Efficiency In China Research Articles

Spatial–temporal evolution and peer effects of urban green development efficiency in China

In the process of global urban development, there are urgent ecological security and environmental pollution problems, green development is the fundamental way for urban sustainable development, economic transformation and mitigation of ecological and environmental problems. Based on the panel data of 283 cities at prefecture level and above in China from 2003 to 2017, this paper analyzes spatial–temporal evolution characteristics of urban green development efficiency (UGDE) and the peer effects of UGDE between cities of different grades. It is found that during the study period, in terms of temporal evolution, the average UGDE in China increased from 0.47 in 2003 to 0.61 in 2017, with a cumulative growth rate of 29.79%, showing a rising trend in general. In terms of spatial evolution, the number of low-efficiency cities and medium-efficiency cities continued to decrease. The eastern region has always been the main distribution area of higher-efficiency cities and high-efficiency cities; in the central region, UGDE in most cities improved significantly; in the western region, UGDE has always lagged behind that in the eastern and central regions. In addition, the center of gravity of UGDE presented a trend of northwest migration in general, with a total displacement of 100.07 km, and UGDE showed a spatial dispersion trend. The empirical results indicate that the improvement of UGDE in large cities has a driving effect on that in neighboring medium cities and small cities through the positive peer effect, and the growth of UGDE in medium cities has a promoting effect on that in neighboring small cities through the positive peer effect; the increase of UGDE in medium cities has a positive peer effect on that in neighboring large cities, and the growth of UGDE in small cities has a positive peer effect on that in neighboring medium cities; UGDE promotes each other between large cities through the positive peer effect.

Towards carbon neutrality: The role of innovation and resources efficiency in China's economic transformation

This study investigates the necessary paradigm shift in redefining productivity. It achieves this by examining the complex interplay between technological innovation, efficiency in natural resource utilization, and the pursuit of green economic recovery as a path towards carbon neutrality. The research employs the Autoregressive Distributed Lag (ARDL) model to analyze the dynamics across these domains, focusing specifically on China for the period 2010–2022. Through comprehensive analysis, the study reveals significant results that illuminate potential pathways for achieving sustainable development. The findings highlight the crucial role of promoting technological innovation and optimizing natural resource use efficiency in driving green economic recovery and mitigating carbon emissions. These results emphasize the importance for policymakers to prioritize investments in innovation, resource efficiency, and green initiatives. This prioritization facilitate the transition towards carbon neutrality and foster long-term environmental sustainability and economic resilience.

The household resource efficiency and its economic determinants in China: A DEA and dynamic panel model

Identifying the level of household resource efficiency and its determinants is paramount, given its significant implications for resource governance and national-scale domestic resource planning. This study assesses household resource efficiency in China from 2016 to 2020, employing a super-SBM model alongside three waves of nationally representative longitudinal data. The investigation further delves into the intricate dynamics connecting household income, consumption propensity, and resource efficiency, utilizing maximum likelihood and structural equation modeling (ML-SEM) with dynamic panel data. Findings reveal an overall decrease in household resource efficiency levels, accompanied by diminished variation among surveyed households. Notably, a noteworthy non-monotonic relationship between household income and resource efficiency emerges, confirming a U-shaped pattern. Additionally, consumption propensity exhibits a negative influence, a trend that is further accentuated by increasing income, on household resource efficiency. These insights shed light on the complex interplay between household income, consumption, and resource efficiency, advocating for targeted policies to enhance resource management within households and on a national scale.

Can digital transformation affect coal utilization efficiency in China? Evidence from spatial econometric analyses

The swift development of digital technology in China, coupled with the escalating significance of coal resource utilization in the industrial sector, necessitates an investigation into the role of digital transformation in fostering the sustainable development of coal resources. We utilize the Spatial Dubin Model (SDM) to analyze data from 30 Chinese provinces between 2011 and 2019, exploring the relationship between digital transformation and coal utilization efficiency. Additionally, the research investigates spatial spillover effects and the moderating effect mechanism at play. Key findings reveal that: Firstly, a noteworthy positive correlation exists between digital transformation and coal utilization efficiency. Secondly, digital transformation yields significant positive impacts on proximate cities. Lastly, analysis of moderating effects indicates that digital development policies can enhance the positive association between digital transformation and coal utilization efficiency. These findings furnish novel insights and avenues for regions seeking to propel sustainable development in coal resource utilization.

