Scale Of Investment Research Articles

ESG Investment Scale Allocation of China's Power Grid Company Using System Dynamics Simulation Modeling.

In recent years, with the global recognition of the concept of sustainable development, the international market attaches great importance to the Environment, Society, and Governance (ESG) investment performance of enterprises. The "carbon peaking and carbon neutrality" goal puts forward requirements for Chinese enterprises to carry out ESG investment. As a large state-owned enterprise in China, power grid companies need to take the lead in ESG investment. Based on the System Dynamics (SD) theory, this paper establishes the simulation model of ESG-responsible investment of power grid companies, including the environmental investment sub-module, social investment sub-module, and governance investment sub-module. Taking a provincial Power Grid Company as an example, the numerical simulation of ESG investment of power grid companies is carried out. The actual input-output efficiency of ESG investment of power grid companies is reflected through the mapping relationship between key indicators and investment amount, and the ESG investment scale and investment weight of the Power Company in the coming years are predicted. Compared with the traditional static analysis method, this model can provide a theoretical basis for power grid companies to carry out ESG investment decisions.

Analysis of temporal and spatial changes and influencing factors of sewage treatment rates of small towns in Chongqing

Small towns are the bridge between urban and rural areas, and their sewage treatment is the focus and problem of urban construction. With Chongqing as the research object, this study explores the influencing factors and the characteristics of temporal and spatial changes in sewage treatment rates of 756 small towns in Chongqing from 2014 to 2020 from four aspects: the overall situation, space, population, and industry. The results show that 1) the sewage treatment rates of small towns showed a certain trend of improvement since 2014 and that the polarization between small towns continued to decrease. 2) The sewage treatment rates of small towns presented a significant spatial correlation in their entirety, but the correlation weakened year by year. In 2014, the sewage treatment rates of small towns were mainly high-high clusters, while those in 2017 were mainly low-low clusters and those in 2020 were low-low clusters in a scattered manner. 3) The sewage treatment rates of small towns with a population of 40,000–60,000 and over 60,000 in 2014 were relatively high, but the gap narrowed year by year. Small towns with more than 60,000 people had the highest sewage treatment rate in 2020, but the gap between the lowest values was reduced to 11.94%. 4) In 2014, small towns with tourism as the leading industry had a significant advantage, but three types of small towns, including industrial and mining towns, were improving fast. 5) Land urbanization, the radiation effect of county towns, the investment in urban construction, population size, and leading industries all had notable driving effects on the increase in sewage treatment rates of small towns, but the impact of urban construction investment was relatively weak because it contained a large scale of real estate investment.

Empirical decomposition and peaking path of carbon emissions in resource-based areas

The pre-development of resource-based regions has led to excessive CO2 emissions and caused serious damage to the ecological environment. A crucial step in combating the problem of global climate change is encouraging resource-based regions to complete the transition to a low-carbon economy. In this study, the influence factors of carbon emissions in resource-based regions were analyzed using the Generalized Diagrammatic index model (GDIM) based on the development characteristics of resource-based economy in Liaoning Province. Furthermore, this study conducted a Monte Carlo simulation of the trajectory of carbon emission peaking based on the scenario analysis. The results show that different industries need to develop targeted emission reduction programs according to their own development characteristics. In each industry, output scale and investment carbon intensity were the primary determinants of carbon emissions, whereas output carbon intensity, investment scale, and investment efficiency were the primary limiting variables. Other variables had varying effects on carbon emissions in other industries. If the previous economic development trend and emission reduction policies are followed, Liaoning's overall carbon emissions won't peak until 2030, and there is currently intense pressure on the province to cut emissions. The carbon peak pathway in the low-carbon scenario differs from that in the technological breakthrough scenario, and only low-carbon technology innovation and breakthrough can ensure that Liaoning will meet the carbon peak target before schedule. This article is useful as a source of information for studies on low-carbon sustainable development in resource-rich areas and as a theoretical foundation for Liaoning to meet its carbon peak objective.

