The effect of corporate real estate ownership on R&D innovation: credit relief vs. resource replacement in China

Against the background of supply-side structural reform and the real estate financialisation in China, this study investigates the impact of real estate holdings on R&D investment using data of enterprises listed on the Shanghai and Shenzhen stock exchanges. Our empirical results yield five main findings. First, enterprises holding more real estate assets face more serious financial constraints, thus restraining corporate innovation efficiency. Second, when the profit margin gap between entity enterprises and the real estate industry is larger, enterprises are more inclined to transfer industrial capital into the real estate industry, thus reducing R&D investment. Third, when the degree of marketisation is high, intensified market competition, the optimal allocation of factor and product markets, and stronger patent protection will weaken the restraining effect of corporate real estate holdings on R&D investment. Fourth, monopoly enterprises obtain potential profits more than undertaking risks from the real estate industry, they are more willing to hold real estate, thus strengthening the restraining effect of real estate holdings on innovation. Finally, investors' regional preference intensifies the restraining effect of corporate real estate holdings on R&D investment. Our empirical evidence can guide entity enterprises on how to effectively balance short-term (non-productive) and long-term (productive) capital investment.     

Improving on two-stage estimators for scale families

Summary Consider the problem of finding an estimator for a scale parameter such that its risk function is bounded by a preassigned constant. As a solution of the problem, two-stage estimators based on only the second sample have been proposed. The paper shows that these estimators can be improved by combining the first and the second sample.     

Sustainable resource use,economic development,and public regulation

The role of production technology for sustainable economic growth and resource management in the multispecies renewable resources industries is a neglected issue, particularly in complex tropical ecosystems. Given the still rudimentary understanding of biological interactions among species, even in most temperate ecosystems, the importance of under-standing the technological and economic interactions is heightened for sustainable economic growth and public regulation. This paper evaluates these interactions for the multiproduct gill net fisheries of Peninsular Malaysia. Standard price and quantity controls may have little promise. Gear regulations, a policy of constant escapement, and managing the entire mix of species as a single stock for economic rather than biomass yield appear the most promising management tools given the limited regulatory options.     

Does expenditure in public governance guarantee less corruption? Non-linearities and complementarities of the rule of law

Corruption is an endemic societal problem with profound implications in the development of nations. In combating this issue, cross-national evidence supporting the effectiveness of the rule of law seems at odds with poorly realized outcomes from reforms inspired in the academic literature. This paper provides an explanation for such contradiction. By building a computational approach, we develop three methodological novelties into the empirical study of corruption: (1) modeling government expenditure as a more adequate intervention variable than traditional indicators, (2) generating large within-country variation by means of bottom-up simulations (instead of cross-national data pooling), and (2) accounting for all possible interactions between covariates through a spillover network. Our estimates suggest that, the least developed a country is, the more difficult it is to find the right combination of policies that lead to reductions in corruption. We characterize this difficulty through a rugged landscape that governments navigate when changing the total budget size and the relative expenditure towards the rule of law. Importantly our method helps identifying the—country-specific—policy issues that complement the rule of law in the fight against corruption.

     

The growth path of the dynamic Asian economies

The rapid and sustained growth of several Asian economies led researchers, policymakers, and decision‐makers in the world of international business to search for a plausible Asian model of growth. Numerous explanations of the dynamic growth in Asia have been put forward, including the ‘new structuralist’ approach proposed by Lin (2012). This paper examines the various explanations of what these countries did to unleash their growth potential. Industrial policy and market intervention are two such explanations. While the dynamic Asian economies did not flout the Washington Consensus, they adapted it in different ways. The policies that they followed under the Beijing Consensus allowed them to proactively follow pro‐business policies. They also exploited the concepts of economic statism or state capitalism, which became an integral part of what became known as the ‘Asia model’.     

