Enterprises In Region Research Articles

The relationship between economic growth and carbon emissions based on the combination of graph neural network and wavelet transform

The purpose of this study is to explore the impact of dynamic adaptation of corporate innovation culture and market demand on corporate sustainable development and the differences in corporate types and regions. The research sample covers 150 listed companies and 100 non-listed companies in eight industries and three economic regions: the eastern coastal area, the rise of central China, and the development of the western region from 2015 to 2020. The theoretical framework is constructed using the system dynamics model, and the empirical methods of multivariate regression analysis such as ordinary least squares, fixed effect model, and instrumental variable method are used for research. The main findings include that there is a significant positive synergistic relationship between corporate innovation culture and market demand, and there are differences in development models among enterprises of different types and regions. These results have important policy implications and can provide reference for the National Development and Reform Commission, the Ministry of Industry and Information Technology and other relevant departments to formulate policies such as industrial guidance and innovation incentives, help enterprises achieve sustainable development, and enhance the competitiveness of the national industry.

Экологический мониторинг ведения хозяйственной деятельности на территории южно-таежного района

As is known, the conservation of biological diversity is the maintenance of the regulatory mechanisms of nature that ensure the smooth functioning and sustainable development of biogeocenoses and the biosphere as a whole. Forest ecosystems are among the most productive types of ecosystems on planet Earth, and possess some of the greatest degrees of biological diversity, including woody, shrubby, herbaceous plants, microorganisms, and elements of the animal world. The high productivity of forest ecosystems is largely due to the rich biological diversity of the elements of wildlife forming the biogeocenosis. That is, the conservation of the biological diversity of the forest environment is a necessary element of the conservation of the forest environment. This is evidenced by a number of regulatory documents, including the Federal Laws "On Environmental Protection" and "On Wildlife", the Forest Code of the Russian Federation and other regulatory legal acts. This article examines the expediency of allocating and preserving key biotopes in the issue of forestry activities in the rental bases of logging enterprises in the South Taiga region. The research was carried out on forest plots in the rental bases of logging enterprises in logging areas after continuous logging with measures taken to preserve key biotopes and elements of biological diversity. The methodological approaches included 4 consecutive stages: preparatory, desk, field and analytical. As a result of the conducted surveys, based on the data obtained (assessment of forest growing conditions, sanitary and living condition of the stand), the expediency of isolating and preserving key biotopes and elements of biological diversity in the process of logging operations was determined, which is confirmed by the sufficiently high stability of key biotopes in such areas.

The Transformative Tide: Assessing the Impact of GST on Small Business in India

Over the past six decades, Small Business Enterprises (SBEs) have played a vital role in India's economy, driving industrial output, creating employment, and boosting exports. This dissertation examines the repercussions of the Goods and Services Tax (GST) on Small and Medium Enterprises (SMEs) in India. GST, a significant reform introduced in 2017, aimed to consolidate the country's complex web of indirect taxes into a single structure. This research employs a mixed-methods approach, combining quantitative data gathered from surveys of SME owners and managers with qualitative data from structured interviews. The central aim is to assess how GST has influenced SMEs in key areas such as tax compliance, working capital, digital adoption, cost-effectiveness, and growth prospects. The results of the study suggest that while GST has facilitated increased formalization, enhanced inter- state commerce, and promoted greater transparency, it has also presented SMEs with notable short-term challenges. These challenges encompass higher compliance burdens, slower processing of Input Tax Credit (ITC) refunds, limitations in digital infrastructure, and strains on working capital, which have particularly affected smaller enterprises in semi-urban and rural regions.

