Search

This study calculated the CO2 emissions due to fossil fuel consumption in China during 2000–2015 with consideration of the regional coal-, oil-, and gas-related variations. We used logarithmic mean Divisia index methods to establish the primary influencing factors of CO2 emissions, and we extended the UK National Ecosystem Assessment Scenarios to forecast future CO2 emissions related to fossil fuel use during 2020–2030. It was determined economic development is the main reason for increased CO2 emissions, and that energy intensity and energy structure decreased CO2 emissions. Finally, we considered six scenarios to predict the future development of coal, oil, and gas consumption in China. Six scenarios including Go with the Flow, Nature@work, Green and Pleasant Land, World Market, National Security and Local Stewardship, results show Green and Pleasant Land will induced coal and oil emission decrease and gas emission slightly increase. The results obtained based on analysis of CO2 emissions and identification of regional influencing factors could provide useful information for decision makers regarding the allocation of fossil fuel use.

The intensification of urbanization has had a significant impact on land-use change, ecosystem services, and the urban environment in China. In this paper, we measured land eco-efficiency from an economic and ecological perspective using a Super Efficiency DEA model and Malmquist Index. Our study included 13 prefecture-level cities in the Beijing-Tianjin-Hebei region and covered the period from 2005 to 2013. We then built an indicator system to evaluate new-type urbanization and quantify the impacts of new-type urbanization on land eco-efficiency based on an extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) Model. Our results reveal an average annual growth rate of 14.3% for land eco-efficiency. There were distinct differences among cities that are closely related in terms of their development stage of new-type urbanization. The relationship between land eco-efficiency and new-type urbanization produced an N-shaped curve. This suggests that, when the development of new-type urbanization is taken into consideration, the land eco-efficiency trend followed a pattern of up-down-up. Enhancing technology, as well as modifying policies for environment management, will also help improve intensive land use and land eco-efficiency. Our paper provides a significant contribution to strengthening land-use management and advancing sustainable urban development in China.

Landscape resource assessment of compound ecological system is the basic condition for planning various management activities. After field survey and obtaining landscape photos of the Badaling region, we built the evaluation system of landscape resources. Then, we recruited people to evaluate the indicators of different scenic spots with evaluation system and overall evaluation by scenic beauty estimation method (SBE). The results showed that A01 and A05 gave a good impression to tourists from the point of view of scenic spots. Judging from the evaluation indicators, the entire region had a high score in geological landscape, while some of the scenic spots had low scores in humanity landscape. Overall evaluation has better practicability for the area with better landscape. The two evaluation methods are consistent in evaluating good landscape by SBE, through analyzing the main reasons for the differences in evaluation. The results and methodology can benefit landscape resource assessments as well as provide support on planning and management for compound ecological system.

Arguments about side effects of economic growth in urbanization call for deeper research on land use efficiency (LUE) from the perspective of urban planning for the coordination of social production and environmental conservation. Rural-urban migration increases rural household earning from part-time jobs at urban area. This social transformation increases the transportation demands and the risk of regional environmental degradation through ecological intercorrelation among urban-rural ecosystems. In this research, we aim to study how urban-rural ecological intercorrelation can dynamically determine the edge effects between backward-wave effects and spillover effects to affect dynamics of land use efficiency on the pathway of regional development. We analyze the marginal percentage changes of population growth and rural/urban income growth influence the dynamics of land use efficiency of Beijing-Tianjin-Hebei region (BTH). Empirical analysis results show that the urban income rises have weak spillover effects, while rural income growth primarily influences land use efficiency changes when urban-rural ecological intercorrelation is weak. We also test with or without the innovation impacts, and find both methods reporting the violation of normal economic development that in fact backward-wave effects exceed spillover effects in BTH. It implies that urban income growth should drive more spillover effects when urban-rural ecological intercorrelation is strong, but in fact it fails in a highly urbanized region. Thus, it is debatable that the fast population growth is the root of environmental degradation, in fact, ecological intercorrelation determines the edge effects of regional economic scale. That affects the structural effects of urban-rural landscape changes being allocated by population and income rises dynamically. Policy implication for regional development is to identify landscape rights in advance to keep dynamics of land use efficiency in a relatively stable structure for coherently improving environmental quality and the standard of living.

