Search Results (162)

As an environmental policy, the Action Plan of Atmosphere Pollution Control in Beijing-Tianjin-Hebei and Surrounding Areas in Autumn and Winter (Action Plan of APC) was implemented in 2017, with the goal of achieving the sustainable growth of the regional economy. This study examines the effect of the Action Plan of APC on green total factor productivity (GTFP) in the Chinese construction industry employing a difference-in-differences (DID) approach. The findings indicate the following: Firstly, the environmental policy of the Action Plan of APC has significantly improved the GTFP of the aforementioned areas, and the result is still valid after robustness testing; secondly, the dynamic effect testing reveals that the influence follows an increasing trend over time; thirdly, due to the different degrees of marketization, the influence of the Action Plan of APC on GTFP in Chinese construction industry exhibits notable regional heterogeneity. From the perspectives of both the government and enterprises, this study offers recommendations for promoting the GTFP of China’s construction industry. It also provides a novel framework for assessing the effect of environmental policies on the GTFP of the Chinese construction industry. Full article

Industrial agglomeration (IA) is an important factor in promoting forestry development, which has a notable impact on green total factor productivity (GTFP). IA can generate a “scale effect”, but excessive agglomeration may also bring a “crowding effect”, ultimately leading to an inverted U-shaped impact of IA on GTFP. How do these two effects work? From the perspective of agglomeration externalities, this study explores the intermediate role of labor pooling, input sharing, and knowledge spillover to clarify the mechanism between IA and GTFP. This study calculates forestry GTFP of Chinese provinces from 2004 to 2021 and empirically tests the inverted U-shaped relationship between IA and GTFP. It further examines the mediating and moderating effects of agglomeration externalities. The findings reveal that most provinces are still in the “scale effect” stage, but as IA intensifies, the “crowding effect” gradually becomes increasingly evident. Additionally, “crowding effect” is most significant in the eastern region and forestry industrialization areas. Therefore, this study proposes policy measures based on regional differences to promote the green development of the forestry sector. Full article

The integration of financial technology expenditures and green total factor productivity (GTFP) constitutes a critical impetus for sustainable economic advancement. This study employs provincial panel data from China (2012–2020) and uses the SBM model with undesirable outputs, the PVAR model, moderation effect analysis, and threshold regression to investigate the underlying mechanisms and threshold effects of financial technology expenditure on GTFP. The results show that (1) financial technology expenditure has a significant promoting effect on the growth of GTFP, with a coefficient of 0.614 (p < 0.05), indicating the need for further increases in fiscal investment in science and technology; (2) the effect of financial technology expenditure on GTFP varies across the eastern, central, and western regions of China, with stronger effects observed in the eastern region, suggesting that the government should formulate differentiated financial technology expenditure policies on the basis of local conditions; and (3) that educational investment and industrial upgrading play strong moderating roles in the impact of financial technology expenditure on GTFP, with interaction term coefficients of 0.059 (p < 0.05) and 0.206 (p < 0.1), respectively. Threshold analysis further reveals that the positive effect strengthens significantly once educational investment surpasses a log value of 9.3674 and industrial upgrading exceeds a ratio of 0.0814. However, currently, China’s education investment and industrial structure upgrading are still insufficient, necessitating further increases in education investment and promoting the transformation and upgrading of the industrial structure. Full article

With the development of urban scale and economic growth, the challenges posed by limited resources and insufficient environmental carrying capacity become increasingly severe, making the sustainable improvement of production efficiency an urgent requirement. Based on panel data for cities in the Dianzhong Urban Agglomeration and the Chengdu–Chongqing Economic Circle in Southwest China (2012–2021), this study elucidates the positive effect of urban compactness on green total factor productivity (GTFP). By constructing a composite index to measure urban compactness and employing an SBM model to quantify GTFP, we find that a 1% increase in urban compactness leads to a 0.65% increase in GTFP. A mediating-effect analysis reveals that green technological innovation serves as a significant mediator, with a mediating effect value of 0.363. Heterogeneity analysis uncovers differing mechanisms of influence: urban compactness exerts a positive effect in regions with higher levels of economic development, while its impact is not significant in regions with lower economic development, indicating that the effect of compactness varies with economic context; the impact of urban compactness on GTFP is statistically insignificant in regions with higher tertiary sector shares (p > 0.1), whereas it exhibits a highly significant positive effect in regions with lower tertiary sector presence (β = 1.49, p < 0.01). These results collectively demonstrate that the influence of urban compactness on GTFP varies significantly with industrial structure composition. Threshold-effect analysis further shows that there is a threshold in the proportion of industrial output value, beyond which the influence of compactness on GTFP becomes even stronger. Our research quantitatively explores both linear and nonlinear relationships between urban compactness and GTFP, clarifying the linkage between urban spatial dynamics and green production efficiency, and provides empirical evidence and scholarly support for urban planning and economic development. Full article

