Enterprise Resource Allocation Research Articles

Impact of the Belt and Road initiative on enterprise green transformation

The Belt and Road initiative (BRI) has created a peaceful and stable surrounding environment for green transformation of enterprises. The data from Chinese listed enterprises from 2010 to 2022 were used, this article overcomes the limitations of the traditional causal inference model, and uses the dual machine learning model to explore the influence of the BRI on enterprises green transformation. Study shows that the BRI can greatly boost enterprises green transformation, and multiple robustness tests have verified its rationality. The mechanism test reveals that BRI promotes green transformation through three channels: promoting green technology spillovers, optimizing enterprise resource allocation and enhancing green governance capabilities. The BRI contributes more to fostering the green transformation of private enterprises, non-high polluting enterprises and large-scale enterprises according to heterogeneity tests. Further analysis found that the BRI had no obvious impact on enterprise performance, and it promoted enterprises to fulfill their ESG responsibilities.

Digital transformation, external financing, and enterprise resource allocation efficiency

AbstractIn a highly informative society, digital transformation has become a new driving force to enhance enterprise competitiveness and promote high‐quality economic development. This paper examines the impact of digital transformation on firms' resource allocation efficiency using a sample of Chinese A‐share listed companies in the manufacturing industry from 2007 to 2019. The research findings are as follows: The digital transformation has significantly improved enterprise resource allocation efficiency. Mechanisms suggest that digital transformation enhances resource allocation efficiency by attracting external financing, both equity and debt financing. Furthermore, the contribution of digital transformation to enterprise resource allocation efficiency is more pronounced in the eastern region, high‐tech industries, and non‐state‐owned enterprises. This paper provides new evidence for exploring effective paths to improve resource allocation efficiency from the digital transformation perspective. It is significant for accelerating enterprise digital transformation and achieving cost reduction and efficiency enhancement.

绿色信贷对企业资源配置效率的影响研究

绿色信贷对企业资源配置效率的影响研究

How Does Emissions Trading Affect the Efficiency of Enterprise Resource Allocation? Evidence From China

Emission trading policies can provide environmental incentives for businesses, leading to a reduction in pollution emissions and promoting sustainable environmental development. Previous research indicated the significant impact of market-based environmental regulations on emission reduction by businesses, however, there is a lack of in-depth examination from the perspective of overall corporate management efficiency. In this study, we conducted research using the 2007 SO2 emission trading pilot program as a quasi-natural experiment to investigate the mechanisms and effects of emission trading systems on corporate resource allocation efficiency. The study found that the implementation of emission trading systems significantly improves corporate resource allocation efficiency. Furthermore, through market regulation and administrative supervision mechanisms, corporate resource allocation efficiency can be further enhanced. However, emission trading systems have heterogeneous effects on resource allocation efficiency, with a stronger promotion effect on optimizing resource allocation in cases of greater financing constraints and higher levels of corporate governance. This study provides important policy insights for further promoting market-based environmental regulation reforms and improving corporate resource allocation efficiency.

Value Co-creation through IoT: An Investigation of the Synergies between Market and Government Policies in the Equipment Manufacturing Industry of Shandong

Currently, many equipment manufacturing enterprises in China lack effective management integration. While research on total factor productivity measurement and influencing factors exists, there is a lack of systematic research from the perspectives of different stakeholders, both inside and outside the enterprise market and government. To address this gap, this study examines the differences in demands for integrated management among enterprises of different ownership and sizes. Using the theory of value cocreation and Internet of Things technology, 273 enterprises in 16 cities in Shandong Province were sampled. The study also compares the impact of market fiscal and tax incentives on enterprise resource allocation and innovation performance, as well as the differences between "tangible and intangible" means of the market and government. The Internet of Things technology is utilized to build integrated management systems and verify the mechanisms of market incentives and government policies. Results reveal that market incentive policies have a differential effect on enterprises of different ownership and sizes, and the total factor productivity of sample enterprises is significantly and positively correlated with the strength of market incentive policy. Moreover, there are noticeable differences in the impact of government subsidy policies on enterprises of different sizes. Small and medium-sized enterprises do not respond significantly to fluctuations in government subsidy policies, while large enterprises are more sensitive to such fluctuations.

Blessing or curse? Market-driven environmental regulation and enterprises' total factor productivity: Evidence from China's carbon market pilots

This study explores the question of whether building a unified carbon market is a blessing or a curse for enterprises in China under the background of global carbon emission reduction goals. Using data on China's A-share listed enterprises and city panel data from 2008 to 2019, we evaluate the effect of China's carbon market pilots, a market-driven environmental regulation policy, on enterprises' total factor productivity (TFP). The findings indicate that the pilot policy promoted enterprises' TFP in the pilot areas by approximately 0.05 on average during the sample period. In particular, the TFP of enterprises in high‑carbon emission industries increased by an average of 0.11. This positive effect is confirmed in the robustness tests. Meanwhile, the effect also is heterogeneous for different regions and enterprises. It depends on enterprise scale, property rights, governance level, financing constraints and registration address. Additionally, the promotion effect works through three channels, including government environmental protection efforts, enterprise resource allocation optimization, and increased investment in R&D. Therefore, building a carbon market is proven to be positive for the development of enterprises. This study enriches the research on pollution control and economic growth and provides policy references for achieving carbon reduction goals.