Layered/spinel heterostructured Li-rich material is prepared by controlling the conditions of a solvothermal method to obtain precursor and the subsequent high-temperature solid phase reaction, and then, 3 wt % LiF, 3 wt % Li2TiO3, and 3 wt % Li3PO4 are coated on the surface of the layered/spinel heterostructured Li-rich oxide by a wet chemical method. The influences of different lithium salt coating layers on the layered/spinel heterostructured material are investigated by transmission electron microscopy, galvanostatic charge/discharge tests, and electrochemical impedance spectroscopy. It can be seen that after coating a Li salt layer, the initial charge–discharge efficiency, cycle, and rate performance are obviously improved. Especially, the sample coated with Li3PO4 shows an optimum result in improving the rate capability of layered/spinel heterostructured Li-rich material and effectively inhibiting the side reaction between the layered/spinel heterostructured Li-rich material and organic electrolyte ...

After the People's Republic of China (PRC) established in 1949, central planners have made much efforts to greening the capital city, Beijing. However, with the increasing population and consumption in the city, the increasing environmental risks continually flow into the local social-economic-ecological system (SEES) through ecological intercorrelation from neighborhoods, so that the thresholds of risks challenge the urban resilience of Beijing and the surrounding area. Thereby, we analyze the 139 selected indicators to deeply understand the systematic risks across temporal scale during 1978e2015 in Beijing. Resultsshow the development pathway of Beijing experienced three stages from “entrance”, “soar” to “coursing”. In the current new stage, the ecological impacts and resource use per capita are main constrains to future development in Beijing. This implies to a framework of urban growth for a demonstrationpilot path of eco-urbanization in five aspects: 1) strategic clarification of the growth space; 2) design the urban growth path based on ecosystem planning with functional landscape architecture; 3) higher standards of industrial establishments with advanced environmental assessment and monitoring;4) construction of environmental infrastructures with smart resource recycling; and 5) based on strict implementation of institutions and regulations to maximize the function of market allocation.

Analyzing the livelihood capital of rural households can be beneficial for informing the effect of poverty alleviation, after several years of sustained efforts of poverty alleviation at large scale in China. Based on original data from a household survey in two severe poverty areas of China (Wumeng Mountains and Western Border Mountains) and a non-poverty area (reference), this study uses a new 5-point scale to extract information, and then analyzes the effects of poverty alleviation on the poor households through regression analysis and variance analysis. The results show that the livelihood capital of rural households in the severe poverty areas has been improved but still vulnerable if compared with non-poverty area. The livelihood capitals are 39.13% and 36.04% lower than those in non-poverty area by regression model, respectively. It also can be found that, due to the combined effect of multiple factors, the control variable has a significant effect on the livelihood capital. The change of livelihood capital is more significant than that of single dimension capital in terms of poverty caused by getting illness and out of poverty caused by mastering skill. Further analysis of interactive variance demonstrates difference between the severe poverty areas, also between poverty and non-poverty areas. Focusing on increasing land benefit, enhancing county-level of industrial layout, developing better medical security, highlighting educational level, maintaining the continuity of policies represent effective methods of poverty alleviation. This study helps to better understand the optimization of poverty alleviation and improve related policies.

Climate change and its impacts are the biggest environmental problems the world is facing in recent decades. Climate-sensitive events have already been critical obstacles of poverty reduction and sustainable economic development. Assessing how climate change affects poverty reduction is of great significance to the comprehensive assessment of climate change impacts on social economy and mitigation of its negative impacts. With geo-spatially referenced malnutrition and infant mortality data as a proxy for poverty, focusing on the aspects of agriculture and human well-being that consist of physical health and personal autonomy. This study selects three countries, China, India and Senegal, to investigate the impacts of climate change on poverty reduction. Contrast to previous work when analyze climate changes’ impacts most concentrated on coastal urban areas, this paper is focused more on the rural poor areas and conduct a contrastive analysis of different income groups of countries. The correlation analysis results show the same is that the indicators of climate change are in significant correlations with indicators of poverty and that of agriculture and human well-being in China, India and Senegal. However, China performs poorly in terms of personal autonomy, while Senegal performs well, the correlations of forest area percentage (one indicator of climate change) with other variables in Senegal are absolutely opposite to that in China and India. We find the same influence factors have different effects on poverty reduction in these countries, the anti-poverty policies should be made according to local conditions.

