组合式房产税改革的宏观经济效应 ——兼顾居民用房与商业用房的DSGE框架分析

本文通过构建包含房产税的动态随机一般均衡（DSGE）框架，兼顾居民用房与商业用房，模拟分析房产税改革对主要宏观经济变量的影响。研究结果表明：（1）提高居民用房房产税税率对总消费、投资、房价和总产出等变量的均衡值和波动均以负面影响为主，但会降低社会福利损失；（2）降低商业用房房产税税率对总消费、投资、房价和总产出等变量的均衡值和波动均以正面影响为主，但会提高社会福利损失；（3）提高居民用房房产税税率与降低商业用房房产税税率同时实施时，不仅能够对冲居民用房房产税改革对宏观经济的负面影响，尤其是能够有效对冲改革对投资和总产出的负面影响，还会降低社会福利损失。因此，中国下一步试点改革应当重点关注组合式改革方案。     

Macroeconomic consequences of state fragility in sub‐Saharan Africa

Are poor macroeconomic outcomes primarily the result of economic policies, or of deeper underlying state fragility problems in sub‐Saharan Africa? We attempt to answer this question by using carefully specified dynamic panel regression techniques to show how state fragility conditions help to explain the differences in the macroeconomic performance of sub‐Saharan African economies, and to identify the most plausible mechanisms of transmission. We find that countries with greater fragility suffer higher macroeconomic volatility and crisis; they also experience weaker growth. When we disaggregate state fragility into its various components, we find that it is the security and social components that have the strongest causal impact on macroeconomic outcomes, while the political component is, at best, weak. Therefore, we conclude that it is state fragility conditions, and not necessarily macroeconomic policies, that are of first‐order importance in explaining the differences in macroeconomic performance for African countries. The knock‐on effects are mostly mediated through the fiscal channel, the aid channel, and the finance channel. Accordingly, we recommend that interventions in fragile states should best focus on exploiting the potential for using fiscal policy, aid, and finance as instruments to improve macroeconomic outcomes in sub‐Saharan Africa.     

The Role of National Culture in International Financial Reporting Standards Adoption

Prior research shows that the development of national accounting systems follows different patterns in different countries over the world. This was recently supported by the staggered manner in which countries adopt IFRS. Extant evidence shows that IFRS adoption decisions at the country level are determined by institutional and economic factors. In this context, cultural factors have not been considered. This paper examines the relationship between five cultural dimensions and countries’ decisions to adopt International Financial Reporting Standards (IFRS) around the world during the period 2003-2014. We find that countries with higher levels of uncertainty avoidance are more likely to adopt IFRS. Additionally, they are more likely to commit to early adoption largely on a mandatory rather than voluntary basis. On the other hand, countries with higher values of masculinity are more likely to adopt IFRS early, but the extent (whether voluntary or mandatory adoption) of adoption is not significantly related to masculinity. Finally, we show that countries with higher power distance (long-term orientation) are more (less) likely to adopt IFRS on a mandatory basis. The results are in line with Gray’s theory of cultural influence and suggest that differences in national culture had a significant role in countries’ reaction to the introduction of IFRS as a set of unified accounting standards targeting the harmonization of accounting standards adopted across different jurisdictions.     

Promote Competitive Neutrality to Facilitate China’s Economic Development:Outlook,Policy Simulations,and Reform Implementation-A Summary of the Annual SUFE Macroeconomic Report(2019-2020)

Twenty nineteen(2019)marked another year of lethargic growth in the Chinese economy amidst escalated internal and external complexities.Internally,the country's macroeconomic landscape was overcast continuously by fallen consumption growth,plunged growth in manufacturing investment,rapid accumulation of household debt,risen income inequality,and the overhang of local government debt.The nation's external conditions did not fare any better,with drastically declined growth in imports and exports,continued trade tensions with the US,and weakened external demand.Based on the IAR-CMM model,which takes account of both cyclical and secular factors,the baseline real GDP growth rate is projected to be 6.0%in 2020(5.9%using more reliable rather than the official data),with a downside risk.Alternative scenario analyses and policy simulations are conducted,in addition to the benchmark forecast,to reflect the influences of various internal and external uncertainties.The findings emanated from these analyses lead us to stress the importance and urgency of deepening reform to achieve competitive neutrality for China’s transformation into a phase with sustainable and high-quality development.     

实体企业金融投资收益对中国宏观经济波动的影响分析

实体企业热衷于从金融市场获取投资收益，个别企业甚至出现了过度金融化的倾向，成为经济新常态大背景下的一种独特的经济现象。对2009~2018年我国宏观经济的发展动向及实体企业金融化的具体数据展开研究，并以同期沪深两市3567个有效面板数据为研究对象，建立一种多元回归统计分析模型，研究实体企业金融投资收益对宏观经济波动所产生的影响。实证分析结果表明，实体企业投资金融收益与宏观经济波动显著相关，这种过度金融投资行为增加了金融市场的不稳定性，给宏观经济的平稳发展带来了新的阻力。     

Labor and behavior determinants of remittances in Saudi Arabia

Saudi Arabia is the second largest sender of international remittances. These remittances constitute large foreign capital inflows to labor‐exporting remittee economies. This study is the first to structurally decompose remittance dynamics into behavioral and labor market outcomes of migrants. Remittance outflows are decomposed into migrant labor supply, unemployment and participation rates, wage earnings, and the marginal propensity to remit (MPR) out of migrant earnings. The estimates suggest that migrant labor supply is highly elastic. The important driver of remittance dynamics is the MPR, migrant wages, and the labor supply of migrants. The MPR is found to respond counter‐cyclically to foreign gross domestic product.     

Macroeconomic policy cooperation and the G20

Has the G20 achieved its goals in macroeconomic cooperation since 2008? The paper organises the G20's efforts under five themes: macroeconomic stimulus, fiscal consolidation, monetary policy, the global financial safety net and global imbalances. The G20 was initially successful in each of these areas, but this success was short‐lived. While the G20 met its goals on macroeconomic stimulus, it has been less successful in reducing deficits and debt. While it was successful in increasing its resources, the global financial safety net remains too small, too fragmented and institutional reform is incomplete. While the G20 succeeded in moving to more market‐determined exchange rates and avoiding competitive devaluations, it struggled to avoid negative spillovers. Despite years of effort, the G20 has made limited progress in reducing global imbalances. Current account imbalances are creeping back to pre‐crisis levels. Public debt remains high and most economies are moving in the wrong direction in correcting imbalances in household savings and debt. The paper concludes that the G20 has done better in some areas than others. But to suggest the G20 is a forum in decline ignores its shift from reactive crisis response to longer‐term structural challenges outside of the pressing need of an immediate crisis.     

Forecasting macroeconomic variables in emerging economies

Forecasting macroeconomic variables in rapidly changing emerging economies presents a number of challenges. In addition to structural changes, the time-series data are usually available only for a short number of periods, and predictors are available in different lengths and frequencies. Dynamic model averaging (DMA), by allowing the forecasting model to change dynamically over time, permits the use of predictors with different lengths and frequencies for the purpose of forecasting in a rapidly changing economy. This study uses DMA to forecast inflation and growth in Vietnam, Thailand, Philippines, Sri Lanka and Ghana. We compare its forecasting performance with a wide range of other time-series methods. We find that the size and composition of the optimal predictor set changed, indicating changes in the economic relationships over time. We also find that DMA frequently produces more accurate forecasts than other forecasting methods for both inflation and economic growth in the countries studied.