Green Development Performance Research Articles

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.

Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China.

In the context of continuing to promote the construction of an ecological civilization, it is of great significance to explore green development performance. However, most of the literature is based on a single perspective of level or efficiency, lacking a comprehensive examination of both. It is not scientific to explore how to promote green development only from a single perspective, which may be a new advancement by breaking the conventional thinking focusing only on level or efficiency. On this basis, we first established evaluation index systems of green development performance based on a theoretical framework. Furthermore, green development performance was measured with the entropy weight technique for order preference by similarity to ideal solution (TOPSIS) and super-EBM models, and finally, we analyzed the spatial and temporal evolution patterns of green development performance using the ESDA method and examined its influencing factors with a geographic detector (GD) and econometric models. The main results were as follows: (1) The trend of the green development level in the Yangtze River Economic Belt from 2004 to 2017 had an inverted “N” shape, while the overall average green development efficiency continuously increased. (2) In terms of spatial and temporal patterns, both the green development level and green development efficiency showed “high in the east and low in the west” spatial divergence characteristics. In terms of the spatial and temporal evolution pattern of the green development level, the L-L clusters were mainly distributed in the western region. However, for green development efficiency, the L-L clusters were mostly distributed around the H-H clusters. (3) The results of the influencing factor analysis indicated that industrial structure and people’s welfare are still important factors of the green development level. The improvement of green development efficiency was mainly driven by economic development, and the inhibiting effect of energy consumption is significant. In addition, the effect of opening up has not yet changed from a “pollution paradise” to a “pollution halo”.

Peningkatan Kinerja Pengembangan Produk Berkelanjutan Berbasis Budaya Organisasi Lingkungan Dan Kapasitas Daya Serap Keberlanjutan

This study aims to build a conceptual model that seeks to improve the performance of green product development proposed. In this study, the improvement of green product development performance based on environmental organizational culture and green absorption capacity. A construction study methodology was adopted using 200 samples taken from various elements of employees in the manufacturing industry in Central Java and data collected through questionnaires, to test the models and hypotheses in this study, using the author Amos 25 as a tool. data analysis. The results of this study indicate that there is a strategic path to improve product development performance and the second strategy is from organizational culture. green product development. Limitations: This study has limitations, including not being able to define specifically the organizational culture environment. In addition, the sample used is only limited to organizations engaged in the manufacturing industry in the province of Central Java. The results of this study are expected to have a contribution to the development of organizational culture theory and stakeholder theory.

The Role of Government Innovation Support in the Process of Urban Green Sustainable Development: A Spatial Difference-in-Difference Analysis Based on China's Innovative City Pilot Policy.

The role of government support in sustainable urban development has always been a research topic of scholars, but research focusing on the relationship between government innovation support and urban green sustainable development is still relatively rare. This article uses China’s innovative city pilot policy (ICPP) to represent the innovation support provided by the government and address the interaction mechanism and the spatial spillover effect of China’s innovative city pilot policy (ICPP), green technology innovation (GTI), and green sustainable development performance (GSDP) with the support of the mediating effect model and the spatial econometric model. Based on panel data of 24 cities in the Yangtze River Delta urban agglomeration from 2001 to 2020, this paper establishes an evaluation index system of green sustainable development performance (GSDP), measuring with the SBM directional distance function based on the undesired output. This paper adopts the spatial difference-in-difference model (SDID) to study the impact mechanism of the ICPP on the GSDP in the Yangtze River Delta. The results show that (i) there is a positive spatial spillover effect of GSDP in the urban agglomeration of the Yangtze River Delta urban agglomeration; (ii) ICPP has a significantly positive effect on GSDP, as verified by several robustness checks; (iii) green technology innovation plays a partial mediating effect in the relationship of the ICPP and GSDP.

The Influence of Green Product Development Performance to Enhance Enterprise Effectiveness and Innovation

Climate change and environmental crises are currently affecting the living environment of both people and the planet in general. This necessitates businesses to have a prompt and effective response to minimize or improve the harmful effects that lead to environmental imbalance and fulfill corporate social responsibility through focusing on transitioning to a model of sustainable economic development and encouraging the development and production of green products. This study discovers that the five factors green creativity, green dynamic capabilities, green transformational leadership, reactive green innovation, and proactive green innovation have a positive influence on and aid in the creation of exceptional green product development performance. A survey questionnaire was used to collect data for this research with the participation of more than 1000 people. These figures reveal that the participants are people who are knowledgeable about environmental issues and are actively interested in environmental protection (as well as people who have used green products). Research using software to support SPSS.20 and AMOS.24 to test the hypotheses. The study serves as a framework to help businesses better comprehend the relationship between economics and the environment with the purpose of providing valuable data and raising awareness for innovation in development models for businesses and organizations.

