Selling Foreign Investment Short

2005 ◽  
Vol 1 (02) ◽  
pp. 319-327
Author(s):  
William H. Overholt
Keyword(s):  
Accounting Standards ◽  
Chinese Economy ◽  
Private Enterprises ◽  
Bond Markets ◽  
Negative Consequences ◽  
Pecking Order ◽  
Advantages And Disadvantages ◽  
Laws And Policies ◽  
High Level ◽  
State Enterprises

Yasheng Huang is a thoughtful, articulate observer of China's political economy, who has gained international respect. Many high-level conferences benefit from his insights, and this reviewer is indebted on a variety of issues. Selling China is essentially two books. One is a very impressive, very carefully documented review of the negative consequences for the Chinese economy of laws and policies that advantage state enterprises at the expense of private enterprises – particularly of a financial system that allocates financial resources overwhelmingly to relatively inefficient state enterprises, and proportionately disadvantages private enterprises. As Huang details, the current Chinese system allocates advantages and disadvantages to firms according to a political pecking order rather than by credit quality. China's markets are highly fragmented and locally protected. China's banks allocate capital disproportionately to state enterprises. Its stock and bond markets are largely restricted by policy, although not by law, to state enterprises. Implicit government guarantees of loans to the biggest state enterprises (SOEs), together with weak private-sector accounting standards, make it irrational for the banks to lend to private firms rather than to big SOEs.

scholarly journals The Causes and Countermeasures of Corruption in China

2021 ◽  
Vol 9 (2) ◽  
pp. p31
Author(s):  
Di Zhu
Keyword(s):  
Chinese Economy ◽  
Short Paper ◽  
Chinese Government ◽  
Allocation Of Resources ◽  
Negative Consequences ◽  
Social Unrest ◽  
Regional Income Inequality ◽  
High Level ◽  
Reform And Opening Up ◽  
Opening Up

Based on the Transparency International’s rank, China have had serious corruption issue so far (Lawrence & Weber, 2017). Since the reform and opening-up policy has been carried out in 1978, corruption has rapidly worsened in China, although the Chinese economy has been performing well (Wederman, 2004). Some scholars argued that the corruption may distort the allocation of resources, but unlike other countries, China’s economic growth was not affected significantly by corruption because of high level of public trust (Li & Wu, 2007). However, corruption may result in a serious regional income inequality and has significant negative consequences of increasing public resentment and social unrest causing more harm to economy (Wu & Zhu, 2011). As a result, the Chinese government often aggressively punishes the corruption actions by law (Lawrence & Weber, 2017).There are currently few researches to focus on corruption in China because of sensitive nature of corruption and lack of effective methodologies limited to surveys and case studies (Guo, 2008). In this paper, corruption only refers to bribery, a common form and consequence of abuse of public authority for personal gains (Wederman, 2004). By looking at some literatures, this short paper first elaborated on several reasons why corruption in China has been so serious, then come up with a constructive framework coping with corruption.

scholarly journals Income formation of hunting farms of Zaporizhia region

2021 ◽  
Vol 23 (97) ◽  
pp. 41-47
Author(s):  
O. O. Sobolevska
Keyword(s):  
Public Organizations ◽  
Legal Framework ◽  
Cost Recovery ◽  
Private Enterprises ◽  
Game Birds ◽  
Private And Public ◽  
High Level ◽  
Negative Factors ◽  
State Enterprises ◽  
Ukrainian Society