Assessing Safety Efficiency in China’s Provincial Construction Industry: Trends, Influences, and Implications

Ensuring safety is crucial for promoting the sustainable growth of the construction industry. Assessing safety efficiency is of significant importance for optimizing safety management processes and improving the safety environment. However, the current mainstream methods for evaluating safety efficiency have limitations such as ignoring non-desired outputs and slack variables, the efficiency values being limited to the (0, 1) range, and a narrow perspective. To address these shortcomings, this study focuses on the characteristics of the construction industry and introduces the Super-SBM model and Malmquist index into the assessment of safety efficiency in the construction industry. The study analyzes the evolution characteristics of safety efficiency from both static and dynamic perspectives. Furthermore, using panel quantile regression models, the study identifies the factors influencing safety efficiency and analyzes their heterogeneity. Analyzing panel data from 30 provinces in China from 2015 to 2021, the results show that the overall safety efficiency of the construction industry in China is relatively low, with noticeable spatial clustering characteristics. Provinces in the eastern and central regions exhibit higher levels of construction safety efficiency. The Malmquist index demonstrates a declining trend, with technical efficiency being the primary factor limiting the improvement of safety efficiency in construction. Factors such as per capita GDP, urbanization rate, committed contract amounts, and the number of professionals engaged in survey and design, as well as engineering supervision, have an impact on construction safety efficiency, and the effects of these variables vary across different quantile levels of safety efficiency. This research can assist decision-makers in gaining a better understanding of the safety conditions in different regions of the construction industry. It can also assist in developing customized policies to enhance the health and safety environment, thereby promoting the stable development of the construction industry.

Sustainable energy efficiency in China from the perspective of environmental development: A comprehensive analysis of regional disparities and policy implications

Global agreements have emerged in order to achieve carbon neutrality as the needs for renewable energy sources and carbon reduction continue to grow. To achieve the global carbon neutrality goals, China, one of the largest carbon emitters, must improve urban energy efficiency. Using a three-stage slacks-based measure (SBM) technique, this study analyses the total factor energy efficiency of 270 prefecture-level cities from 2011 through 2020. It tries to monitor and evaluate energy efficiency without taking into account variations in the outside environment. China's total factor energy efficiency shows an overall rising trend, despite significant regional variations. Improved energy efficiency levels can be attributed to technical advancements, while limitations in technology contribute to lower energy efficiency in certain areas. The study highlights the importance of considering external environmental factors in evaluating energy efficiency, able to avoid an overestimation of China's overall energy efficiency. It is noteworthy that the eastern region consistently outperforms the national average in terms of energy use efficiency. Even after taking environmental factors out of the equation, the central, west, and northeast regions still have worse energy efficiency and slower rates of growth. On this basis, from strengthening energy management and planning; facilitating cross-regional sharing of expertise; take targeted policy measures to adapt to the characteristics of the western and northeastern regions and put forward policy suggestions. These guidelines contribute to international energy cooperation and carbon reduction initiatives, while promoting sustainable energy development in China.

The financial geographic structure, Confucian culture, and corporate asset allocation efficiency

This study investigates the influence of financial geography and regional Confucian culture on asset allocation efficiency in China's non-financial listed firms. Findings reveal that financial concentration boosts asset allocation efficiency, with Confucian culture enhancing this effect. Despite rigorous testing, these outcomes persist, highlighting the role of financial and cultural environments in improving corporate asset management and offering insights into the cultural impact on business growth.

