HOLDINGS OF NATIONAL AND LOCAL GOVERNMENTS IN COMPANIES IN FINLAND: PERSISTENCE AND CHANGE IN THE LONGER TERM

Applying an approach of neo‐institutional research, this article examines the history of company holdings of the national government and local governments in Finland in the longer term. The article examines the genealogy of the institutional forms of these holdings, the diffusion, adoption and adaptation of these forms, and the political legitimacy of new forms and the political de‐legitimation of earlier forms. For theory, the results indicate that the individual tailoring of institutional forms offers flexibility but increases complexity. For practice, the results suggest that the company form may too easily marginalize alternative institutional forms such as co‐operatives, associations, and foundations.     

Monetary Policy Uncertainty and the Response of the Yield Curve to Policy Shocks

This paper studies the nonlinear response of the term structure of interest rates to monetary policy shocks and presents a new stylized fact. We show that uncertainty about monetary policy changes the way the term structure responds to monetary policy. A policy tightening leads to a significantly smaller increase in long-term bond yields if policy uncertainty is high at the time of the shock. We also look at the decomposition of bond yields into expectations about future policy and the term premium. The weaker response of yields is driven by the fall in term premia, which fall more strongly if uncertainty about policy is high. Conditional on a monetary policy shock, higher uncertainty about monetary policy tends to make securities with longer maturities relatively more attractive to investors. As a consequence, investors demand even lower term premia. These findings are robust to the measurement of monetary policy uncertainty, the definition of the monetary policy shock, and to changing the model specification.     

REGIONAL ANTI‐CORRUPTION EFFORT,POLITICAL CONNECTIONS AND FIRM INNOVATION EFFORT: EVIDENCE FROM CHINA

This paper examines how firm characteristics and local anti‐corruption effort moderate the influence of political connections on enterprises’ private R&D investment using data from 2,587 Chinese A‐share listed enterprises. Our results show that the local anti‐corruption institutional environment significantly moderates the strong relationship between political connections and enterprises’ private R&D investment. Firm characteristics (i.e., firm size and firm age) also show a moderating effect on the relationship between political connection and enterprises’ private R&D investment; larger and older enterprises are more likely to have innovative resources and business cooperation partners, and thus are able to reduce their degree of reliance on political connections and government funding. The results of our study suggest the importance of having a transparent and fair institutional environment for enterprise innovation activities.     

Object detection based on visual memory: a feature learning and feature imagination process

ABSTRACT

Visual memory plays an important role for the human’s visual system to detect objects. The features of an object stored in the visual memory have much lower dimensions than the features contained within an image. We simulate the visual memory as a feature learning and feature imagination (FLFI) process to build an object detection algorithm. The method is constructed by a bottom-up feature learning and a top-down feature imagination. The proposed object detection method is tested using publicly available benchmark data sets, and the result indicates that it is fast and more robust.     

Governmental Financial Reporting of Heritage Assets From a User Needs Perspective

The implementation of IPSASs in European Union countries and the harmonization of governmental financial reporting are intended to respond to the needs of citizens. An important characteristic of reforms to governmental accounting and financial reporting is the incorporation within the accounting systems of all public authority assets, which include the case of ‘heritage assets’. This paper investigates to what extent IPSAS 17 responds to user needs of governmental financial reporting about heritage assets by conducting a survey of mayors and councillors in the Italian local government.     

地方本科院校本科生导师制的探索

文章围绕地方本科院校本科生导师制问题,对实施的意义、设想与对策进行探析,为地方本科院校实施本科生导师制等提供有益的参考。     

A tale of two clusters: knowledge and emergence

Cluster emergence is an important topic but weakly conceptualized in the literature. Focusing on the interaction of the local knowledge pool and firm growth, the paper develops a comprehensive framework to understand cluster emergence. In the framework, the cluster formation process starts with the collision of local and external knowledge which generates an innovation and stimulates the creation of local pioneering firms in a new field. To support the growth of follow-up entrants in the new industry, the local knowledge pool needs to be expanded and deepened through local knowledge sharing and external knowledge inflows. The enlarged local knowledge pool enables local firms to grow and explore other fields further. To promote cluster emergence, public policies need to facilitate the interaction of the local knowledge pool and firm growth. The paper illustrates the interactive framework with two aluminum extrusion clusters in China that emerged in different ways over different time periods.     

Regional disparity of embedded carbon footprint and its sources in China: a consumption perspective

Carbon emission reduction could be achieved through extensive cooperation between relevant groups such as businesses, governments and consumers. Generally, carbon emissions stem from consumer behaviour. To tackle the increasingly serious energy crisis and climate change in China, it is thus vital to control carbon emissions generated by the country's urban consumers. From a consumption perspective, we utilize a self-organizing feature map model to analyse the spatial differentiation of per capita embedded carbon footprint (ECF) in urban China. We found that the spatial differentiation is significant with the per capita ECF of the east coastal area at a high level and that per capita disposable income is the key factor affecting ECF. Based on these findings, potential business opportunities to develop low-carbon products are discussed.     

The State as Both Regulator and Player: The Politics of Transfer of Development Rights in China

The conventional argument that the introduction of transfer of development rights (TDR) shifts the power of land use regulation from the state to the market is increasingly under challenge. In China, the state's grip on land is reinforced through TDR, in which the state is both regulator and player. This state-dominated form of TDR affects China in three ways. First, competing aspirations of different scales of government complicate how TDR is implemented. Although the central state promotes TDR to maintain a national balance of arable land, some local states instrumentalize it to expand their landed basis of accumulation. Secondly, TDR tends to benefit the state but not its people. It may increase the fiscal income of the sending government and lessen the land shortage of the receiving government, but sometimes at the expense of the interests of land users without land ownership. Thirdly, given the state's deep involvement in TDR programs, the key for China's TDR to protect arable land lies not so much in clear property rights or a fully fledged market as in effective checks and balances regarding the state's powers over TDR. These three observations attest to the embeddedness of TDR in the local political economy.     

利用改进特征金字塔模型的SAR图像多目标船舶检测

深度学习模型中的特征金字塔网络（Feature Pyramid Network，FPN）常被用作合成孔径雷达（Synthetic Aperture Radar，SAR）图像中多目标船舶的检测。针对复杂场景下多目标船舶检测问题，提出了一种基于改进锚点框的FPN模型。首先将特征金字塔模型嵌入传统的RPN（Region Proposal Network）并映射成新的特征空间用于目标检测，然后利用基于形状相似度距离（Shape Similar Distance,SSD）度量的Kmeans聚类算法优化FPN的初始锚点框，并使用SAR船舶数据集测试。实验结果表明，所提算法目标检测精确率达到98.62%，在复杂场景下与YOLO、Faster RCNN、FPN based on VGG/ResNet等模型进行对比，模型准确率提高，整体性能更好。