Efficiency In Different Regions Research Articles

Spatial variability in residence time of Beryllium in the Indian Ocean

Residence time of an element in the ocean is a consequence of its chemical behaviour and the various biogeochemical processes governing its distribution, sources, and sinks. Precise estimation of the residence time of beryllium(Be) is necessary for its application as a tracer for understanding present and paleo-environmental processes. We utilise cosmogenic 10Be and terrestrially derived 9Be measurements from surface sediments to estimate the residence time of Be in the Indian Ocean. Significant variation in Be residence time is observed, which ranges between 370 and 620 years in the central Indian Ocean, 64–205 years in the Bay of Bengal, 41–117 years in the Andaman Sea, and 179–443 years in the Arabian Sea. Large heterogeneity in the residence time of Be can be attributed to its variable scavenging efficiency in different regions. Active scavenging of Be by sediment particles contributed through various major rivers draining into the northern Indian Ocean results in short residence time of Be. The results of this study have significant implications for the selection of sample sites and the use of Be as a tracer in paleo reconstructions.

Research on Environmental Performance and Measurement of Smart City Power Supply Based on Non Radial Network DEA

The continuous development of smart cities has put forward higher requirements for the supply of power systems. In response to the constraints in the environmental performance and measurement of smart city power supply, this paper proposes a research model for smart city power supply environmental performance and measurement based on non-radial network DEA based on the characteristics of DEA model and distance function. This model can combine different stages of power supply to conduct more reasonable statistics and analysis of efficiency in different regions. In addition, correlation coefficients were analyzed for the impact of efficiency factors on the phase ratio in the production and sales stages of the power supply system. The research results indicate that there is a positive correlation between the output value and power generation of electricity sales and the efficiency of the electricity sales stage, with correlation coefficients of 0.57 and 0.092, respectively; The length of newly added lines, capacity of new equipment, and line loss rate are all negatively correlated with their efficiency, with correlation coefficients of −0.42, −0.12, and −0.46, respectively. Based on the above analysis, this study provides more theoretical support for the study of environmental performance and measurement of smart city power supply.

Pathways to enhance the efficiency of forestry ecological conservation and restoration: empirical evidence from Heilongjiang Province, China

This paper proposes a theoretical framework for assessing ecological protection and restoration from the perspective of ecological efficiency. We applied the super-efficiency Slack-based measure model to examine the social and economic impacts of ecological resource consumption transformation in Heilongjiang Province, China. Additionally, a convergence analysis was used to evaluate and test the impact of the standard deviation ellipse method on regional sustainability. The results indicated that the land use structure was unstable; the conversion rate of resource consumption was low; and the average Ecological efficiency was only 0.343 in terms of the land use structure. Funds for forest ecological restoration have a significant impact on the effectiveness of ecological resource transformation. Implementing the Chinese ecological restoration project improves the ecological efficiency level of the communities. The center of gravity of ecological efficiency moved greatly in the years when forestry investment increased. Technological transfer and diffusion, experience imitation in environmental regulation, and eventually convergent steady-state levels of the ecological efficiency of different regions are necessary to improve the economic and social development level of regions with low environmental quality efforts should be made to reduce resource consumption intensity, increase fund utilization efficiency, and form a comprehensive and systematic system of ecological environment governance through reasonable enhancement of regional environmental regulations, increased investment in technological advancement, and funds for ecological protection and restoration.

An empirical study on the measurement and influencing factors of carbon emission efficiency in China's transportation industry

<p>The severe climate problem has forced the Chinese government to put forward the goal of "carbon peak" and "carbon neutrality", and the transportation industry is a key area of carbon emission reduction. Based on this background, this paper introduces the BCC model and the Malmquist-Luenberger index model to measure the carbon emission efficiency of China's provincial transportation industry from the static and dynamic perspectives from 2014 to 2020. At the same time, the Tobit model is used to estimate the influencing factors of carbon emission efficiency. The results show that: (1) The overall transportation carbon emission efficiency level is low. The comprehensive efficiency of 30 provinces is at [0.6634,0.7154], which needs to be improved urgently. (2) The carbon emission efficiency of transportation is in a growing trend, and the ML index is 1.142, which is significantly higher than 1.0. In addition, the mean value of technical efficiency is 1.015, and the mean value of technological progress efficiency is 1.125. The two factors jointly affect comprehensive efficiency. (3) The carbon emission efficiency of different regions is heterogeneous. The carbon emission efficiency of East China and North China is better than that of Northeast China and South China, while the carbon emission efficiency of Northwest China and Southwest China is at the middle level in China. (4) External environmental factors, such as regional GDP, resident population and consumption level, have a significant impact on the carbon emission efficiency of transportation.</p>

