Search Results (23)

Cultivated land is fundamental to agricultural production, and the eco-efficiency of cultivated land utilization is widely acknowledged as a crucial indicator for assessing rational land use. Accordingly, this study applies a Super-SBM model with undesirable outputs to evaluate the eco-efficiency of cultivated land utilization (ECLU) across 31 provinces in China utilizing provincial panel data from 2005 to 2023 and further employs dynamic fuzzy-set qualitative comparative analysis to investigate, across spatial and temporal dimensions, how government policy, agricultural technology, socioeconomic conditions, and natural conditions interact to achieve a high ECLU and to elucidate the diverse configurational pathways through which these factors converge to deliver a high ECLU. Our findings demonstrate that the ECLU originates from the joint influence of several factors, and no single factor alone can provide a high level of eco-efficiency. In particular, a high GDP per capita and strong government agricultural expenditure intensity are pivotal for achieving a high ECLU, whereas a low GDP per capita and weak government agricultural expenditure intensity are the core conditions associated with poor eco-efficiency outcomes. We identify three distinct driving pathways that foster a high ECLU: the Economy–Technology–Government Synergistic Pathway, Nature–Economy Dual-Driver Pathway, and Government-Supported Land–Economy Pathway. Between-configuration consistency (BECONS) exhibits no significant temporal effect; however, a constellation of external factors triggered a pronounced, collective reduction in configurational consistency from 2008 to 2014. Regional analysis reveals pronounced heterogeneity: Spatially, the Economy–Technology–Government Synergistic Pathway is concentrated in China’s central and eastern provinces, the Nature–Economy Dual-Driver Pathway clusters mainly in the central belt, and the Government-Supported Land–Economy Pathway predominates in the west. Full article

As the global demand for sustainable, nutrient-rich protein sources intensifies, microalgae have emerged as a promising alternative due to their unique biochemical, environmental, and functional properties. This narrative review synthesises the nutritional value, protein composition, functional behaviour, processing technologies, and food applications of microalgae proteins. A literature search was conducted using PubMed, Scopus, and Web of Science, with keywords including “microalgae proteins”, “nutritional value”, “functional properties”, and “alternative protein sources”. Priority was given to peer-reviewed articles from the past decade that addressed nutritional quality, extraction methods, and food applications. Key species, Spirulina, Chlorella, Nannochloropsis, and Haematococcus, are highlighted for their high protein content (up to 70% dry weight), complete amino acid profiles, and rich bioactive compound content. Microalgae proteins show excellent solubility, emulsification, gelation, and foaming abilities, enabling use in dairy alternatives, baked goods, snacks, and 3D-printed foods. Advances in extraction, purification, and protein modification have improved their functionality, while cultivation on non-arable land and integration into circular biorefineries enhance sustainability. Remaining challenges include scalability, sensory optimisation, and regulatory clarity. Future studies should focus on improving sensory acceptance, optimising cost-effective processing, and expanding consumer awareness. Overall, microalgae proteins offer a robust and eco-efficient solution to meet global nutrition and sustainability goals. Full article

For the purpose of providing crucial theoretical support for guaranteeing food security and reaching low-carbon emissions, this study examines the spatiotemporal evolution and influencing factors of the eco-efficiency of cultivated land use (ECLU) across 125 cities in the Yangtze River Economic Belt (YREB) from 2005 to 2022. Utilizing models such as Super-SBM, spatial autocorrelation, standard deviational ellipse, and regionally weighted regression, we investigate the spatiotemporal characteristics and influencing factors. The results indicate that (1) from 2005 to 2022, the overall ECLU in the YREB has shown a notable increase, demonstrating an “N”-shaped trend of “rise-decline-rise”, although trends vary at the city level, with upstream areas exhibiting higher efficiency than downstream and midstream areas. (2) Furthermore, a significant positive correlation exists in the ECLU among the cities, exhibiting pronounced spatial differentiation; the centroid displays a migration trajectory from “southwest-northeast-southwest”, with the long axis of the ellipse consistently oriented in the “southwest-northeast” direction. (3) Additionally, the influencing factors of the ECLU exhibit significant spatial heterogeneity across different years and regions, revealing substantial regional disparities among the cities in the YREB. Future efforts should focus on exploring differentiated regional pathways, increasing investment in agricultural technology, and enhancing farmers’ environmental awareness to promote the improvement of the ECLU. Full article