Balancing climate mitigation and energy security goals amid converging global energy crises: The role of green investments

Global energy markets are experiencing an unprecedented confluence of events that are driving up gas prices and bringing energy security to the forefront, adding further complexity to already uncertain prospects following global economic recovery from COVID-19. This article examines the factors that have led to the current surge in natural gas prices and the role of green investment in enhancing energy security and accelerating the transition pace for a sustainable world. It also discusses the potential short- and long-term implications of ongoing spikes in energy prices on global energy transition. The analysis highlights that while renewables could provide a promising solution to enhance energy security, the current energy crisis has revealed that the current scale of renewable energy investments is not ready to address ongoing energy needs, forcing countries to re-unlock further hydrocarbon fuel sources such as coal, putting global energy transition on hold. The paper concludes with policy recommendations that enable unlocking clean energy investments amid a strained geopolitical context.

Changing Mechanism of the National Security Review for Foreign Investment – A Perspective from the Foreign Investment Risk Review Modernization Act

As the host country with the largest capital inflow, the United States has always been highly concerned about its foreign investment access and review policy. Facing the uncertainty of Sino-US trade friction development, China must also pay close attention to the United States' foreign investment national security review policy. The Foreign Investment Risk Review Modernization Act (FIRRMA), signed into law in 2018, expanded the scope and revamped the process of CFIUS 'review of foreign investment and is bound to introduce even more changes to the national security review of foreign investment in the United States. Against the background of the rapid increase in the scale of Chinese outbound investment, the strict national security review by the Committee on Foreign Investment in the United States (CFIUS) conducted by Chinese-funded enterprises especially those based in the digital economy for their acquisitions of U.S. companies in recent years. The article discusses the new trends and new ideas in the national security review of foreign investment in the United States as well as the effective responses of Chinese-funded enterprises in light of the signing and implementation of FIRRMA.

Study on the Calculation Method of Typical Distribution Network Engineering Works in Xinjiang

At present, the investment focus of the power grid is from the main network to the distribution network, and the distribution network engineering projects, as an important means to improve the security and stability level of the power grid, the power grid transmission capacity, the equipment health level and reduce the power supply energy consumption, is also a necessary guarantee for the power grid companies to improve the economic benefits, social benefits, and achieve sustainable development. With the continuous improvement of the investment scale of the distribution network, there are still prominent problems, such as insufficient precision of the distribution network cost control and extensive management. Based on the current situation of management and control and the actual situation of typical distribution network project construction, this paper puts forward a calculation method based on the reasonable range of engineering quantity of Chebyshev inequality, which can provide a reference for the subsequent construction of similar projects, and further improve the standardization and standardization level of the company’s distribution network project cost management.

The Efficiency of Energy Infrastructure Investment and Its Regional Economic Impact.

This study constructed an input-output and environmental indicator combination framework to evaluate the efficiency of energy infrastructure investment. Furthermore, the study used a three-stage DEA model to evaluate the efficiency of energy infrastructure investment projects in Jiangsu Province. Subsequently, the study constructed a system of indicators to measure regional economic development and assigns weights to them using the entropy value method, to obtain a comprehensive regional economic development score. Finally, this study analyzed the impact of energy investment efficiency on regional economic growth, economic stability, and industrial structure optimization. The study results show that the efficiency of energy infrastructure investment varies widely across Jiangsu and is highly correlated with the regional economic development model, the level of economic development, and the importance of the industry. The study also reveals that the improvement of energy infrastructure investment efficiency in Jiangsu fails to reflect the level of regional economic development; however, it has a crucial role in increasing social wealth and transforming the regional industrial structure and economy. Based on these results, this study further proposes countermeasures, such as planning a reasonable scale of investment, implementing differentiated regional investment, and upgrading management and technology.

Analysis of the current scale of Chinese direct investment in the Russian economy

Analysis of the current scale of Chinese direct investment in the Russian economy

Can Digital Inclusive Finance Improve the Financial Performance of SMEs?