This study reveals that ecological intercorrelation in urban-rural area is a key role in changes of unobserved environmental effects of urban pollution, energy use inefficiency, and cultivated land loss. In a deductive model, we find that inequivalent economic growth in urban-rural area results in the variability of eco-efficiency of industrial production in urban area, which increases the risks of environmental effect to adjacent suburban and rural area, and directly affects changes of unobserved environmental effect spatial-temporally. Through ecological intercorrelation, both observed and unobserved environmental effects in this dynamic mechanism are formed, consequently intensify the regional inequality of environmental pollution, and frustrate the future coordinative development of regional economy. By employing the data of case study area of Gaoyou in China, estimations show that observed eco-efficiency is getting better but unobserved eco-efficiency is getting worse until this place becomes an eco-city. This study has proved that ecological intercorrelation in some extent sustains unobserved environmental effects to affect regional environmental degradation.

The concept of a green economy has been advocated globally ever since it was first proposed. In China, green economy has been adopted as the national strategy for future economic development. In this paper, we applied statistical description, grey correlation, proportion and elastic coefficient analysis to assess contributions of green industry to the national development from 2008 to 2012. We found that: (1) The average green degree of China's economic industry, 45%, was relatively low. The relative green degrees from high to low were 65% for service industry, 55% for agriculture industry, and 24% for manufacturing industry, respectively. (2) The share that added values of green industry took up gross domestic product (GDP) was between 41% and 48%. Green industry growth was highly correlated to the national economic growth evidenced by their grey correlation coefficient of 0.8532. (3) Both categories and quantities of green products were increasing annually and the growth rate of exported green products exceeded 50% during the study period. The gross domestic product grew by 0.04% owing to the increase of 1% in green product exports. (4) The pulling effect of green industry on employment was not significant, with a contribution rate of about 8%. With governmental support, green industry has made big improvements but there is still a lot of space for it to grow in the long term and it requires greater attention from managers and decision-makers in order to make more contribution to the society and the economy.

In this study, we analyze the changes of indicators of ecosystem services and functions, in order to understand the main cause of grassland degradation due to climatic variation or land use changes in the middle-south Inner Mongolia. The soil nutrient and the water supply of supporting service got recovery during 1988–2008. The loss of net primary production declined, and the quality of the retained unconverted grassland (RUG) even increasingly degraded from 2000 to 2008. Analytical results show that environmental degradation on the land-use-changed-area is lower than that on the RUG from 2000 to 2008. It illustrates that climatic variation has more negative impacts on grassland ecosystem service, and which is significantly higher than the so-called “overgrazing” induced grassland degradation. Moreover, it cannot be excluded that those species died out on the RUG due to natural selection or competitive evolution in an evolutionary process under the deteriorative weather condition rather than overgrazing. The positive impacts of human activities such as conservation programs and wildlife protection laws also benefit to regional grassland ecosystem obviously in the study area, so that can delay the environmental degradation even if each planet has its life cycle. It indicates that an integrated regional planning involving the considerations of climatic conditions, geographical characteristics, socioeconomic factors, and ecological functions and biodiversity can benefit to regional grassland conservation based on monitoring and management via scientific methods.

Water, as an important resource in ecosystem, greatly influence human life. Increasing water use efficiency will save water resources, thus will lead to better ecosystem. Agricultural water resources are important production materials that will impinge the long-term agriculture development potential, while water use efficiency (WUE) is a key factor closely linked to agricultural production. In this study targeted at Heihe Agriculture Zone, we used a stochastic frontier production function to study agricultural production efficiency and WUE. In particular, the effects of planting areas on farmers' WUE were investigated. The result show current farmers' WUE of Maize is 0.67 on average, which still can be improved largely. The farmers' planting scales largely affect WUE of Maize. The farmers with planting scales of 0–0.3 ha and over 1.3 ha paid high attention to WUE. The optimal planting scale of water use efficiency of maize is around 3.3 ha. This study provides a scientific basis for the water resource use in arid and semiarid regions