The relevance of the study of the dynamics and structure of income of hunting farms in the region. It is determined that this study is one of the main tasks of the analysis of enterprise income. The classification and structure of incomes of hunting farms are given. The dynamics in the formation of the number of users of hunting lands of Zaporizhia region and their structure in terms of state enterprises, public organizations and private enterprises are analysed. There is a tendency to reduce the area of hunting grounds in state farms and public organizations and increase – in private enterprises. An analysis of the financial performance of hunting farms in general, which showed that the level of cost recovery income in the Zaporizhia region among other regions of Ukraine is one of the highest. A similar analysis in terms of different organizational forms of hunting management showed the lowest level of cost recovery for users who belong to other private and public hunting organizations. In 2019 it was 55.9 % compared to 63.8 % in the organizations of the Ukrainian Society of Hunters and Fishermen and 74.4% in the enterprises of the State Forest Agency of Ukraine. The structure of sources of income of hunting farms is given, among which the main ones are income from the sale of licenses for hunting animals, sale of shot cards for fur, sale of shot cards for game birds, sponsorship, and other income. The dynamics of the total number and number of captured wild animals by their different species is analysed. It is shown that the most significant share of income of hunting farms in Zaporizhia region is provided by the number of ungulates, which remains low in the region. During the period from 2015 to 2019, it decreased from 52 to 19 animals. It is established that the formation of income of hunting farms is influenced by the following negative factors: high level of poaching, shadow component of the economy, imperfection of the legal framework and statistical reporting, reduction of hunting grounds, reduction of ungulates, insufficient number of qualified specialists. The study found that the almost complete lack of state support for the hunting industry has led to a decrease in the interest of hunting land users in the efficient and rational use of natural resources of the region.

scholarly journals A survey: which features are required for dynamic visual simultaneous localization and mapping?

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Zewen Xu ◽  
Zheng Rong ◽  
Yihong Wu
Keyword(s):  
Simultaneous Localization And Mapping ◽  
Dynamic Environments ◽  
Visual Features ◽  
Advantages And Disadvantages ◽  
Intelligent Robots ◽  
Localization And Mapping ◽  
High Level ◽  
Static World ◽  
Robotic Applications ◽  
Significant Attention

AbstractIn recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry. Some pioneering work on this technique has expanded the potential of robotic applications. Compared to standard SLAM under the static world assumption, dynamic SLAM divides features into static and dynamic categories and leverages each type of feature properly. Therefore, dynamic SLAM can provide more robust localization for intelligent robots that operate in complex dynamic environments. Additionally, to meet the demands of some high-level tasks, dynamic SLAM can be integrated with multiple object tracking. This article presents a survey on dynamic SLAM from the perspective of feature choices. A discussion of the advantages and disadvantages of different visual features is provided in this article.

scholarly journals Distributed Simulation Platforms and Data Passing Tools for Natural Hazards Engineering: Reviews, Limitations, and Recommendations

2021 ◽  
Author(s):  
Lichao Xu ◽  
Szu-Yun Lin ◽  
Andrew W. Hlynka ◽  
Hao Lu ◽  
Vineet R. Kamat ◽  
...  
Keyword(s):  
Natural Hazards ◽  
Data Exchange ◽  
Distributed Simulation ◽  
Distributed Data ◽  
Interactive Simulation ◽  
Integrated Simulation ◽  
Domain Specific ◽  
Advantages And Disadvantages ◽  
High Level ◽  
Data Passing

AbstractThere has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards, such as the interactions and coupled effects between civil infrastructure systems response, human behavior, and social policies, for improved community resilience. Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process. This can be implemented by means of distributed simulation platforms or data passing tools. In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards, this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields. With this aim, the article provides a comprehensive review of the most commonly used generic distributed simulation platforms (Distributed Interactive Simulation (DIS), High Level Architecture (HLA), Test and Training Enabling Architecture (TENA), and Distributed Data Services (DDS)) and data passing tools (Robot Operation System (ROS) and Lightweight Communication and Marshalling (LCM)) and compares their advantages and disadvantages. Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation. For mitigating the identified limitations, two platform design recommendations are provided, namely message exchange wrappers and hybrid communication, to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework.

