Security investment and information sharing for complementary firms with heterogeneous monetary loss

Two complementary firms＇ information sharing and security investment are investigated. When two complementary firms with heterogeneous assets are both breached, it is assumed that they suffer different losses which are associated with their information assets. Some insights about optimal strategies for the firms and the attacker are obtained by the game theory, which forms a comparison with those derived from substitutable firms, and those derived from complementary firms with homogenous loss. In addition, both the unit transform cost of investment and the extent of firms＇loss affect the optimal strategies.Assuming that firms can control information sharing, security investments and both of them, respectively, the effect of the social planner is further analyzed on the information sharing, firms＇ aggregate defence, the aggregate attack and social total cost. Finally, some policy advice is provided through numerical simulation. Results show that firms are willing to choose security investment centrally rather than individually, but an intervention in information sharing by the social planner may not necessarily be preferable.

Risk assessment of oil and gas investment environment in countries along the Belt and Road Initiative

With the implementation of the Belt and Road Initiative, China is deepening its cooperation in oil and gas resources with countries along the Initiative. In order to better mitigate risks and enhance the safety of investments, it is of significant importance to research the oil and gas investment environment in these countries for China's overseas investment macro-layout. This paper proposes an indicator system including 27 indicators from 6 dimensions. On this basis, game theory models combined with global entropy method and analytic hierarchy process are applied to determine the combined weights, and the TOPSIS-GRA model is utilized to assess the risks of oil and gas investment in 76 countries along the Initiative from 2014 to 2021. Finally, the GM(1,1) model is employed to predict risk values for 2022-2025. In conclusion, oil and gas resources and political factors have the greatest impact on investment environment risk, and 12 countries with greater investment potential are selected through cluster analysis in conjunction with the predicted results. The research findings may provide scientific decisionmaking recommendations for the Chinese government and oil enterprises to strengthen oil and gas investment cooperation with countries along the Belt and Road Initiative.

‘Partly'globalized networks and driving mechanism in resource-based state-owned enterprises:A case study of J Group

In the context of economic globalization,while multinational enterprises from developed countries occupy a high-end position in the global value chain,enterprises from developing countries are often marginalized in the world market.In China,resource-based state-owned enterprises(SOEs)are tasked with the mission of safeguarding resource security,and their internationalization development ideas and strategic deployment are significantly and fundamentally different from those of other non-state-owned enterprises and large multinational corporations.This study provides ideas for the globalization policies of enterprises in developing countries.We consider J Group in western China as a case and discuss its productive investment and global production network development from 2010 to 2019.We found that J Group was‘Partly'globalized,and there are multiple core nodes with the characteristics of centralized and decentralized coexistence in the production network;in addition,the overall layout centre shifted to Southeast Asia and China;however,its global production was restricted by the enterprise's investment security considerations,support and restrictions of the home country,political security risk of the host country,and sanctions from the West.These findings provide insights for future research:under the wave of anti-globalization and'internal circulation as the main body',resource SOEs should consider the potential risk of investment,especially keeping the middle and downstream industrial chain in China as much as possible.

How R&D investment promotes green technology innovation in the context of digitalization?-An empirical analysis based on provincial panel data

Green technology innovation is an important driving force and source to promote my country’s high-quality development,and it is the core path to achieve sustainable development.This paper uses my country’s provincial panel data from 2016 to 2019 to study the impact mechanism of R&D investment on green technology innovation,and introduces the level of digitization,using the panel threshold model to discuss its role in the impact mechanism of R&D investment on green technology innovation.The study found that when the level of digitalization in a region is low,increasing R&D investment does not necessarily improve the ability of green technology innovation;when the level of digitalization is relatively high,R&D investment has a positive role in promoting green technology innovation.Therefore,it is necessary to improve policies to encourage enterprises to increase investment in research and development;at the same time,it is necessary to promote the coordinated development of digital foundation,digital investment,digital literacy,digital economy and digital application,and promote the deep integration of digitalization and green technology innovation.