Our paper takes the sample of listed companies from Shanghai and Shenzhen A-share SMEs and then theoretically analyzes and empirically tests the impact of digital inclusive finance on the financial performance of SMEs. The results show that financial performance of SMEs located in areas with a higher level of digital inclusive finance is significantly higher. Digital inclusive finance can play a role in expanding the scale of innovative investment, reducing the cost of debt financing and improving the ability of risk-taking, thereby strengthening the financial performance of SMEs. Our findings enrich the academic research on the topic of digital inclusive finance from the perspective of SMEs and provide suggestions to the government, banks and SMEs to continually implement the digital inclusive finance policy.

A novel investment strategy for renewable-dominated power distribution networks

Aiming at the problem of insufficient adaptability to the new elements of the new power system in the current distribution network investment method, this paper innovatively proposes a distribution network investment method based on the new power system. By constructing a source-grid-load-storage-side investment calculation model, the investment in the new power system can be accurately calculated. First, the distributed power investment is calculated from the two aspects of new construction and renovation. Secondly, construct the grid investment demand and grid investment capacity measurement model, and obtain the grid side investment model by weighted summation. Then, a model for calculating the scale of investment that can be saved due to demand-side response is constructed, and the cost of demand response is subtracted to obtain a model for calculating the scale of investment that can be saved on the load side. Finally, the energy storage side investment calculation model is constructed from the power supply side, grid side, user-side energy storage investment, and energy storage investment benefit. The research results are applied to the empirical area, and scientific guidance is provided to realize the precise investment in the area.

O impacto do desenvolvimento agrícola na eficiência agro-ecológica da China: evidência sob a perspectiva de escala e estrutura

ABSTRACT: Promoting the agricultural sustainable development is one of the core objectives of agricultural comprehensive development (ACD), and the core of agricultural sustainable development lies in enhancing agro-ecological efficiency (AEE). Based on inter-provincial panel data from 2003-2017, the AEE was measured by a unexpected super-efficient SBM model. From the perspective of investment scale and investment structure, the impact of investment scale in ACD on AEE was examined using a panel econometric model, then characterizing the investment structure by the proportion of government funds in the investment of ACD, examining the non-linear relationship between investment structure of ACD and AEE seeking a reasonable proportion of government expenditure. Finally, a spatial econometric model was constructed to test the spatial spillover effect of the scale and structure of investment in ACD on AEE. Results showed that: (i) AEE of China is on the rise overall, but the efficiency level is still low and there is large scope for improvement. (ii) Due to the inefficient use of funds and the lag in the transformation of agricultural benefits, the scale of investment in ACD has a significant negative impact on AEE in the current period. (iii) The impact of investment structure of ACD on AEE presents a significant “inverted N” relationship, and the optimal proportion of government fund investment structure is 76.71%. The reasonable structure of investment in ACD at different food functional areas shows differences. (iv) After considering the spatial effect, the impact of ACD remains robust, but the spatial spillover effect prolongs the time lag of this impact of investment scale and starts to have a positive impact in the 2nd year after the investment. Guarantee the investment scale in ACD, reduce financial redundancy, establish a cooperation mechanism between ACD and agricultural ecological protection in neighboring areas, and increase the introduction of private capital can achieve sustainable development of agricultural economy.

A Method for Classifying Residential Prices in Apartment Complex Using Computer Simulation Analysis: A Case Study

The price fluctuation of the real estate market has become an important factor affecting the stability of the national macro-economy. In the history of the worldwide financial crisis, there have been many times related to the real estate market. China's real estate industry occupies a pivotal position in the national economy, and entered a rapid development period in 2000, gradually becoming a pillar industry of the national economy. It ushered in the process of rapid expansion, with investment scale, construction scale, transaction scale and transaction price rising. From the perspective of noise and landscape, this paper discusses the possibility of applying landscape analysis to the price and pricing of apartment complexes. The noise, landscape and sunlight are analyzed based on the landscape analysis (including the point and line through the view analysis, and the line of sight analysis) to provide a basis for the unit price classification of the area.