Based on panel data from 255 prefecture-level and above cities in China from 2011 to 2023, this article innovatively integrates digital rural construction, the digital literacy of farmers, green production of farmers, and land use efficiency into a unified framework for theoretical and empirical research. Our research has found that digital rural construction can indeed have a direct promoting effect on land use efficiency, with an impact coefficient of 0.451, which is significant at the 1% level. The addition of control variables and robustness tests indicates that this result is robust. Building digital villages can also boost land use efficiency in a roundabout way by enhancing farmers’ digital skills and promoting eco-friendly farming practices, with impact coefficients of 0.445 and 0.283, respectively, both significant at the 1% level. The impact of digital rural areas on land use efficiency is heterogeneous. Our studies have indicated that the impact of digital rural development on the shift towards green production among farmers cultivating cash crops is more significant compared to those growing grain crops. Additionally, the influence of digital rural development on improving land use efficiency is more pronounced among farmers who are risk-averse compared to those who are not. Full article

Global urbanization has caused enormous challenges that seriously threaten ecological security and the food system. Thus, there is a need for finding an optimal solution for the eco-efficiency of cultivated land use (ECLU) that can promote the development of new-type urbanization, while ensuring the sustainable utilization of limited cultivated-land resources. The quantitative system of multi-scale ECLU used in existing studies is inadequate; it is necessary to establish a measurement system from the perspective of geographical spatial relationship that uses evaluation as a key basis for management. In this study, we considered the Changchun Metropolitan Area and a representative urban–rural transition area as the target regions and customized new ECLU evaluation systems for different scales. The super slack-based measure and gravity and social network analyses methods were applied to evaluate the ECLU and explore the structural characteristics of its spatial association network. The average ECLU value for the Changchun Metropolitan Area was 0.974; the results indicated that most of the study area was eco-efficient. The value of ECLU for the urban–rural transition area varied from 0.022 to 1.323; thus, the highly efficient cultivated land was mainly distributed around the urban built-up area. The spatial association network of ECLU revealed that the overall spatial correlations were relatively weak, with a significant “bipolar” division of ECLU; furthermore, the network hierarchy and stability needed improvement. Moreover, we noted distant attraction capacity and siphoning effects outside regional boundaries. In the Changchun Metropolitan Area, it manifested as a monocentric radiation, with Changchun City as the center. In the urban–rural transition area, the cultivated land in proximity to the newly built urban area was more likely to experience spatial spillover. These findings have important implications for strengthening land-use management and advancing sustainable agricultural development for new-type urbanization. Our study can be used by policymakers and stakeholders to design sustainable urban cities, while improving land-use management and optimizing resource use. Full article

This study aimed to produce livestock manure biochar to decrease environmental problems from livestock manure and evaluate its effectiveness as an organic fertilizer by examining the growth and nutrient use efficiency of crops. A plot experiment was conducted to investigate the characteristics of lettuce growth and nitrogen use efficiency in upland soils treated with cow manure biochar. The cow manure biochar was applied at rates of 0, 3, 5, 7, and 10 t ha⁻¹ (referred to as CMB0, CMB3, CMB5, CMB7, and CMB10, respectively), along with inorganic fertilizer (IF, NPK—200-59-12 kg ha⁻¹). The lettuce cultivation test was carried out for 42 days, during which the fresh weight, dry weight, length, and number of lettuce leaves were measured. Nitrogen use efficiency was evaluated by determining the agronomic efficiency of N and the apparent recovery fraction of N. Overall, as the cow manure biochar application rate increased, crop growth and nitrogen uptake improved. Soils treated with CMB5 and CMB7 showed higher lettuce growth, nitrogen content, and nitrogen uptake compared to soils under other treatments. Nitrogen use efficiency followed a pattern similar to that of crop productivity, with cow manure biochar application levels playing a significant role. In particular, the agronomic efficiency of N and the apparent recovery fraction of N, which are both related to crop nutrient utilization, were significantly higher in the CMB5 treatment compared to the IF treatment. These results indicate that nitrogen use efficiency can be enhanced through biochar application when growing crops on agricultural land. Therefore, it is suggested that the appropriate application of cow manure biochar can reduce inorganic fertilizer use and increase crop productivity, thereby enabling sustainable and eco-friendly agriculture. Full article