Changes in industrial NOx emission efficiency in China: impacts of energy structure, industrial structure, and urbanization level on NOx emissions

Changes in industrial NOx emission efficiency in China: impacts of energy structure, industrial structure, and urbanization level on NOx emissions

The power of technology innovation: can smart transportation technology innovation accelerate green transportation efficiency?

Purpose The purpose of this study is to explore the causal relationship between smart transportation technology innovation and green transportation efficiency. Design/methodology/approach A comprehensive framework is used in this paper to assess the level of green transportation efficiency in China based on the instrumental variable – generalized method of moments model, followed by an examination of the impact of innovation in smart transportation technology on green transportation efficiency. Additionally, their non-linear relationship is explored, as are their important moderating and mediating effects. Findings The findings indicate that, first, the efficiency of green transportation is significantly enhanced by innovation in smart transportation technology, which means that investing in such technologies contributes to improving green transportation efficiency. Second, in areas where green transportation efficiency is initially low, smart transportation technology innovation exerts a particularly potent influence in driving green transportation efficiency, which underscores the pivotal role of such innovation in bolstering efficiency when it is lacking. Third, the relationship between smart transportation technology innovation and green transportation efficiency is moderated by information and communication technology, and the influence of smart transportation technology innovation on green transportation efficiency is realized through an increase in energy efficiency and carbon emissions efficiency. Originality/value Advancing green transportation is essential in establishing a low-carbon trajectory within the transportation sector.

The Contributions of Climate and Human Activities to Water Use Efficiency in China’s Drylands

In the context of global warming, terrestrial ecosystems have undergone significant variations. China has implemented a variety of ecological engineering methods to enhance carbon stocks. However, understanding the spatial and temporal dynamics of carbon and water in drylands under climate change remains limited. Here, our research elucidates carbon and water dynamics in China’s drylands over the last two decades, with a focus on understanding spatial–temporal changes and the effects of ecological engineering on the carbon–water cycle. Furthermore, this study investigates the relationships among climate change, water use efficiency (WUE), and its components—Gross Primary Productivity (GPP) and Evapotranspiration (ET)—identifying key climatic drivers and assessing possible directions for enhancing WUE under changing climate conditions. Our research indicates that both GPP and ET have significantly increased over the past 20 years, with growth rates of 4.96 gC·m−2·yr−1 and 4.26 mm·yr−1, respectively. Meanwhile, WUE exhibited a slight declining trend, at a rate of −0.004 gC·mmH2O·yr−1. This confirms the positive impact of vegetation restoration efforts. We found that fluctuations in interannual WUE were influenced by human activities and climate change. Precipitation (Prec) was the key climatic factor driving the GPP increase. Both solar radiation (Solra) and Prec were crucial for the interannual variation of WUE. Interestingly, WUE was the main factor affecting GPP development. The decline in WUE in drylands is linked to interannual variability in WUE and increased Vapor Pressure Deficit (VPD) due to warming. Seasonal variations in how WUE responds to climatic factors were also observed. For instance, fall rainfall increased WUE, while spring rainfall decreased it. Fall WUE was highly sensitive to VPD. Spatially, we found higher WUE in China’s eastern and Xinjiang regions and lower in inland areas and the Tibetan Plateau. Geomorphologic factors and soil conditions were the main drivers of this spatial variability in WUE. Temperature (Tem), Solra, VPD, and relative humidity (Relah) also played significant roles. Our results show a generalized inverse persistence in WUE variability. This suggests a potential for increased WUE in the eastern regions and a risk of decreased WUE on the Tibetan Plateau. Addressing the threat of vegetation decline in arid regions, particularly within the Tibetan Plateau, is crucial. It is essential to adapt forestry practices to complement the carbon and water cycles in these landscapes.

Does producer services agglomeration improve industrial energy efficiency in China?