EVOLUTION AND INFLUENCING FACTORS OF THE GREEN DEVELOPMENT SPATIAL ASSOCIATION NETWORK IN THE GUANGDONG-HONG KONG-MACAO GREATER BAY AREA

Accurately grasping the structural characteristics and influencing factors of green development spatial association are significant for green coordinated development and ecological civilization construction in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). This study evaluates the GBA’s green development performance from 2015 to 2019 based on duality theory, and uses social network analysis to explore the structural characteristics and evolution of the green development spatial association network, and then uses the exponential random graph model to reveal the influencing factors of network formation. we find that: (1) the GBA’s green development is steady. Its spatial association network became increasingly complex, and tends to be tight. (2) As important hubs, Guangzhou, Shenzhen, and Hong Kong have the dominant positions in the GBA’s green development spatial association network. Huizhou, Jiangmen, Zhaoqing, and Macao are at the edge of the network, and their interoperability with other cities is relatively weak. (3) Four subgroups exist in the GBA during different periods, with obvious gradient characteristics between them, and the multilevel transmission mechanism of the green development network gradually forms. (4) Economic development and urbanization level, ecological environment endowment, and geographical, institutional, and industrial proximity all have significant impacts on the formation of the GBA’s green development spatial association network.

How Fast Are the Asian Countries Progressing Toward Green Economy? Implications for Public Health.

Monitoring progress toward green economy has been a key policy focus globally. The purpose of our study is to assess Asian countries' green development performance and also the progress toward green economy overtime. To achieve this goal, we propose a green development index (GDI) to assess the level and ranking of green development for Asian countries, and then we measure the progress toward green economy by the method based on the compound annual growth rate (CAGR). The result shows that the northeast Asian countries together with Singapore and Israel are leaders in green development performance across Asia, but the most progress toward green economy has been achieved by some medium green development level countries, like China. Countries with the fastest movement away from green economy are some laggard countries with poor green development performance, such as Syria and Yemen. More generally, the leading countries have reached a high green development level, and the medium ones move fast toward green economy, whereas some laggards get worse. We also discuss the implications for public health in environmental protection, green consumption, and green production.

Nexus of Political Connections with Green Financial Development and Fiscal Performance

Green finance is an important guarantee to promote the development and structural transformation of green industries in China and is also the power source to implement the concept of green development during the "13th Five-Year Plan". The development of green finance is inseparable from the support of financial and taxation policies. Based on this background, there is a certain connection between green finance and corporate values. When companies strengthen their political relations, there will be certain positive and negative effects on the company's future development. Green development should be the goal, and the financial and tax performance of companies should be enhanced in strengthening the development of green finance. The most important thing for companies, regardless of the industry, is to interact with the government to improve their development goals and performance, maintain their rights and interests through political relations and policies, and obtain government support to achieve sustainable development of the company. Therefore, this study focuses on the political relationship between green finance development and financial performance and examines the intervention of political ties on corporate green investment and corporate performance. The results confirm that politically connected companies have more resources and protect the natural environment while improving their financial performance.

Spatiotemporal evolutions and driving factors of green development performance of cities in the Yangtze River Economic Belt

