路径依赖与农村公共产品供给制度的对策选择

农村公共产品对于农村经济社会发展具有重要作用.长期以来,我国农村公共产品供给制度经历了不同历史时期的变迁过程.其在变迁中的路径依赖导致了农村公共产品供给制度的低效率,形成了农村公共产品供给制度的困境.要破解这种困境,就需要进行制度创新,重构农村公共产品供给制度.     

劳务输出与脱贫致富

长期以来 ,有关方面均把贫困地区脱贫致富寄望于劳务输出。短期看来 ,劳务输出确能在一定程度上缓解贫困压力 ,但长期而言 ,劳务输出并不能从根本上解决贫困地区的脱贫致富问题。这是由劳力输出的限度、制约条件、实际效果及贫困的根本原因决定的。贫困地区脱贫的根本出路在于 :立足并开发贫困地区 ,走政府推进型脱贫致富之路。为此 ,当务之急须认真解决好三个问题 :( 1 )制定并实施开发贫困地区的战略 ;( 2 )国家加大对贫困地区的投入 ;( 3)地方政府真抓实干领导脱贫     

加入WTO背景下江苏流通企业的发展

我国将成为ＷＴＯ成员国,并在未来较短的时间逐步取消对外开放和外商市场准入方面的种种政策与法规限制。这意味着国内流通企业将面临日趋激烈的竞争环境,江苏的流通企业也必须及早做好准备,制定在竞争的发展对策。 根据当前流通业存在的问题,我认为省内流通企业必须完成一些战略性转变。 一、转变依赖政府保护的观念 流通业,特别是商业,属于竞争性行业,属于国有经济“有进有退”战略安排中“退”的部分。换言之,即使是在未加入ＷＴＯ的条件下,在这一领域,国家对国有商业均未给予政策倾斜和投资扶持,全凭国有商业企业自己的素质…     

Risk and diversification of nonprofit revenue portfolios: Applying modern portfolio theory to nonprofit revenue management

This study uses modern portfolio theory (MPT) to estimate the risk of nonprofit revenue portfolios and examines to what degree the revenue concentration measure based on Herfindahl–Hirschman Index is associated with the portfolio risk measure based on MPT. The findings suggest that nonprofits with greater revenue concentration have lower revenue portfolio risk in the whole sample analysis. However, it is plausible that this result is dominated by organizations reliant on commercial income, which comprise over half of the sample. In fact, when examined separately, the relationship varies by an organization's primary funding structure. While higher revenue concentration is positively associated with portfolio risk for organizations relying on donations or those without a consistent primary funding source, it appears to associate with a lower portfolio risk for commercial organizations and those relying on government grants. This study reflects on the concept of diversification derived from portfolio theory and calls attention to a more nuanced approach to nonprofit revenue strategy.     

A comparative study of confidence intervals to assess biosimilarity from analytical data

Assessment of analytical similarity of tier 1 quality attributes is based on a set of hypotheses that tests the mean difference of reference and test products against a margin adjusted for standard deviation of the reference product. Thus, proper assessment of the biosimilarity hypothesis requires statistical tests that account for the uncertainty associated with the estimations of the mean differences and the standard deviation of the reference product. Recently, a linear reformulation of the biosimilarity hypothesis has been proposed, which facilitates development and implementation of statistical tests. These statistical tests account for the uncertainty in the estimation process of all the unknown parameters. In this paper, we survey methods for constructing confidence intervals for testing the linearized reformulation of the biosimilarity hypothesis and also compare the performance of the methods. We discuss test procedures using confidence intervals to make possible comparison among recently developed methods as well as other previously developed methods that have not been applied for demonstrating analytical similarity. A computer simulation study was conducted to compare the performance of the methods based on the ability to maintain the test size and power, as well as computational complexity. We demonstrate the methods using two example applications. At the end, we make recommendations concerning the use of the methods.     

A primal dual active set with continuation algorithm for high-dimensional nonconvex SICA-penalized regression

The smooth integration of counting and absolute deviation (SICA) penalty has been demonstrated theoretically and practically to be effective in nonconvex penalization for variable selection and parameter estimation. However, solving the nonconvex optimization problem associated with SICA penalty in high-dimensional setting remains to be enriched, mainly due to the singularity at the origin and the nonconvexity of the SICA penalty function. In this paper, we develop a fast primal dual active set (PDAS) with continuation algorithm for solving the nonconvex SICA-penalized least squares in high dimensions. Upon introducing the dual variable, the PDAS algorithm iteratively identify and update the active set in the optimization using both the primal and dual information, and then solve a low-dimensional least square problem on the active set. When combined with a continuation strategy and a high-dimensional Bayesian information criterion (BIC) selector on the tuning parameters, the proposed algorithm is very efficient and accurate. Extensive simulation studies and analysis of a high-dimensional microarray gene expression data are presented to illustrate the performance of the proposed method.     