Global mitigation of greenhouse gas (GHG) emission targets to regional solution at different scales with structural effects. Because local ecosystem service has different functions to influence regional environment, it is unclear that land use structural effects on lowering emission intensity and mitigating air pollution, and it is debatable that the efficiency of mitigation of GHG emission can be improved by increasing what kind of ecological infrastructure at regional scale. We propose a systematic methodology on identification of trade-offs among structural impacts of land use change on emission intensity at regional scale through both qualitatively and quantitatively statistical analysis to clarify impacts of different land use on the mitigation of emission intensity. In particular to a region with some distinct constraints of natural resources, regional planning has to rely on scientific solutions for bridging the gap of emission mitigation target among multi-levels of administrations and at same time enhancing the optimal allocation of natural resource. In this case study, we qualitatively analyze the principle component among impact factors in a regional socio-economic-ecological system of Zhangye City (where is located at the middle reach of the Heihe River Basin) during 1980s–2010s, and quantitatively analyze the relationship between land use structure and emission intensity with controlling the effects of air contaminations. The analytical results prove that forest land has statistically significant impacts on the mitigation of emission intensity, more importantly, there are no statistical significant evidences showing that cultivated land and wetland have the same functions. It indicates that to identify key issues from those mixed impacts of land use structure at regional scale determines to promote an optimal path of natural resource allocation for reducing the GHG emission and air contaminations. It implies that mitigation of GHG sorely needs to take land use structure changes into consideration of the systematic research for scientifically improving regional planning and sustainable development.

&ldquo, The Gray Great Wall&rdquo, formed by haze pollution is an increasingly serious issue in China, and the resulting air pollution has brought severe challenges to human health, the socio-economy and the world ecosystem. Based on the facts above, this paper uses China&rsquo, s province-level panel data from 2009 to 2016, systematically measures the heterogeneous structure of regional ecological economic (eco-economic) treatment efficiency through a Super Slacks-Based Measure (SBM) model and dynamic threshold models, and analyzes the forcing mechanism of haze pollution pressure on regional eco-economic treatment efficiency from an environmental regulation perspective. Results indicated that China&rsquo, s eco-economic treatment has been vigorously promoted, which is significantly conducive to green growth upgrading. However, the process has a large developmental scope due to regional heterogeneity. Interestingly, the forcing impact of haze pollution on regional eco-economic treatment efficiency is limited by the &ldquo, critical mass&rdquo, of environmental regulations: a weak degree of regulation will facilitate an increase in regional eco-economic treatment efficiency through the forcing effect of haze pollution pressure. Once environmental regulation reaches a critical level, a stronger degree of regulation will suppress the forcing effect of haze pollution in turn and it will decrease the regional eco-economic treatment efficiency. This paper endeavors to clarify the differences, suitability and dependency in the process of ecological transformation for Chinese local governments in different regions and provide policy references for a regional ecological transformation matching system.

In this study, the forest landscape in the Beijing mountain area is assessed using the Integrated Valuation of Ecosystem Services and Tradeoffs model. The results showed the natural forests have higher functional capital than the planted forests and different species contribute to different ecological functions. Specifically, Larix gmelinii forests have the highest water resources and soil conservation function which are about 334.14 m3 hm−2 year−1 and 115.92 t hm−2 year−1; Betula allegansis forests have the highest carbon storage and biodiversity function which are about 128.46 t hm−2 year−1 and 0.76. Besides soil, water is conserved more within coniferous forests than within broadleaf forests. Carbon sequestration and the functional capacity for biodiversity within a unit area of coniferous forests are much smaller than those within a unit area of a broadleaf forest. Previous studies highlight the forest management strategies will influence the ecosystem functions while in the current studies we also found the species option during the afforestation is equally important and protecting of the natural forests is more important than afforestation for maintaining the ecological functional capitals.

This paper explored how rural cooperatives influence technology efficiency of farmer in the context of Geographical Indication (GI) products industry and identify the main influence factors, to realize regional sustainable development. Based on a survey of rural households in Qingyuan County located in the northeast forest zone in China, where is famous for GI product - Chinese Gentian (a Chinese herbal medicine), the efficiency enhancement mechanism of two groups of farmers (cooperative participants and cooperative non-participants) is analyzed, a meta-frontier analysis (MFA) model is constructed to empirical analyze the impact of farmers' participation in cooperatives on the efficiency of Chinese herbal medicine cultivation, and the heterogeneity of farmers that influence technical inefficiency is identified. The conclusions include: Two different ways to participate in the cultivation of GI products are through cooperatives and self-participation which keep farmers at different frontiers of production; The difference in efficiency within the rural cooperative is small but the efficiency of self-participating farmers is relatively large; The efficiency is about 32% higher, which explains the main reason for increase the efficiency of farmers are unified management, skill training and knowledge information diffusion. Household head age, education, enthusiasm and agricultural skill are the main influencing factors of technology inefficiency. This paper enriches the understanding of how rural cooperatives promote technology efficiency of rural households, especially with the heterogeneity of farmers' endowment, and how this contribute to the adaptive management of local GI brand and targeted poverty alleviation to realize rural revitalization.