The Effect of Analyst Following on Corporate Inefficient Investment Using Regression Analysis

Contemporarily, analyst following and inefficient investment are the general concern of the company’s management, which is necessary to investigate the relationship between them. We select 2012-2017 Chinese A-share listed companies as the research object to obtain sample data, design a regression model which contains seven variables and use Stata software to analysis it, get the impact of analyst following on corporate inefficient investment. Based on the analysis, analyst following will reduce the level of corporate inefficient investment, which is still valid after a series of robustness tests. Besides, the results of heterogeneity analysis show that the impact of analyst following on corporate inefficiency investment is more obvious in companies with high leverage and low audit quality. This article provides suggestions for corporate governance and has practical significance for improving the level of enterprise resource allocation.

Stock pledge restrictions and investment efficiency

This paper examines the effect of stock pledge restriction (SPR) on the firm's investment efficiency. By introducing a plausibly exogenous stock pledge regulation, we find that SPR promotes the improvement of investment efficiency, which is mainly reflected in the reduction of overinvestment. Furthermore, the positive association between SPR and investment efficiency is more particularly pronounced for non-state-owned firms, firms with weak financing constraints and firms with high risk-taking. These findings provide new evidence on the importance of capital constraints in corporate efficiency. Overall, this study provides new insight about the real effect of SPR on investment efficiency, which may be of interest to regulators who are concerned with the transaction risk prevention and the efficiency of enterprise resource allocation.

Do Border Effects Alter Enterprise Resource Allocation Efficiency: Empirical Evidence from Municipal Districts in China

Do Border Effects Alter Enterprise Resource Allocation Efficiency: Empirical Evidence from Municipal Districts in China

Application of Computer Artificial Intelligence and Information Technology In Industry Automation

Artificial intelligence (AI) has greatly changed people's lifestyles and habits, and has been widely used in life. AI is widely used in computer network technology, which accelerates the development of computer network technology. In order to make quick and scientific decisions on enterprise problems according to information, optimize enterprise resource allocation and improve enterprise core competitiveness, this paper puts forward the types and general situation of real-time software platform for enterprise automation and informatization and the core technologies of real-time software platform for enterprise automation and informatization according to the problems existing in the development of computer AI. So as to further research in related fields, make its role play effectively, and promote the stable development of modern society. This scheme makes effective use of all kinds of information in the office of enterprises, and arranges, processes, processes and feeds back all kinds of information in time, so as to facilitate the sharing and exchange of business information of enterprises. Systematic research on the theory and technology of real-time database under the network environment requires a lot of work, not only in theory, but more importantly, the theoretical results can stand the test of practice.

Could Executive Compensation Incentive Enhance the Efficiency of Enterprise Resource Allocation? An Empirical Study from China

Corporate executives have the decision-making power of resource allocation, and efficient resource allocation is an important measure of high-quality development of enterprises. It is a focal issue whether the compensation incentive can promote the executives to make better use of the enterprise resource allocation. We investigate this question using the data of the Chinese listed companies in 2015–2019 based on Data Envelopment Analysis (DEA) and fixed effect model. The results show the following: (1) both monetary compensation incentive and equity incentive can significantly improve the efficiency of resource allocation, and the former is more significant; (2) there is an inverted U-shaped relationship between perquisite consumption incentive and resource allocation efficiency; (3) the above conclusion is still true in state-owned enterprises; (4) in private enterprises, the effect of equity incentive is more effective, but the effect of perquisite consumption incentive is less significant. The results highlight the relationship between compensation incentive and enterprise resource allocation. Our study is expected to guide the executives to formulate reasonable compensation incentives and improve the efficiency of resource allocation.

Resource Misallocation and Energy-Related Pollution.

Developing countries face the conflict between economic development and environmental protection. Resource misallocation will not only affect the effectiveness of economic development, but also have environmental impacts. Based on two large-scale enterprise databases in China, this paper measured the level of enterprise resource allocation, and further used empirical research methods to investigate the environmental impact of enterprise resource misallocation and specific mechanisms. The results show that the low efficiency of resource allocation will harm the quality of China’s environment. Further investigation, resource misallocation is accompanied by an increase in total energy input, a decrease in the labor-to-energy ratio and the capital-to-energy ratio, and a loss of energy efficiency, which in turn affects the environmental performance of enterprises. China is the largest developing country in the world, and research on China’s environmental and economic issues is important. The conclusions of this paper can provide experience and suggestions for other developing countries to improve environmental quality and promote sustainable development from the perspective of resource misallocation.