Competition dynamics among foreign and local businesses in Chris Hani District Municipality

The overarching aim of this study is to shed light on the effects of the competitive dynamics between local and international enterprises in townships and rural regions of the Chris Hani District Municipality (CHDM), Eastern Cape province, South Africa. To achieve this aim, our study compares the effects of these selected strategies between local and foreign businesses owned by local and foreign traders in townships and rural areas in the CHDM. We employed a quantitative research approach using questionnaires to gather data. In the complete model, the indirect effect of product diversification (PD) on competition dynamics (CD) through pricing strategy (PS) is minimal and non-significant. Similarly, for foreign businesses and local businesses, the mediation effect remains negligible. These findings suggest that while PD influences CD directly in some contexts, PS does not play a significant intermediary role. Overall, the results highlight the direct impact of PD on CD, particularly for foreign businesses. The mediating role of PS is negligible, and the importance of diversification for competition differs significantly between foreign and local businesses. These findings suggest the need for tailored diversification strategies based on the business context to enhance competitive positioning

The Impact of Digital Transformation on Corporate Bleaching Green Behavior

Utilizing data from Chinese A-share listed companies between 2013 and 2022, this study investigates the governance effect of digital transformation on corporate environmental information misrepresentation and its underlying mechanisms. The empirical findings reveal that (1) digital transformation significantly inhibits corporate greenwash behavior; (2) Organizational dynamic capabilities act as a partial mediator between digital transformation and greenwashing behavior, with digital advancements curbing information distortion by strengthening knowledge integration, innovation mechanisms, and external environmental responsiveness; (3) the heterogeneity analysis reveals that the inhibition effect is more pronounced for non-state-owned enterprises and enterprises in the eastern region, which indicates that the degree of marketization and the institutional environment are the important boundary conditions. The study reveals the non-economic benefits of digital transformation in environmental governance, and provides theoretical and practical basis for policy makers to promote green transformation of enterprises.

Economic Analysis of Chemical Fertilizer Use In TRA1 Region

This study aims to examine the agricultural enterprises' use of fertilizers in the TRA1 region enterprise levels, analyzing farmers' knowledge, attitudes, and behaviors regarding fertilizer use. The study, conducted in the TRA1 region (Erzurum, Erzincan, Bayburt), involved interviews with 570 agricultural enterprise owners. Data were collected regarding fertilizer preferences, farmers' awareness levels in fertilization applications, and the factors influencing their choices. It was determined that enterprises primarily use nitrogenous fertilizers, followed by phosphate fertilizers, compound fertilizers, and potassium fertilizers. A significant proportion of enterprises (80.9%) determine the amount of fertilizer based on their experience, while only 4.7% decide after conducting soil analysis. Most enterprise owners purchase fertilizers from fertilizer dealers (40.2%) and obtain information about fertilizers from the same source (27.7%). Given that only 17.7% of enterprises receive information from agricultural institutions, it is evident that comprehensive farmer training programs should be implemented with the support of public institutions to enhance farmers' technical knowledge and skills.

Factors Affecting the Financial Performance of MSMEs in 3T (Frontier, Outermost, and Underdeveloped) Areas: The Moderating Role of Financial Literacy

This study investigates the factors influencing the financial performance of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia's 3T regions—lagging (tertinggal), frontier (terdepan), and outermost (terluar)—with financial literacy positioned as a moderating variable. Despite playing a crucial role in driving local economic growth, MSMEs in 3T areas face persistent challenges such as limited market access, inadequate infrastructure, and a shortage of skilled human resources. The study focuses on internal perspective factors, the use of accounting applications, and marketplace platforms as potential determinants of financial performance. Using a quantitative approach, a survey was conducted among MSME actors in Bitung City, a designated 3T area. The data were analyzed using SmartPLS regression. The findings indicate that accounting applications alone do not significantly enhance financial performance without sufficient financial literacy. Conversely, marketplace utilization substantially improves performance by expanding market reach and boosting sales. Internal perspectives show limited influence unless supported by training or external assistance. Although financial literacy does not statistically moderate the relationships tested, practical experience emerges as a critical component. The study underscores the importance of combining digital tools, experiential learning, and institutional support to strengthen the financial performance of MSMEs in remote and underserved regions.