Analysis of the state of the migration process of the ukrainian population in the context of domestic and international levels

2021 ◽  
Vol 72 (5) ◽  
pp. 110-118
Author(s):  
M. Shkurat ◽  
K. Pavlotska
Keyword(s):  
Social Protection ◽  
Negative Impact ◽  
Migration Policy ◽  
Cash Flows ◽  
The State ◽  
Negative Consequences ◽  
Migration Process ◽  
State Of The Economy ◽  
Migration Flows ◽  
High Level

Analysis of the migration process of the Ukrainian population, which takes place within the state and at the international level during 2014–2019 is carried out in this paper. On the basis of scientific works of domestic scientists and institutes the problems which have not been investigated, and also aspects which have been solved partially are defined. The negative consequences of the Ukrainian migration process on the state of the country are identified. The classification of migration flows of the Ukrainian population according to the reasons of movement is carried out. The main regions and countries which, as of the beginning of 2021, are more attractive to compatriots and are characterized by significant influxes of Ukrainians are identified. The main centers of departure – regions and countries – which are characterized by high level of outflow of Ukrainians are determined, the main problems and reasons that motivate the outflow of Ukrainians are highlighted in this paper. The level of growth of the Ukrainian population in terms of migration flows is defined. The investigation of Ukrainian diasporas, territorial location and analysis of their share in comparison is carried out. The main factors that force the Ukrainian population to move, which affects the demographic situation in Ukraine, the level of employment, as well as the amount of cash flows to the country and the state of the economy as a whole are identified. The main regulations and identified solutions to the migration flows of the domestic population, which were approved and implemented in the period from 2001 to 2019 are compared in this paper. On the basis of current and newly introduced strategies, critical analysis of the ways of regulating the migration process of the Ukrainian population is carried out, the main aspects and problems of the implemented migration policy of Ukraine are determined. The results of the work are to identify the main ways to reduce the negative impact of the migration process on the country's economy and related processes, and strategies to benefit from the movement of citizens of Ukraine, namely: introduction of intellectual security, revision of wages by region, stimulating the process of attracting technology in all spheres of activity and formation of the social protection system.

scholarly journals International Financial Reporting Standards and Orientation of Vietnam: “Roadmap & International Experience”

2018 ◽  
Vol 7 (4) ◽  
pp. 167
Author(s):  
Ha Thi Thuy Van ◽  
Vu Thi Kim Anh ◽  
Nguyen Dang Huy
Keyword(s):  
Financial Reporting ◽  
Accounting Standards ◽  
Asia Pacific ◽  
International Financial Reporting Standards ◽  
International Accounting ◽  
International Accounting Standards ◽  
Reporting Standards ◽  
Financial Reporting Standards ◽  
Advantages And Disadvantages ◽  
The World

Currently, the Ministry of Finance is implementing Decision 480/QD-TTG dated 03/18/2013 of The Prime Minister on approving the Strategy Accounting - Audit 2020, Vision 2030 and implementing the Resolution 35/NQ-CP of the Government dated 16.05.2016 related to the support and development of enterprises by 2020. Accordingly, the development and improvement the legal framework of Financial Reporting standards in Vietnam is one of the key tasks and urgent needs to be developed to meet the requirements of the economy in the period of integration. The system of International Accounting Standards, including the International Accounting Standards (IAS) and the standards of international financial reporting (IFRS) was issued, adjusted, updated and replaced by The International Accounting Standards Board. International Accounting Standards is an important condition to ensure that companies and organizations around the world can apply uniform accounting principles in the work of preparing and presenting financial statements. Currently, many countries around the world such as USA, Japan and European countries, Asia Pacific are approaching IFRS convergence trend. In the trend of globalization of accounting, Vietnam will not be outside the process of integration with the system of International Financial Reporting Standards. This article will review the process of formation and development of IFRS, the IFRS trends and the advantages and disadvantages of applying IFRS in Vietnam. 

Numerical Simulations of Ocean Drilling System Behavior With a Surface or a Subsea BOP in Waves and Current

2008 ◽  
Author(s):  
Celso K. Morooka ◽  
Raphael I. Tsukada ◽  
Dustin M. Brandt
Keyword(s):  
System Behavior ◽  
Traditional System ◽  
Drilling Rig ◽  
Advantages And Disadvantages ◽  
Ocean Drilling ◽  
Sea Bottom ◽  
Drilling System ◽  
Drilling Rigs ◽  
High Level ◽  
Drilling Bit