Assessing green development performance is of great significance for guiding cities to realize coordinated urban development. Considering that green development is a complex system that couples social economy and resource environment, an index system that contains 26 indicators for measuring the green development performance of cities in the Yangtze River Economic Belt (YREB) was constructed from three perspectives: green growth degree, green carrying capacity and green guarantee capability. The green development performance of 110 prefecture cities in the YREB during 2011–2017 were assessed based on the entropy weight method, and then the driving factors of cities' green development performance were analyzed by using the obstacle degree model. The results show that the green development performance of cities in the YREB had increased from 2011 to 2017 with an average growth rate of 19.16%, but overall was not high. Especially, green guarantee capability of most cities was low and didn't improve much during 2011–2017. The green development performance of cities in the YREB overall presented high in the east and low in the west, with the cities of medium-high and high values mostly concentrated in the economically developed areas, such as the lower reach of the YREB and the provincial capital cities. Specifically, cities in the lower reach of the YREB, especially Shanghai, Zhejiang and Jiangsu, had the highest level of green development, but with relatively low growth rate. The cities in the upper and middle reaches of the YREB had relatively low level of green development, but the overall growth rate was high, especially the Guizhou province has the highest growth rate of 35%. The obstacle factors analysis revealed that insufficient economic development, poor green life guarantee capability and incomplete ecological protection were key factors affecting the green development performance of cities in the YREB. Based on these findings, we suggest that to further strengthen the ability of economic growth and enhance public infrastructure service and ecological and environmental protection are important for promoting the level of green development in the YREB.

Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China

This paper constructs an enterprise green development performance system by integrating green development concept and enterprise performance measurement. Based on the panel data of 458 industrial listed enterprises in China from 2011 to 2018, this paper simulates the green development performance index of industrial enterprises by using the functional data analysis method and functional entropy weight method. There are four main conclusions. First, the change in the green development performance index of industrial enterprises is U-shaped, which shows an upward trend overall. Within a range of [0.006–0.05], the minimum value is 0.006, and considering the strength and trend of future policies there is no maximum value. The higher the value is, the higher the level of green development of industrial enterprises. Second, according to the weight and fitting curves, we can find that the importance and development level of social performance are at the highest, and the importance level basically floats around 0.5, far higher than the average level. The importance of economic performance and the development level of innovation performance are at the lowest respectively, and there is a big gap with the average level. Third, the shape and trend of the index generated by the average weight and the subjective weight of social performance are basically consistent with the index generated by the objective weight. This shows that the index is not sensitive to the weight and has certain robustness and representativeness. Finally, according to the location of enterprises, they were divided into three categories: middle, east and west. The boost Trap method was used to conduct FANOVA (Functional ANOVA) with the P value of 0.314. The results showed that the index did not differ significantly between regions at the significance level of 0.05.

Environmentally specific transformational leadership and green product development performance: the role of a green HRM system

PurposeGreen product development is a pivotal way to achieve environmental sustainability. The purpose of this paper is to theorize and empirically test how environmentally specific leadership enhances the green product development performance from the perspective of the HRM system. In this regard, the authors investigate the mediating role of the strength of the HRM system to change with regard to the relationship between environmentally specific leadership and green product development performance. For a substantial explanation of the boundary condition, the authors investigate the moderating role of the green HRM on the relationship between environmentally specific transformational leadership and the strength of the HRM system.Design/methodology/approachBased on climate strength theory, the authors use the three-wave survey data from 362 top or middle managers in the new energy industry of China. This study uses hierarchical linear regression and bootstrapping method to analyze the mediated moderation effect.FindingsResults confirm a positive effect of environmentally specific leadership and the strength of the HRM system on green product development performance. The authors also found the mediation effect of the strength of the HRM system and the moderation effect of green HRM are all significant.Originality/valueThis study integrates the perspectives of both content-focused HRM and process-focused HRM and demonstrates why leadership and the HRM system could jointly enhance green product development performance in Asia.

Temporal-Spatial Evolution and Driving Factors of the Green Total Factor Productivity of China’s Central Plains Urban Agglomeration

As China’s largest urban agglomeration with rapid growth of economy and population, the development of the Central Plains Urban Agglomeration (CPUA) has been severely restricted by environmental problems. Thus, the green development performance of the CPUA is worth studying. This study used the panel data of 29 cities in the CPUA from 2003 to 2018 based on the Slacks-based Measure and Global Malmquist–Luenberger index to measure the green total factor productivity (GTFP) and its decomposition index of each city. A spatial econometric model was developed to explore the factors affecting the GTFP of the CPUA. The results show that the GTFP of the CPUA had an upward trend in 2003–2018, but the productivity level was still low. There were significant spillover effect in the GTFP among different cities of the CPUA. The results of the spatial measurement model show that technological progress, industrial structure and solid waste environmental regulationhave a significant positive spillover effect on the GTFP. The, fiscal expenditure, and informatization level also have positive impacts on the GTFP. In the future, local government should provide technical and financial support for the development of green industries in the CPUA, and accelerate the construction of environmental protection infrastructures.

