Green Development Performance Research Articles

Research on the impact and mechanisms of lean management on the green development of traditional small and micro manufacturing enterprises

AbstractTo achieve the “dual carbon” goals, manufacturing businesses must pursue green development. Compared to larger enterprises, the path towards green development is fraught with difficulties for the numerous traditional small and micro manufacturing enterprises. Lean thinking offers new solutions to the pain points and challenges of green development for these enterprises. However, existing research primarily focuses on large enterprises, with limited studies on traditional small and micro manufacturing enterprises; moreover, the conclusions on lean green development remain contentious and fail to effectively guide these enterprises through their green development bottlenecks. Therefore, this paper constructs a lean green development mechanism model for traditional small and micro manufacturing enterprises based on the grounded theory research method and the “resource‐behavior‐performance” model. It validates the model with empirical data from 333 traditional small manufacturing enterprises in China. The results show that in the actual development process of traditional small and micro enterprises, implementing lean organization and lean production significantly improves environmental performance, but the impact on economic performance is complex. Additionally, the influence of lean strategies on green development performance is not significant, not fully realizing their potential guiding role. Further in‐depth analysis of traditional small and micro manufacturing enterprises with a mature level of lean management reveals that as the level of lean management improves, the guiding effect of lean strategies begins to emerge; both lean organization and production have a significantly positive impact on economic performance. The findings are theoretically and practically significant for overcoming the green development challenges faced by traditional small and micro manufacturing enterprises, help to broaden the research scope of lean green development, and provide decision‐making and theoretical support for promoting the seamless implementation of lean green development in the traditional manufacturing sector.

Environmental regulatory intensity, green finance and corporate green sustainable development performance

In the “14th Five-Year Plan” period, the emphasis is made on green and low-carbon initiatives, which has become a defining feature of China's development, and it is of great significance to help enterprises realize green and sustainable development under the guidance of environmental regulation to achieve the goal of “dual-carbon”. At first, this research analyzes the decision-making process between the government and enterprises under environmental regulation using the evolutionary game model. Moreover, using the TOPSIS method, this paper constructs the indicators of corporate green sustainable development performance, and empirically examines the impact of the intensity of environmental regulation on the green sustainable development performance of enterprises based on the data of Chinese A-share listed enterprises from 2010 to 2022. A noteworthy positive correlation between the intensity of environmental regulation and the sustainable green development performance of enterprises is unveiled by the results. Mechanism tests suggest that the intensity of environmental regulation has a positive impact on the green sustainable development performance of enterprises through enhancing green finance and green technological innovation. Moreover, this effect tends to be more pronounced for enterprises that are in the mature life cycle, with green executive team, and high media attention. The research presented in this study contributes to establishing a novel theoretical foundation for corporate sustainable development.

Green Transformational Leadership, Green Creativity, and Green Product Development Performance Moderated by Green Dynamic Capabilities

Green Transformational Leadership, Green Creativity, and Green Product Development Performance Moderated by Green Dynamic Capabilities

How Does Artificial Intelligence Impact Green Development? Evidence from China

Artificial intelligence not only changes the production methods of traditional industries but also provides an important opportunity to decouple industrial development from environmental degradation and promote green economic growth. In order to further explore the green value of AI, this paper constructs an indicator of industrial robot penetration at the regional level, based on the idea of Bartik’s instrumental variable, and measures green development efficiency using the improved Super-SBM model. Based on a comprehensive explanation of the influence mechanism, a spatial measurement model and mediating effect model are constructed to test the spatial spillover effect and transmission mechanism between AI and green development. This study shows that (1) there is a significant inverted U shape in the impact of AI on green development; (2) the heterogeneity analysis finds that the structural dividend of AI is more obvious in capital-intensive and technology-intensive areas, which can more fully release its empowering effect on green development; (3) AI can not only directly affect green development but also indirectly affect green development by promoting green technology innovation and optimizing industrial structures, etc.; (4) AI has a significant inverted U-shaped spatial spillover effect on green development, and the development of local AI has a radiation-driven effect on the green development performance of its spatially related areas. The research methodology of this paper can be used for future research, and the results could provide support for the formulation of regional AI applications and green development policies.