防御性现实主义:进攻性现实主义时代的悲剧

作者旨在回答一个重要的问题:防御性现实主义在进攻性现实主义时代的命运如何?这个问题可以分解为两个小问题:进攻性现实主义时代下的防御性现实主义国家面临哪些生存压力?这些生存压力对防御性现实主义国家会造成哪些影响?作者认为,在进攻性现实主义时代,防御性现实主义国家面临五种生存压力:防御性现实主义国家是进攻性现实主义国家进攻的诱因;防御性现实主义国家经常遭遇进攻性现实主义国家的攻击;防御性现实主义国家被进攻性现实主义国家包围;防御性现实主义国家几乎无法和进攻性现实主义国家合作;防御性现实主义国家的军力通常在整体上或在关键指标上落后于进攻性现实主义国家。在这些生存压力之下,防御性现实主义国家的生存质量堪忧,在重要的物质利益和国家的自主性两项指标上的表现难如人意。作者采取了案例分析的方法,以中国宋朝和波兰为例,论证了进攻性现实主义时代的防御性现实主义困境。     

亚洲工厂及关联度分析

依据亚洲零部件贸易数据,作者采用了依存比率的方法对亚洲工厂的规模、工厂内部以及同美国之间的相互依存关系进行了研究。研究结果发现,亚洲工厂的规模超过北美洲和欧洲工厂,成为了世界上最大的工厂。亚洲零部件内部贸易额及比重超过了欧盟,这说明亚洲生产的一体化程度更高。从零部件进出口规模角度看,亚洲地区的经济体均高度依赖亚洲工厂的活动,而亚洲工厂对中国的依存度则最高,对日本的依赖程度只排在第三位,这说明中国是亚洲工厂的核心平台。美国在亚洲贸易中的重要性主要体现为中国的最终产品出口对美国市场存在严重依赖,而亚洲主要经济体对中国市场的出口已经超过对美国的出口,亚洲工厂对于美国的依赖程度并不高,远远低于亚洲工厂对中国内地和中国香港的依赖。相反,美国对亚洲工厂的依赖程度则远高于亚洲工厂对美国的依赖。     

Inference for the two-parameter bathtub-shaped distribution based on record data

Here we consider the record data from the two-parameter of bathtub-shaped distribution. First, we develop simplified forms for the single moments, variances and covariance of records. These distributional properties are quite useful in obtaining the best linear unbiased estimators of the location and scale parameters which can be included in the model. The estimation of the unknown shape parameters and prediction of the future unobserved records based on some observed ones are discussed. Frequentist and Bayesian analyses are adopted for conducting the estimation and prediction problems. The likelihood method, moment based method, bootstrap methods as well as the Bayesian sampling techniques are applied for the inference problems. The point predictors and credible intervals of future record values based on an informative set of records can be developed. Monte Carlo simulations are performed to compare the so developed methods and one real data set is analyzed for illustrative purposes.     

Challenges of using RPA in auditing: A socio-technical systems approach

The use of Robotic Process Automation (RPA) is rapidly growing in the professional services sector such as auditing. Despite the great benefits RPA can offer, RPA failure rates are still high. In this research, we draw on socio-technical systems theory to examine the challenges of using RPA in the various phases of auditing and how auditors address these challenges. By interviewing experienced partners and auditors in auditing firms and technology companies, we show that challenges arise when there is a lack of fit between the technical requirements of the RPA tool (technical subsystem) and the skills and knowledge of the auditors and clients (social subsystem). We discuss our findings and provide valuable practical implications and opportunities for future research.     

The characteristic function of rough Heston models

It has been recently shown that rough volatility models, where the volatility is driven by a fractional Brownian motion with small Hurst parameter, provide very relevant dynamics in order to reproduce the behavior of both historical and implied volatilities. However, due to the non‐Markovian nature of the fractional Brownian motion, they raise new issues when it comes to derivatives pricing. Using an original link between nearly unstable Hawkes processes and fractional volatility models, we compute the characteristic function of the log‐price in rough Heston models. In the classical Heston model, the characteristic function is expressed in terms of the solution of a Riccati equation. Here, we show that rough Heston models exhibit quite a similar structure, the Riccati equation being replaced by a fractional Riccati equation.