Evolutionary Game Analysis of the Partners’ Behavior in the Rural E-Payment Market of China

The rural e-payment market in China is becoming one of the important topics in the research field because of its contribution to the efficiency of fund flows in the economy. Further development of the rural e-payment market mainly depends on its partners’ acceptance. In March 2020, 776.08 million people were using mobile payments in China. After the COVID-19 pandemic in China, the Payment and Clearing Association of China launched an action to encourage citizens to use mobile payments. In this article evolutionary game theory is presented. The benefits of e-payments between financial institutions and users are studied. Based on the analysis of the partners’ selection of costs and profits as well as other factors, important conclusions were drawn. The growth of the rural economy is beneficial to the change of the partners’ behavior in the rural e-payment market. Dynamic evolution of the partners’ behavior makes the supply and demand for rural e-payment services consistent. In order to create more benefits, financial institutions will lead the move to merge the rural e-payment market with the China National Advanced Payment System. These research results are beneficial for its growth by developing strategies to encourage more partners to take part in the rural e-payment market in China.

Impact of natural gas pricing policy for energy security and macroeconomic resilience: A literature review from global perspective

Indonesia’s government has targeted 24% of natural gas in the national energy mix by 2050. However, one of the main problems in Indonesia’s natural gas development is the price mechanism. Unlike many countries, Indonesia’s natural gas market, including its pricing, is still heavily regulated and subsidized by the government. The low natural gas price has damaged the investment climate and slowed the natural gas development in the country. An overview of the global natural gas market evolution, as well as a comprehensive analysis of natural gas market transformation from China and Malaysia, were presented in this paper. The wider gap between supply and demand of natural gas and the increase of the LNG market in Asia have pushed China and Malaysia to reform their natural gas market into a liberalized system. This provides an insight to examine Indonesia’s natural gas pricing policies. The highly regulated market often fails to provide the actual cost of supply, leads to underinvestment, and causes a natural gas shortage in a country. Natural gas pricing policy transformation is mandatory to ensure supply stability and keep up with the global natural gas market dynamic. The transformation should be implemented gradually to give natural gas producers and end-users enough time to adjust to the regulations. In the end, gas-to-gas competition should be set as the long-term goal to allow retail competition in Indonesia’s natural gas market.

Synergized Network Asset: A Driver for Indonesia’s Furniture Industries to Elevate Marketing Performance

The main focus of this study is developing synergized network asset as a mediator variable for improving marketing performance. The research model was tested using AMOS SEM on 280 local market-oriented furniture makers. The output of the statistical analysis confirms that two buffer variables, namely relational capability and market dynamic adaptability, sustain synergized network asset and marketing performance. However, synergized network asset does not play a strong mediation role in increasing marketing performance. The slow-growing furniture industry is in greater need of responsive rather than synergistic cooperation. The concept of synergized network asset, which is characterized by the sustainability of collaboration quality, contributes to the development of business network theory as one of the main factors in marketing relationships.

ONLINE PURCHASING PLATFORM USING CROWD SOURCING WITH IMPROVISATION OF CLASSIFICATION ACCURACY

Crowd-sourcing is a prototype where persons cum organisations acquire facts such as ideas, micro-tasks, financial, vote casting associated to items and offerings from individuals of large, open and rapidly-evolving nature. It entails utilization of web acquired and distribute work between members to get a collective result. The software of classification tasks in crowd-sourcing is a counter step due to the inclined reputation of crowd-sourcing market. Dynamic Label Acquisition and Answer Aggregation (DLTA) crowd-sourcing framework accomplishes the classification assignment in a promising manner. But most of the current works are now not in a position to supply an budget allocation for labels due to the fact they do not make the most the Label inference and acquisition phase. In addition, label mismatch and multi-label tasks are the different issues encountered in the current works. To overcome, it is proposed to undertake Random Forest Algorithm (RFA) for classification in crowd-sourcing. The goal of this work is to enhance the crowd-sourcing classification task efficiency with Dynamic Resource Algorithm. RFA is activated by means of developing a multitude of decision tree at training time and consequences with the training and it applies a bagging approach to produce the last end result with more accuracy.

