无锡高新区“人才特区”建设工作的调查与分析——以“530”企业为例

通过对无锡高新区“530”企业的引进数量、注册数量及分布、项目产业分布、运行、生产销售、领军人才和员工、领军人才住房优惠政策落实等情况的调研发现,“530”企业虽然在推进无锡人才特区建设方面取得了一定成绩,但仍存在诸多问题。应从以下方面入手加强无锡高新区的人才特区建设：不断加大招才引智的工作力度;优化人才引进环境,提升人才引进的软实力;加大政策扶持和服务力度,采取各种措施积极推进产业化进程。     

SME Export Performance in Indonesia After the Crisis

Firms in export-oriented sectors with more exporters and more foreign investment, or firms with more access/use of credit, tend to export a higher share of their output, whether they are small or large. The latter points out that the benefits of size-neutral policies that improve the overall business and foreign investment climate and secure access to formal credit for all enterprises produce benefits for the entire economy. Small firms with higher use of machinery and higher use of domestic inputs displayed a higher likelihood to increase the share of their output exported. SMEs show rising productivity with access and use of appropriate production inputs. Decades of protective size-specific policies, such as the reservation scheme for SMEs still in place in Indonesia’s manufacturing may have distorted, more than supported, adoption of appropriate technologies among SMEs. These policies may need to be revisited and refocused on more size-neutral policies such as improved access to collateral or reduced cost of business registration and licensing.     

Linear processing in a semantic network: An alternative view of consumer product evaluation

While the linear model has been very successful in explaining the product evaluation process of consumers, it is quite uncertain what the model actually means in terms of underlying cognitive processes. An alternative model is developed, based on semantic network models developed in the psychology of memory, and used to explain the product evaluation process. It is shown that in certain cases this model leads to an information integration process structurally similar to the lineat model.     

无锡“530”计划对中小城市转变发展方式的启示

无锡市通过积极实施"530"计划,大力引进创新创业留学回国人才,实现了经济社会持续健康发展。无锡开创的"人才引领产业"的发展模式,对新时期广大的中小城市探索转变发展方式,实现科学发展提供了重要的启示。     

Searching for an Environmental Kuznets Curve in China's air pollution

Intuitively, the concept of an Environmental Kuznets Curve (EKC) is relatively easy to understand: pollution will initially increase with economic development but then decrease again as incomes attain a certain level. The overall concept of pollution, however, actually consists of various components which may behave differently and are not easily combined into a single measure. As a result, the measurement or tracking of an EKC becomes more difficult as one tries to develop a tractable measure of pollution for modeling or policy purposes. For example, in China levels of sulfur dioxide and particulate pollution show some signs of diminishing while nitrogen dioxide levels have increased as China's auto fleet has grown. Consequently, different studies estimating an EKC often generate different results depending upon which pollutant is used and how it is measured. This paper generates composite measures of Chinese air pollution using Nemerow methodology as well as a new epidemiological index based upon the health effects of the pollutants. The paper then tests these index measures to determine whether they display evidence of an EKC and also to examine how they behave in comparison to the individual pollutants.     

The impact of third-country effects and economic integration on China's outward FDI

The study employs a spatial econometric model to explore the impact of third-country effects and economic integration on China's outward FDI (OFDI). The results show that the pattern of China's OFDI tends toward a complex FDI without third-country effects. The degree of economic integration and host country's political risk both have a negative influence on China's OFDI. Furthermore, greater cultural proximity between China and the host country, as well as greater per capita income (market size), both have significant benefits to China's OFDI. The host country's market opportunity has a significant negative effect on China's OFDI.     

Approximately normal tests for equal predictive accuracy in nested models

Forecast evaluation often compares a parsimonious null model to a larger model that nests the null model. Under the null that the parsimonious model generates the data, the larger model introduces noise into its forecasts by estimating parameters whose population values are zero. We observe that the mean squared prediction error (MSPE) from the parsimonious model is therefore expected to be smaller than that of the larger model. We describe how to adjust MSPEs to account for this noise. We propose applying standard methods [West, K.D., 1996. Asymptotic inference about predictive ability. Econometrica 64, 1067–1084] to test whether the adjusted mean squared error difference is zero. We refer to nonstandard limiting distributions derived in Clark and McCracken [2001. Tests of equal forecast accuracy and encompassing for nested models. Journal of Econometrics 105, 85–110; 2005a. Evaluating direct multistep forecasts. Econometric Reviews 24, 369–404] to argue that use of standard normal critical values will yield actual sizes close to, but a little less than, nominal size. Simulation evidence supports our recommended procedure.