The energy-rich area of the Yellow River basin are the major energy producers in China, the energy eco-efficiency (ecological efficiency) of this area has a direct impact on the implementation of ecological protection and high-quality development strategies in the Yellow River Basin due to its huge energy consumption. In this paper, the Stochastic Frontier Model (SFA) was used to estimate the energy ecological efficiency of the study area from 2002 to 2016, the spatial differences in energy eco-efficiency were explored with the use of Spatial Auto-regressive Model (SAR), the Spatial Dubin Model (SDM) is used to analyze the influencing factors. The results show that the average value of each region in 2002 and 2016 is 0.799 and 0.698 respectively; the energy eco-efficiency showing significant spatial aggregation, with the lowest in western regions such as Wuzhong and Zhongwei, and the highest in central regions such as Ordos and Yulin; the spatial pattern of energy eco-efficiency is affected by many factors, such as the proportion of fixed assets investment in gross regional product, industrial added value in gross regional product, and the foreign investment. As a result, the formulation of regional development strategies shall focus on optimization of industrial structure and improvement of regional technical level, which shall also be supported by the establishment of cross-regional coordination organizations, the best play of advantages of all regions, and the improvement of industrial competitiveness, so as to realize the evolution and improvement of the overall energy eco-efficiency in the region.

The environment carrying capacity and reduction of carbon emissions are the challenges faced in the ecologically fragile areas. Therefore, the evaluation of carbon security is imperative. This paper, using Yunnan as an example, built up models of carbon footprint and vegetation carbon carrying capacity to assess the level of carbon security. The IPCC method, which is internationally recognized and universal applied, was adopted to calculate carbon footprint. Forest, grassland and crop plant were selected to calculate carbon carrying capacity. The study relied on data from 2008 to 2017 for analysis and arrived at the conclusion that Yunnan's carbon footprint rose from 272.48 million tonnes in 2008 to 317.71 million tonnes in 2017. The result shows that the carbon carrying capacity of vegetation assumed an increasing trend from 339.52 million tonnes in 2008 to 416.30 million tonnes in 2017. The carbon pressure index was 0.80 in 2008 and 0.76 in 2017, showing a trend of first rising and then falling. This implies that Yunnan is carbon surplus and the level of carbon security is within the region of relatively safe. It is appropriate to improve upon the carbon carrying capacity and reduce the carbon footprint to maintain carbon security in the future.

To better promote forest resource management and strengthen the development of forest carbon sink marketization, this paper studied the accounting of forest carbon sinks from 2003 to 2008 based on a system of national accounts (SNA) and data from the latest forest resources inventory in China. The study calculated the value of forest carbon stocks at a total of RMB 817.13 × 109 yuan in 2003 and RMB 839.93 × 109 yuan in 2008, with an average annual increase of 0.55 % from an increase in physical carbon sinks. The total value of forest carbon sinks in 2003 and 2008 was RMB 26.73 × 109 yuan and RMB 29.77 × 109 yuan, respectively, with an average annual growth of 2.18 %. From 2003 to 2008, both stock and flow value of forest carbon sinks increased, but the total net flow value of carbon sinks decreased. The growth rate for the environmentally adjusted Gross Domestic Product (eaGDP) for China’s forest carbon sinks was 17.23 %, outstripping the average growth rate of 9.5 % for the GDP during the same period. The study also indicates that China’s forest carbon sinks affects the GDP in the range of 0.25–0.26 %, and its economic potential is not relatively huge.

In the past few years, the volatility of the world price market and the intrinsic weaknesses of production coupled with skepticism from experts as well as households had effects of coffee production [1], that’s why the purpose of the article is to use index DRC (Domestic Resource Cost) to confirm the effectiveness of the coffee plantations in Dak Lak, through DRC index we not only assess competitive advantage of the coffee over other crop products in Dak Lak but also can find agents that affect competitiveness and find a way to enhance the competitiveness of products. The result of the research confirms that comparative advantages of coffee products are very sensitive to fluctuations in the price of coffee exports.