The Impact of Digital Transformation on Carbon Performance of Manufacturing Firms - Based on the Mediating Role of New Quality Productivity

With the continuous global attention to carbon emissions and the continuous digital advancement technology, the growing influence of digital transformation as a catalyst for enhancing the carbon efficiency of manufacturing firms in China has become increasingly evident. Utilizing data from A-share listed manufacturing companies spanning the years 2013 to 2022, this study conducts an empirical examination and validation of the impact that digital transformation exerts on the carbon performance of these enterprises.The study finds that (1) there exists a positive correlation between the extent of digital transformation and the carbon performance of manufacturing enterprises. Specifically, a 1% rise in the digital transformation level corresponds to a 0.00269% enhancement in carbon performance; (2) the mediation effect analysis reveals that new quality productivity serves as a positive conduit between digital transformation and carbon performance. Specifically, a 1% increase in the level of digital transformation leads to a 0.117% rise in the development of new quality productivity. Furthermore, a 1% increase in the development of new quality productivity results in a 0.00348% improvement in the carbon performance of enterprises; (3) the heterogeneity test shows that the above effect is more significant in the enterprises of the eastern region, and those with a low degree of financing constraints. Based on the above findings, this paper proposes countermeasures from the perspectives of three main bodies: enterprises, government and consumers.

Psychological pathways in enterprise participation in university-industry collaboration: how does social cognitive theory explain participation willingness?

With the in-depth implementation of innovation-driven development strategies, University-Industry Collaboration (UIC) has become an important pathway for promoting technological innovation and industrial upgrading. However, enterprises, as one of the main collaboration entities, show significant differences in their participation enthusiasm and depth. Existing research mainly explores UIC influencing factors from resource dependence and knowledge management perspectives, with insufficient exploration of the enterprise cognitive dimension. This study constructs an analytical framework based on social cognitive theory to systematically examine how multiple cognitive factors and environmental factors influence enterprise decision-making in UIC participation. To reveal how observational learning, self-efficacy, outcome expectations, and policy support jointly influence enterprises' decision-making process in UIC participation, and to explore the moderating role of organizational characteristics in this process. Through a questionnaire survey of 300 enterprises in China's coastal regions, this study employed Structural Equation Modeling (SEM) to analyze the influence mechanisms of observational learning, self-efficacy, outcome expectations, and policy support on enterprises' willingness to participate in UIC. The research found that: (1) observational learning, self-efficacy, and outcome expectations have significant positive impacts on enterprise participation willingness (β = 0.285, 0.312, 0.356, p < 0.001), with outcome expectations showing the strongest direct effect; (2) risk and cost perceptions significantly inhibit participation willingness (β = -0.245, p < 0.001), this indicates enterprises carefully weigh potential benefits against perceived risks when making UIC participation decisions; (3) policy support indirectly promotes participation willingness by enhancing enterprise self-efficacy (β = 0.298, p < 0.001); (4) enterprises' innovation capabilities and resource endowments positively moderate the relationship between policy support and participation willingness (β = 0.187, p < 0.01). This research extends the application of social cognitive theory in inter-organizational collaboration research, provides empirical evidence for policy design and enterprise practice, and emphasizes the need to enhance UIC effectiveness through capacity building, differentiated policy support, and risk management.

Entrepreneurial Potential of Urban and Peri-Urban Agri Enterprises: A Multidimensional Analysis