Promoting structural transformation and energy efficiency improvement by grouping productive services is a significant action for China's targets of realizing carbon neutrality and carbon peak. This study employs the spatial Durbin model to explore the influences of the agglomeration of producer services (producer services agglomeration) on industrial energy efficiency using panel data from China, specifically from its prefecture-level cities. It turned out that the specialization producer services agglomeration has effectively improved the industrial energy efficiency of the city and its adjacent areas. However, the producer services agglomeration in diverse fields only plays a positive stimulating role in the energy efficiency standards of the city. After changing the industrial energy efficiency index, and sample size and considering endogeneity, the test results agree with the benchmark estimation outcomes. Additional research indicates that technological spillovers and manufacturing production costs exert a significant mediation influence in the process of promoting energy efficiency by producer services agglomeration. Furthermore, the producer services agglomeration has a substantial heterogeneous effect on the industrial energy efficiency due to differences in industry types of producer services. The conclusion of this article is of considerable relevance for China to rely on the producer services agglomeration to support effective energy utilization, as well as green and sustainable economic development.

Productivity versus environmental sustainability: A broadscale assessment of freshwater aquaculture's technical efficiency and ecological efficiency in China's inland provinces

AbstractPromoting the productivity and environmental sustainability of aquaculture is critical in ensuring its healthy development. This study assesses freshwater aquaculture's technical efficiency and ecological efficiency in China's 19 inland provinces from 2008 to 2019, aiming to reveal its productivity and environmental sustainability status. We employ the three‐stage Data Envelopment Analysis‐CCR (T‐DEA‐CCR) and three‐stage Slack‐Based Measure‐DEA (T‐SBM‐DEA) methods to explore the technical efficiency and the ecological efficiency while accounting for environmental conditions and random errors. The average technical efficiency and ecological efficiency during 2008–2019 are 0.857 and 0.702, respectively, indicating substantial scope for enhancing the productivity and environmental sustainability of China's inland aquaculture. We further investigate the regional development using the club convergence, finding that the provincial‐level technical efficiencies have already achieved population convergence while the ecological efficiencies diverge into two clubs, suggesting that Chinese freshwater aquaculture's productivity and environmental sustainability have different development pathways. Acknowledging the pivotal roles of environmental protection and growers' training in aquaculture's productivity and environmental sustainability, policymakers may institute funding and recognition to foster the adoption of innovative, environmentally responsible practices by operators.

Determining optimal range of reduction rates for nitrogen fertilization based on responses of vegetable yield and nitrogen losses to reduced nitrogen fertilizer application

Vegetable production is commonly accompanied by high nitrogen fertilizer rates but low nitrogen use efficiency in China. Reduced fertilization has been frequently recommended in existing studies as an efficient measurement to avoid large amount of nutrient loss and subsequent nonpoint source pollution. However, the reported responses of vegetable yield and nitrogen losses to reduced fertilization rates varied in a large range, which has resulted into large uncertainties in the potential benefits of those recommended reduction rates. Thus, we constructed the relationship between responses of nitrogen losses and vegetable yield to reduced nitrogen fertilization rates to determine the optimal range of reduction rates for nitrogen fertilization in a proportional form based on data reported in literatures across China's mainland, and evaluated the roles of greenhouse, managing options, and vegetable species on the responses. The relationships were constructed separately for 4 subregions: Northern arid and semiarid, loess plateau regions (NSL), Temperate monsoon zone (TMZ), Southeast monsoon zone (SMZ), Southwest zone (SWZ). The optimal nitrogen fertilizer reduction range for the TMZ, SMZ and SWZ were 51 % to 67 %, 40 % to 66 % and 54 % to 80 %, respectively and no reduction for NSL. Vegetable yields were not be sacrificed when fertilizations were reduced within the optimal ranges. Greenhouse and managing options showed no significant effect on the responses of both vegetable yield and nitrogen losses by the optimal reduction range but vegetable species played a relatively important role on the responses of vegetable yield. This indicated that the optimal reduction rates can be effective on reducing nitrogen loss in both open-field and greenhouse conditions across China's mainland without extra managing options. Therefore, the optimal reduction rates can still serve as a good starting point for making regional plans of nitrogen reduction that help balancing the chasing of high vegetable yield and low nitrogen loss.