Microstructure and mechanical properties of Co-28Cr-6Mo-0.22C investment castings by current solution treatment

This study examined the impact of current solution treatment on the microstructure and mechanical properties of the Co-28Cr-6Mo-0.22C alloy investment castings.The findings reveal that the current solution treatment significantly promotes the dissolution of carbides at a lower temperature.The optimal conditions for solution treatment are determined as a solution temperature of 1,125°C and a holding time of 5.0 min.Under these parameters,the size and volume fraction of precipitated phases in the investment castings are measured as6.2μm and 1.1vol.%.The yield strength,ultimate tensile strength,and total elongation of the Co-28Cr-6Mo-0.22C investment castings are 535 MPa,760 MPa,and 12.6%,respectively.These values exceed those obtained with the conventional solution treatment at 1,200°C for 4.0 h.The findings suggest a phase transformation of M_(23)C_(6)→σ+C following the current solution treatment at 1,125°C for 5.0 min.In comparison,the traditional solution treatment at 1,200°C for 4.0 h leads to the formation of M_(23)C_(6)and M_(6)C carbides.It is noteworthy that the non-thermal effect of the current during the solution treatment modifies the free energy of both the matrix and precipitation phase.This modification lowers the phase transition temperature of the M_(23)C_(6)→σ+C reaction,thereby facilitating the dissolution of carbides.As a result,the current solution treatment approach achieves carbide dissolution at a lower temperature and within a significantly shorter time when compared to the traditional solution treatment methods.

Impact of the carbon market on investment benefits of power-grid enterprises in China: a system dynamics analysis

The power grid,as the hub connecting the power supply and consumption sides,plays an important role in achieving carbon neutrality in China.In emerging carbon markets,assessing the investment benefits of power-grid enterprises is essential.Thus,studying the impact of the carbon market on the investment and operation of powergrid enterprises is key to ensuring their efficient operation.Notably,few studies have examined the interaction between the carbon and electricity markets using system dynamics models,highlighting a research gap in this area.This study investigates the impact of the carbon market on the investment of power-grid enterprises using a novel evaluation system based on a system dynamics model that considers carbon-emissions from an established carbon-emission accounting model.First,an index system for benefit evaluation was constructed from six aspects:financing ability,economic benefit,reliability,social responsibility,user satisfaction,and carbon-emissions.A system dynamics model was then developed to reflect the causal feedback relationship between the impact of the carbon market on the investment and operation of power-grid enterprises.The simulation results of a provincial power-grid enterprise analyze comprehensive investment evaluation benefits over a 10-year period and the impact of carbon emissions on the investment and operation of power-grid enterprises.This study provides guidelines for the benign development of power-grid enterprises within the context of the carbon market.

By Deepening Regional Cooperation,the CCPIT Serve as a Bridge for Foreign Investment

On June 28,t he China Council for the Promotion of International Trade(CCPIT)held its regular monthly press conference in Beijing.Spokesperson Zhao Ping introduced China’s latest progress and policy trends in terms of attracting foreign investment,regional cooperation and supporting Chinese brands at the meeting.

China’s Unprecedented Focus on Foreign Investment

The Communique of the Third Plenary Session of the 20th Central Committee of the Communist Party of China(CPC),which has just been concluded,mentions that it is necessary to steadily expand institutional opening-up,deepen foreign trade structural reform,further reform the management systems for inward and outward investment,improve planning for regional opening up,and refine the mechanisms for high-quality cooperation under the Belt and Road Initiative.

A new vacuum-assisted low-pressure investment casting process for K446 alloy

Non-metallic inclusions and zyglo indications frequently occur in the superalloy castings produced through the traditional vacuum gravity investment casting process,particularly in components with thin-walled and complex structural features.The vacuum-assisted low-pressure casting(VLC),a type of counter-gravity casting(CGC)method,has been developed to minimize non-metallic inclusions and zyglo indications in superalloy castings.Rectifying frames for gas turbines made from K446 alloy were produced semi-continuously using the VLC process and subsequently evaluated through tensile testing,chemical composition analysis,X-ray diffraction,and zyglo penetrant inspection.The results indicate a roughly 10%improvement in tensile strength at 800℃ compared to gravity casting.Moreover,no significant changes are observed in the chemical composition of the alloys from the beginning to the end of a casting campaign,indicating that the developed VLC process is viable for the engineering-scale production of superalloy castings.Compared to traditional vacuum gravity casting(GC)method,the application of VLC can reduce the numbers of non-metallic inclusions and Zyglo indications in the castings by over 80%.At the same time,it significantly shortens the production time by 3 to 5 days.

