Characteristics Of Enterprises Research Articles

Does Counter-Cyclical Monetary Policy Promote Enterprise R&D Investment in a Recession? Empirical Evidence from China

Using the continuous difference-in-difference (DID) model, this paper analyzes the Chinese listed companies’ panel data from 2013 to 2019 by taking the rapid monetary policy easing in mid-2015 as the policy shocks to test the impact of loose monetary policy on enterprise R&D investment. The results show that loose monetary policy significantly weakened the negative impact of high leverage on enterprise R&D investment. After considering the heterogeneity and fixed effects of enterprise and industry characteristics, loose monetary policy still significantly improved highly leveraged enterprises’ R&D investment and showed a greater innovation-driving role in a competitive market environment. Based on this, this paper believes that The People’s Bank of China should continue to guide the decrease of medium- and long-term interest rates and promote benign competition among enterprises to improve the effectiveness of the monetary policy.

Marketing System Construction and Risk Analysis Based on Random Forest of Machine Learning

This paper analyses the innovative marketing model of enterprises in the new era from the perspective of the characteristics of enterprises and the problems of innovative marketing strategies and puts forward solution strategies and suggestions to provide reference for enterprises to get faster and better development in the new era. Based on the connotation of credit in the random forest, this paper follows the principles of science, standardization, fairness, and objectivity, draws on various credit factor analysis methods and famous credit scoring systems (such as FICO and Sesame Credit), closely links with relevant government and enterprise policy documents, combines with the actual situation of enterprise market, and finally builds a credit factor from three aspects of enterprise market: foundation, marketing, and monopoly. The credit index system consists of 3 primary indicators, 10 secondary indicators, and 22 tertiary indicators.

Tax Competition, Capital Flow, and the Innovation Efficiency of Industrial Enterprises

Many countries use tax competition tools to stimulate enterprises to improve innovation efficiency. Consequently, in China, does tax competition have an incentive effect on the improvement of enterprise innovation efficiency, and what is the existing mechanism? Considering the characteristics of industrial enterprises engaged in various innovative activities to achieve sustainable competitive advantage and taking the panel data of industrial enterprises in 31 provinces and regions of China from 2011–2018 as the research object, this paper empirically studies the influence of tax competition and its mechanism on the innovation efficiency of industrial enterprises. It is shown that excessive tax competition in China hinders the improvement of the innovation efficiency of industrial enterprises, in which capital flow plays a partially mediating role. Further research shows that after the implementation of an innovation-driven development strategy, the degree of tax competition in China was reduced, which alleviated the adverse impact of excessive tax competition on the innovation efficiency of industrial enterprises, and capital flow also reduced this negative effect. The results reflect the good effect of implementing an innovation-driven development strategy in China, and it also shows that excessive government intervention is not conducive to the effective allocation of market resources. Tax Competition is a double-edged sword; therefore, it is necessary to promote the innovation efficiency of industrial enterprises by combining promising government and an effective market. The conclusions are important for the appropriate shaping of fiscal policy.

The Rise of Rural Industrialization in China with Special Reference to Non-agricultural Development: A Case Study from Guangxi

In recent years, rural transformation has gradually become the focus of scholars and Governments in the context of global sustainable development; it is of great significance to achieve urban-rural integration and coordinated development through studying the spatial-temporal characteristics and driving mechanism of rural transformation development. The ultimate purpose of our study, which is part of an ongoing major research agenda at the Qinzhou Development Institute within the Bei Bu Gulf University is to better understand the origins of, and trends in, the expansion of rural Industrialization. We focused on south-west China – a region much influenced by the Belt and Road initiative. We reviewed the existing literature on rural industrialization and attempted to explore the advantage of rural over urban industries based on the results of case studies in China (mainly pertaining to the coastal zones of the Yangtze and Pearl river deltas). We examined the crucial characteristics of rural enterprises and entrepreneurs based on micro-level evidence from Guangxi and neigbouring provinces.

Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants

The power industry is the key to achieving the carbon peak and carbon neutrality goals. It is of great theoretical and practical significance to investigate the carbon emission efficiency (CEE) of thermal power generation from the micro-perspective of power plants. Using the data of China's 42 thermal power plants in 2020, this paper firstly constructs a multi-dimensional index evaluation system for CEE from the aspects of energy, economy, and environment, considering the actual operational characteristics of power generation enterprises. Specifically, the super-efficiency slack-based measure (SBM) model with undesirable outputs is applied to identify and distinguish the multiple efficient decision-making units. Then, this paper explores the efficiency improvement path of inefficient thermal power plants. The results show that most power plants show the increasing scale payoffs, while the other power plants present constant returns to scale. The distribution of power plants' CEE is polarized into two clusters, i.e., low-CEE group and high-CEE group. Besides, Southern China shows the highest CEE, while the least is recorded in Central China. The main reasons for the low CEE are the high redundancies in inputs, carbon emission intensity of power supply and heat supply. It is necessary to adjust the resource allocation and input-output structure according to the redundancy and deficiency rates. This study can provide managers with targeted policy guidance to improve the sustainable development of power enterprises.

Socio-Economic Structure of Cattle Enterprises in Northeast Anatolia Region: An Example of İspir County of Erzurum Province

This study was carried out to reveal the current situation regarding the socio-economic characteristics of cattle enterprises in İspir county of Erzurum province. For this purpose, a face-to-face survey was conducted with 394 cattle farm owners determined using the random sampling method. The data obtained were interpreted using frequency analysis. The enterprises were mostly small-scale family types that had less than 20 (69.3%) animals. The number of cattle in the enterprises was classified as less than 11, 11-20, 21-30, 31-40, and more than 40 heads. Additionally, educational status of the owner of the enterprises were grouped as illiterate, literate, Primary School graduate, Secondary School graduate and High School graduate. The average age of the breeders was determined to be 55.2 years, with the majority between 50-70 years. The level of education of the breeders was low and the majority of them were primary school graduates (68.8%). More than half of the enterprise owners (58.4%) had more than 30 years of experience in cattle breeding. Apart from the owner, the number of people who cared for the animals was usually 2 people (43.7%) or 3 people (33.5%), and the person who cared for the animals was generally a family member. Only 27.9% of the enterprises were members of a union and 49.3% of the member enterprises preferred the Agricultural Credit Cooperative. As a result; the high average age of the population engaged in animal husbandry in the county makes it necessary to clear the way for young entrepreneurs with various supports and to prevent migration to the cities. In addition, carrying out various training and incentive activities to eliminate the disadvantages such as the low level of education of the breeders and membership of a union will make important contributions to the development of the Country’s livestock sector.

Blockchain announcements and stock value: a technology management perspective

PurposeThis study aims to explore the impact of blockchain announcements on enterprises' stock market value.Design/methodology/approachBased on resource-based theory, this study constructs a complete framework of the impact mechanism of blockchain announcements on the stock price of the announcing firm using the data of 143 blockchain announcements. An event study methodology is used in this research, and the market model, market-adjusted model and Carhart four-factor model are used to estimate stock abnormal returns after the blockchain announcement; and the cross-sectional regression model is used to test the influencing factors.FindingsBlockchain announcements elicit a significantly positive market reaction on the release day. Compared to announcements not pertaining to technical innovation, blockchain technical innovation announcements exhibit a more positive market reaction towards the announcing companies. Strategic-level announcements exhibit a more positive market reaction than operational-level announcements. Enterprise characteristics, such as enterprise-scale and enterprise innovation ability, do not affect stock market reactions to blockchain announcements.Practical implicationsThe findings reveal the economic value of conducting blockchain activities in the Chinese stock market. Findings of this study can help managers understand the value of implementing blockchain activities in a different market environment and guide them on how to improve the market value of their enterprises through the active implementation of blockchain activities.Originality/valueTo the best of the authors’ knowledge, this is the first event study to focus solely on the value of pure blockchain announcements in an emerging market. This study considers multiple resource and capability factors that would influence blockchain technology adoption, improve the current understanding of how blockchain announcements affect corporate stock prices and provide directions for future comparative studies of market reactions to blockchain announcements in different stock markets.