Subsea equipment such as the drilling riser and the subsea Blow-Out Preventer (BOP) are mandatory in traditional systems used in deep sea drilling for ocean floor research and petroleum wellbore construction. The drilling riser is the vertical steel pipe that transfers and guides the drill column and attached drilling bit into a wellbore at the sea bottom. The BOP is used to protect the wellbore against uncontrolled well pressures during the offshore drilling operation. Presently, there is a high level of drilling activity worldwide and in particular in deeper and ultra-deeper waters. This shift in depth necessitates not only faster drilling systems but drilling rigs upgraded with a capacity to drill in the deep water. In this scenario, two general drilling systems are today considered as alternatives: the traditional system with the subsea BOP and the alternate system with the surface BOP. In the present paper, the two systems are initially described in detail, and a numerical simulation in time domain to estimate the system behavior is presented. Simulations of a floating drilling rig coupled with the subsea and surface BOP in waves and current are carried out for a comparison between the two methods. Results are shown for riser and BOP displacements. Critical riser issues for the systems are discussed, comparing results from both drilling system calculations. Conclusions are addressed showing advantages and disadvantages of each drilling system, and indicating how to correct the problems detected on each system.

scholarly journals Demographic transformation in the agglomerations of Dnipropetrovsk region

2019 ◽  
Vol 28 (1) ◽  
pp. 3-10
Author(s):  
V. V. Bezugly ◽  
Z. V. Boyko ◽  
О. V. Tsvietaieva
Keyword(s):  
Reproductive Age ◽  
Low Fertility ◽  
The European Union ◽  
Negative Consequences ◽  
Continuous Change ◽  
Urban Agglomerations ◽  
Active Population ◽  
Labour Potential ◽  
Negative Balance ◽  
High Level

This article examines the demographic situation in Dnipropetrovsk region and identifies the main demographic problems of the region , among which the most important are low fertility, reduced family size, high divorce rates and unregistered marriages, contimuing aging of the population, increased gender disproportion among the population, intra-regional and especially modern external migrations of the population, etc. The Dnipropetrovsk settlement system includes four industrial agglomerations: Dniprovsky-Kamianske, Kryvyi Rih, Nikopol and Pavlohrad, where more than 83.5% of the region’s population lives , indicating a high level of urbanization of the territory. It was found that the dynamics of the population of the urban agglomerations of the Dnipropetrovsk region over the past 20 years has a tendency to progressive reduction: if in 1997 the size of the existing population amounted to 3,888.8 thousand people, in 2017it amounted to 3,227.5 thousand people. It is stated that the natural replenishment of the population provides a continuous change of generations, creating the quantitative boundaries of labour resources of urban agglomerations of Dnipropetrovsk region. The current state of migration processes in the agglomerations of Dnipropetrovsk region is caused by socio-economic and political problems. This has led to an increase in labour out-migration, which now has already become catastrophic, not only in the Dnipropetrovsk region, but throughout Ukraine. Negative consequences of this are the depopulation of cities and areas of agglomerations, the outflow of high quality labour potential (and in particular qualified labour), the collapse of families, rise in crime and corruption, etc. In general, it is established that the demographic aspect, due to natural and mechanical movements, has become a determining factor inthe formation of the labour resource situation and affects not only the process of replenishmnent itself, but also the structure of the economically active population. We present the general demographic features of the population's reproduction, in the urban agglomerations of Dnipropetrovsk region from 1997 to 2017; a decrease in the total population, a negative natural population growth (mortality rates will prevail over birth rates), aging of the population, which is reflected in an increase in the number of people aged 70, disproportion in the sexual structure of the population (prevalence of women), negative balance of migration and continuous outflow of inhabitants of reproductive age, especially to the countries of the European Union.

scholarly journals Determinants of COVID-19 Vaccine Acceptance in Six Lower- and Middle-Income Countries

2021 ◽  
Author(s):  
Adugna Kebede ◽  
Robert Kanwagi ◽  
Asrat Dibaba Tolossa ◽  
Md Abul Kalam ◽  
Thomas Davis ◽  
...  
Keyword(s):  
Perceived Risk ◽  
P Value ◽  
Negative Consequences ◽  
Vaccine Acceptance ◽  
Middle Income ◽  
Perceived Safety ◽  
Middle Income Countries ◽  
Advantages And Disadvantages ◽  
Vaccine Refusal ◽  
Behavioural Determinants