Urban and peri-urban agriculture is rising as one of the major sectors in India, spurred by increasing urbanization, food security concerns, and entrepreneurial prospects. The study was conducted in this backdrop to assess the entrepreneurial potential of urban and peri-urban agri enterprises in the Central region of Kerala in terms of the multidimensions such as scaling readiness, profitability, product diversification strategy, marketing competence, employment generation, capacity utilization and ecological sustainability. Using Principal Component Analysis, the study identified two major components: strategic growth orientation (driven by marketing competence, employment generation, scaling readiness and product diversification strategy) and green innovation (highlighting ecological sustainability) as the pillars of entrepreneurship development in the urban and peri-urban scenarios. The study also highlighted that marketing competence as the most significant dimension while ecological sustainability had the least impact on the entrepreneurial potential. The Entrepreneurial Potential Index (EPI) analysis revealed that a majority of urban and peri-urban agri enterprises (66%) had a medium level of entrepreneurial potential. Also, significant differences in the entrepreneurial potential were observed among the three major categories of enterprises; with value-addition firms having the highest mean EPI, followed by mushroom enterprises and aquaponics with the lowest mean EPI, underscoring the prospects for development in these sectors. The study highlights the need for adopting strategies to enhance marketing competence of agri enterprises by focusing on branding, labelling, and packaging. Use of skilled employees, innovation readiness and multiple product development would also help to achieve a resilient and competitive urban agripreneurial ecosystem in the State.

The Impact of Market-Based Environmental Regulation on Corporate Stock Price Fluctuations—Moderating Effects Based on ESG Performance

Taking listed enterprises in China’s heavily polluting industries from 2010 to 2021 as the research object, this paper not only explores the impact of market-based environmental regulations on corporate stock price fluctuations and the moderating effect of ESG performance, but also analyzes the heterogeneous impact of property rights nature and regional differences. Research shows that the increased intensity of market-based environmental regulations significantly increases corporate stock price fluctuations, and good ESG performance can effectively mitigate such a negative impact and enhance investor confidence by strengthening information disclosure and fulfilling social responsibilities. In addition, private enterprises are more affected than state-owned enterprises, and enterprises in the eastern region are more sensitive to environmental regulations.

Analysis of the Effect of Data Elements on the Total Factor Productivity of Enterprises in the Digital Economy

Total factor productivity is a path choice for achieving high-quality development. As data gradually becomes a new production factor, whether it can become an enabler to improve the total factor productivity of enterprises has become a widely discussed issue in the academic world. Using the data of A-share listed companies from 2001 to 2022, this paper constructs a two-way fixed-effects model to empirically test the impact of data factors on the total factor productivity of enterprises. The results show that data elements have a significant positive impact on enterprise total factor productivity, which remains significant after a series of robustness tests by replacing the explanatory variables, the core explanatory variable measurements, and introducing quasi-natural experiments. It further analyses its transmission mechanism and what different effects will be produced by enterprises in different regions and industries. Finally, combined with the above research, this paper puts forward the corresponding policy recommendations. Increase the cultivation of talents and the introduction of talents; achieve the issue of increasing total factor productivity in the context of high-quality development of the economy by fully leveraging the role of data elements; guide enterprises to make rational use of data elements; and balance the level of development of data elements.

The Impact of Artificial Intelligence on Enterprises' Accrual Earnings Management

Based on the data of A-share listed companies in Shanghai and Shenzhen from 2012 to 2022, this paper explores the impact and mechanism of artificial intelligence on the management of accrued surplus of listed companies. The empirical results show that artificial intelligence can inhibit accrual earnings management. It is further found through the mediation effect test that AI suppresses accrual earnings management by alleviating financing constraints and reducing management expense ratio. Finally, the results of heterogeneity analysis show that AI can inhibit the level of accrual earnings management in both state-owned and non-state-owned enterprises, but the inhibitory effect is more significant for enterprises in the eastern region.

Intellectual Property Protection and Enterprise Digital Transformation

In this study, the two-way fixed effect model is used to explore the role of intellectual property protection (IPP) in promoting the digital transformation of enterprises. It is found that there is a positive correlation between strong regional intellectual property protection and the level of digital transformation of enterprises. Even after a series of robustness tests such as difference model, entropy balance matching and eliminating peer effect, this relationship is still significant. Further analysis shows that this promotion effect is particularly obvious in enterprises in growth and maturity period and enterprises in the eastern region. The evaluation of economic consequences shows that intellectual property protection not only promotes the digital transformation of enterprises, but also improves the total factor productivity and patent output. This study provides valuable data and policy suggestions, and emphasizes the importance of promoting the digital transformation of enterprises by strengthening intellectual property protection.