Corporate culture and ESG performance: Empirical evidence from China

With the rising awareness of green and sustainable development, corporate environmental, social, and governance (ESG) performance has become an essential topic in academia. Existing studies have focused on the driving role of formal institutions on corporate ESG performance while ignoring the motivational role of informal institutions such as culture. Based on the data of Chinese A-share listed companies from 2009 to 2021, this study adopts textual analysis to quantify corporate culture and discusses the impact of corporate culture on ESG performance and its internal mechanism. We find that corporate culture significantly enhances ESG performance. Mechanism test indicates that corporate culture can promote green innovation and improve information transparency through resource and information effect, enhancing ESG performance. We further demonstrate differences in the impact of corporate culture dimensions on ESG performance, with innovation culture and quality culture being the most prominent. In addition, there is heterogeneity in the impact of corporate culture on ESG performance. In the context of non-state-owned property rights, low market attention, and high economic policy uncertainty, the impact of corporate culture on ESG performance is more significant. This paper enriches the related research on ESG performance drivers from the informal system perspective and provides decision-making references for enterprises to promote ESG practices and achieve sustainable development.

Analyzing The Mediating Role of Green Creativity Climate on Green Product Performance: Evidence Form Industrial Manufacturing Sector of Pakistan

This paper aimed to explore the effects of EIP dimensions' success factors, in particular, environmental management, climate creativity, creative sustainability, and the environmental effects of products. innovation on organizational success of Pakistani manufacturers at different levels of execution, including environmental performance, economic performance, and operational performance. It also highlights the need for further research on EIP practices in developing nations such as Pakistan. Using a Convenient sample technique, survey questionnaires were used to gather data for this study, from the management of 185 companies in Pakistan. PLS-SEM was used to examine data related to the intended target market. which was managerial staff members (business experts & executives) from private business firms. Our results demonstrate that EIP, with its creative climate and green technology, has a favorable effect on the performance of green product development. We also learn that consumers with low standards for the environment and little desire to purchase goods can be found in manufacturing enterprises. According to our research, which supports the organizational innovation theory, raw art is the most crucial component of an organization that encourages the creation of a green manufacturing product. One finding from the research is that the presence of a green creative atmosphere is a crucial component in explaining the beneficial effects of EIP on the efficiency of green product development. Second, the EIP encourages the growth of organizational qualities in addition to raw material development. but additionally offers the advantages of organizational performance. Researchers may be able to gain a better understanding of the intermediary mechanisms linking green creativity, raw product innovation, and EIP with the use of these studies.

What causes green efficiency losses in Chinese agriculture? A perspective based on input redundancy

Incompatibility between agricultural production inputs and the resource environment leads to efficiency losses and has an impeding effect on sustainable agricultural development. However, efficiency loss in agriculture is a blind spot in current research. To explore the green development performance and efficiency losses in China's agricultural modernization process, this paper measures the green efficiency of China's agriculture from static and dynamic perspectives. An in-depth analysis of efficiency losses in the efficiency measurement process was conducted. It was found that the overall agricultural green efficiency (AGE) of China showed a continuous upward trend from 2006 to 2019 and the average growth rate is 4.1 %. The utilization efficiency of agricultural inputs in China increased significantly, but the regional variations in the redundancy of agricultural inputs widened. Both agricultural modernization and environmental regulations are associated negatively with labor redundancy, and environmental regulations are associated negatively with fertilizer and machinery redundancy. The effective substitution of labor production factors by agricultural modernization can reduce labor redundancy and release a large amount of rural labor engaged in primary agricultural production, and environmental regulations effectively inhibit the waste of fertilizer, labor, and machinery inputs.

