Dataset Information

The nonlinear effect of financial and fiscal policies on poverty alleviation in China-An empirical analysis of Chinese 382 impoverished counties with PSTR models.

ABSTRACT: Using panel smooth transition regression (PSTR) models, this paper studies the effects of financial and fiscal policies on poverty reduction across 382 poverty-stricken counties in China. The findings are that both fiscal and financial policies have a positive influence on poverty reduction, and their relationships are nonlinear. For either a high or low degree of poverty, fiscal policies are effective for poverty reduction, while financial policies have a greater impact on poverty reduction when there is a medium degree of poverty. Therefore, in deciding which policies should be prioritized for reducing poverty, the level of poverty should be taken into account. To be more specific, when a portfolio of poverty-reduction policies is implemented, fiscal policies should be prioritized at the beginning, when the incidence of poverty is high. Then, financial support should come to the forefront as the poverty level drops, and fiscal support should be stepped up when the poverty level continues to drop.

SUBMITTER: Kuang X

PROVIDER: S-EPMC6830824 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

The nonlinear effect of financial and fiscal policies on poverty alleviation in China-An empirical analysis of Chinese 382 impoverished counties with PSTR models.

Kuang Xicong X Liu Huihuang H Guo Guoqiang G Cheng Haixing H

PloS one 20191105 11

Using panel smooth transition regression (PSTR) models, this paper studies the effects of financial and fiscal policies on poverty reduction across 382 poverty-stricken counties in China. The findings are that both fiscal and financial policies have a positive influence on poverty reduction, and their relationships are nonlinear. For either a high or low degree of poverty, fiscal policies are effective for poverty reduction, while financial policies have a greater impact on poverty reduction whe ...[more]

PMID: 31689319

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Project description:Biobanks are repositories that collect, store and distribute large quantities of biological samples and associated data (collectively called biobank `material'). Although biobanks have different modes of operation, all face a variety of similar challenges. Some of these challenges, such as donor consent and privacy, have been rigorously debated, but comparatively less attention has been paid to biobanks' intellectual property (IP) practices. IP rights (particularly patents) are integral to the translation of research into clinically relevant outcomes and, therefore, are key features in the business models of many biobanks. As a foundation for such research, commentators have identified five IP clauses of interest: (i) non-obstruction clauses; (ii) march-in clauses; (iii) grant-back clauses; (iv) return-of-results clauses and (v) reach-through clauses (also commonly called `reach-through rights'). In the limited literature that discusses the five clauses, commentators have largely debated their advantages and disadvantages in the abstract. The IP terms that biobanks actually use have not been empirically examined, apart from some small case studies. In particular, no industry-wide evidence exists on three points of biobanks' IP practice: (i) if and how biobanks implement these five types of IP clauses, (ii) whether any norms or standards have emerged, and (iii) whether the norms and standards align with commentators' recommendations for using the five IP clauses. To address these three gaps, the authors conducted a systematic, global survey of the IP clauses used by large, human biobanks. The results indicate that biobanks draft bespoke policies to meet their own needs, and probably do so without knowledge of the gamut of IP terms available. This study also revealed that, in general, biobanks are using IP terms differently from the advice of the commentators. On reviewing the differences, we encourage the use of march-in and grant-back clauses, discourage biobanks from using redundant non-obstruction clauses, and call for more research on return-of-results clauses. We also encourage the use of reach-through clauses to claim royalties (not IP), but only in limited circumstances; for example, where user access fees do not cover a biobanks' operational costs.

Dataset Information

The nonlinear effect of financial and fiscal policies on poverty alleviation in China-An empirical analysis of Chinese 382 impoverished counties with PSTR models.

Publications

The nonlinear effect of financial and fiscal policies on poverty alleviation in China-An empirical analysis of Chinese 382 impoverished counties with PSTR models.

Similar Datasets

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