It is increasingly recognized that the twin transitions of digitalization and green transformation are pivotal to achieving sustainable development. This study examines how digital trade affects corporate green total factor productivity (GTFP), using panel data from Chinese A-share listed firms and 287 prefecture-level cities in Mainland China from 2012 to 2022. The results demonstrate that digital trade exerts a significant positive impact on GTFP, primarily through improvements in technical efficiency, with heterogeneous effects across different stages of the corporate life cycle. Endogeneity concerns are carefully addressed through instrumental variable estimation and quasi-experimental designs, and robustness checks confirm the reliability of the findings. Mechanism analyses further reveal that digital trade enhances GTFP by stimulating green technological innovation and optimizing supply chain management. Importantly, threshold regression reveals non-linear effects. Both the level of digital trade and institutional factors, such as environmental regulation, intellectual property protection, and market integration, moderate the relationship between digital trade and GTFP in U-shaped, N-shaped, and other positive non-linear patterns. These insights enhance the understanding of how digitalization interacts with institutional contexts to drive sustainable productivity growth, providing practical implications for policymakers seeking to optimize digital trade strategies and complementary regulatory frameworks. Full article

As participants in sustainable development, corporations face the important and controversial issue of whether they can promote corporate sustainability through environmental, social, and governance (ESG) practices. To address this issue, we examine the relationship between ESG performance and corporate sustainability, measured by green total factor productivity (GTFP). Using a panel dataset of 17,559 firm-year observations from non-financial firms listed on the Shanghai and Shenzhen stock exchanges in China between 2011 and 2019, we employ fixed-effects regression models and two-stage least squares (2SLS) with instrumental variables to empirically test the impact of ESG ratings on GTFP, identify the underlying mechanisms, and examine potential heterogeneity across firms. The results show that higher ESG ratings are significantly associated with increased GTFP. Mediation analysis further reveals that this positive relationship operates through reduced financing constraints and enhanced green innovation. Notably, the mediating role of financing constraints is more pronounced for firms with greater reliance on external capital. Heterogeneity analysis indicates that ESG ratings exert stronger effects in eastern regions, pollution-intensive sectors, and state-owned enterprises. These findings provide empirical support for the role of ESG performance as an effective mechanism to advance corporate sustainability through ethics-driven financial access and innovation capability. Full article

This study examines the impact of capital market openness on corporate green total factor productivity (GTFP) using a quasi-natural experiment based on the Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connect policies. Employing a multi-period difference-in-differences (DID) approach, the findings reveal that capital market openness significantly enhances corporate GTFP through two primary mechanisms: strengthening firms’ green financial resources and technological innovation (green “hard strength”) and improving corporate environmental governance, green information disclosure, and managerial green expertise (green “soft strength”). Further heterogeneity analysis suggests that firms with greater institutional investor engagement, higher market competition, and non-state ownership exhibit stronger responses. These results provide policy insights into leveraging financial liberalization to drive corporate sustainability and green economic growth. This study highlights the role of financial markets in supporting global carbon neutrality and sustainable development goals. Full article

The global challenge of water resource management presents a policy dilemma: while water resource tax aims to foster green development, it may hinder the economic potential of micro entities. This paper evaluates the efficacy of a trial of water resource tax reform in China regarding the green total factor productivity of listed Chinese industrial enterprises over the period spanning 2012–2019 by employing a quasi-natural experiment. This study utilizes multi-period Difference-in-Differences (DID) and propensity score matching methodologies to deal with the self-selection bias inherent in choosing pilot areas. The findings illustrate that the reform exerted a crucial beneficial impact on the GTFP of industrial enterprises. The main takeaway of this study is that the phased reform, integrating water resource taxes with the adaptation of micro entities, offers a pathway for economies to balance resource restrictions with sustainable development. Full article