Influencing Factors and Improvement Suggestions for Agricultural Green Development Performance: Empirical Insights from China

Influencing Factors and Improvement Suggestions for Agricultural Green Development Performance: Empirical Insights from China

What are the key factors of enterprises' greenwashing behaviors under multi-agent interaction? A grey-DEMATEL analysis from Chinese construction materials enterprises

PurposeThe surging market demand for green construction materials has brought opportunities for construction materials enterprises' greenwashing behavior (GWB). This study aims to establish the causal relationship among the influencing factors of GWB and reveal the key influencing factors from the perspective of Chinese construction materials enterprises under multi-agent interactions.Design/methodology/approachThis study is based on stakeholder theory, resource-based theory and the green development behavior and performance of industrial enterprises (GDBP-IE). First, with the literature analysis, an index framework of the influencing factors of enterprises' GWB was constructed from five dimensions (including 15 factors): environmental regulation, public scrutiny, market environment, corporate resources and corporate green development (GD) performance. Second, the interactive relationship among influencing factors was obtained by a questionnaire survey. Finally, the data are processed and analyzed with the grey-DEMATEL (Decision-making Trial and Evaluation Laboratory) method.FindingsAmong the factors, corporate information transparency has the greatest impact on the other factors, and consumer green preferences are most influenced by others. The most critical and important factor is the corporate social performance factor. In China, corporate social performance, corporate information transparency, corporate size and media supervision are the key factors influencing the GWB of construction materials enterprises.Originality/valueThis study provides a new perspective on the literature related to GWB by considering multi-agent interactions and extends the evidence from the construction materials industry for research on the drivers or influencing factors of enterprises' bad environmental behavior. Furthermore, it adds insights from China for further research on the governance strategies of GWB in other countries.

Can carbon emission trading pilot facilitate green development performance? Evidence from a quasi-natural experiment in China

Can carbon emission trading pilot facilitate green development performance? Evidence from a quasi-natural experiment in China

An assessment of the green development efficiency of industrial parks in China: Based on non-desired output and non-radial DEA model

Greening the industrial parks is one of China's attempts to explore sustainable development for the industrial sector. The efficiency of green development has come to serve as a criteria index to evaluate the performance of green development for industrial parks. In this paper, a non-desired output and non-radial DEA model was proposed for measuring industrial parks’ green development performance. We use the panel data of 171 green industrial parks certified by China's central government to evaluate the green development efficiency. It shows that the green development efficiency of the industrial parks exhibits significant spatial and temporal heterogeneity. We further decompose the green development efficiency and analyze the input redundancy and output insufficiency. We also choose Suzhou and Yunnan Anning Industrial Park for case studies, in order to explore the measures which can be replicated and promoted, and contribute to the green development of industrial parks in China and other developing countries.

Why and how tourism affects green development: evidence for China

Green development, considering economic and environmental performance, has received increased attention globally. Moreover, the significant economic and environmental impacts of tourism are widely accepted by scholars. However, the nexus of tourism and green development is still unclear. To fill this gap, this study examines the effects of tourism on green development performance measured as green total factor productivity and the influence mechanisms. China’s 308 cities’ panel data between 2005 and 2019 provide empirical evidence. The results demonstrate an inverted U-shaped relationship between tourism and green total factor productivity, which is substantiated via various rigorous robustness tests. The key drivers of green total factor productivity change in cities include tourism-induced technological innovation, industrial structure optimisation, and environmental enhancement. Besides, the nexus of tourism and GTFP varies significantly across different socio-economic development regions. The positive relationship exists in relatively developed areas, while less-developed western China still keeps inverted U-shaped links between tourism and GTFP. The U-shaped relationship exists in central and northeastern China. The article is the first to systematically explore the impact of tourism on green development while revealing several potential mechanisms, thus significantly contributing to the literature on green development and sustainable tourism.

Market Segmentation and Green Development Performance: Evidence from Chinese Cities.