Comprehensive Measurement and Regional Imbalance of China’s Green Development Performance

This study adopted the two-stage super-efficiency network slack-based model (SBM) to measure the green development performance index (GDPI) of 30 provinces in China. The Dagum Gini coefficient decomposition was used to analyze the regional differences and their sources in China’s green development performance. The results are as follows: first, the green development performance showed a declining trend from 1997 to 2017. The improvement of environmental governance efficiency was the key to achieving green development progress. The green development levels of coastal areas were significantly higher than those of inland provinces. Second, the regional imbalance in China’s green development performance was gradually worsening. The inter-regional differences were the primary source of the overall differences. The intra-regional difference of green development within the northwest was the largest. Third, among the eight regions, only the southwest region had σ convergence in green development performance; in addition, absolute β convergence and conditional β convergence were divergent, thereby confirming the regional imbalance of the widening regional differences in China’s green development performance. This study aimed to provide a scientific basis and effective reference for further advancing China’s regional coordinated development strategy.

Green Agricultural Development Based on Information Communication Technology and the Panel Space Measurement Model

This study was conducted to promote the construction of China’s ecological civilization; to reduce harm to the environment; to quantify the performance of agricultural green development (GD); and to truly achieve green, sustainable, and healthy agricultural development. From the perspectives of resources and the environment, first, information communication technology and the panel space measurement (PSM) model were adopted to analyze relevant indicator data from 2000 to 2019 in China’s 30 provinces. Second, China’s agriculture was measured to explore the overall characteristics, temporal changes, and regional differences of agricultural development. A panel data measurement model was constructed using the generalized least squares method, and the main factors affecting performance development were analyzed, which were verified by giving examples. Third, the governance countermeasures and improvement directors were proposed for agricultural GD in China. It is found that the driving force of performance of agricultural GD in China mainly depends on technological progress and that technological efficiency determines the speed of agricultural development. The regional differences in performance of agricultural GD are obvious in China. The growth in the performance of agricultural GD in the eastern region is much higher than that of the central, western, and northeast regions. In addition, the results show that the performance of agricultural GD is extremely positively correlated with the agricultural economic level, fiscal support for agriculture policy, and the industrialization process and that it is extremely negatively correlated with the level of opening-up, adjustment of agricultural structure, and the environmental regulatory capability of the government. As a result, this study can provide some ideas for the realization of agriculture GD in China.

How to Shape the Employees’ Organization Sustainable Green Knowledge Sharing: Cross-Level Effect of Green Organizational Identity Effect on Green Management Behavior and Performance of Members

In a period of rapid information development and response to the impact of environmentalism on the company, how to effectively promote organizational members embracing knowledge sharing behavior through knowledge management will be an important issue in corporate green management. This article proposes a new integrated multi-level research framework based on organizational identity theory and psychological ownership theory to further analyze enterprise green management. Utilizing the data of 73 supervisors and 583 subordinates in Taiwan’s small- or medium-sized enterprises, results of the hierarchical linear modeling (HLM) analysis revealed that green group identification at the team level affects organizational members in terms of green product psychological ownership and green knowledge sharing as well as how green knowledge sharing, green creativity, and green product development performance are influenced when members get their green product psychological ownership. The results of the study validate the antecedents and consequences of green knowledge sharing and broaden the field of knowledge management for green management related to environmental behavior and performance, aside from providing valuable insights for relevant practitioners.

How to Shape an Organization’s Sustainable Green Management Performance: The Mediation Effect of Environmental Corporate Social Responsibility

Corporate social responsibility (CSR), a current mainstream issue in global corporate governance, is often used to verify a company’s financial performance and corporate image; however, few studies have focused on CSR for environmental issues. On the basis of the perspectives of the expectation value and signal theories, this study presents a new concept for determining the impact of green shared vision (GSV) on employee environmental performance (EEP) and green product development performance (GPDP), which could aid in exploring the GSV–environmental CSR (ECSR) relationship further. The current results demonstrated that ECSR contributes to enhancing EEP and GPDP. Therefore, enterprises must implement the promotion of ECSR to enhance their overall green management performance and achieve sustainable management.