Based on an extended economic model and space econometrics, this essay analyzed the spatial distributions and interdependent relationships of the production of forestry in China; also the input-output elasticity of forestry production were calculated. Results figure out there exists significant spatial correlation in forestry production in China. Spatial distribution is mainly manifested as spatial agglomeration. The output elasticity of labor force is equal to 0.6649, and that of capital is equal to 0.8412. The contribution of land is significantly negative. Labor and capital are the main determinants for the province-level forestry production in China. Thus, research on the province-level forestry production should not ignore the spatial effect. The policy-making process should take into consideration the effects between provinces on the production of forestry. This study provides some scientific technical support for forestry production.

Recently, improving technical efficiency is an effective way to enhance the quality of grass-based livestock husbandry production and promote an increase in the income of herdsmen, especially in the background of a continuing intensification of climate change processes. This paper, based on the survey data, constructs a stochastic frontier analysis (SFA) model, incorporates net primary productivity (NPP) into the production function as an ecological variable, refines it to the herdsman scale to investigate grassland quality and production capacity, and quantitatively evaluates the technical efficiency of grass-based livestock husbandry and identifies the key influencing factors. The results show that the maximum value of technical efficiency was up to 0.90, and the average value was around 0.53, the herdsmen&rsquo, s production gap was large and the overall level was relatively low. Additionally, the lack of forage caused by drought was the key factor restricting the current grass-based livestock husbandry production level, and the herdsmen&rsquo, s adaptive measures, mainly represented as &ldquo, purchasing forage&rdquo, and &ldquo, selling livestock&rdquo, had a positive significance for improving technical efficiency. Based on this, expanding the planting area of artificial grassland, improving the efficiency of resource utilization, and enhancing the supply capacity of livestock products while ensuring the ecological security of grassland are effective ways to increase the production level of grass-based livestock husbandry in Hulun Buir.

Nanoplastics in the environment lead to the human exposure to these particles. However, the consequences of this exposure are not yet fully understood. Here, the cytotoxicity of polystyrene nanoparticles (PS-NPs) with a uniform size (50 nm) but distinct surface functionalization (pristine polystyrene, PS; carboxy and amino functionalized, PS-COOH and PS-NH2, respectively), and at an exposure dosage of 10, 50 and 100 μg/mL, were assessed in the human hepatocellular carcinoma (HepG2) cell line. Although all PS-NPs could be internalized by the HepG2 cells, according to the fluorescent intensities, more of PS-COOH and PS-NH2 than PS, accumulated in the cells. The cell viability was significantly affected in a positively dose-related manner. Functionalized PS-NPs exhibited greater inhibition of cell viability than PS, and the viability inhibition peaked (46%) at 100 μg/mL of PS-NH2 exposure. Superoxide dismutase (SOD) activity was maximum when HepG2 cells were exposed to 10 μg/mL of PS-COOH (1.8 folds higher than that without PS-COOH exposure). The glutathione (GSH) content was maximum when the cells were treated with 50 μg/mL of PS (3.75 fold increase compared to untreated cells). Although the difference in inhibition of cell viability was not significant between PS-NH2 and PS-COOH exposure, 100 μg/mL of PS-NH2 exposure caused the most severe oxidative stress due to dramatically increased accumulation of malondialdehyde (MDA); however, a decrease in the antioxidants levels as the SOD activity and GSH content were also found. The results demonstrated that the cellular oxidative damage occurred and that the antioxidation enzymes may not be able to maintain the balance between the generation of oxidant species and the antioxidant defense. Consequently, 100 μg/mL of PS-NH2 exposure triggered the destruction of antioxidant structures. This study defines the cytotoxic effects of PS-NPs on HepG2 cells and emphasizes the significance of investigating the cytotoxic outcomes of nanoplastics in humans.

Li-rich layered oxides (LLOs) with high specific capacities are favorable cathode materials with high-energy density. Unfortunately, the drawbacks of LLOs such as oxygen release, low conductivity, and depressed kinetics for lithium ion transport during cycling can affect the safety and rate capability. Moreover, they suffer severe capacity and voltage fading, which are major challenges for the commercializing development. To cure these issues, herein, the synthesis of high-performance antimony-doped LLO nanofibers by an electrospinning process is put forward. On the basis of the combination of theoretical analyses and experimental approaches, it can be found that the one-dimensional porous micro-/nanomorphology is in favor of lithium-ion diffusion, and the antimony doping can expand the layered phase lattice and further improve the lithium ion diffusion coefficient. Moreover, the antimony doping can decrease the band gap and contribute extra electrons to O within the Li2MnO3 phase, thereby enhancing elect...