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Record W2183148875 · doi:10.1177/0256090920060401

<i>Regional Imbalance under Federal Structure: A Comparison of Canada and India</i>

2006· article· en· W2183148875 on OpenAlexaboutno aff
Ravindra H. Dholakia

Bibliographic record

VenueVikalpa The Journal for Decision Makers · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)RevenuePopulationEconomicsDemocracyAutonomyDevelopment economicsEconomic growthPolitical scienceSociologyFinance

Abstract

fetched live from OpenAlex

The problem of regional disparity in economic development in geographically large democratic countries gets inseparably linked with macro public policies and the economic philosophies behind them. Two such countries, India and Canada, are considered in this paper. Although the two countries share several common features, they differ considerably in the size of the population, nature of the federation, constitutional provisions defining property rights on minerals and revenue sharing arrangements between the centre and the states, and the economic philosophy behind the macro policies of the governments. This paper addresses the issue of regional imbalance under federal structure in a comparative perspective. The following variables are used to analyse the regional problem: worker rate capital productivity capital intensity industrial structure. The paper argues that free and barrier-less mobility of population and goods across the states in Canada has resulted in the regional problem getting diluted and less intense. In India, on the other hand, the economic philosophy behind macro policies has throughout been of direct intervention with emphasis on ensuring equity across regions. As a result, the problem of fiscal transfers from the centre to the states has become more complicated and less manageable in India than in Canada. The degree of autonomy and economic independence of provinces is far more in Canada than the states in India. Studies of regional disparity in the levels and rates of economic development in the two countries revealed that: capital intensity or capital-labour ratio was the major determinant of the regional disparity in the level of economic development technology or capital productivity was the main factor behind the disparity in regional growth rates. The government policies have to consider these findings while investing or encouraging investments in the lagging regions. The other revelations of the study are as follows: In India, the federal-fiscal transfers are used as a mechanism to address the regional problem through direct governmental intervention. In Canada, most tax-bases are directly shared by the centre and provinces with the rates differing. In India, the tax-bases are allocated to the centre and states by the constitution. The horizontal and vertical equity concepts are more relevant for Canada where both the layers of governments run in surplus and are not compelled to borrow in order to meet expenditures. In India, on the other hand, a majority of the states depend on the central government for borrowing due to their perennial deficits. In Canada, the provinces and the centre directly borrow from the market as per their credibility which is not the case in India where most states lack credibility in the market. Confusion regarding the notion of horizontal balance and regional equity leads the Indian political system to focus on the direct governmental intervention rather than market orientation. The Canadian experience suggests an urgent need to change the attitude, mindset, and philosophy behind the macro policies to achieve better and faster results on regional disparity reduction.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.026
GPT teacher head0.244
Teacher spread0.219 · 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
Published2006
Admission routes1
Has abstractyes

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