This study examines the influence of digital transformation (DT) on green total factor productivity (GTFP) for A-share-listed energy enterprises from 2013 to 2022. The study findings demonstrate that DT can be advantageous in improving GTFP, and this conclusion remains valid even after performing the endogeneity treatment and the robustness test. The mechanism test suggests that improving green technology innovation and alleviating financing constraints are significant transmission paths. The heterogeneity analysis’ findings show that state-owned enterprises, large-scale enterprises, and new energy enterprises benefit more significantly from DT’s favorable efficacy in improving GTFP. By focusing on energy enterprises, this study expands upon the prior research on digital transformation in the micro field. Moreover, this study reveals the critical path of digital transformation in enhancing GTFP, thus enriching its theoretical connection. GTFP will be enhanced by the joint development of digital facilities by enterprises and the government, as well as using distinct digital strategies. Full article

Balancing economic growth with the decline in ecosystem service functions presents a critical global challenge in the 21st century. In response to the United Nations Development Programme’s emphasis on localizing Sustainable Development Goals, China has devised policies aimed at synergistically advancing high-quality economic development (HQED) and high-level ecological environment protection. However, research exploring the interplay between regional HQED and green space ecosystem services (GSES) remains limited. Consequently, this study examines Shanxi Province, a prototypical resource-based region in China, to develop localized metrics for green total factor productivity (GTFP) and the valuation of green space ecosystem services (GSESV). It quantifies the efficiency of HQED and the growth rate of green space ecological benefits (GSEB). Employing coupling coordination models, Theil indices, cluster analysis, and enhanced grey relational techniques, the research scrutinizes the evolutionary patterns and driving factors of coupling and coordination between HQED and GSEB across various spatial scales from 2007 to 2020. Significant findings include (1) an overall increase in HQED efficiency across all spatial scales, accompanied by a decline in green technological progress (GTC); (2) a sustained growth trend in GSEB per hectare across the province, with the southeastern region, particularly Jincheng, leading; (3) a level of coordination between HQED and GSEB across the province that surpasses the preliminary stage, albeit with pronounced regional disparities, notably the lagging and unstable coordination in the southern regions; (4) significant driving effects of industrial “three wastes” and industrial transformation on the coordinated evolution between HQED and GSEB across all spatial dimensions, with notable impacts of innovation input–output in central, southern, and southeastern Shanxi. This research offers new strategic insights for the synergistic development of the economy and ecology in Shanxi Province and contributes novel theoretical foundations for formulating sustainable development policies globally. Full article

The manner of achieving high-quality economic development in China through artificial intelligence (AI) has become a focus of academic attention. On the basis of panel data of prefecture-level cities in China from 2010 to 2021, this research utilizes the exogenous impact of the implementation of the National New Generation Artificial Intelligence Innovation and Development Pilot Zone (AIPZ) to explore the causal effect between AI and green total factor productivity (GTFP). The results are as follows: (1) AI has a significant enhancement effect on urban GTFP. After using a series of robustness tests, such as parallel trend sensitivity test, heterogeneity treatment effect test, and machine learning, this conclusion remains robust. (2) Subsequent mechanism analysis shows that the impact of AI on urban GTFP is mainly achieved by enhancing urban green innovation, promoting industrial structure upgrading, and reducing land resource misallocation. (3) Lastly, the effect of AI on urban GTFP is heterogeneous. AI has also markedly significant enhancement effects on high human capital, non-resource-based economies, and high levels of green consumption behavior. This study provides useful insights for China to develop AI and achieve green development. Full article

The digital economy has emerged as a transformative force, creating new opportunities for sustainable development, especially within the marine fisheries sector. This study examines the impact of the digital economy on the green total factor productivity (GTFP) of fisheries in China’s coastal regions from 2011 to 2022. Using panel data from 11 coastal provinces, we employ the Slack-Based Measure (SBM) model and the Global Malmquist–Luenberger (GML) index to assess GTFP and analyze the effects of digital economic development. Our findings indicate the following: (1) the digital economy significantly enhances fishery GTFP, improving both resource efficiency and environmental sustainability; (2) the impact varies across regions, reflecting notable regional heterogeneity in digital infrastructure and adoption; and (3) a threshold effect exists, whereby the influence of the digital economy on GTFP varies depending on the level of digital economic development. This research underscores the dual role of digital technologies in boosting fisheries’ economic productivity while promoting greener, more sustainable practices. This study provides valuable insights for policymakers aiming to integrate digital transformation into the sustainable development of marine fisheries. Full article