To date, scholars have increasingly focused on the reduction in crop yields caused by cultivated land fragmentation, yet its effects on the ecological efficiency of cultivated land use are often overlooked. This oversight leads to land resource waste and environmental pollution. It is essential to explore this problem to achieve moderate-scale farming operations and promote the green transformation of agricultural land. This study theoretically analyzed the mechanisms by which cultivated land fragmentation and management scales influence the ecological efficiency of cultivated land use. Based on 2023 household data from Changde and Shaoyang, China, empirical tests were conducted using the stochastic frontier analysis method, Tobit model, and structural equation model. The research results indicate that: (1) The mean ecological efficiency of cultivated land use among the total sample households was 0.822, and the eco-efficiency in the plains was slightly lower than that in the hilly areas. (2) The scale of cultivated land management played a moderating role in the impact of cultivated land fragmentation on ecological efficiency, with differences observed between topographical types. The scale of management can offset part of the negative impact of cultivated land fragmentation on the ecological efficiency of cultivated land use. (3) Regarding the impact of cultivated land fragmentation on the ecological efficiency of cultivated land use, cultivated land management scale changes play a complete mediating role. These findings help provide policy implications to improve the ecological efficiency of cultivated land use. Policy support should be strengthened by promoting moderate-scale cultivated land operations, enhancing the comprehensive remediation of cultivated land fragmentation, and developing skilled farmers for long-term environmental sustainability. Full article

The effective allocation of labor and cultivated land resources to ensure food security is a global concern. Understanding the relationship between rural labor off-farm employment and the eco-efficiency of cultivated land use (ECLU) is critical, yet current research in this area remains insufficient. This study explores the dynamics between off-farm employment and ECLU using the North China Plain as a case study, analyzing panel data from 2001 to 2020 through spatial econometric models. The findings reveal significant temporal expansion and spatial differentiation in off-farm employment, with growth rates gradually slowing and spatial disparities diminishing. The average ECLU initially declined from 2001 to 2003, followed by fluctuating increases, with a notable acceleration in growth after 2017. A “U-shaped” relationship between off-farm employment and ECLU was identified, with a turning point at an off-farm employment ratio of 40.73%, occurring around 2003–2004 based on regional averages. Before this threshold, off-farm employment negatively impacted ECLU, while beyond this point, the impact became positive. The study also observed significant spatial spillover effects of off-farm employment on ECLU in the North China Plain. These findings underscore the complex interplay between rural labor migration and agricultural productivity. To maximize the benefits of off-farm employment, policies should encourage the reinvestment of income into sustainable agricultural practices. Furthermore, the significant spatial spillover effects call for enhanced regional coordination and tailored policy interventions to optimize labor allocation and improve ECLU. Full article

With global population growth and economic development, the sustainable utilization of arable land resources has become the key to guaranteeing food security and ecological balance. Eco-efficiency in cultivated land use (ECLU)has been increasingly emphasized as an important indicator of the coordinated development of agricultural production and the ecological environment. Studying ECLU in main grain-producing areas (MGPAs) is of great significance for realizing China’s food security guarantee, formulating and implementing scientific land use policies and measures, and safeguarding the long-term healthy development of agriculture. Based on provincial panel data of MGPA from 2008–2021, ECLU is calculated by the super-efficiency slacks-based measure model based on non-desired outputs (SSBM) and non-parametric kernel density estimation. The Dagum Gini coefficient decomposition model was used to explore the spatial non-equilibrium characteristics of ECLU in China, and the geographical and temporal weighted regression (GTWR) model was used to analyze the influencing factors of ECLU. The results showed the following: (1) ECLU in the MGPA showed a fluctuating upward trend, but the overall level was low. (2) In terms of regional disparity, the absolute difference in the development of ECLU among provinces showed a trend of “small-scale expansion followed by reduction”. (3) ECLU showed significant spatial imbalances, with notable internal disparities within the three basins. (4) The effects of economic development level and agricultural irrigation index on ECLU in the MGPA were positively correlated. Based on these findings, this paper suggests implementing region-specific and phased policies tailored to the natural resources and socio-economic conditions of different areas. The aim is to enhance the ecological environment, promote coordinated agricultural development, optimize regional growth, reduce agricultural disparities, and achieve sustainable development for both people and arable land. Full article

The sustainable utilization of regional cultivated land systems in the Yangtze River Delta (YRD) region over the past 40 years has been severely impacted by rapid urbanization processes. Improving the eco-efficiency of cultivated land use (ECLU) plays a significant role in achieving the sustainable utilization of farmland and high-quality development of agriculture and rural areas. In this study, the spatial–temporal features and influencing factors of the ECLU in the YRD are investigated by various methods, such as a super-efficient SBM model, hot spot analysis, Dagum Gini coefficient, and panel tobit model. The findings indicate the following: the ECLU showed an overall high level from 2000 to 2020; the ECLU varied significantly over time and space in the YRD. The ECLU presented obvious spatial agglomeration in the YRD: southern regions exhibited a concentration of cold spots, while hot spots were primarily found in the east and north of the YRD. The trend of regional differences in ECLU during the research period fluctuated upwards in the YRD, and the density difference super-variable was the main source of regional differences. Increases in urbanization level and GDP per capita contributed to ECLU enhancement in the YRD, and agricultural intensity levels and agricultural industrial structures played a negative role in ECLU improvement. Finally, we suggest that different regions should adapt to local conditions, scientifically and reasonably allocate cultivated land production resources, and promote the coordinated improvement of ECLU. This study could provide a reference for policymakers to formulate better decisions on cultivated land utilization and management. Full article