Examining the determinants of loan default among microfinance banks’ borrowers in Kano State, Nigeria

Abstract: Purpose: The study examines how the personal and business characteristics of micro, small and medium enterprise (MSMEs) borrowers of microfinance banks influence loan default, using Kano State as a case study. Research Methodology: The study employed a survey research method and the sample was drawn through multistage stratified random sampling and comprised 544 beneficiaries of microfinance banks selected from 10 local governments across the state. Data was collected using questionnaires and analyzed using Logit and Probit models with the aid of STATA 13 software. Results: The findings revealed that family size, gender, and business age are significant determinants of loan default. Borrowers’ marital status and age as well as the size and location of business were found to be insignificant in predicting loan default among microfinance MSME borrowers. Limitations: Part of the limitations of this study is the difficulty involved in getting the required information from the sampled microfinance beneficiaries. This research considered only personal and business characteristics of microfinance banks’ borrowers as determinants of loan default in some selected areas of Kano State. Findings in other areas may differ. Contributions: This study contributes to the area of microfinance research by adding more value to the knowledge and literature existing in this field. Managers of microfinance banks will also find the outcome of this research useful as it will assist them in understanding the appropriate strategies to adopt in minimizing the default rate of their clients. Keywords: 1. Borrowers 2. Loan default 3. Microfinance

Evaluation and selection of green suppliers for papermaking enterprises using the interval basic probability assignment-based intuitionistic fuzzy set

With the vigorous development of the global economy, modern enterprises have agreed to implement green supply chain management. The evaluation and selection of green suppliers plays a vital role in successful green supply chain management. As a multi-attribute group decision-making green supplier selection problem, it is difficult to fully describe the evaluation factors using precise numerical values and classical fuzzy sets, so it cannot assist enterprise managers in making completely reasonable decisions. Therefore, this paper proposes a green supplier evaluation and selection method based on interval BPA-based intuitionistic fuzzy sets. First, build a green supplier evaluation index system based on the characteristics of the papermaking enterprise's suppliers. Then, the intuitionistic fuzzy number is used to express the indicators of the evaluator for each supplier, and the intuitionistic fuzzy information is integrated through the organic combination of the IIFWA integration operator and the structural entropy weight to obtain the comprehensive evaluation value of the evaluator. Finally, the interval BPA-based intuitionistic fuzzy set method ranks the candidate suppliers and determines the best green supplier. Applying this method to the field of green supplier evaluation and selection can provide an effective method for enterprises to select suppliers scientifically and reasonably, which has practical reference value and practical significance.

Development Model of Enterprise Green Marketing Based on Cloud Computing

Internet-based cloud computing is currently an important core technology for computer development in China. It can be used not only in marketing but also in various industries. At the same time, people-oriented and green projects and products that focus on the development of the ecological environment and green consumption dominate the current market trend. The purpose of this paper is at studying the development model of enterprise green marketing based on cloud computing. This article compares and analyzes enterprise green marketing systems through big data algorithms and statistical methods. It starts with the basic characteristics of cloud computing, studies the opportunities and challenges that cloud computing brings to enterprises’ green marketing efforts, describes the green marketing processes and characteristics of enterprises, and analyzes cloud. The feasibility of the construction of the computing system, the basic architecture of the cloud computing system, and the construction of a complete cloud computing data processing flow are proposed. The research data found that the combination of the green marketing development model and cloud computing in the enterprise operating system is conducive to the development of the enterprise; it improves the discovery efficiency of the enterprise and reduces the pollution in the production of the enterprise; the cloud computing can greatly improve the work efficiency of the employees. Cloud computing can improve employees’ speed to complete tasks by about 20% and reduce the error rate by about 50%. The cloud computing enterprise green marketing development model has guiding significance for the long-term development of the enterprise.

Socioeconomic characteristic of street food vending enterprises in the Vhembe district, Limpopo province

The street food business is a crucial indirect driver of the economies of developing countries. It ought not to be ignored as most unemployed people turn to it as their primary means of earning a living to improve their lives. We studied the socioeconomic characteristics of the street food enterprises in the Vhembe district, South Africa. A cross-sectional survey of 511 street vendors (18-75 years old) was conducted. The socioeconomic characteristics of vendors in three towns of the Vhembe district were quantified. Data collected included age, gender, educational level, economic profile, factors influencing entry, foods sold, regulatory issues, and input suppliers. The results highlight the dominance (63.1%) of single middle-aged women (35-44 years old) with high school education and few young adults’ participation (4.1%) in the street food enterprise. About 14% of participants migrated from Zimbabwe to seek employment. Many of them (11.4%) reside in Musina. Lack of opportunities (65%) and financial freedom (90.8%) was the primary motivation for entry into the enterprise. Street food enterprises contributed about 82% of the average household income R6 042.66 made from the enterprise per month. About 50% of the street vendors are affiliated with a local organization. The most commonly cooked foods sold were pap (97.1%) served with chicken (88.8%) or beef (68.3%), with others serving with different vegetables (75.3%). The study recommends the prioritization of the establishment of local representative organizations in collaboration with the authorities to serve as gatekeepers for the sector, such as health checks, enforcing enterprise certification, promoting association for lobbying power and internally settling disputes.