Impacts of digital finance on energy efficiency: does environmental regulation matter?

The paper examines how digital finance affects energy efficiency in China using a dynamic panel model and data from 282 cities between 2011 and 2019. The study is based on the hypothesis which is related with digital finance, environmental regulation, and energy efficiency. The results indicate that: (1) Digital finance significantly improves energy efficiency, and this finding is consistent after several tests; (2) Digital finance has a positive effect on energy efficiency in non-resource-based cities, recession and regeneration resource-based cities, and old industrial base cities, but no significant effect on energy efficiency in growth and maturity resource-based cities and non-old industrial base cities; (3) Environmental regulation positively influences how digital finance affects energy efficiency; (4) The impact of digital finance on energy efficiency depends on the degree and tools of environmental regulation. This research offers valuable insights to local governments in China for promoting financial digitization and enhancing energy efficiency.

Dynamic Coupling Analysis Between Scale of Network Retail Market and Green Circulation Efficiency

Abstract A sound circulation system is an important carrier for the development of the retail industry, and the promotion of green circulation efficiency (GCE) plays an important role in driving the market scale expansion of network retail (NR). This study uses the development status of China’s NR and circulation industries as basis to estimate the total carbon emissions (CE) of the circulation industry by using the system dynamics method. Moreover, this research measures China’s GCE by combining data envelopment analysis (DEA) and Malmquist index to construct a coupling analysis model to empirically investigate the dynamic coupling relationship between the NR scale and green circulation efficiency. Results indicate that China’s GCE is generally increasing, but growth rate fluctuates significantly. Additionally, the improvement of the quality and efficiency of China’s circulation industry has not yet formed a steady green path. China’s NR market scale continues to expand, but NR at this stage is still mainly concentrated in the eastern region. The efficiency of green circulation and scale of the NR market show a good coupling trend, but there is still a significant gap between the central and western regions. Accordingly, this study proposes that the construction of a green circulation system should be strengthened, and that the development of a green and efficient circulation industry should be taken as the engine of the NR scale expansion.

Spatiotemporal differences, dynamic evolution and trend of cultivated land use efficiency: Based on three food functional areas

China's agricultural development has entered a period of transition, and improving the cultivated land use efficiency (CLUE) is of great significance for guaranteeing national food security. Based on the province panel data in China from 2000 to 2021, this research calculates the cultivated land use efficiency, and uses the Dagum-Gini coefficient, Kernel density estimation, and Markov chain to conduct an in-depth analysis of CLUE's regional variations and distribution dynamics in three food functional areas (TFA) of China. The study results showed that the trend of CLUE was characterized by “increasing levels and decreasing absolute differences,” not only in the whole country but also in the TFA. The inter-regional variation among TFA is gradually narrowing, and the cross-group degree of inter-regional variation is on the rise. The upward probability of CLUE was more effective than the probability of a transitionary change, and the mutual influence of CLUE between neighboring cities would lead to spatial convergence in the level of CLUE in the long term. Therefore, improving CLUE in China's TFA should not only grasp the regional differences in CLUE but also actively utilize the spatial spillover effects among functional regions to realize the cross-regional synergistic development of cropland utilization efficiency in China.

Analysis of Packaging Recycling Mode in Chinese Express Delivery Industry

With the widespread adoption of smartphones and Internet technology, China's express delivery industry has experienced explosive growth. Concurrently, this surge has resulted in the substantial generation of express packaging waste, leading to substantial resource wastage and environmental pollution. There is a need to improve reuse of express packaging in order to reduce the express packaging garbage, and recycling constitutes a crucial step in the reutilization of express packaging materials. The purpose of this study is to investigate the recycling patterns in Chinese Express Industry. This study employed a systematic literature review synthesis method to assess trends, identify gaps, and recommend future approaches to enhance the reuse of express packaging. The focus was on analysing the recycling status, influencing factors, and improvement strategies related to express packaging recycling. Research findings indicate that the recycling of express packaging is confronted with challenges such as high recycling costs and low recycling efficiency in China. Therefore, this paper proposes the combination of low-cost standardized packaging for express delivery, along with consumer awareness of environmental protection and an efficient recycling system, can significantly boost the recycling and reutilization of express delivery packaging. This study will contribute to enhancing the reusability and recycling of express packaging by improving the recycling process, thereby reducing the generation of express waste and minimizing resource wastage.