ИНВЕСТИЦИИ НА ПРЕДПРИЯТИЯХ ОБРАБАТЫВАЮЩЕЙ ПРОМЫШЛЕННОСТИ САНКТ-ПЕТЕРБУРГА: РАСПРЕДЕЛЕНИЕ В ИННОВАЦИИ И ОСНОВНОЙ КАПИТАЛ

Investments in innovations and capital assets are the most important driver of economic development of an enterprise. However, the identification of the circumstances of their distribution in conditions of limited resources in economics science has not been developed. The aim of the work is to fill this gap to a certain extent based on the analysis of the dynamics of the actual distribution of investments in a number of enterprises in St. Petersburg. The structural analytical method is the main research method. It engages in grouping enterprises by product profile that have different industry markets with the dynamics of expenditures on innovation and capital assets based on data from annual reports of enterprises that are available in open access on the Internet. The result of the analysis was to identify the ratio of investment in innovation and fixed capital assets for the period of 2011 to 2018 for the city’s profile enterprises of two groups of manufacturing industries: the production of machinery and equipment and the production of measuring, monitoring, and control tools. The first group consist of companies that produce traditional products. The have a stable level of spending on innovation in the time range. The second group is enterprises that produce products that are constantly subject to changes at the request of consumers. They can see a trend of increasing costs for innovation. The conclusion is made about the influence market conditions on the intensity of innovation and technological development – on the dynamics of investments in fixed assets. We see the possibility of makinging use of identifying ratios of innovation costs and capital assets investment in the formation of the enterprise investment policy. It is appropriate to focus follow-up studies on further research of both external and internal factors of enterprise resource allocation.

Industrial Policies, Investor Sentiment and Enterprise Resource Allocation Efficiency

In order to guide capital investment and improve the efficiency of resource allocation, the Chinese government has formulated and promulgated a series of industrial policies. However, China’s capital market has the typical characteristics of “policy-driven market”. Industrial policies often lead to sharp fluctuations in investor sentiment in the stock market, and have a substantial impact on enterprise resource allocation behavior and efficiency. Based on the “inefficient” capital market hypothesis, this paper intends to answer the following questions: Do industrial policies cause the fluctuation of investor sentiment in the stock market? What kind of physical impact does investor sentiment have on enterprise resource allocation behavior and efficiency? What is the underlying mechanism?This paper takes the industries that are not involved in industrial policies as the reference group, and takes the industries that are encouraged to support and restrict as the two groups. The empirical study finds that supportive industrial policies cause the rise of investor sentiment and stimulate enterprise investment, which will aggravate the overinvestment of enterprises and alleviate the underinvestment of enterprises; restrictive industrial policies lead to the decline of investor sentiment and inhibit enterprise investment, which will alleviate the overinvestment of enterprises and aggravate the underinvestment of enterprises. This shows that investor sentiment plays a mediating role in the process of industrial policies guiding resource allocation. Further research shows that the greater the degree of dependence on equity financing or management equity incentive, the more sensitive the enterprise resource allocation is to the fluctuation of investor sentiment, which indicates that the deep mechanism of the influence of investor sentiment on enterprise resource allocation under the exogenous impact of policies lies in that the enterprise has the motivation to rely on equity financing and cater to market sentiment. Finally, on the whole, the impact of investor sentiment on enterprise resource allocation under the exogenous impact of industrial policies results in the damage of corporate value, and there are significant differences in different channels of influence. Capital investment by reducing the cost of equity financing by investor sentiment significantly improves corporate value, while the resource allocation that caters to market sentiment significantly damages corporate value.This paper may have the following three aspects of innovation and contribution: First, it reveals the role of “exogenous factors” of industrial policies in the formation and evolution of investor sentiment, which helps to understand the impact of public policies on the stock market from the perspective of micro enterprises. Second, based on the limited rationality of investors, it studies the role of inefficient stock market in the process of industrial policies guiding enterprise resource allocation, which will help to understand the relationship among government, market and enterprise. Third, the research results have important policy and practical significance: In the process of using industrial policies to guide enterprise resource allocation, the government should not ignore the intermediate link of financial market’s response to industrial policies, and should pay attention to and effectively use the resource allocation function of “ineffective capital market”.