Estimation and Convergence Analysis of Traffic Structure Efficiency Based on an Undesirable Epsilon-Based Measure Model

To improve transportation efficiency, this paper analyzes the factors of transportation structure from the two levels of transportation—input and system output. An epsilon-based measure model of non-expected output is introduced, and the environmental benefits of transportation are considered. This model is used to analyze the regional transportation efficiency of 30 provinces and cities in China. Tobit regression and geographically weighted regression are applied to analyze the causes and spatial variation of differences in the efficiency of the transportation structure, and corresponding structural adjustment strategies are proposed. The results show that the regression coefficients of the share of secondary industry output in GDP, population density, and social fixed asset investment exert the most significant effects on transportation structure efficiency. The spatial distribution of sub-variable coefficients shows that spatial heterogeneity exists in the degree of influence of various socio-economic factors on the transportation structure efficiency in different regions.

Analysis of transportation CO2 emission efficiency in the Yangtze River Economic Belt in China

ABSTRACT The transportation industry’s CO2 emissions and its main drivers are important for achieving sustainable development. With data from the Yangtze River Economic Belt (YEB) between 2004 and 2020, the efficiency of CO2 emissions is investigated by the super efficiency epsilon-based measurement method (super-EBM) and the Global Malmquist Luenberger Productivity Index (GML). The influencing factors on the different efficiency levels are explored by the panel quantile regression. This study shows that the overall CO2 emissions efficiency is not high, and the efficiency in different regions is largely consistent with the regional economy level. COVID-19 may reduce urban transport carbon emissions in the Yangtze River Economic Belt in 2020, as reflected by the reductions in average emissions and emissions efficiency. Findings also suggest that the influence of the number of private vehicles per 10,000 people on efficiency is positive at low and middle quantiles, and negative at high quantiles. Besides, the per-capita GDP, energy intensity, and transportation service structure negatively influence the efficiency at all quantiles, whereas urbanization and transportation intensity are positively related to the emissions efficiency.

Exploring the spatial structure and impact factors of water use efficiency in China

Improving water use efficiency is an essential strategy in the response to the global water crisis. The assessment of water use efficiency serves as the foundation for improving water use efficiency and water governance. Based on the mixed methods including Super-SBM model, GML index, spatial analysis, and Tobit model, this study assesses the water use efficiency from the scales of regional and provinces in China from 2011 to 2020, explores the evolution characteristics and spatial pattern of water use efficiency, and identifies the impact factors of water use efficiency. The results indicate that regional water use efficiency in China varies significantly by space, the highest in the eastern region with an average value of 0.8052, and the lowest in the central region with an average value of 0.5709. From 2011 to 2020, the average water use efficiency in China is 0.7042, which is in a low efficiency state, and roughly two thirds of the country's provinces use water inefficiently or ineffectively. In addition, regional differences of water use efficiency in China have a tendency of divergence and polarization. The technological progress change is the major factor for promoting water use efficiency. Economic development, water endowment, water use structure, scientific and technological development, and urban development have significant effects on water use efficiency in different regions respectively, while industrial structure and water governance have insignificant effects. This study supports researchers and practitioners in comprehending the characteristics and spatial patterns of water use in China, and also enriches the research system of water governance and integrated water resources management.

Agricultural Efficiency in Different Regions of China: An Empirical Analysis Based on Dynamic SBM-DEA Model

This study applies the dynamic slacks-based measure (DSBM) and the total-factor agricultural efficiency (TFAE) to explore the overall agricultural production efficiency of 30 administrative regions and the eastern, central, and western regions of China from 2012 to 2016. The previous literature has mainly focused on China’s economic development and experience, but as the economy continues to grow, more food is needed and agricultural labor is shifting to urban areas. Little attention has been paid to the impact of limited agricultural land on agricultural production efficiency. Therefore, this paper uses the agricultural land area as the carry-over variable and uses agricultural labor, total agricultural machinery power, rural electricity consumption, agricultural fertilizer use, and agricultural GDP as variables to discuss the efficiency of agricultural production in different regions. The empirical results show that from 2012 to 2016, the best administrative region in terms of overall agricultural production efficiency in China was the east. In terms of the overall analysis of the region, the east had the highest overall agricultural production efficiency, while the central region had the lowest. The input variable that needed the most improvement was rural electricity consumption, with the largest adjustment in rural electricity consumption being observed in Hebei and Liaoning provinces of the eastern region. Furthermore, from 2012 to 2016, both overall agricultural production efficiency and agricultural GDP showed upward trends. However, adjustments are still needed for other relevant agricultural input variables to effectively allocate resources and improve the overall agricultural production efficiency.