Spatiotemporal variations, influencing factors, and configurational promotion paths of energy efficiency in China’s cities

The promotion of energy efficiency (EE) helps address energy constraints and promote environmental sustainability. This study comprehensively explores the spatiotemporal variations, influencing factors, and configuration promotion paths of EE in 284 Chinese cities during 2003‒2019 using the global super-efficiency minimum distance to strong efficient frontier (G-S-MinDS), exploratory spatial data analysis (ESDA), multiscale geographically weighted regression (MGWR), and fuzzy set qualitative comparative analysis (fsQCA) methods. The findings are: ① China’s cities have an annual average EE of 0.658 with a growth rate of 0.53%, showing considerable promotion potential. ② Industrial structure optimization, population agglomeration, economic development, and increased green coverage contribute positively, while government intervention and openness hinder China’s urban EE. ③ Four configurational promotion paths for enhancing China’s urban EE are identified, where among those paths population density is a core condition, while government intervention is not. This study provides valuable insights into substantially improving urban EE, emphasizing the need for targeted policies to address energy and environmental crises in China.

Regional differences and improvement potential of carbon emission efficiency in China’s power industry: insights from meta-frontier DEA model considering integer constraints

Previous studies on the carbon emission efficiency (CEE) in the power industry have neglected concerns related to regional heterogeneity and the integer character of certain indicators. In response to these issues, this study proposes a meta-frontier DEA model that integrates integer constraints for evaluating the CEE of China’s provincial power industry from 2011 to 2021. This study also proposes to apply the Theil, technology gap ratio, and inefficiency decomposition indexes to analyze regional disparities, technological gaps, and strategies for enhancing CEE within China’s provincial power industry. The research findings highlight several key points. First, China’s power industry exhibits inefficiencies in CEE. The central region mainly contributes to the overall CEE decline, and approximately 70% of provinces demonstrate an average CEE below 0.70. Second, the technological level of the western region is leading, while that of the central region is the worst. Specifically, Ningxia, Hainan, and Jiangsu have the most advanced production technology levels. Third, substantial disparities in CEE within China’s power industry primarily stem from regional imbalances in development. Fourth, technical inefficiency contributed 68.24% of the CEE in the central region, and management inefficiency contributed 96.91% and 65.42% in the western and eastern regions, respectively. Overall, China’s power industry still has 37% potential for improvement.

A DEA game cross-efficiency based improved method for measuring urban carbon emission efficiency in China.

An accurate evaluation of carbon emission efficiency (CEE) at the city level can provide guidelines for understanding low carbon performance, which is crucial to achieving dual carbon targets. Existing CEE studies focused on national, industrial, and provincial scales while neglecting the city level and failing to consider competing relationships among decision-making units in their measurement models. To fill these gaps, this paper introduces the data envelopment analysis game cross-efficiency model (DEA-GCE) to measure urban CEE performance and compares it with the traditional Super-SBM model using the data from 283 Chinese cities between 2006 and 2019. The results show that (1) the DEA-GCE method provided more intensive and stable results. (2) Overall CEE of Chinese cities declined slightly amidst fluctuations during this period. (3) CEE in cities exhibits spatial clustering characteristics. CEE performance in Northeast China has improved, while CEE in Northwest China continues to lag behind. This study introduced an innovative method for calculating urban CEE and conducted an empirical study of 283 Chinese cities, which has implications for formulation of emission reduction policies.