Analysis of the Impact of FDI on Economic Growth Based on Cobb-Douglas Production Function

Since the reform and opening up, the scale of foreign direct investment (FDI) in China has been expanding, and along with the expansion of FDI, China's economic growth has become more and more favorable. In order to explore the effect of FDI on China's economic growth, this paper uses the time series data from 2000-2021, through ADF smoothness test, co-integration test, and also based on Cobb-Douglas production function to establish a regression model to analyze the effect of economic growth brought by FDI, and add other factors affecting economic growth, comprehensive analysis of foreign direct investment on economic growth. Then, we analyze the causal relationship between economic growth and FDI through Granger causality test. Finally, based on the empirical results, suggestions are given on how to make FDI better promote economic growth.

LEVIATHAN WAKES: THE EMERGENCE OF EL PILAR AS A MAJOR CENTER AT THE ONSET OF THE LATE PRECLASSIC

The scale and extent of monumental construction at El Pilar – over 150 hectares spread across two kilometers – attest to its position as a dominant Classic-period center in the upper Belize River area. Like several nearby sites in the Belize Valley, El Pilar was founded in the early Middle Preclassic as the focus of a burgeoning agricultural community. Major architectural expansion at El Pilar accompanied population growth across the area during the transition from Middle to Late Preclassic times. This paper explores the transformation of El Pilar from village ceremonial center to political capital at the onset of the Late Preclassic. New radiocarbon dates, stratigraphic reconstructions, and ceramic analyses reveal the massive scale of architectural investment in the ceremonial core of El Pilar – Plaza Copal – during this important transitional phase. We discuss these new data and their implications for understanding the increasingly complex sociopolitical landscape of the Late Preclassic upper Belize River area. The scale of this construction boom at El Pilar demonstrates the deep roots of power its ruling elites continued to wield until the close of the Classic period.

Cameroon’s Rice Sector Faced with Import Dependency

Rice is a staple food for the Cameroonian population and is the most consumed cereal after maize. The SNDR (National Rice Development Strategy) document shows that despite the scale of investment to absorb domestic demand for rice, Cameroonian production has only been able to satisfy domestic demand to the tune of 20%. The question is therefore to understand the constraints that prevent the development of local rice production to the level of national need. To obtain results, quantitative and qualitative data from secondary sources were used. The rice sector in Cameroon is managed by the state through the Ministry of Agriculture and Rural Development (MINADER). MINADER designs development policies and strategies and coordinates the development of activities in the field. The state implements its policies and strategies through the projects and supervisory structures under its supervision. The sector is organized from the supervisory authority to the consumer. Each actor who intervenes has very specific missions that are transformed into effective activities in the field. The tracing of the evolution of rice production in Cameroon, from the year 2000 to 2018, shows three phases of evolution. The first phase, from 2000 to 2008, can be described as a recovery phase, with a growth rate of 44.84%, at the rate of 5.6% growth per year. The second phase can be described as the take-off phase, which runs from 2008 to 2016 when production peaked. The growth rate during this period was 79.96% at a rate of 10% growth per year. After the take-off phase, there is a decline between 2016 and 2018 at a rate of −12.7%, at a rate of −6.35% per year. It can be seen that the increase in production is evolving at the same rate as the increase in cultivated areas. However, the level of rice production in Cameroon does not essentially depend on the cultivated areas. This suggests that the increase in rice production in Cameroon also depends on the level of local farm yields. The State should, therefore, in addition to the increase in cultivated areas, accentuate its actions in the direction of increasing the yields of local producers.

Evaluation and Influencing Factors Analysis of Urban Tourism Efficiency in Taihang Mountain Region

The level of tourism efficiency directly affects the level of tourism industry quality, to improve tourism efficiency is an important measure to achieve quality upgrading of tourism. With the Taihang Mountain region as the research object and 18 cities within the region as the decision-making unit, the tourism efficiency of the region during 2016-2020 was comprehensively measured based on the DEA-Malmquist index model, and the influencing factors were analyzed. The results show that: (1) From 2016 to 2020, the comprehensive tourism efficiency of Taihang Mountain region shows a general trend of fluctuation, and the development level of tourism development of each city is uneven. (2) The total factor production efficiency of regional tourism showed an obvious downward trend from 2016 to 2020, mainly due to limited investment scale and no obvious progress in technology; The index of regional total factor production efficiency ranked East Taihang > West Taihang > South Taihang. (3) Industrial structure, transportation convenience and government intervention in tourism economy have significant influences on improving tourism efficiency, while economic development level and scientific and technological innovation level have weak influences.

