我国地质资料管理发展趋势研究

我国地质资料管理经历了档案化、商品化和服务化管理三个时期。在我国地质工作发展新形势下,地质资料馆藏机构建设逐步加强,监管与服务日趋完善,管理工作制度趋于丰富。地质资料管理对策建议：⑴明确职责,完善地质资料汇交体制;⑵建立诚信体系,监管地质勘查工作质量;⑶加快地质资料信息化建设,建立全覆盖信息共享平台;⑷加快开发地质资料产品,提高资源利用效率。     

Identifying Discretionary Fiscal Policy Reactions with Real‐Time Data

We propose a method of identifying discretionary fiscal policy reactions using real‐time data. Automatic stabilizers should depend on true GDP, while discretionary fiscal policy is contingent on the information that policy makers have in real time. We can compute a real‐time measurement error by comparing the first release of GDP data with later revisions. Discretionary fiscal policy is influenced by this measurement error, whereas automatic fiscal policy is not. We use this identification approach to test the central identifying assumption of Blanchard and Perotti’s (2002) seminal structural vector autoregression (VAR). According to this assumption, fiscal policy makers do not react to GDP developments contemporaneously in a discretionary fashion. We find that government expenditure is adjusted upward if GDP growth in real time is lower than true GDP. This suggests that fiscal policy makers use short‐term funds to buy goods and services in response to their perception of GDP dynamics.     

Simple formulas for standard errors that cluster by both firm and time

When estimating finance panel regressions, it is common practice to adjust standard errors for correlation either across firms or across time. These procedures are valid only if the residuals are correlated either across time or across firms, but not across both. This paper shows that it is very easy to calculate standard errors that are robust to simultaneous correlation along two dimensions, such as firms and time. The covariance estimator is equal to the estimator that clusters by firm, plus the estimator that clusters by time, minus the usual heteroskedasticity-robust ordinary least squares (OLS) covariance matrix. Any statistical package with a clustering command can be used to easily calculate these standard errors.     

BUILDING AND EVOLVING DATA WAREHOUSING AND BUSINESS INTELLIGENCE ARTEFACTS: THE CASE OF SYSCO

This paper investigates use of data warehouse and business intelligence capabilities to integrate with customers in the supply chain and improve insights into customer sales. By making internal data warehouse sales information available to customers, additional value to those customers is created, eliminating asymmetries of information in the supply chain. In addition, the evolution of data warehousing into business intelligence is investigated, expanding sales information to include marketing associate performance analysis generated for internal use. Further, a methodology that was used for building a business intelligence system is also examined. Finally, what appears to be a business‐intelligence‐driven focus on enterprise resource planning systems is analyzed. These issues are illustrated using real‐world data warehousing and business intelligence artefacts developed at SYSCO. Copyright © 2012 John Wiley & Sons, Ltd.     

Foreign direct investment in Mexico Determinants and its effect on income inequality

By conducting panel data analysis across 32 federal entities in Mexico over the period 1994-2006, this paper studies the determinants of foreign direct investment (FDI) and its effect on income inequality within and between regions. We observe that the level of development and the size of the market have a direct relationship with FDI and therefore, they tend to increase the inequality gap between regions, but there is no evidence suggesting that it creates inequality within them.     

人力资本与全要素能源效率——基于中国省际数据的经验分析

本文采用1995—2007年中国29个省份的投入产出数据,在考虑各省（直辖市、自治区）劳动力质量差异的基础上,分析比较了中国各省和三大区域的全要素能源效率。结果表明,中国区域全要素能源效率呈现出东部、中部和西部逐步下降的特点,并且全要素能源效率与区域人均受教育年限之间呈正向关系。     

Nonlinearity in dynamic adjustment: Semiparametric estimation of panel labor supply

We estimate a semiparametric dynamic panel data model by the local linear kernel method and we interpret the slope of the nonparametric component function as a varying slope coefficient. Thus, the slope coefficient is a smooth, but otherwise unknown, function of some of the regressors. A Monte Carlo experiment is reported to examine the finite sample performance of the local linear estimator. We apply the estimation method to a labor supply equation for men from the triannual Survey of Income and Program Participation (SIPP). Specification tests based on the estimated labor supply elasticities, partial adjustment coefficients, and residuals demonstrate the improvements from a semiparametric partially linear model. Our empirical results point to a need by economists to revisit the issue of the speed of labor market adjustment to policy induced shifts in labor demand and to take more formal econometric account of heterogeneity in wage effects when studying the distributional consequences of tax reforms for labor supply earnings. First version received: July 2000/Final version received: January 2001     

基于DMSP/OLS夜间灯光数据的土地城镇化水平时空测度研究——以环渤海地区为例

在遥感和GIS技术支持下,发展出一种基于长时间序列DMSP/OLS夜间灯光数据的土地城镇化水平测度方法,并以环渤海地区为例进行1992—2010逐年土地城镇化水平时空测度研究。结果表明,在1992—2010年间:1基于DMSP/OLS夜间灯光数据提取的城镇用地信息总体精度和Kappa系数平均值分别达到了88.11%和0.61,能较好地反映区域城镇发展的实际情况,具有一定的可信度;2从总体上看,环渤海地区土地城镇化水平增长迅速,由1992年的0.82%增至2010年的3.20%,年均增长率指数为7.80%;3从区域差异上看,环渤海地区三大城市群之间、滨海城市与非滨海城市之间、距海岸线不同距离的区域之间土地城镇化水平差异显著并呈进一步扩大趋势;4从空间特征上看,土地城镇化水平高值区呈现出一定的向海性。本研究可为快速有效地测度分析区域土地城镇化水平,进而调整和优化区域城镇化格局,推进区域新型城镇化建设提供决策参考。