Recording Intellectual Property Products in the Context of Globalization

The article explores the issues of statistical accounting of intellectual property products (IPP) when performing calculations for the whole country under current conditions. The paper covers the influence of IPP accounting features on the assessment of indicators and characterizes the corresponding methodological problems. In particular, the growing role of globalization in economic activity, the specifics of accounting for licenses, the calculation of indicators of the national economy of Russia. The paper discusses the views of national accounts experts on the development of the IPPs accounting methodology. The author proposes directions for improving the analysis of the increasing role of innovations in modern conditions, including using new indicators that have not been used previously. The article analyses characteristics of multinational enterprises affecting the adequacy valuation of fixed capital accumulation and balance sheets of assets and liabilities, which ultimately define the production measure of gross domestic product (GDP). As a result of the study, the author formulated individual proposals for improving the accounting of IPP involving a wide range of ex- perts in macroeconomics, which is essential for harmonizing GDP and balance sheets reflecting cross-country flows related to goods and services, including intellectual property products and research and development amidst globalization. This article is based on documents and materials on national accounts, globalization, accounting for intellectual property products and research and development.

Green innovation and enterprise green total factor productivity at a micro level: A perspective of technical distance

As the microsubjects of transformation and upgrading, enterprises are conducting green innovation to help simultaneously improve economic and environmental quality. However, whether green innovation can promote green total factor productivity (GTFP) remains unclear, especially at a micro level. This study addresses this research gap from an empirical perspective, focusing on Chinese A-share listed enterprises and using economic and environmental statistical data at the province and city levels from 2004 to 2019. Results show that green innovation improves GTFP. The impact of green innovation on GTFP is heterogeneous, depending on patent types and characteristics of enterprises. Additionally, technical gap influence the impacts of green innovation on enterprise GTFP. It has a threshold effect in heavy-pollution enterprises. Green innovation inhibits enterprise GTFP when the technical gap is less than 132.7233. When the technical gap is more than 142.4535, green innovation promotes the enterprise GTFP. Our research provides microscopic evidence on green transformation for enterprises with heterogeneous characteristics and green innovation.

Study the impact of labor outsourcing on the financial performance of small and medium enterprises in Mekong Delta, Vietnam

The study aims to identify factors influencing labor outsourcing and analyze the impact of outsourced resources on small and medium enterprises’ financial performance in the Mekong Delta. Based on theories (including TCE, CCT, RT, and SCT theory), previous studies, and expert interviews, this research model has been developed and tested in SMEs in the Mekong Delta. The study collected data from administrators at 409 SMEs who used outsourced labor services in the last two years. Analytical methods are used, including Cronbach’s Alpha test, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The research results show that outsourcing depends on the functional characteristics of enterprises, risk control, managers’ attitude, and relationships in outsourcing. The study also confirms that labor outsourcing positively affects financial performance. However, the relationship between the use of outsourced resources and enterprises’ financial performance is very modest. Based on the research results, the authors also suggest managerial implications to improve SMEs’ performance through outsourcing.

An Enterprise 2.0 project management approach to facilitate participation, transparency, and communication

The use of current interactive and collaborative Web 2.0 concepts and technologies has great potential for flexible, loosely-coupled integration and ad-hoc information exchange within and between organizations. However, stakeholders’ readiness, willingness and ability to participate need to be continuously factored in. The successful implementation of common strategies, systems and processes in the course of Enterprise 2.0 projects is crucial. To increase the probability of success and to enhance the intensity of cooperation and trust in such projects, the constructs of transparency, communication and participation need to be addressed through an integrated project methodology. To bridge the gap between existing scientific models and requirements for Enterprise 2.0 projects, this paper proposes and describes a project methodology to support the main objectives for Enterprise 2.0 implementations. Selected results from two pilot projects within Austrian companies are presented and matched with critical success factors, which are derived from the literature. These provide elaborative insights into key characteristics of certain Enterprise 2.0 tools and project management for Enterprise 2.0 projects.