An Optimal Scheduling Path Algorithm for Enterprise Resource Allocation Based on Workflow

An Optimal Scheduling Path Algorithm for Enterprise Resource Allocation Based on Workflow

The impact of command-and-control environmental regulation on enterprise total factor productivity: A quasi-natural experiment based on China’s “Two Control Zone” policy

Command-and-control environmental regulation is a traditional environmental policy that is still widely used in developing countries. This study examined a rarely discussed but significant issue for environmental sustainability and economic development—the impact of command-and-control environmental regulation on enterprise total factor productivity growth—based on a large enterprise-level sample. Employing China’s “Two Control Zone” policy as a quasi-natural experiment, we used a Chinese industrial enterprise panel dataset from 1998 to 2007 to estimate the effects of command-and-control environmental regulation in a difference-in-difference framework. It is found that command-and-control environmental regulation hassignificantly hindered the growth of enterprise total factor productivity, and this negative effect was lagging and continuous. In addition, we leaned that this negative effect mainly came from the increase in costs of enterprises and the negative impact on the enterprise resource allocation efficiency. When considering enterprise heterogeneity in terms of pollution intensity, size, and ownership, the study further found that the negative effects are exacerbated for enterprises in more heavily polluting industries, those of smaller size, and those owned by foreign companies, respectively. Our research is a reexamination of the Porter hypothesis in China, and fills the gap in the literature on the micro effects of command-and-control policy on enterprise total factor productivity for developing countries. Based on a rigorous empirical analysis, we conclude that it is difficult to achieve a win–win scenario with sustainable environmental development and enterprise total factor productivity growth under command-and-control environmental regulation. Environmental regulations should have clear objectives and take a flexible approach, and it is necessary to adopt diversified environmental regulation policies based on market instruments.

A quality function deployment-based framework for the risk management of hazardous material transportation process

The risk management of hazardous materials (HazMats) transportation is a systematic process consisting of risk identification, evaluation, and control. A quality function deployment-based framework under fuzzy environment is proposed to effectively regulate the risks and manage the safety of HazMats transportation process. The framework includes three components. A 4D identification system, namely, “H (human) – M (material) – E (environment) – M (management),” for risk factors is constructed in the first stage, and the basic importance rating of each factor is calculated in the second stage. Subsequently, the corresponding risk control measures are proposed, and the correlation between risk factors and control measures are identified. Finally, the improved priority of each risk control measure, which is the benchmark for limited enterprise resource allocation and risk management policy development, is calculated in the third stage. In particular, this study utilizes fuzzy linguistic terms that are then transformed into triangular fuzzy numbers as evaluation tool for facilitating the expression of experts and decreasing information loss by considering the uncertainty and ambiguity of risk evaluation process. In addition, a new comprehensive weighting model is constructed to determine the influence of experts under group decision-making environment. The proposed framework is applied to explain the process of the risk management and loss prevention of a HazMats transportation company in China. Results not only provide certain acceptable recommendations to safety management of HazMat transportation process but also verify the feasibility and validity of the proposed approach.

Research on Optimization Strategy of Enterprise Resource Allocation Under Supply-side Reform

Research on Optimization Strategy of Enterprise Resource Allocation Under Supply-side Reform

Has China's Transportation Infrastructure Improved the Efficiency of Enterprise Resource Allocation? Analysis Based on Expressway Construction and Factor Input of Manufacturing Enterprises

The transportation infrastructure is widely regarded as an important factor for the improvement of economic performance in developing countries, but its effect mechanism remains controversial. In recent years, people widely argue that the efficiency of resource allocation among enterprises mainly accounts for a large economic performance difference between different nations. To test whether the transport infrastructure actually affects enterprise resource allocation and thereby improves economic performance, this paper uses the data matching industrial enterprises and highway construction in China, and empirically analyzes the impact of Chinese transportation infrastructure on the efficiency of enterprise resource allocation and its effect mechanism. The results show that transportation infrastructure does improve the efficiency of enterprise resource allocation and enterprises which are located in cities with nearer distance from the expressway have a smaller difference between real size and optimal size. Specifically speaking, transportation infrastructure reduces output distortion resulting in both capital and labor input distortion, thereby making real sizes of enterprises closer to the optimal sizes. The analysis based on mediation effect further indicates the factors concerning the effect of expressway on the efficiency of enterprise resource allocation mainly include price markup, industry concentration, and so on, and expressway does not play a significant role in the efficiency of enterprise resource allocation through inventories.

The Application Research of ERP in Enterprise Information Management

The development of science and technology has become an inevitable trend of economic globalization, more and more enterprises realize that the competition between enterprises has already becomes a complex systems engineering, and in the process, the original management pattern gradually exposed the shortcomings, should be replaced by the information management mode. So far, the most complex ERP is the enterprise information management system, it for the enterprise information management provides a new train of thought, to optimize enterprise resource allocation efficiency, strengthen the core competitiveness of the enterprise. This paper analyzes the application of ERP system in the process of enterprise shown, the characteristics of problems including the system in use process. This article selects the typical enterprise ERP application case study, based on the enterprise ERP implementation methodology reference model quickly, for the related industries, enterprises implementing ERP, and equipment asset management problem of study for reference.