Measuring servitization progress and outcome: the case of ‘advanced services’

The purpose of this paper is to establish a framework for assessing the progress and outcome of a manufacturer’s transformation towards becoming a provider of ‘advanced services’ – a complex bundling of products and services, whereby manufacturers offer capabilities and outcomes instead of products alone. ‘Advanced services’ represent the most complex offering in the current servitization trend amongst manufacturers. However, current performance measures lack the breadth and focus to assess progress or outcomes, and so support research and practice of organisational transformation efforts required. To address this gap the paper investigates how a manufacturer’s efforts to become an ‘advanced services’ provider can be comprehensively measured, and develops a framework for assessing the transformation journey towards becoming an ‘advanced services’ provider. The research method is based on (1) a systematic literature review process to create a comprehensive set of service-related performance measures that are available to assess a manufacturer’s servitization efforts, followed by (2) an engagement with an expert panel to synthesise the identified measures and create a set of ‘advanced services’ performance measures. The proposed framework is presented as a scorecard that can be used in practice to assess the progress and outcome of a manufacturer’s transformation towards becoming a provider of ‘advanced services’.     

Cross Validation of the Gambling Problem Severity Subscale of the Canadian Adolescent Gambling Index (CAGI/GPSS) on a Sample of Ontario High School Students

This paper reports on the cross validation of the Gambling Problem Severity Subscale of the Canadian Adolescent Gambling Index (CAGI/GPSS). The CAGI/GPSS was included in a large school based drug use and health survey conducted in 2015. Data from students in grades 9–12 (ages 13–20 years) derived from the (N = 3369 students). The CAGI/GPSS produced an alpha of 0.789. A principle component analysis revealed two eigenvalues greater than one. An oblique rotation revealed these components to represent consequences and over involvement. The CAGI/GPSS indicated that 1% of the students fell into the “red” category indicating a severe problem and an additional 3.3% scored in the “yellow” category indicating low to moderate problems. The CAGI/GPSS was shown to be significantly correlated with gambling frequency (r = 0.36), largest expenditure (r = 0.37), sex (more likely to be male) (r = ?0.19), lower school marks (r = ?0.07), hazardous drinking, (r = 0.16), problem video game play (r = 0.16), as well as substance abuse. The CAGI/GPSS was cross validated using a shorted version of the short SOGS, r = 0.48. In addition the CAGI/GPSS and short SOGS produced very similar patterns of correlations results. The results support the validity and reliability of the CAGI/GPSS as a measure of gambling problems among adolescents.     

Gambling,Drinking and Quality of Life: Evidence from Macao and Australia

The investigation of the interface between psychological constructs, compulsive consumption of alcohol and pathological gambling is an important avenue for development of future initiatives in social marketing or prevention programs. This cross-cultural study attempts to bridge the gap in literature by providing an evaluation of the predictive ability of psychological variables such as gambling urge, gambling-related erroneous cognitions and comorbid alcohol consumption on pathological gambling behaviour and its impact on overall quality of life indicators. Participants consist of 445 Macao and Australian young adults (Mean age = 23 years). Results indicate that probable pathological gamblers as compared with non-gamblers reported significantly lower quality of life in all domains—physical health, psychological well-being, social relationships and environment. Adults who drank more alcohol and have stronger erroneous cognitions evidenced higher pathological gambling behavior. Our research model fits both cohorts and interestingly, erroneous gambling-related cognitions serve as a full mediator for the predictive relationship between gambling urge and pathological gambling in the Macao sample, but serve as a partial mediator in the Australian sample. Targeting erroneous cognitions in future social marketing or preventive campaigns should demonstrate to be an important strategy in reducing the effects of urge to gamble among at-risk individuals. Further implications for the industry, marketing and governmental strategies are discussed.     

北京人口和产业政策的经济影响分析——利用扩展的投入产出模型

本文分析北京控制人口增长和产业政策引发的经济影响,通过延伸的北京投入产出模型计算最终需求(产出、收入、税收和GDP)乘数和产出驱动(产出、收入、税收和GDP)乘数,测算北京人口控制和产业疏解引发的经济影响和土地开发限制引发的经济影响。分析结果显示,无论是人口控制、产业疏解,还是土地开发限制,对北京的经济影响都是相当显著的,计算的主要经济指标(分行业的产出、收入、税收和GDP)的绝对值和增长率都表明了这个结论。因此,北京在控制人口和疏解产业的同时,需要采取相应的措施来消除控制城市增长的人口和产业政策带来的税收、收入等负面影响。