How Digital Are Albanian Esnterprises: A Microeconomic Analyses

This paper focuses on the analyses of the digitalization of enterprises and its performance impact in Albania. Using data from 2019 Enterprise Surveys (ES) we try to give answer questions related to digitalization that characterize Albanian enterprises. The survey was a shared project of the European Bank for Reconstruction and Development (EBRD), the European Investment Bank (EIB), and the World Bank Group (WBG). The data are collected in Albania between January and May 2019. The objective of the survey is to better understand firms` experience in the private sector. Collected data are based on firms’ experiences and perceptions of the environment in which they operate. The paper uses these specific questions to study Internet adoption. ES questionnaires focus on the following questions: (1) Does the firm have a high-speed Internet connection on its premises? (2) Does the establishment have its website? The dependent variable is the performance of the firms measured in terms of sales growth and labor productivity, while the vector of independent variables is composed of enterprise characteristics such as firm size, ownership structure, legal status, region, etc. Moreover, dummy variables are used to capture access to formal banking services and gender ownership.

Exploring the promotion method and pathway of energy big data service business

In the wave of China’s new energy revolution and digital revolution, advanced information technologies such as big data, cloud computing, Internet of Things, mobile Internet, and artificial intelligence have been deeply integrated with the energy industry, and energy big data has emerged as the times require. Energy big data promotes new models and new formats in the energy sector. The vigorous rise of energy big data has injected new impetus into the energy transition. With the explosive growth of energy data and the continuous improvement of data processing capabilities, energy big data has become a new element of social production, and different social entities have corresponding business needs. Therefore, this article is based on the three basic business promotion theories of growth cycle, growth framework and growth strategy with growth hacking theory as the core, and considers the different characteristics of government, enterprises and residents in terms of customer acquisition cost and life value. Finally, this article puts forward energy big data service business promotion models for governments, enterprises and residents which are based on the five stages of the user life cycle.

Improving Access to Bank Loans for Small and Medium-sized Enterprises in Mekong River Delta, Vietnam

Despite Small and Medium-sized Enterprises play an important role in economic growth of Vietnam, there remain still many difficulties for them to access credit. This study contributes to takle these problems with investigating the factors that affect the ability to borrow money of SMEs in Mekong Delta, Vietnam. Data collected from a survey on 480 SMEs in the area are analyzed using Binary Logistic regression model. The results suggest that groups of factors affecting loan financing to those SMEs include Characteristics of business owners, Enterprise characteristics, and Business environment characteristics. The significance of the study provides evidence to the policy makers and practistioners to improve the accessibility to loans of the SMEs in Vietnam.

Can government financial support enhance job creations: insights from Oman

Purpose Promoting and supporting entrepreneurship is a critical pillar of Oman’s vision 2040. The need to understand to what extent the effectiveness of public funds given to micro and small enterprises in Oman as well as to understand the characteristics of the funds that can drive the impact of such government financial support programs on those enterprises motivated us to conduct this study. Therefore, the purpose of this study is to investigate the impact of the government loan support programs on job creation in micro and small enterprises in Oman. Design/methodology/approach Hypotheses were tested using data collected from 1,127 micro and small enterprises that received loan supports from the Government of Oman. The authors explored the impact of a set of predictors on a dependent variable (job creation) to understand to what extent do the supported micro and small enterprise characteristics significantly influence job creations in the enterprises. Multiple regression and General Linear Model Multivariate Analysis statistical techniques were used to test the hypotheses. Findings There is a positive relationship between government supported firms’ characteristics and job creation for both nationals and expatriates’ employment. The empirical results suggest that, when compared with the micro enterprises, the small enterprises were able to create more jobs for nationals than for expatriates, although the effect of the support program on job creation was significant for both groups. Originality/value This paper contributes to the literature debate on the effectiveness of Oman’s entrepreneurship policy. Using multivariate analysis, the study analyzes the public support program for enterprises in Oman and how it can be improved to support the Oman 2040 Vision.

Performance characteristics of very small enterprises: funhouse mirror or obviousness?

Very Small Enterprises (VSE) represent the great majority of businesses in Africa and provide nearly 80% of jobs. Therefore, their performance has become a subject of a great importance for their owners and/or managers, the government and the researchers. The purpose of this study is to contribute to a better understanding of the performance characteristics of Very Small Enterprises (VSE). A survey was conducted with a sample of 166 Very Small Enterprises from different sectors of economic activity in several cities of Cameroon. The structural equation model is used to analyse the data collected. The main results clearly show that the quality of the personnel and the commercial dynamism represent the most important performance characteristics of Very Small Enterprises (VSE).