The impact of artificial intelligence on the new quality productive forces of enterprises

The new quality productive forces are a strong driving and supporting force in the high-quality development of enterprises. It is thus crucial to study the driving factors underlying the development of enterprises. Using data on Chinese A-share listed companies from 2010 to 2022, this paper empirically analyzes the impact of artificial intelligence on the new quality productive forces of enterprises. It is found that: (1) artificial intelligence significantly impacts the improvement of new quality productive forces of enterprises; (2) innovation-drivenness plays a mediating role in the relationship between artificial intelligence and the new quality productive forces of enterprises; (3) market competition plays a positive moderating role in the relationship between artificial intelligence and the new quality productive forces of enterprises; (4) compared with enterprises in central and western regions and those with severe financing constraints, enterprises in eastern regions and those with liberal financing constraints can better develop new quality productive forces by utilizing artificial intelligence. These conclusions provide theoretical support for the use of artificial intelligence in improving new quality productive forces, enriching the relevant empirical research, especially in the fields of innovation management and enterprise strategy, and promote the in-depth understanding of how artificial intelligence, as a key technological force can promote the development of new quality productive forces through innovation and by enhancing the competitiveness of enterprises.

Government financial support for small and medium-sized enterprises in northern regions

The socio-economic, climatic, and geographical conditions of northern regions shape both the opportunities and constraints for the development of small and medium-sized enterprises (SMEs). Strengthening their role in these regional economies requires an effective system of government financial support. This study examines the significance of such support in the context of the unique challenges faced by SMEs in northern regions. SMEs in these areas demonstrate uneven growth and substantial variations in their economic contributions in terms of gross regional product formation. A cluster analysis, applying both hierarchical and non-hierarchical clustering methods, identified six distinct groups of northern regions based on SME development levels. Among these, Magadan and Sakhalin exhibited the highest levels of SME activity, while the Republic of Tyva ranked the lowest. The primary barriers to SME growth in northern regions stem from harsh climatic conditions, inadequate infrastructure, and institutional constraints. These challenges have been further exacerbated by external factors such as the COVID-19 pandemic and economic sanctions. Government financial support plays a critical role in fostering SME development under these conditions. However, funding levels remain inconsistent across regions, with the exception of the Komi Republic, Sakhalin Region, and the Yamalo-Nenets and Chukotka Autonomous Okrugs, where financial support has shown a steady increase. Econometric analysis highlights the importance of government financial support in SME development, alongside factors such as improvements in the investment climate, reductions in unemployment, and the stimulation of consumer demand through lending. Notably, expanding financial support to a broader range of recipients proved more effective than merely increasing the average funding per business. Future research should focus on evaluating the impact of different forms of government financial support on SME development in northern regions.

STATE CLUSTER POLICY IN THE REGION: PRACTICES AND PROBLEMS OF IMPLEMENTATION

The theoretical and institutional aspects of regional cluster policy are considered. Using the example of the regional center for cluster development, the authors considered a wide range of practices and tools for financial and non-material support of territorial production clusters in the Altai Territory. Using the results of surveys of experts and managers of cluster enterprises, problems were identified and directions for the development of cluster support were proposed. The key problems include, on the one hand, the instability of the economic development of cluster enterprises caused by a lack of their own resources, insufficient interaction with scientific and educational organizations, significant barriers to entering new markets. Оп the other hand, there are limited opportunities of the used government support tools and forms, resulting in a low level of regional enterprises motivation to integrate into a cluster format.

