesnon disponible
Mots-clésExternalityEconomicsSustainable growth rateSustainable developmentMicroeconomicsPolitical scienceFinance

Résumé

récupéré en direct d'OpenAlex

Real estate sector also create by-product that is environmental pollution. Research paper examines efficient allocation of scarce resources in realestate sector and their pricing dynamics. It breakthroughs into efficient allocation of TDR and dynamically analyses impact of FSI premiums on environment (environment cost) and affordable housing (social cost). ‘Equilibrium of supply and demand’ ensures efficient allocation of resources. To use Adam Smith’s favourite metaphor, the “invisible hand” of the marketplace leads self-interested buyers and sellers in a market to maximize the total benefit that society derives from that market. This insight is basis of principles of economics. Markets are usually a good way to organize economic activities. ‘Invisible hand’ of market prevents builder firms from emitting too much pollution and efficiently allocates resources. However, so not case always. Markets do many thing well but they do not do everything well. Government can achieve sustainable development through reformative measures that will improve market outcome. Present research paper analyses and contemplate how sometimes real estate sector fails to allocate resources efficiently, how government policies (reformative changes in RERA Act) can potentially improve scarce resources allocation in real estate sector. Research paper presents new accounting technique for FSI allocation, dynamic pricing techniques for TDR, reality sector market reforms through regulatory measures, technological upgradation for achieving sustainable development. The market failure examined in this research paper falls under principle of externality. An externality arises when a person engages in an activity that influences adversity (negative externality) of bystander and yet neither receives any compensation for that effect. In the presence of externalities, society’s interest in market outcome extends beyond the well-being of buyers and sellers who participate in the market; because buyers and sellers neglect the external effect of their outcome, the equilibrium fails to maximize the total benefit to society as a whole. However policy makers can work upon such externalities through corrective reforms of internalizing externality by setting up reformative market. Such market structure helps in internalizing externalities (positive, negative). Current research paper suggests such corrective market dynamic reforms in real estate sector taking into consideration social Costas well as environmental cost. Such reformative measures will ultimately lead housing sector towards balanced and sustainable development. Sustainable development can be achieved based on ‘polluter pays’ principle altering incentives so that people take into account external effects of their actions. How can social planner achieve the optimal outcome in real estate sector? The research paper contemplates that, by adopting inclusive registration, other RERA charges, FSI premiums, TDR market rates with reformative share market of sale and purchase between Seller (government) and buyer (allottee) for internalizing externality for achieving balanced growth. Research paper suggests technological reforms for calculation of such charges and corrective pricing techniques (inclusive of social and environmental cost) while allocating FSI and purchase of TDR in real estate sector. Builder /real estate sector developers would in essence, take the cost of pollution into account when deciding how much housing to supply because appropriate charges would make them pay for corrective external costs. This will also take into consideration different pricing of housing for different economic background consumers (willingness as well as capacity to buy houses) that will help to internalize social cost in Real Estate Sector. Because the market price would reflect the social cost for buyers now builders would have incentive for efficient allocation of resources. The policy is based on one of the ten principles of economics: people respond to incentives. Research paper enlightens in more detail how policymaker can achieve this favourable outcome and can deal with externalities in efficient manner.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,526
Score d'incertitude au seuil0,484

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,002
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,031
Tête enseignante GPT0,296
Écart entre enseignants0,265 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueINROADS- An International Journal of Jaipur National UniversityMême sujetUrban and Rural Development ChallengesTravaux en français237 207