Improving the green total factor productivity (GTFP) of publicly listed companies in the livestock sector is essential for achieving sustainable and high-quality development in China’s agricultural industry. This study proposes an integrated analysis framework for the advancement of GTFP, focusing on internal resource allocation and external business environment configurations. Using panel data from 32 publicly listed companies in China’s livestock sector covering the period 2016 to 2021, we apply the dynamic qualitative comparative analysis (QCA) and necessary condition analysis (NCA) methodologies to explore the configuration pathways for multiple factors that influence GTFP, aiming to identify the mechanisms that drive these pathways in publicly listed livestock companies. The findings reveal that individual antecedent conditions are not essential for achieving high green total factor productivity (GTFP) in firms. Rather, internal and external factors jointly facilitate GTFP enhancement, resulting in three distinct configurational pathways that share the equivalence of “diverse configuration pathways leading to the same objective”. Over time, the consistency level of each configuration pathway fluctuates above 0.94, demonstrating their stability over the study period. In terms of individual companies, the explanatory power of each configuration remains uniform across enterprises, exhibiting no significant differences. This study expands the scope of GTFP-related research and advances the application of the dynamic QCA method. It also provides enlightenment for policymakers to refine sectoral regulations and for companies seeking strategies to improve GTFP. Full article

New urbanisation is crucial for agricultural green transformation and ensuring food and ecological security. Taking Jilin Province as its focus, this study constructs a new urbanisation index system covering four dimensions—population, economy, society, and ecology—and adopts the entropy method to assess its development level and measures agricultural green total factor productivity (GTFP) with the SBM-GML model, which accounts for non-desired outputs. The analysis of panel data and a fixed effects model from 2008 to 2022 finds that both new urbanisation and agricultural GTFP in Jilin Province show an upward trend. Additionally, new urbanisation has a significant positive impact on agricultural GTFP and indirectly enhances efficiency through the proportion of employees in the primary industry. Regional analyses show that the central region has a leading urbanisation level, but regional development is imbalanced; the growth of agricultural GTFP mainly relies on green technology progress, and the decline in technical efficiency requires careful attention. Based on this, it is recommended to promote urban–rural integration and high-quality agricultural development by optimising the spatial layout of new urbanisation, promoting agricultural technological innovation, and promoting industrial restructuring and synergistic development policies. Full article

Environmental challenges, particularly the emission of greenhouse gases (GHGs), pose significant threats to global sustainability. Sustainability requires achieving economic growth and social progress while minimizing environmental degradation, improving resource efficiency, and ensuring long-term ecological balance. At present, many studies have shown that carbon taxes may negatively impact the economy. However, environmental regulations also drive firms to pursue green technological innovations, thereby promoting progress. Previous studies on the regulatory measure of carbon taxes have often overlooked the potential influence of green technological progress on economic outcomes. To address these gaps, our research selected panel data from 30 provinces in China, spanning from 2005 to 2021, and employed the System Generalized Method of Moments (SYS-GMM) to evaluate the effect of carbon taxes on green total factor productivity (GTFP) and green total factor energy efficiency (GTFEE). The regression results, representing the green technological progress coefficient, are then incorporated into the China Energy-Environment-Economic Analysis 2.0 (CEEEA2.0) model. We also add carbon tax recovery to this model in order to analyze their economic impact from the new perspective of green technological progress. The SYS-GMM findings suggest that carbon taxes positively impact GTFP and GTFEE, with impact coefficients of 7.2% and 3.4%, respectively. The CEEEA2.0 model reveals that, without considering green technological progress, the introduction of carbon taxes negatively impacts the economy. However, this impact may turn into a positive one when green technological progress is considered. Additionally, carbon tax recovery measures help mitigate economic losses or enhance gains. Overall, this study offers a fresh perspective for modeling carbon tax implementation and holds both theoretical and practical significance and provides actionable insights into designing carbon tax policies that balance economic growth, social equity, and environmental sustainability. Full article