Analytical tools for assessing the efficiency of Agro-Enterprises in dairy cattle farming

The article is devoted to the issues of methodological support for assessing the mechanisms for regulating the innovative activities of agricultural organizations. The content of the mechanism for regulating the innovative activities of agricultural organizations is specified taking into account the modern features of the industry and the systemic approach to the functioning of the company. A methodological approach to assessing the mechanisms for regulating the innovative activities of agricultural organizations based on an integral rating indicator is proposed. The proposed methodological approaches were tested using the example of sugar industry enterprises in the Tula region. The results obtained can be used to select priority objects of innovative activity at the micro level, develop innovative strategies, and make strategic management decisions.

Will Digital Inclusive Finance Improve the Quality and Quantity of SMEs’ Green Innovation?

Whether SMEs can become a significant player in green innovation and reshape the green innovation landscape in China largely depends on their ability to effectively address the lack of momentum for green innovation among SMEs. Utilizing data from China’s SMEs listed on the growth enterprise market between 2011 and 2022, this study empirically examines the effects and underlying mechanisms of digital financial inclusion on green innovation in SMEs, considering both the financial market supply and corporate financing constraints. The results indicate that digital inclusive finance significantly enhances both the quantity and quality of green innovation in SMEs. Moreover, digital financial inclusion particularly improves the quality and quantity of green innovation in SMEs with strong ESG performance and high equity concentration, compared to those with weaker ESG performance and lower equity concentration. Heterogeneity analysis reveals that digital inclusive finance can improve the quality and quantity of state-owned enterprises and enterprises in the eastern region. Still, it has no significant impact on the quantity of green innovation for enterprises in the central and western regions. Regarding the impact mechanism, digital inclusive finance encourages SMEs to engage proactively in green innovation by mitigating financing constraints and increasing R&amp;D investments. The findings of this paper not only reveal how SMEs can overcome the restrictive mechanisms of green innovation through digital inclusive finance, but also provide critical insights for improving the imbalance in the structure of green innovation within China.

Digital Economy as a Catalyst for Economic Growth in the Context of SDG 8 in EU Countries

Objective: The main objective is to reveal a mechanism for generating sustainable economic growth (SDG 8) by establishing financial stability and enhancing the population's well-being in EU countries during this period of increasing digitalization. Theoretical Framework: This topic presents the main concepts and theories that underpin the research. [List relevant theories, models, or frameworks] stand out, providing a solid basis for understanding the investigation's context. Method: Text mining by VOSViewer is applied. For this analysis, literature sources from the Web of Science database were gathered for the period from 2016 to 2023 because the digital revolution reshaped the economic landscape during this period. To examine the impact of digitalization on economic growth, panel research was conducted, covering 27 European Union member states, using a Vector Autoregression Model. Results and Discussion: Digitization can have a positive impact if there is complete interaction between the implementation of digital technologies and other components of economic development. When advanced solutions are employed to automate tasks without further developing other aspects, achieving economic growth through digitization becomes nearly impossible. Additionally, an unfavorable business environment can hinder the speed of digital transformation. Research Implications: To achieve sustainable economic and social development in line with SDG 8 within the European Union, it is crucial to enhance organizational and economic structures, develop technical and material infrastructure, encourage innovation in production, boost the competitiveness of regional enterprises, foster public-private partnerships, invest in human capital development, and maintain social competitiveness. These measures are vital to unlocking the full potential of digitalization and ensuring a smooth and balanced transition in technology, society, and the economy. Investing in human capital development through avenues such as digital skills training, technology education, and research is essential. This promotes a skilled and adaptable workforce capable of meeting the changing demands of the digital age, driving innovation and economic growth. Originality/Value: This study contributes to the literature by emphasizing a distinct trend: business models are evolving due to the widespread adoption of ICT and the innovations propelled by the Fourth Industrial Revolution. New technologies such as artificial intelligence are generating significant opportunities for entrepreneurship, particularly in gig and circular economies. The effects of digitalization and its socioeconomic implications have captured the attention of analysts.