In the context of tightening resource and environmental constraints, quantitative measurement and influencing factors of cultivated land use eco-efficiency (CLUE) have become hot topics in current academic research. Existing studies primarily focus on the influence of natural, social, and economic factors on CLUE but ignore exploring the impact mechanism and effect of environmental policies on CLUE. Therefore, this study aims to explore the impact of environmental regulations on CLUE. To achieve this objective, a super-efficiency slack-based measure (super-SBM) model is used to calculate the CLUE for 31 provinces (municipalities and autonomous regions) in China from 2000 to 2009. Additionally, the intermediary effect model and the threshold effect model are used to empirically investigate the transmission mechanism and nonlinear characteristics between environmental regulation and the CLUE. The results show that: (1) the temporal dynamics of CLUE exhibit a pattern of initial fluctuating decline followed by gradual growth in China as a whole and across its eastern, central, and western regions. (2) Environmental regulation has a significant negative impact on CLUE, and the effect exhibits a nonlinear characteristic of decreasing marginal effects. (3) Agricultural technological innovation and agricultural industrial structure play a mediating role between environmental regulation and CLUE, reducing the negative impact of environmental regulation on CLUE. This study provides some implications for formulating scientifically sound environmental policies to optimize land use and enhance resource utilization efficiency. Full article

Cultivated land is a vital factor in agricultural production but faces multiple challenges, including declining total area, spatial transformation, and ecological degradation. It is imperative to enhance cultivated land use eco-efficiency (CLUE). This study aimed to evaluate the CLUE that considers both carbon sequestration and emissions using the SBM model at the county level. Next, spatial autocorrelation was employed to measure CLUE’s spatial correlation. The spatial agglomeration pattern of CLUE was determined, then time-series cluster analysis was used to identify the temporal evolution patterns of CLUE in various districts and counties. Furthermore, we explored the spatiotemporal dynamic relationship between CLUE and landscape pattern changes using landscape pattern index and geographically and temporally weighted regression (GTWR), considering spatiotemporal heterogeneity, and using interaction detectors to identify the interaction between landscape pattern factors on CLUE. The results show that: (1) From 2000 to 2020, CLUE in Henan Province varied between 0.50 and 0.70 in most years, indicating potential for improvement. There are four primary temporal evolution patterns: 26 Late-development, 22 Wave-rising, 27 Fluctuation-rising, and 29 Continuous-rising types of CLUE. (2) CLUE exhibits low values in the middle and eastern regions, i.e., areas with high values are concentrated in the southern districts, counties, and western and northern regions. CLUE has a significant positive spatial correlation with HH agglomeration areas mainly concentrated in Xinyang City, and LL agglomeration areas mainly located in the eastern and central regions. (3) Overall, different landscape factors exhibit varying degrees of spatiotemporal heterogeneity in their impact on CLUE. The total area and aggregation of cultivated land have a positive effect on CLUE, with the area of the positive influence of the total area gradually expanding over time and the aggregation gradually decreasing. The complexity of cultivated land shape has a negative effect. The impact of cultivated land patch density is two-sided, with the area of negative influence gradually expanding over time. (4) The interaction between the total area, shape, and aggregation of cultivated land is enhanced. Additionally, the interaction between cultivated land patch density and other factors has changed from a weakening to a strengthening one, and the “double-edged sword” effect has gradually shifted into a one-way effect. Therefore, in the process of land consolidation, it is recommended to prioritize regularized, larger, and more concentrated cropland patches whenever possible. Full article