Agricultural Investment Project Decisions Based on an Interactive Preference Disaggregation Model Considering Inconsistency

Agricultural investment project selection is a complex multi-criteria decision-making problem,as agricultural projects are easily influenced by various risk factors,and the evaluation information provided by decisionmakers usually involves uncertainty and inconsistency.Existing literature primarily employed direct preference elicitation methods to address such issues,necessitating a great cognitive effort on the part of decision-makers during evaluation,specifically,determining the weights of criteria.In this study,we propose an indirect preference elicitation method,known as a preference disaggregation method,to learn decision-maker preference models fromdecision examples.To enhance evaluation ease,decision-makers merely need to compare pairs of alternatives with which they are familiar,also known as reference alternatives.Probabilistic linguistic preference relations are employed to account for the presence of incomplete and uncertain information in such pairwise comparisons.To address the inconsistency among a group of decision-makers,we develop a pair of 0-1mixed integer programming models that consider both the semantics of linguistic terms and the belief degrees of decision-makers.Finally,we conduct a case study and comparative analysis.Results reveal the effectiveness of the proposed model in solving agricultural investment project selection problems with uncertain and inconsistent decision information.

Research on the Influence of Government R&D Funding and Enterprise R&D Investment on the Innovation Efficiency of Pharmaceutical Industry

Objective To study the effect of government R&D funding and enterprise R&D input on innovation efficiency of China’s pharmaceutical industry.Methods Based on the inter-provincial panel data of China’s pharmaceutical industry from 2009 to 2019,the stochastic frontier analysis method was used to study the influence of government R&D funding and enterprise R&D input on the innovation efficiency.Results and Conclusion With 1%increase in government R&D funding,the innovation efficiency of enterprises will increase by 0.122%.When R&D investment increases by 1%,innovation efficiency will increase by 0.169%.Both government R&D funding and enterprise R&D investment promote the innovation efficiency of pharmaceutical enterprises,but the increase of enterprise R&D investment contributes more to the improvement of pharmaceutical innovation efficiency.

Research on the Threshold Effect of China’s Pharmaceutical Export Trade on Internal and External R&D Investment

Objective To study the threshold effect of export trade on internal and external R&D investment in China’s pharmaceutical industry,and to provide reference for some pharmaceutical enterprises to improve the investment.Methods The panel data of pharmaceutical industry in 25 provinces and cities in China from 2009 to 2019 were selected to conduct empirical analysis by establishing a threshold regression model,and a better export trade interval was obtained.Results and Conclusion There is a threshold value for the effect of new product export on both internal and external R&D expenditures,and the threshold values are 845.2788 million yuan and 318.4198 million yuan,respectively.There is a single threshold effect of export trade on both internal and external R&D investment in China’s pharmaceutical industry,and the effect of export trade on internal and external R&D investment changes from negative to positive as the export trade develops from low to high.

Chinese Enterprises’ Investment in Southeast Asia Continues Unabated

As we all know,Southeast Asia has become a hot destination for Chinese enterprises to invest in.The latest report shows that Southeast Asia continues to attract China’s capital,within which the medical industry has become an important area for Chinese enterprises to invest in,and the investment activity has gradually warmed up despite fluctuations.

How to Further Attract and Stabilize Foreign Investment

During the Two Sessions,how to attract foreign investment to China and how to further optimize the business environment for foreign investment have become hot topics in the economic field.The 2024 government work report proposes increased efforts to attract foreign investment.It will continue to reduce the negative list of foreign investment access,completely lift restrictions on foreign investment accessto the manufacturing industry.

Renewing Chinese Investment in Indonesia’s Energy Sector

On April 1,the China RE Invest Indonesia 2024,a symposium cohosted by the Embassy of the Republic of Indonesia in China,the Southeast Strategics(a business and investment research and advisory institute),and the Center for Strategic and International Studies(CSIS)Indonesia,took place in Beijing.Representatives from renewable energy investment companies,equipment manufacturers,financial institutions,government departments,renewable energy-related enterprises.

National Social Investment Programmes in Nigeria:A Descriptive Analysis of the Socio-Economic Contributions of N-Power Programme in Benue State