This study is based on 2006-2019 panel data from 282 Chinese cities. Market segmentation and green development performance are empirically investigated to examine their non-linear relationship using static panel, dynamic panel, and dynamic spatial panel models. The results reveal the following: (1) Green development performance is found to have a high degree of temporal and spatial path dependence, exhibiting spatial linkage between cities. (2) Market segmentation stemming from local government protection has a clear inverted U-shaped structure in relationship with the green development performance. (3) Our analysis suggests that the upgrading of industrial structures significantly enhances green development, while factor price distortion inhibits it. The relationship between market segmentation and industrial structure upgrading is also an inverted U-shape. (4) The analysis further reveals that market segmentation has an inverted U-shaped correlation with the green development performance in western, central, and eastern cities. However, the different rates of development of industrial structures within the three regions result in varying degrees of market segmentation according to inflection point values. Moreover, aligned with the theoretical hypothesis of "resource curse," in resource-based cities (exclusively), market segmentation still affects the green development performance with a significant inverted U-shaped structure.

The Impact of “Dual-Control” Regulations on the Green Total Factor Efficiency of Shaoxing’s Industrial Sector

Promoting the decoupling between economic growth and carbon emissions through government intervention is very crucial for China to achieve carbon neutrality. This paper evaluates the green development performance with the help of the green total factor efficiency index and explores the impact of “Dual-Control” regulations on the green development of the industrial sector in Shaoxing using the differences-in-differences model. The results show that there are great diversities in the green development of different industries and that the energy-intensive industries have relatively poorer performance. The “Dual-Control” regulations significantly narrow the differences and promote the green development of Shaoxing’s industry but result in profit erosion for industrial enterprises owing to direct energy-saving expenditure and other indirect policy execution costs. The results of the dynamic analysis reveal that the negative economic impact has hysteresis and persistence. Different from previous studies, this paper considers the cross effects of different policies and examines the comprehensive effect of the policy package under the “Dual-Control” regulations. The conclusion provides a supplement to revealing the relationship between government regulation and energy conservation and emission reduction.

Financial–industrial integration, green technology innovation, and enterprise’s green development performance: an empirical analysis of 625 listed industrial enterprises of China

Financial–industrial integration, green technology innovation, and enterprise’s green development performance: an empirical analysis of 625 listed industrial enterprises of China

Green Growth, Carbon Intensity Regulation, and Green Total Factor Productivity in China

Based on input-oriented Malmquist productivity index and parametric decomposition approach, this paper measures China’s green total factor productivity (TFP) index and its growth sources using a panel dataset of 30 provinces of China mainland from 1997 to 2014, and assesses the effect of CO2 intensity regulation on the green TFP growth in China. The results show that the green TFP has been growing at a yearly averaged rate of -1.51% during this period. The results also indicate that the policy of CO2 intensity regulation does not generate significant effect on the green total factor productivity of China’s provinces when using the two stage least squares (2SLS) estimator to control for the potential endogeneity biases. On the other hand, there exists significant heterogeneity in the effect of the CO2 intensity regulation on the green TFP of China’s provinces. Specifically, the CO2 intensity regulation promotes the green development performance of provinces in the eastern area, while it does not generate obvious impacts on the green TFP of provinces in both central and western areas.

Does producer services agglomeration improve urban green development performance of the Yangtze River Economic Belt in China?

How the producer services agglomeration affects the urban green development performance is important for the future urban green development of the Yangtze River Economic Belt in China. We investigate the impacts of producer services specialized agglomeration and diversified agglomeration on urban green development performance in the Yangtze River Economic Belt from 2009 to 2018. Empirical results show that: (1) Urban green development performance experiences first decline and then increase, with 2015 as the turning point. (2) The impact of specialized agglomeration on urban green development performance is significantly positive, and the impact of diversified agglomeration is opposite. (3) From the perspective of regional differences, the specialized agglomeration of Yangtze River Delta urban clusters in the downstream improves the urban green development performance, while the diversified agglomeration inhibits the urban green development performance; The influence of the two agglomeration modes of Chengdu-Chongqing urban clusters and Yunnan-Guizhou urban clusters in the upstream is opposite to that in the downstream; In the midstream, the impact of diversified agglomeration of Wuhan urban clusters on urban green development performance is significantly positive, while the impact of specialized agglomeration of Changsha-Zhuzhou-Xiangtan and Poyang Lake urban clusters on urban green development performance is significantly negative. (4) The agglomeration of different types of industries has different effects on urban green development performance. Compared with low-end industrial agglomeration, high-end industrial agglomeration is effective in promoting urban green development performance. Policy makers should choose differentiated urban green development strategies, according to the characteristics of producer services agglomeration in different regions.

