Characteristics and implications of Chinese macroeconomic data revisions

The research examining macroeconomic data for developed economies suggests that an understanding of the nature of data revisions is important both for the production of accurate macroeconomic forecasts and for forecast evaluation. This paper focuses on Chinese data, for which there has been substantial debate about data quality for some time. The key finding in this paper is that, while it is true that the Chinese macroeconomic data revisions are not well-behaved, they are not very different from similarly-timed U.S. macroeconomic data revisions. The positive bias in Chinese real GDP revisions is a result of the fast-growing service sector, which is notably hard to measure in real time. A better understanding of the revisions process is particularly helpful for studies of the forecast errors from surveys of forecasters, where the choice of the vintage for outcomes may have an impact on the estimated forecast errors.     

Forecasting GDP growth with NIPA aggregates: In search of core GDP

In addition to GDP, which is measured using expenditure data, the U.S. national income and product accounts (NIPAs) provide a variety of measures of economic activity, including gross domestic income and other aggregates that exclude one or more of the components that make up GDP. Similarly to the way in which economists have attempted to use core inflation—which excludes volatile energy and food prices—to predict headline inflation, the omission of GDP components may be useful in extracting a signal as to where GDP is going. We investigate the extent to which these NIPA aggregates constitute “core GDP.” In an out-of-sample forecasting exercise using a novel real-time dataset of NIPA aggregates, we find that consumption growth and the growth of GDP excluding inventories and trade have historically outperformed a canonical univariate benchmark for forecasting GDP growth, suggesting that these are promising measures of core GDP growth.     

我国M2现状及未来趋势浅析

对我国当前M2快速增长的原因,从经济发展、居民储蓄和外汇储备等三个方面进行深入分析,并在此基础上对未来发展趋势进行预测分析。     

Does high‐speed rail connection really promote local economy? Evidence from China’s Yangtze River Delta

High‐speed rail (HSR) has led to a transportation revolution in China. This paper uses the county‐level panel data of China’s Yangtze River Delta to investigate the effect of HSR connection on local economy. To address the issue of endogenous HSR route placement, we use a straight‐line strategy to construct potential HSR connection variables as instrumental variables of the actual HSR connection. Both the difference‐in‐differences and instrumental variable methods show that HSR connection impedes local economy, especially in peripheral regions. The impediment effect is channeled through population reallocation from peripheral to core areas and the restructuring of industries.     

绿色海洋GDP核算实例研究

在海洋强国战略视域下，以高质量发展为主题，综合海洋资源、环境、生态和社会等因素，选取辽宁省作为研究区域进行海洋 GDP核算实例研究，将资源损耗价值、环境污染损失、生态效益价值、社会牺牲成本纳入绿色海洋 GDP核算中。通过阐述绿色海洋 GDP核算的内涵和方法，分析绿色核算在海洋经济核算中实施的可行性，对前期绿色海洋 GDP核算指标进行修正，并提出开展绿色海洋 GDP核算的保障措施，力求对转变海洋经济发展方式、加快实现海洋经济高质量发展做出有益贡献。     

政府质量、科技创新与绿色GDP——中国省际空间溢出效应及区域差异对比

通过构建嵌入政府质量和科技创新因素的经济增长模型，利用中国30个省份2004~2017年的平衡面板数据，实证检验政府质量、科技创新对绿色GDP发展的影响。研究发现：中国绿色GDP存在显著的空间集聚性及明显的区域差异性。在经济权重矩阵影响下，不同地区的政府效率、市场化程度、公平程度和腐败程度对绿色GDP的影响不同，其中政府效率、公平程度能有效促进经济发展较好地区的绿色GDP增长，却会抑制比较落后地区绿色GDP的增长；市场化程度对大部分地区绿色GDP呈现促进作用；腐败程度对地区绿色GDP增长呈阻碍作用。科技创新对各地区绿色GDP均起到积极的促进作用。因此，提升绿色GDP发展水平不仅需要提高地方政府质量，为绿色GDP发展提供符合实际的政策指导意见，还需激活企业科技创新能力，为绿色GDP发展提供有力科技保障。     

High-frequency credit spread information and macroeconomic forecast revision

We examine whether professional forecasters incorporate high-frequency information about credit conditions when revising their economic forecasts. Using a mixed data sampling regression approach, we find that daily credit spreads have significant predictive ability for monthly forecast revisions of output growth, at both the aggregate and individual forecast levels. The relationships are shown to be notably strong during ‘bad’ economic conditions, which suggests that forecasters anticipate more pronounced effects of credit tightening during economic downturns, indicating an amplification effect of financial developments on macroeconomic aggregates. The forecasts do not incorporate all financial information received in equal measures, implying the presence of information rigidities in the incorporation of credit spread information.     

GDP硬性指标下产能过剩的分析及其应对策略

通过介绍GDP指标及其对我国经济发展的影响,分析了它与产能过剩之间的关系,提出应引入绿色GDP评价指标。认为将绿色GDP指标作为衡量我国政府绩效的指标,既符合绩效审计寻求发展的内在要求,又是实现可持续发展的必然选择。因此,在今后的经济建设中,各级政府应努力贯彻＂科学发展观＂,建立纳入了资源耗减成本与环境成本的“绿色GDP”评价指标,形成可持续发展理念。     

Potential Growth of the US Economy: Will the Productivity Resurgence Continue?

This paper analyzes the sources of U.S. productivity growth through 2004 and presents medium-term projections for the U.S. economy. We attribute a substantial portion of productivity gains over the past decade to production and use of information technology equipment and software. In the most recent years, we also identify a growing contribution from sources outside the technology- producing sectors. Our base-case projection for the GDP growth rate is almost exactly three percent. We emphasize the substantial range of uncertainty by presenting an optimistic projection of 3.5 percent and a pessimistic projection of only 1.9 percent. JEL Classification D240,E230     

广西税收增长与经济增长关系的实证分析

本文运用回归模型、自回归分布滞后模型和动态分布滞后模型对广西税收增长与经济增长的关系进行了实证分析。结果表明:广西税收对GDP的弹性过低,原因主要是税制结构不合理、税收征管存在问题。税收增长短期内具有较大惯性,就长期而言还是依赖于经济的持续稳定增长,广西的税收增长与经济增长之间存在长期协调增长的关系。