This study analysed the socio-economic contributions of N-Power programme amongst the beneficiaries of the scheme in Benue State.Prior to the introduction of N-Power programme,successive administrations in Nigeria have made concerted efforts towards improving the standard of living of the citizenry through the execution of various welfare or social intervention programmes,but not much successes were recorded.Learning from the mistakes of the past regimes,and by way of deliberate state policy,the Buhari’s government initiated a multi-pronged social investment policy,one of which is the N-power programme that came onboard in 2016,which also doubles as the subject of this study.To achieve the goal of this study,a combination of desktop research and survey design was employed.Questionnaires were administered to 390 respondents through a combination of stratified and random sampling techniques.The results of the survey were matched with that of the secondary data obtained through online websites and other related sources.The result indicated that N-Power made positive contributions to the socio-economic life of the beneficiaries in Benue State:specifically,the scheme contributed in poverty eradication,employment generation,skills acquisitions and capacity building.However,some aspect of our findings revealed that the programme has a number of challenges such as:inadequate cash support,delay in monthly cash transfer to beneficiaries,distance participants had to move to their work stations,absence of posting in N-Teach scheme,and lack of adequate working tools amongst others.To salvage this problem the paper recommended the following solutions:expansion of the scheme to cover N-Teach and other aspects,increment in the monthly cash transfer to cushion the high rate of inflation,support for the participants/beneficiaries in transportation and logistics,enrolment of more youth into the various schemes,proper monitoring and evaluation of the implementation of the schemes amongst others.

Impact of geopolitical risk,GDP,inflation,interest rate,and trade openness on foreign direct investment:Evidence from five Southeast Asian countries

Historically,geopolitical risk(GPR)has posed significant challenges to international economic,social,and political frameworks.This study investigated how internal GPR in the selected five Southeast Asian countries(Indonesia,South Korea,Malaysia,the Philippines,and Thailand)influences foreign direct investment(FDI)during 1996-2019.The stationarity of the data was assessed using the Augmented Dickey-Fuller(ADF)unit root test,which shows that the data became stationary after the first difference.The Kao,Pedroni,and Westerlund cointegration tests were employed to examine long-term cointegration among the selected variables(FDI,GPR index(GPRI),gross domestic product(GDP),inflation,interest rate,and trade openness(TOP)).The results indicated that these variables have a long-term cointegration.Consequently,regression analysis using the Pooled Ordinary Least Squares(OLS)regression,fixed effect,random effect,Arellano-Bond dynamic panel-data estimation,and system generalized moment method(GMM)revealed that GPRI and TOP negatively impacted FDI in the selected five Southeast Asian countries.At the same time,GDP,inflation,and interest rate positively influenced FDI in these countries.Because FDI is crucial to shaping a country’s macroeconomic structure,this study recommends that governments and central banks of the selected five Southeast Asian countries should implement policies and strategies to encourage foreign investments.

Developments in the Turkish Economy Between 2010-2020 in Light of Monetary Policy in the 2000s

In the Turkish Economy,there were radical changes in the structure of the economy with the policies of opening up to the outside world and transition to a free market economy in the 1980s,and the last step of this opening up and liberalization process was realized with the decision number 32 in 1989.We can say that with the liberalization of capital movements in the 1990s,economic growth and development were tried to be achieved through hot money inflows rather than direct foreign investments.This trend made the economy more open to crises,and for the first time,a crisis occurred in the form of the 1994 economic crisis,which was understood to be caused by hot money.The same economic structure experienced a financial and economic crisis caused by hot money again in November 2000 and February 2001.While the crisis was overcome with the stand-by agreement made with the IMF(International Monetary Fund)and the announced Transition to a Strong Economy program,the economy started to grow rapidly with the ease of using foreign resources,and political stability seems to have enabled this economic growth process to continue uninterruptedly except 2009.There was also a decrease in inflation rates.The same economic structure continued in the period between 2010 and 2020,and the financing need of economic growth was met by outsourcing.However,this process was different from the previous decade and there was no economic and financial crisis other than the sudden increase in exchange rates in 2018.We can say that the sudden exchange rate increase in 2018 was perceived as a harbinger of possible exchange rate shocks in the following years.

Boosting Bilateral Trade and Investment

China,South Africa committed to broadening economic exchanges during South African leader’s state visit to China.The South African branch of Bank of China,in partnership with the School of Economics and Finance of the University of the Witwatersrand,launched the Chinese Investors’Confidence Index for South Africa in 2023.A first of its kind,the index reports on South Africa’s economic and investment environment based on the views and experiences of Chinese investors in South Africa.

RECURRENT NEURAL NETWORK-BASED PORTFOLIO INVESTMENT

Instead of existing methods,a recurrent neural network is conceived to deal with three stages of portfolio management.Mainly,a deterministic annealing neural network is proposed for the approach to portfolio problem,which is a kind of quadratic programming.Finally,through a real example,we verify that the neural network model proposed in this paper is a good tool to solve the portfolio problem.