DPSIR-TOPSIS Model-Based Assessment of Green Development Performance in Beijing, Tianjin, and Hebei

Green development is an important way to achieve sustainable development. In recent years, it has become one of the main research hotspots. Based on the principle of the DPSIR model, this paper constructed a green development evaluation index system including 17 second-level indicators from five first-level indicators, namely the driving force indicator, pressure indicator, state indicator, impact indicator, and response indicator, and used TOPSIS model to evaluate the green development of Beijing-Tianjin-Hebei region from 2010 to 2020. The results show that :(1) the closeness index of the driving force and pressure indicator layer generally shows a fluctuating trend of first rising and then falling, the closeness index of the state layer shows a fluctuating downward trend, the influence indicator layer shows an overall upward trend, and the closeness index of the response indicator layer shows a trend of first declining and then rising. (2) Due to the existence of regional heterogeneity, the green development of Beijing is higher than that of Tianjin, and the green development of Tianjin is slightly higher than that of Hebei. The Beijing-Tianjin-Hebei region needs to form cohesion in green development governance. (3) It is found that the economic growth rate of the Beijing-Tianjin-Hebei region is very fast, but in terms of green development, there is still an extensive development trend with high input and high consumption.

DPSIR-TOPSIS Model-Based Assessment of Green Development Performance in Beijing, Tianjin, and Hebei

Green development is an important way to achieve sustainable development. In recent years, it has become one of the main research hotspots. Based on the principle of the DPSIR model, this paper constructed a green development evaluation index system including 17 second-level indicators from five first-level indicators, namely the driving force indicator, pressure indicator, state indicator, impact indicator, and response indicator, and used TOPSIS model to evaluate the green development of Beijing-Tianjin-Hebei region from 2010 to 2020. The results show that :(1) the closeness index of the driving force and pressure indicator layer generally shows a fluctuating trend of first rising and then falling, the closeness index of the state layer shows a fluctuating downward trend, the influence indicator layer shows an overall upward trend, and the closeness index of the response indicator layer shows a trend of first declining and then rising. (2) Due to the existence of regional heterogeneity, the green development of Beijing is higher than that of Tianjin, and the green development of Tianjin is slightly higher than that of Hebei. The Beijing-Tianjin-Hebei region needs to form cohesion in green development governance. (3) It is found that the economic growth rate of the Beijing-Tianjin-Hebei region is very fast, but in terms of green development, there is still an extensive development trend with high input and high consumption.

Research on supporting developing countries to achieve green development transition: Based on the perspective of renewable energy and foreign direct investment

Transitioning to green development and decarbonizing the energy consumption structure is important for developing countries and global climate change governance. In developing countries, however, sustainable development is more difficult due to financial and technological constraints. This study was undertaken to investigate how foreign direct investment and renewable energy utilization can support developing countries in achieving green development, and to identify the complex relationships among internal and external influencing factors. A state-of-the-art data envelopment analysis method, coupled with the global non-radial directional distance function and a meta-frontier Malmquist index, measures the green total factor productivity and efficiency of 77 developing countries. A causal network that reflects both long-term and immediate relationships between green development performance and impact factors was constructed by embedding Geweke causal decomposition into Granger causality test. The study found that most developing countries are at the stage of high green levels and slow development, with the lack of green development potential serving as a hidden problem hindering their green development. The power and emission reduction technologies, economic agglomeration effect and industrial restructuring that foreign direct investment brings are contributing to green development achievements of developing countries, among which infrastructure construction, renewable energy investment, employment rate, and research and development investment are important transmission channels. With both long-term and immediate causalities to the economy, energy and industry of the host country, foreign direct investment is a key node of the causality network. In addition to helping developing countries achieve green development transition, this study provides information on the investment propensity and selectivity of investing countries.