Learning-assisted intelligent risk assessment of highway project investment

Highway project has the characteristics of large investment scale and high investment risk. Aiming at the problem of investment risk management, this paper takes 15 highway investment projects in recent ten years as the research object, and establishes an investment risk index system including 12 first-class indexes and 30 second-class indexes. The hierarchical weight model of highway engineering investment risk assessment is proposed. The intelligent evaluation of highway engineering investment risk by extreme learning machine and broad learning system algorithm is discussed. The comparative experimental results show that the improved intelligent evaluation model can evaluate and predict the investment risk of highway engineering projects more effectively. The R-square value of the improved intelligent evaluation model is increased by 0.35, and the accuracy is greatly improved. It can provide decision support for highway engineering project investment risk management.

How Analyst Attention Affects Inefficient Investment of Enterprises: The Mediating Role of Financial Constraints

This paper uses the data of Shanghai and Shenzhen A-share companies from the CSMAR database. The data range is from 2009 to 2019, studies the relationship between investment efficiency and financing constraints, and expounds on some of the problems faced by small and medium-sized enterprises today. The research uses a model to measure the optimal investment scale of the enterprise in the current period and uses the actual investment scale to gradually approach the optimal investment template to obtain the inefficient investment level of the enterprise. This paper studies the relationship between investment efficiency and financing constraints from an analyst's perspective. Research has found that analyst attention significantly impacts firms' inefficient investments. Analyst Attention and Report Attention can effectively alleviate corporate financing constraints and improve corporate investment efficiency, which is found that analyst attention and report attention have a more significant impact on small and medium-sized enterprises than on large enterprises.

Research on the Path of Sustainable Development of China’s Logistics Industry Driven by Capital Factors

In order to identify the path of the sustainable development of China’s logistics industry, this paper creatively constructs the LMDI (Logarithmic Mean Index Method) model of capital factor investment, analyzes the main driving forces of the development of China’s logistics industry and its sustainability, and discusses the key factors and realization path of the sustainable development of the logistics industry. This study can provide expertise to a vast number of developing countries. The research results indicate the following: (1) Capital scale expansion is the principal driving force in the development of the logistics industry. As the capital investment efficiency of the logistics industry crosses the threshold value, capital investment scale expansion has a long-term positive effect on the development of the logistics industry. The key to achieving sustainable development in China’s logistics industry is to improve the efficiency of capital investment. (2) Improving the institutional environment can reduce the competitive pressure of foreign direct investment (FDI) on the logistics industry, weaken the crowding-out effect on capital investment efficiency, and assist in the sustainable growth of the industry. (3) An improvement in capital investment efficiency is promoted by capital mobility; however, these effects differ depending on the region.

Research on industrial Internet of Things and power grid technology application based on knowledge graph and data asset relationship model

Abstract Power grid data asset management, maintaining the health and integrity of physical assets, optimising the allocation of physical assets, dynamically monitoring the distribution and operation of physical assets, and predicting the investment scale of operation and maintenance and technological transformation are important issues faced by power grid companies. First, the existing literature in this paper is sorted out to define the concept and characteristics of data assets. Then, a training model based on a knowledge graph and data asset relationship model is proposed. At the same time, the key technologies of the Industrial Internet of Things and the theoretical model framework of power grid technology are proposed, including device access, protocol conversion, edge data processing, connectivity, the first entry of data and the rapid growth of data volume. Finally, experiments are carried out to verify the framework proposed in this paper. Experiments show that the research on industrial Internet of Things and power grid technology based on knowledge graphs and data asset relationship model is of great significance for enterprises to exert data value and promote the development of the digital economy.