Excessive Financial Support,Real Estate Development and Macroeconomic Growth: Evidence from China

ABSTRACT

Using monthly panel data for China’s 30 provinces from 2007 to 2017, this article analyzes how level of financial support affects the interplay between real estate development and macroeconomic growth. Based on a threshold model, the results suggest that housing price increases substantially impede economic growth, but there is no significant threshold effect for the sample as a whole. On investigating regional cross-sectional variations, we found that local economic situation clearly impacts on this effect, with significant threshold effects detected in subsamples. While housing price may have positive influences on economic growth in the mid-west subgroup with appropriate financial support, more developed regions returned contrary results.     

Monetary policy and food inflation in South Africa: A quantile regression analysis

Although optimal monetary policy stabilizes food inflation theoretically, empirical studies remain limited not only in the context of volumes and the estimation approaches, but are focused on selected advanced and emerging countries to the neglect of Africa where poverty and dominance of food in the consumption basket are more pronounced. We provide empirical evidence in the context of South Africa using quantile regressions. Rising food prices are destabilized even further by restrictive monetary policy; a finding that has ramifications for inflation targeting, especially given that a quarter of the country’s population is food poor.     

Why cryptocurrency markets are inefficient: The impact of liquidity and volatility

In this research, we study the multifractality, long-memory process, and efficiency hypothesis of six major cryptocurrencies (Bitcoin, Ethereum, Monero, Dash, Litecoin, and Ripple) using the time-rolling MF-DFA approach. For an in-depth analysis, this study uses the quantile regression approach to examine the determinants of efficient markets. The results show that all markets present evidence of long-memory property and multifractality. Furthermore, the inefficiency of cryptocurrency markets is time-varying, and Dash is the least inefficient market while Litecoin is the most inefficient. Finally, we find that higher liquidity improves but higher volatility weakens the efficiency of cryptocurrencies, depending on the quantiles. Therefore, we conclude that high liquidity with low volatility helps active traders to arbitrage away opportunities, resulting in market efficiency.     

新疆棉农残膜回收行为影响因素及实证研究*——基于棉农的调研数据

［目的］为响应农业农村部“农业绿色发展五大行动”，加强农业面源污染防治，缓解新疆棉田残膜危害，基于新疆棉农的问卷调查研究棉农的残膜回收行为。［方法］采用描述性统计和Logistic回归模型分析影响新疆棉农残膜回收行为的因素。［结果］（1）新疆农用地膜回收率低，地膜污染形势严峻。（2）棉农对残膜危害认知缺乏，对残膜回收的间接价值认识不足，影响新疆残膜回收效率。（3）残膜回收的成本收益是影响棉农残膜回收行为的关键因素，其他如棉农年龄、种棉年限、对残膜危害的认知等自身特征，以及农户劳动力数量、政府对残膜污染的关注程度等因素对棉农的残膜回收行为有重要影响。［结论］网络及电视广播等现代媒体对棉农的残膜危害认知水平有较大影响，棉农更愿意采用成本更节约的焚烧、堆地的残膜处理方式。因此提出引导棉农残膜回收、提高棉田残膜回收效率的对策建议。     

The time‐varying performance of UK analyst recommendation revisions: Do market conditions matter?

This study examines the time‐varying performance of investment strategies following analyst recommendation revisions in the UK stock market, with specific emphasis on the impact of changing market conditions. We find a negative relationship between the recommendation performance and market conditions as measured in terms of past market return and market volatility. In particular, the upgrade (downgrade) portfolio generates significantly positive (negative) net abnormal returns in bad market conditions (e.g., the dot‐com bubble burst in 2000 and the credit crisis in 2007), but not in other periods of time. Moreover, our non‐temporal threshold regression analysis shows that the reported negative relationship disappears when market conditions become better, i.e., when the past market return (market volatility) is higher (lower) than a certain level, indicating the importance of taking non‐linearity into account in the long sample period as examined in this study. Our time‐series bootstrap simulations further confirm that the superior recommendation performance in bad market conditions is not due to random chance; analysts have certain skills in making valuable up/downward revisions in bad markets.     