An Investigation into Dynamic Conditional Correlation of Pakistan Stock Market with its Trade Partners – Under Covid-19 Perspective

This study investigates the financial linkage of Pakistan stock market with those of its three major trade partners i.e., China, UK and USA and the impact of ongoing global health crisis (Covid-19) on this linkage. A Dynamic Conditional Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH) approach was used to calculate dynamic correlation coefficient between the countries’ stock markets by using the daily price data of MSCI indices spanning the period 1st January 2016 to 31 December 2019 (Pre COVID-19 period) and 1st January 2020 to 30th June 2020 (COVID-19 period). The empirical results of the study highlighted that the integration of Pakistan stock market with the sampled countries was relatively low before the COVID 19 pandemic – which indicated a positive sign for market participants to diversify their portfolios. However, after the pandemic breakout, the correlation among stock markets increased substantially, indicating the significant role played by the shock events in the transmission of financial contagion between different stock markets. Keywords: Stock Market, Dynamic Conditions, Covid-19, Pakistan.

MACROECONOMIC ANALYSIS OF THE SECURITIES MARKET OF THE REPUBLIC OF ARMENIA

The article deals with the problems of the development of the securities market of the Republic of Armenia. The main changes that have occurred in recent years in the securities market in the Republic of Armenia have been investigated. Methods for analyzing the securities market of the Republic of Armenia are proposed. The indicators of the securities market are considered and the main trends of its development are revealed. This article presents the structure of the securities market of the Republic of Armenia in terms of trading volume. We chose the macroeconomic analysis as a method of our research, as it constitutes an integral element for the fundamental analysis of the securities market. With the help of the macroeconomic analysis an investor effects vigilance and analyses of the basic economic indicators; thus he also defines the extent of their influence on the securities market dynamic. It is the macroeconomic analysis that provides investors with the possibility to define which element of the financial market (securities, currency, credit) is currently the most profitable and attractive for to invest into.

Data to Analytics to Insight

Continual feedback to adapt to external regulatory and competitive environment is essential in today's complex healthcare landscape, and hospital leadership needs to transform its strategic planning process to reflect the market dynamic. Digital artifacts such as performance dashboard track operational data and transform these into key performance indicators (KPIs) to set organizational goals and align unit level operations. However, the velocity of change occurring in the marketplace needs a dynamic approach: a real-time aggregation of operational data into KPIs for a daily or weekly review to gain insights and respond quickly to evolving market expectations. This chapter discusses how an rtDashboard (real time dashboard) has evolved to become a key artifact that transformed the way a hospital in SE Michigan engaged in its strategic planning process.

Development of Enterprise Export Potential in the European FMCG Market in Terms of Risks

The article analyzes the basic concepts and principles of enterprises functioning in the FMCG market. Given that this market suggests quick return goods and consumer goods, which are characterized by high demand and frequency of purchase, the article presents the basic patterns of the market dynamic development. The principles of food industry enterprises activity have been considered, taking them as an integral part of the FMCG market. The peculiarities of dairy products export have been studied, taking into account modern economic processes in Ukraine and the reorientation of its export flows from the CIS to EU states. The authors have come to conclusion that carrying out export activity directly depends on the export potential. The article also analyzes the risks associated with the difference between international and domestic norms and regulations stated in the export legislation and legislation on the quality of perishable dairy products, which may be faced by companies already exporting dairy products to the EU market or just planning to enter this promising foreign market. We have assessed the attempt to increase the competitiveness of Ukrainian products through raising their quality and bringing it in accordance with international standards. The determinants dominating in the export activity of the FMCG businesses in the EU market have been identified, taking into account the potential risks. It has been proved that in order to increase the export potential of enterprises working in the FMCG-market in the conditions of systemic risks caused by business environment, a promising area of research may consist in improving the institutional framework in such spheres as standardization, conformity assessment and market surveillance by integrating Ukrainian institutions into European and international structures.