Clarifying the relationship between cooperative management and cultivated land use eco-efficiency (LUEE) is of great significance to promoting the green and low-carbon transition of agriculture. To explore the role of cooperative management in the green and low-carbon transition of agriculture of smallholder farmers in the western Tarim River Basin, in this study, based on the field survey data of 444 farmers in 2021, the carbon emissions of cultivated land were used to measure the LUEE with the slack-based model (SBM) with undesirable outputs. Then, propensity score matching (PSM) was used to test the relationship between cooperative management and LUEE. Additionally, the mediating effect of farmers’ green development willingness (FGDW) and the moderating effect of farmers’ part-time off-farm employment (POE) on the relationship was explored. The present study hypothesized that joining cooperatives has an improving effect on the LUEE, which can be achieved by increasing FGDW, and this effect can be enhanced by farmers’ POE. The results show that: (1) The LUEE was generally low (average LUEE value: 0.2678), and there was a significant difference between farmer households (the difference between the maximum and minimum values was as high as 2.8716). (2) Cooperative management had a significant improving effect on the LUEE. The LUEE of cooperative farmers (ACF) increased by 8.6% compared with that of non-cooperative farmers (NACF). (3) Joining a cooperative could improve the LUEE by improving FGDW. (4) POE could enhance the improving effect of cooperative management on the LUEE. Overall, all three hypotheses were supported: cooperative management could achieve scale effects that small farmers cannot achieve, which had a positive effect on improving the LUEE. This study provides a new ecological perspective for the analysis of the relationship between agricultural cooperatives and LUEE and decision-making reference for the rational utilization of cultivated land in northwest China. Full article

Improving the coupling coordination degree between water and land resources matching (WLRM) and cultivated land use eco-efficiency (CLUE) is crucial to ensuring national food security and constructing an ecological civilization. This study is based on the data of 71 prefecture-level cities in the major grain-producing areas in the middle and lower reaches of the Yangtze River from 2008 to 2020. The unit area water resource method, the slacks-based measurement (SBM)-undesirable, the Theil–Sen median analysis, the Mann–Kendall trend test, the coupling coordination degree model, and the spatial autocorrelation model are adopted to measure and analyze the WLRM, the CLUE, and the coupling and coordination level, and their spatial–temporal evolution characteristics quantitatively. Results show the following: (1) From 2008 to 2020, the average value of WLRM in the study areas is 18,200 m³/hm², which is at a medium level, and the provinces show the characteristics of “high in the south and low in the north, with decreasing gradients”. (2) The annual average of CLUE is 0.777, which is in the medium level, and each province has the remarkable characteristics of “one high and four low”. (3) The coupling coordination degree of WLRM and CLUE is in the primary coordination level, which shows a significant positive correlation in space. In the local perspective, it shows the agglomeration characteristics of “high in the south and low in the north, nodule distribution”. In the future, the neighboring prefecture-level cities should actively build a synergistic mechanism for agricultural development, strengthen the reasonable use of water and land resources and pollution control techniques, drive the transformation of low–low aggregation areas to high–high aggregation areas, and improve the overall coordination of the study areas. This approach aims to promote the construction of ecological civilization and guarantee grain security and sustainable development of agriculture in China. Full article

Cultivated land is the foundation of human existence and development. Eco-efficiency of Cultivated Land Use (ECLU) is a comprehensive index to measure the economic, social, and ecological output of cultivated land. Therefore, it is of great theoretical and practical significance to describe the evolution characteristics of ECLU, and to explore the improvement path of ECLU for realizing the sustainable utilization of cultivated land resources, coping with the food crisis, and alleviating global warming. Hubei Province, as a traditional major province of grain production in China, can provide a reference for other developing countries in the world in terms of its management experience and technology in the production and utilization of cultivated land. In this study, the carbon emissions and pollution emissions of cultivated land use were incorporated into the calculation system of ECLU. Firstly, the undesired super-efficiency Slack-Based Measure (SBM) model was used to calculate ECLU in Hubei Province from 2008 to 2020. Secondly, the Exploring Space Date Analysis (ESDA) method was used to characterize its temporal and spatial evolution characteristics. Finally, the improvement direction of ECLU in the future was proposed from the perspective of cultivated land input factors. The research shows that, first of all, from 2008 to 2020, ECLU in Hubei Province showed a fluctuating growth trend, rising from 0.457 to 0.521, during which, it experienced two “U”-shaped changes, in 2011 and 2016. Secondly, the spatial agglomeration effect of ECLU in Hubei Province continued to increase, mainly showing two agglomeration patterns of high–high and low–low. Finally, ECLU in the study area was significantly negatively correlated with the redundancy rate of input factors. There was a redundancy in the input factors of cultivated land production, among which, the redundancy degree of agricultural employees (AM), chemical fertilizer usage (CFU), and total power of agricultural machinery (AMP) were more serious. Based on this, this paper proposes to adhere to the principle of adapting measures to local conditions and progress in an orderly manner, and to formulate differentiated and phased policies for improving ECLU according to natural resource endowments, and social and economic development conditions in different regions, in order to achieve the coordinated and sustainable development of people and cultivated land. Full article