Three-dimension chitosan hydrogel loading melanin composite nanoparticles for wound healing by anti-bacteria, immune activation and macrophage autophagy promotion

Application of Combined photodynamic therapy (PDT) and photothermal therapy (PTT) has become one of the most promising strategy to replace antibiotics and avoid the epidemic of drug-resistant strains during wound healing. However, high amount of reactive oxygen species (ROS) and high temperature cause severe stress response to normal tissues, leading to potential risks of wound healing. Herein, a three-dimension chitosan hydrogel melanin-glycine-C60 nanoparticles (MGC NPs) were prepared to realized effective anti-bacterial activity, immune activation and macrophage autophagy promotion in three-dimensional wound space without triggering stress response. MGC NP is a composite polymer material composed of natural melanin polymer, oligopeptide and carbon-based material, which showed excellent biological safety. By regulating the peptide length between melanin and C60 and nanoparticle content, a high ROS/heat environment at the upper wound site and a low ROS/heat environment at the lower region adjacent to the wound tissue were established to obtain a three-dimension hydrogel with precise PDT and PTT efficiency in different regions. Highly effective PDT/PTT was used to kill microorganisms in upper region, thus providing a barrier to reduce microbial infection. Mild PDT/PTT in lower region promoted the polarization of M1 macrophage to M2 macrophage and activated autophagy of M2 macrophages, regulating the immune microenvironment and promoting wound repair. In conclusion, the novel three-dimensional PDT/PTT therapy based on natural macromolecules proposed in this study accelerates wound healing through dual pathways on the premise of avoiding wound stress response, which is of great significance for the development of clinical strategies for phototherapy.

Analysis of spatial and temporal characteristics of carbon emission efficiency of pig farming and the influencing factors in China.

Pig farming has been a crucial contribution to China's food security although intestinal fermentation and its excrement during pig breeding are major sources of greenhouse gas emissions. In this paper, we measured the carbon emission efficiency of pig farming in 30 provinces (autonomous regions and municipalities) from 2010 to 2020 by using the non-expected output Slack-Based Measure (SBM) model and analyzed the spatial characteristics of the carbon emission efficiency of pig farming in China. We also examined and analyzed the factors influencing the carbon emission efficiency of pig farming by using the limited dependent variable model (Tobit). The results show that: the carbon emission efficiency of pig farming in China shows an M-shaped upward trend over time by comparing the carbon emission efficiency longitudinally during the study period and the carbon emission efficiency of pig farming shows a decreasing trend in the east, central and west regions of China by comparing the carbon emission efficiency of different regions horizontally. It's also shown that regions with low- and extremely-low-efficiency transfer from the east to the central and west regions and the central and regions with high-efficiency transfer to the east. The regression analysis of the factors influencing the carbon emission efficiency of pig breeding shows that the comparative advantage of the pig industry and transportation accessibility is positively correlated with the carbon emission efficiency of pig breeding, whereas the proportion of food resources and market scale is negatively correlated with the carbon emission efficiency of pig breeding. At the same time, the production layout index has no significant influence on the carbon emission efficiency of pig breeding. The research results provide a theoretical basis for regional differentiation of carbon emission management from pig farming, optimizing the layout of the pig industry and reducing environmental pollution.

