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The Situations and Considerations on the Development of the Service Economy in China

2009· article· en· W2111336458 on OpenAlexvenueno aff
Liang Cao, Qian Ding, Rong Huang

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsService economyChinaService (business)Tertiary sector of the economyEconomyPromotion (chess)Context (archaeology)BusinessPost-industrial economyInformation economyPlanned economyGovernment (linguistics)World economyEconomic systemEconomicsPolitical science

Abstract

fetched live from OpenAlex

The service economy is an essential part of the national economy, thus the acceleration of the development of the service economy has become a hot topic in the field of economic research and a consensus all over the world. Since the adoption of reform and opening policies, China's service economy has entered a new era of rapid development, especially in recent years. Notwithstanding, there are several domestic scholars considering that China’s service economy not only lag behind the developed countries but also many developing countries. Through the comparison of several developed countries and developing countries, this paper analyses the real level of the development of China’s service economy. This paper finds out that China’s service economy is not simply backward and slow, which means that the promotion of service economy should not simply focus on the development of the quantity but the acceleration of the optimization and upgrading of the structure, which is called the improvement of the quality. We should pay more attention to the structural adjustment of the service economy, especially in the context of the global financial crisis which blocks the development of China’s service economy. Place undue emphasis on the high development rate can only cause the unnecessary expenses of resources. Thus, the Chinese government ought to take the adjustment of the inner structure of the service economy as the starting point when establishing policies. Key words: China’s service economy; level of development; considerations of policies Resume: L'economie de services est un element essentiel pour l'economie nationale, donc l'acceleration du developpement de l'economie de services est devenu un sujet a la mode dans le domaine de la recherche economique et un consensus dans le monde entier. Depuis l'adoption de la politique de reforme et d'ouverture, l’economie de service de la Chine est entree dans une nouvelle periode de developpement rapide, surtout dans les dernieres annees. Neanmoins, il existe plusieurs chercheurs considerent que l'economie de services de la Chine n'est pas seulement en arriere par rapport aux pays developpes, mais aussi a de nombreux pays en developpement. Grâce a la comparaison de plusieurs pays developpes et en developpement, ce document analyse le niveau reel du developpement de l'economie de services de la Chine. Cette etude constate que le developpement de l'economie de services de la Chine n'est pas simplement en arriere et lent, ce qui signifie que la promotion de l'economie de services ne devrait pas simplement se concentrer sur le developpement de la quantite, mais aussi sur l'acceleration de l'optimisation et l'amelioration de la structure, c’est-a-dire sur l'amelioration de la qualite. Nous devons accorder plus d'attention a l'ajustement structurel de l'economie de services, en particulier dans le contexte de la crise financiere mondiale, qui bloque le developpement de l'economie de services de la Chine. Trop viser sur un taux eleve de developpement ne peut que causer des gaspillages de ressources. Ainsi, le gouvernement chinois devrait considerer l’ajustement de la structure interne de l'economie de services comme point de depart, lors de l'etablissement de politique. Mots-Cles: economie de service de la Chine; niveau de developpement, conception des politiques

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.827
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.217
Teacher spread0.186 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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