生态文明建设背景财政扶持、林权改革对林业生产效率的影响

基于2000—2016年中国省际面板数据,利用DEA-Malmquist指数法对中国林业生产效率的区域差异和时序变化进行研究,运用面板Tobit模型检验财政扶持对林业生产效率的影响并验证林权改革对二者关系的调节作用。研究发现:在生态文明建设背景下,林业生产效率存在显著的区域差异;技术进步对于全要素生产率的提升起到重要推进作用;财政扶持与林权改革均对林业生产效率产生了正向影响,但林权改革并没有对财政扶持与林业生产效率的关系产生积极调节作用。因此,各省份应当通过加大政府扶持力度、优化投资方式、深化集体林权制度改革等措施促进林业生产效率提升。     

组织支持感与员工创造力——相对组织支持感和情感承诺的影响

从自我提升视角出发，基于社会比较理论与社会交换理论，分析组织支持感影响员工创造力的过程机制，相对组织支持感的调节作用以及情感承诺与创造力之间的曲线关系。基于458份企业员工与主管的配对样本，研究结果表明：相对组织支持感显著正向调节了组织支持感与情感承诺之间的关系，情感承诺与员工创造力呈显著的倒U型关系，情感承诺在组织支持感与创造力关系之间起到了瞬时中介作用。研究结果拓展了对组织支持感的影响机制及其边界条件的分析，深化了情感承诺与员工创造力关系的检验。     

Testing the asymmetric effects of exchange rate pass‐through in BRICS countries: Does the state of the economy matter?

This paper investigates not only the question of whether there is exchange rate pass‐through (ERPT) but also the extent to which the pass‐through is asymmetric or state‐dependent in the BRICS countries. Using monthly data from 1999:M1 to 2019:M12 and non‐linear smooth transition vector autoregressive (STVAR) model, our results provide evidence of period‐specific ERPT between the upper and lower regime periods, governed by the selected transition variables. The results further suggest that the pass‐through of exchange rate is higher when the economy is experiencing large appreciations and expansions as well as large depreciations and recessions. Theimplication for these findings is that ERPT is strongly affected by the state of the economy.     

The international market selection of Chinese SMEs: How institutional influence overrides psychic distance

The purpose of this research is to contribute to the ongoing debate about whether psychic distance still plays a vital role in the internationalisation of SMEs from emerging markets. Drawing on the prior research which suggests the salient impact of institutional factors on internationalisation, we investigate the role of home country institutions in international market selection. Adopting a multi-case methodology, we collected semi-structured interview data from six small and medium-sized manufacturing firms in China. Our findings suggest that while psychic distance is still important in some circumstances, both formal institutions, such as government support, and informal institutions, such as business and political guanxi, enable Chinese SMEs to choose psychically distant markets. Our findings also indicate that informal institutions interact with formal institutions to further influence SMEs’ international market selection. This research contributes to SME internationalisation studies by revealing how formal and informal institutional factors override psychic distance in influencing international market selection.     

利用频移动态特征的辐射源目标盲分选

利用辐射源目标的频移动态特征进行盲分选时，针对已有的分选方法不能很好解决非合作接收数据非周期、间断、交叠的问题，提出了一种改进的逻辑回归分选算法,将信号分选转化为轨迹分类的问题来处理。首先，借鉴多目标航迹起始模型中的M/N逻辑法的框架，设计新的数据关联门限，以建立目标起始曲线；其次，采用最小二乘拟合方法替代卡尔曼滤波，设计新的外推规则，建立载频变化预测曲线；分析新的接收数据与预测曲线的关联性，不断迭代回归或形成新的分支，最后获得目标分选结果。仿真与实测试验表明，利用逻辑回归分选算法，对不同运动目标搭载的同频辐射源可进行自动分选，4个仿真目标与2个真实目标的分选正确率达到100%。同时，该方法拓展了辐射源目标盲分选中的动态频移特征应用，为辐射源个体识别提供了新的支持。