The role of different paths of technological progress in improving China's energy efficiency

Improving energy efficiency is one of the most effective ways to address environmental constraints and achieve high-quality economic development. The existing literature suggests that technological progress has an important impact on energy efficiency, but ignores the role of different paths of technological progress. Herein, the impact of different technological progress paths on energy efficiency was analyzed using the dynamic panel data model and the threshold model based on the energy efficiency measurement using the Meta-frontier and Nonradial Directional Distance Function model. The findings of this study were as follows: (1) During the study sample period, a fluctuating upward trend was observed in China's energy efficiency, and there were significant differences in energy efficiency in different regions of China. (2) The energy efficiency in China could be significantly improved by domestic innovation and regional technology diffusion. Even though the imported technologies do not play a significant role in promoting energy efficiency and have no positive effect on the improvement of energy efficiency from the perspective of domestic technology absorption or foreign technology absorption. (3) The eastern and central regions of China improve their energy efficiency through domestic innovation. However, none of the technological progress paths in the western and low-energy-efficiency regions have played a positive role in promoting energy efficiency. (4) The effect of promoting domestic innovation and regional technology diffusion on energy efficiency is gradually increasing with human capital improvement, and the restriction of foreign technology import on energy efficiency has obviously decreased. In a nutshell, different paths of technological progress have differential effects on energy efficiency improvements. Based on the above results, this paper makes some targeted policy recommendations on the choice of technological progress paths to improve energy efficiency in different regions of China.

Can Mechanization Promote Green Agricultural Production? An Empirical Analysis of Maize Production in China

This study systematically analyzes the impact of China’s maize Green Total Factor Productivity (GTFP) and mechanization on GTFP, providing a reference for reasonably playing the role of mechanization and improving China’s agricultural GTFP. Based on the difference in crop types and regional applicability of agricultural mechanization, this study selects maize as the research crop to analyze the impact of agricultural mechanization level on GTFP. In this study, the SBM-ML model is used to measure China’s maize GTFP, reveal the temporal and regional change characteristics of maize GTFP, and clarify the optimization direction of maize GTFP from the perspective of regional differences and resource endowment differences. This study uses the threshold regression model to systematically analyze the impact of agricultural mechanization on GTFP and its mechanism. Results are given as follows: (1) The growth of China’s maize production GTFP fluctuates greatly in each year, and the growth of maize GTFP depends on the alternate promotion of technical efficiency and technical progress. Greenhouse gas emissions have a significant impact on GTFP. Excessive use of pesticides and fertilizers is the biggest obstacle to the improvement of maize GTFP. (2) There are also specific regional differences in the factors that affect the improvement of maize GTFP efficiency in different regions. The impact of mechanization on agricultural GTFP varies among regions. (3) The development level of agricultural mechanization at different stages has different promotion effects on maize GTFP. Agricultural mechanization has a two-way effect on maize GTFP. The factors of land type and land area will not limit the promotion of agricultural mechanization to maize GTFP. (4) Agricultural financial investment, environmental pollution control efforts, agricultural science and technology expenditure and other factors play a positive role in improving GTFP. (5) In future production, we should pay attention to the combination of agricultural mechanization and regional production characteristics, optimize the allocation of agricultural machinery, and strengthen the coordination between agricultural mechanization and moderate scale operation. The findings of our study provide useful policy implications for the promotion and development of agriculture in China.

The spatial changes of China's environmental efficiency and driving factors from the perspective of circular economy.

This paper mainly uses the super-efficiency EBM model to measure the environmental efficiency of 30 provinces in China from 2005 to 2019, utilizes the Theil index to analyze the degree of differentiation, and investigate the stochastic convergence of environmental efficiency in different regions. At the same time, it focuses on exploring the direction, intensity, and changing trend of the internal driving factors of environmental efficiency including fiscal decentralization and tax competition, so as to measure and show the overall situation of circular economy development. The research results show that (1) from a national perspective, environmental efficiency shows a pattern of gradual convergence from east to west and from coast to inland. There is a significant stepped regional imbalance in the development level of circular economy in the eastern coastal areas and the central, western inland areas. (2) The differences in environmental efficiency among the four major economic regions were apparently significant while the differences inside each region itself were relatively minor, although in a trend of being gradually widened. There are differences in the development level of circular economy in different regions or within the same region. (3) The inter-provincial efficiency in the eastern, western and northeastern zones maintained relatively stable, while the inter-provincial differences in the central region were expanding. The environmental deficit problem caused by economic development has been alleviated and the basic development model of circular economy has been initially established. (4) Economic development has played a positive role in improving the environmental efficiency of the region. But the resident consumption level inhibited the improvement of the environmental efficiency level of the surrounding areas. The conclusion of this paper can provide a macroscopic reference for the government in finding effective countermeasures to improve environmental efficiency.

Research on the Efficiency of Green Agricultural Science and Technology Innovation Resource Allocation Based on a Three-Stage DEA Model-A Case Study of Anhui Province, China.

