能源企业技术创新能力对财务绩效的影响——基于企业规模的门槛效应研究

能源消费和供给的重要性使得政府给予能源企业技术创新更多关注和支持,能源企业经营存在较大风险使得能源企业技术创新能力对财务绩效的影响呈现一定特殊性。以我国能源企业2013-2018年技术创新投入与产出能力指标为样本数据,采用因子分析法和动态面板门槛效应模型,在评价能源企业技术创新能力的基础上,分别研究能源企业技术创新投入和产出能力对财务绩效的影响及企业规模门槛效应。研究结果表明,能源企业的技术创新投入和综合能力对财务绩效的影响存在显著的门槛效应,而产出能力的表现并不显著。研究结果可为国家和能源企业的技术政策制定和创新投入决策提供参考。     

地方政府住宅用地出让价格跨区域联动模式研究

研究目的:刻画、解构地方政府住宅用地出让价格跨区域联动系统。研究方法:全局向量自回归(GVAR)模型与网络分析工具。研究结果:(1)地方政府住宅用地出让价格跨区域联动系统呈现出高聚类、短路径的"小世界网络"特性。(2)地方政府住宅用地出让价格跨区域联动网络分为3个板块:板块1为"领导人"角色,板块2为"经纪人"角色,板块3为"谄媚人"角色。(3)地方政府住宅用地出让价格跨区域联动表现出明显的空间异质性。研究结论:应该从跨区域联动视角,深化对地方政府住宅用地出让价格形成机制的认识,有效管控地方政府住宅用地出让价格的跨区域影响。     

Asymmetric cointegration with threshold adjustment model of exchange rates and the trade balance in Turkey

This paper aims to investigate the long-run equilibrium relationship between the trade balance and exchange rates in Turkey using the asymmetric error correction model with threshold cointegration. The results provide new evidence for the asymmetric long-run relationship between the trade balance and exchange rates. Besides, deviations from the long-run equilibrium due to a relative increase in real exchange rates have a lower speed of adjustment in comparison to the deviations caused by a relative decrease in real exchange rates.     

Price transmission,asymmetric adjustment and threshold effects in the cotton supply chain: a case study for Vidarbha,India

This study examines price transmission asymmetries in Vidarbha's (India) cotton supply chain from 2002 to 2012. The analysis takes account of thresholds in price adjustments toward their long‐run equilibrium. The first stage considers the price dynamics between international and Indian domestic cotton prices. The second stage considers price transmission from domestic to farm gate cotton prices in Vidarbha. Results from the first stage indicate that Indian and international cotton markets are well‐integrated. In contrast, the second stage reveals significant threshold‐type nonlinearities as well as asymmetries in price transmission between domestic and farm gate prices. The short‐run dynamics suggest that the pass‐through from domestic to farm gate prices is larger when domestic prices decrease than when they increase. Moreover, back of the envelope calculations suggest that the loss in revenue for a typical farmer from a decrease in domestic price is larger than the gains from an increase in domestic price of the same magnitude. The implication is that traders benefit from price fluctuations at the expense of farmers. Evidence from fieldwork in Vidarbha suggest that asymmetries revealed in this analysis may be linked to trader's market power and inadequate market information among farmers.     

一种基于Radon变换的微表情识别算法

微表情是人们处在一些与平时生活环境不同的高强度环境下试图控制和掩饰的情感表现,也是一种不曾意识到的瞬时脸部表情,持续时间短,强度弱。为了提高其准确率,提出了基于Radon变换的微表情识别算法。首先,对数据库中的视频序列进行灰度归一化、尺寸归一化和二维主成分分析法（Two-dimensional Principal Component Analysis,2DPCA）降维预处理,使用光流法对降维后图像提取运动特征;然后使用Radon变换算法对光流图像进行处理,得到对应微表情的特征值和特征图像;最后使用支持向量机进行微表情分类识别。实验结果表明,使用Radon变换后得到的微表情特征图像得到了较好的识别效果,在微表情数据集CASME和CASMEⅡ上识别率分别为81.48%和82.17%,通过与选取的其他方法对比说明了该方法具有更好的识别性能。     

技术进步偏向、创新要素配置与经济韧性

基于2006—2020年中国内地31个省域面板数据,从影响传导机制、非线性特质角度探究技术进步偏向对经济韧性的影响效应。结果发现：(1)技术进步偏向对经济韧性具有显著正向影响,这一结论在稳健性与内生性检验中依然成立;(2)就作用机制而言,创新要素配置是影响技术进步偏向作用于经济韧性的重要机制;(3)门槛模型检验结果显示,技术进步偏向指数及其子维度与经济调整适应能力不存在非线性作用关系,但与经济创新转型能力具有非线性关系。因此,要合理引导技术发展方向,发挥技术进步偏向的积极作用;充分发挥“有效市场”和“有为政府”的合力作用,优化创新要素配置;以技术创新、理念革新与机制鼎新抵御潜在风险,增强经济韧性。     

Banks’ external financing costs and the bank lending channel: Results from a SVAR analysis

We analyze the dynamic response of banks’ financing costs to structural, macroeconomic shocks, which we identify by imposing combinations of zero and sign restrictions on impulse responses. For the estimation we combine US bank balance sheet data from the Call reports with macroeconomic aggregates over the period from 1984Q1 to 2007Q3. We find that banks’ financing costs mainly respond to monetary policy and aggregate demand shocks. Furthermore, funding costs of undercapitalized and illiquid banks increase more strongly after a contractionary monetary policy shock as compared to better capitalized and more liquid banks. These results provide support for the view that banks’ financing costs represent an important element of the bank lending channel.     

STRUCTURAL VECTOR AUTOREGRESSIONS: CHECKING IDENTIFYING LONG‐RUN RESTRICTIONS VIA HETEROSKEDASTICITY

Long‐run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically just‐identifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have been used for this purpose. Three main approaches have been used, exogenously generated changes in the unconditional residual covariance matrix, changing volatility modelled by a Markov switching mechanism and multivariate generalized autoregressive conditional heteroskedasticity models. Using changes in volatility for checking long‐run identifying restrictions in structural VAR analysis is illustrated by reconsidering models for identifying fundamental components of stock prices.     

Disappearing Dividends: Implications for the Dividend–Price Ratio and Return Predictability

The conventional dividend–price ratio is highly persistent, and the literature reports mixed evidence on its role in predicting stock returns. We argue that the decreasing number of firms with a traditional dividend‐payout policy is responsible for these results, and develop a model in which the long‐run relationship between the dividends and stock price is time varying. An adjusted dividend–price ratio that accounts for the time‐varying long‐run relationship is considerably less persistent. Furthermore, the predictive regression model that employs the adjusted dividend–price ratio as a regressor outperforms the random‐walk model. These results are robust with respect to the firm size.     

Post-SARS tourist arrival recovery patterns: An analysis based on a catastrophe theory

In 2003, the Severe Acute Respiratory Syndrome (SARS) ravaged many Asian countries. The outbreak of SARS caused a crisis in the tourism industry in many parts of Asia in that year. The purpose of this study is to examine and to compare the post-SARS recovery patterns of inbound arrivals from Japan, Hong Kong and USA in Taiwan. Taking the cusp catastrophe model as its foundation, this study proposes a well-grounded approach to understanding the nature of the recovery processes and to explaining the difference between the recovery patterns displayed by arrivals from Japan and those from Hong Kong and USA. Implications regarding tourism promotion policies are drawn from the analysis.