Abstract Background: While a vaccine is the only clinical preventive measure to control the infection and mortality caused by SARS-CoV-2 (COVID-19), delayed acceptance or refusal of COVID-19 vaccines may increase and prolong the threat to global public health and the economy. Identifying behavioural determinants is considered a critical step in explaining and addressing the barriers of vaccine refusal, but there is a lack of evidence around COVID-19 vaccine refusal and delay from a behavioural perspective. This study aims to identify the behavioural determinants of COVID-19 vaccine acceptance and provide recommendations to design actionable interventions to increase the uptake of the COVID-19 vaccine in six lower-and-middle income countries. Methods: Taking into consideration the Health Belief Model (HBM), Theory of Reasoned Action (TRA), and other behavioural models, a Barrier Analysis (BA) approach was employed to examine twelve potential behavioural determinants of vaccine acceptance in Bangladesh, India, Myanmar, Kenya, the Democratic Republic of Congo, and Tanzania. In all six countries, at least 45 interviews with those who intended to take the vaccine (“Acceptors”) and another 45 or more interviews with those who did not (“Non-Acceptors”) were conducted, totalling 542 interviews. Data analysis was performed to find statistically significant (a p-value of less than 0.05) differences between Acceptors and Non-acceptors and to identify which beliefs were most highly associated with acceptance and non-acceptance of the behaviour based on estimated relative risk (ERR). Results: The analysis showed that perceived social norms, perceived positive and negative consequences, perceived risk of getting COVID-19, perceived severity of COVID-19, trust in COVID-19 vaccines, perceived safety of COVID-19 vaccines, and expected access to COVID-19 vaccines had the highest association with COVID-19 vaccine acceptance in Bangladesh, Kenya, Tanzania, and DRC. Additional behavioural determinants found to be significant in both Myanmar and India were perceived self-efficacy, trust in COVID-19 information provided by leaders, perceived divine will, and perceived action efficacy of the COVID-19 vaccines. The study also identified important perceptions and beliefs around COVID-19 and its severity, advantages and disadvantages of being vaccinated, and action efficacy of the vaccine to control the spread of the virus. Conclusion: Many of the determinants found to be significant and their level of significance varied from country to country. National and local plans should include messages and activities that address the behavioural determinants found in this study in order to significantly increase the uptake of COVID-19 vaccine across these countries.

scholarly journals EXPLORING ALS AND DIM DATA FOR SEMANTIC SEGMENTATION USING CNNS

2018 ◽  
Vol XLII-1 ◽  
pp. 347-354 ◽  
Author(s):  
F. Politz ◽  
M. Sester
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Semantic Segmentation ◽  
Point Clouds ◽  
Good Alternative ◽  
Aerial Images ◽  
Learning Approaches ◽  
Advantages And Disadvantages ◽  
Sensing Applications ◽  
High Level

<p><strong>Abstract.</strong> Over the past years, the algorithms for dense image matching (DIM) to obtain point clouds from aerial images improved significantly. Consequently, DIM point clouds are now a good alternative to the established Airborne Laser Scanning (ALS) point clouds for remote sensing applications. In order to derive high-level applications such as digital terrain models or city models, each point within a point cloud must be assigned a class label. Usually, ALS and DIM are labelled with different classifiers due to their varying characteristics. In this work, we explore both point cloud types in a fully convolutional encoder-decoder network, which learns to classify ALS as well as DIM point clouds. As input, we project the point clouds onto a 2D image raster plane and calculate the minimal, average and maximal height values for each raster cell. The network then differentiates between the classes ground, non-ground, building and no data. We test our network in six training setups using only one point cloud type, both point clouds as well as several transfer-learning approaches. We quantitatively and qualitatively compare all results and discuss the advantages and disadvantages of all setups. The best network achieves an overall accuracy of 96<span class="thinspace"></span>% in an ALS and 83<span class="thinspace"></span>% in a DIM test set.</p>

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