In order to achieve sustainable development of agriculture, people have gradually begun to attach importance to the development of low-carbon agriculture and to regard green agricultural technology innovation and promotion as increasingly more important. Taking the Anhui Province of China as an example, this study analyzed the impact of green agricultural science and technology innovation resource allocation on rural revitalization by constructing an econometric model. We found that the overall efficiency of the overall allocation of agricultural science and technology innovation resources in Anhui Province increased in the sample period, but the scale efficiency level was relatively low. The key path to improving the overall efficiency of allocation was to improve the scale efficiency level. The allocation of agricultural science and technology innovation resources in 16 cities and prefectures performed well in terms of pure technical efficiency, but there were significant differences in scale efficiency, which further affected the overall allocation efficiency of different regions. Among them, the allocation efficiencies of agricultural science and technology innovation resources in Hefei and Fuyang were at the leading level in Anhui Province. Similar to the overall situation of the province, the improvement path of areas with low comprehensive efficiency lay in the improvement of scale efficiency. In view of this, from the policy level, we need to optimize the relationship between the government and the market, speed up the construction of platforms and carriers, attach importance to the construction of the agricultural science and technology talent training system, and improve the open sharing mechanism.

Soil hydrologic properties in permanent raised beds—A field study experiment on wheat–maize cropping systems

AbstractPermanent raised beds (PRB) are widely applied in agriculture around the World and have proven to be an excellent option for crops (wheat, maize, etc.). In particular, they have the potential to conserve soil and water resources in agricultural production globally. Many researchers are studying the effects of PRB on soil chemical properties (N, P, K, and SOC), plant growth characteristics, and water use efficiency in different regions. However, few experiments have investigated the soil's hydraulic performance. In this study, a 6‐year field experiment was conducted under a maize–wheat rotation cropping system in North China Plain (NCP). The effects on the soil's hydraulic properties of no‐tillage (NT) and traditional tillage (TT) on flat fields and no‐till PRB treatments were assessed. Specifically, nine soil samples were collected at 0–15 cm depth and 15–30 cm depth to assess the soil's hydraulic performance. The results showed that the total porosity under PRB (42.1%, 15–30 cm) was significantly improved by 13.5% compared to TT (37.1%, 15–30 cm). The soil organic carbon under PRB (8.65%, 15–30 cm) was increased by 13.82% compared to TT (7.6%, 15–30 cm). Changes in the slope (b) of the soil water retention characteristic curve under the PRB (7.2, 15–30 cm) treatment were indicative of an improvement in the pore size distribution, increased soil water retention, and greater infiltration rates. In addition, positive changes in lateral water infiltration from furrow irrigation were observed under PRB (over 25 mm min‐1 in 45 min). These improved soil physical parameters demonstrated that PRB can offer more possibilities for water conservation in the field. In addition, the application of PRB and the principles of conservation agriculture have potential for the effective of water use efficiency and for improving the quality of soil.

Official tenure and governance effectiveness of China's basic pension insurance system: An inverted U-shaped curve.

ObjectivesBased on incentive theory of motivation, this paper aims to estimate China's basic pension insurance's annual efficiency and inter-period efficiency changes from 2015 to 2019 and further examine the relationship between official tenure and basic pension insurance governance performance.MethodsThe DEA—BCC model was used to evaluate the operating efficiency of basic pension insurance in 31 provinces of China. And four panel Tobit models were constructed to examine the heterogeneous linkages between officials' tenure and governance efficiency in different regions of China.ResultsThe results showed that there was an inverted U-shaped relationship between the official tenure and the governance efficiency of basic pension insurance. The younger an official was in his current position, the more apparent the inverted U-shaped relationship between the tenure of an official and the governance efficiency of basic pension insurance. We also found that localized government officials showed better governance efficiency of basic pension insurance. However, as the term of office of officials increased, the governance efficiency of non-localized officials showed a steeper negative effect.ConclusionThis study firstly reveals a significant relationship between the characteristics of officials and the operation of China's basic pension insurance system, which is a complement to the study of China's basic pension systems.

What causes the spatiotemporal disparities in greenway use intensity? evidence from the central urban area of Beijing, China

The reasonable layout of green sports space has positive significance for promoting residents’ outdoor sports. Existing studies rarely use large-scale trajectory data to analyze urban greenway physical activity; they mostly use on-site research and questionnaires to conduct research. This study, using central Beijing as a case study, identified the spatiotemporal relationships of greenway use intensity with the social, economic, and built environment. A multiscale geographically weighted regression (MGWR) model was used to explore the temporal heterogeneity of the factors, compensating for the lack of cross-sectional data in existing studies. The results demonstrated significant differences in the spatiotemporal patterns among the core, central and inner suburban areas, and they revealed residents’ preferences in different periods. The MGWR model indicated that there were obvious scale differences and spatial heterogeneity in the greenway use intensity among social, economic, and built environment factors. Housing prices, residential density, historical resource density, and greening quality of greenways contributed to greenway use intensity, which was weak in the core area and strong in the inner suburban area. The reason for the difference in the temporal dimension was related to commuting and the separation of workplaces and residences. The layout of the greenway should be combined with rivers, historical resources, and green space to improve its attractiveness. This paper improved the spatial awareness of greenway use and facilitated the ability of urban planners to generate appropriate strategies to improve land use efficiency in different regions and promote green spatial justice to meet the needs of green, healthy cities.

Dynamic Transition and Convergence Trend of the Innovation Efficiency among Companies Listed on the Growth Enterprise Market in the Yangtze River Economic Belt—Empirical Analysis Based on DEA—Malmquist Model

Background: The Yangtze River Economic Belt (YREB) occupies an important economic position in China and has great research value. Methods: Based on the panel data of 142 GEM-listed companies in the YREB from 2015 to 2019, using the DEA Malmquist index, σ-convergence and β-convergence models, this study empirically analyzes the dynamic change and convergence trend of the innovation efficiency of these companies. Results: The number of these companies increased significantly but the innovation efficiency of them has not reached the optimal level. From a static point of view, companies in the middle reaches of the Yangtze River have the highest innovation efficiency, while from the dynamic point of view, the Yangtze River Delta region has the highest innovation efficiency. Moreover, most companies have an agglomeration effect, and there is a big gap in innovation efficiency. There is no σ-convergence trend in the YREB and its sub-regions, but there is an obvious β-convergence trend. Conclusions: The innovation efficiency of these companies has a lot of room for improvement. There is industry heterogeneity, and exogenous factors have different effects on the improvement of innovation efficiency in different regions owing to the differences in geographical location, economic development level, and other factors.

High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data

Based on the data of listed companies at 285 cities prefecture level and above from 2003 to 2017, this paper empirically studies the impact of high-speed rail on enterprise innovation efficiency. By using the Difference-in-Difference (DID) method, empirical results indicate that high-speed railway can improve the innovation efficiency of listed companies. After parallel trend test of DID, the method of Propensity Score Matching and Difference-in-Difference (PSM-DID) and instrumental variable method and robustness test, the conclusion is still stable. The mediating mechanism of high-speed railway to improve enterprise innovation efficiency is to promote the flow of technical personnel and improve the knowledge spillover density of cities. Further heterogeneity analysis shows that high-speed railway has different impacts on innovation efficiency of different regions, administrative levels, cities with different population sizes, different industries and enterprises with different property rights. The policy suggestion is that we should pay attention to the positive role of high-speed rail in the formulation of enterprise innovation and development strategy.

Research on the impact of green finance on energy efficiency in different regions of China based on the DEA-Tobit model

In this study, the DEA model was selected to evaluate China's regional energy efficiency; then, the Tobit model was used to analyze the impact of green finance on energy efficiency. The following conclusions were drawn: (1) From a national perspective, although the average level of energy efficiency is low, it shows a trend of continuous improvement during the study period. From a regional perspective, the development of energy efficiency in different regions is significantly unbalanced, being highest in the east and lowest in the west. (2) For the whole country, green finance has not significantly forced the improvement in energy efficiency; however, the eastern region's green finance policy has improved energy efficiency, but that of the central region has inhibited energy efficiency. In the west, green finance has almost no relationships with energy efficiency. (3) Considering the country as a whole, the level of marketization has no significant relationships with energy efficiency in the central and western regions but has a promoting effect on energy efficiency in East China. Technological progress has obvious positive effects on energy efficiency in China in the three major regions; foreign direct investment has a negative effect in the western region and positive effect in the eastern and central regions but no effect on the whole country. Energy consumption structure has negative relationships with energy efficiency in all regions; energy prices have a promoting effect in the eastern region and a positive effect in the central and western regions, and no significant impact on the whole country.