Exploration on Temporal-spatial Difference of Cultivated Land Pressure and Influence Factor Analysis: A Case Study of Guangxi

Based on related statistical data during 1980-2014,change rule of Guangxi cultivated land pressure level was studied. Taking each municipal administrative division as evaluation unit,temporal-spatial change trend of cultivated land pressure level was explored by establishing pressure index model of cultivated land,and principal component analysis was used to explore the driving force of cultivated land pressure. Results showed that from 1980 to 2014 in Guangxi,cultivated land pressure was at level one in 12 years,level two in 19 years and level three in 4 years; mean of cultivated land pressure in each city during 2005-2014 was taken as average level of cultivated land pressure in the city,in which cultivated land pressure values of Chongzuo City,Baise City,Laibin City,Liuzhou City,Fangchenggang City,Nanning City,Hechi City and Guigang City were all lower than average level in Guangxi at the same period. Driving factors of cultivated land pressure index mainly contained urbanization rate,Engel coefficient of rural households(ECRH),per capita cultivated land area,total population and rural per capita net income(RPFI).

Comparative Study on the Human Driving Force of Cultivated Land and Construction Land Use Change in Hubei Province,China

Change trend of cultivated land and construction land in Hubei Province is analyzed.The years 1998-2003 are the reduction period of cultivated land;the years 2004-2007 are the increase period of cultivated land;the years 1988-2002 are the slow growth period of construction land;and the years of 2003 and 2007 are the increase period of construction land.Based on related social economic statistical data in 1988-2007,human driving forces on cultivated land and construction land in Hubei Province are analyzed quantitatively and comparatively by using SPSS software and mathematical statistics method.Result shows that driving force factors have negative driving effect on cultivated land,and positive driving effect on construction land.Driving force factors have significant differences of driving effects on cultivated land and construction land.Three principal components affecting the changes of cultivated land and construction land are policy,population and economic development level,and gap between urban and rural living standards.The three principal components have different degrees of sensitivity on the two land use types and the effects direction are reverse.The other factor driving abilities are relatively weak,and these factors have relatively stronger driving force on construction land than that on cultivated land.It is put forward that Hubei Province should implement rational allocation of land resources and scientific and rational use in order to ensure land security and to realize the sustainable development of regional economy and society based on the intensive land use,the planning policy constraints,and the agricultural and industrial production.

Sustainable Intensification of Cultivated Land Use and Its Influencing Factors at the Farming Household Scale: A Case Study of Shandong Province, China

Promoting the sustainable intensification of cultivated land use(SICL) has become crucial for ensuring a sufficient supply of grain and important agricultural products, as well as for the sustainable use of resources. Taking widely used areas of Shandong Province in China as examples, an analytical scale and level framework for SICL is constructed in this study. It measures the level of SICL through material flow analysis, constructs Tobit models to analyze the influencing factors of SICL at the farming household scale,and analyzes the transition mechanisms of SICL. The results show that the overall level of SICL in Shandong Province is low, and the spatial distribution is uneven. There are relatively more farmers participating in unsustainable intensification than in medium or low levels of SICL, with farmers working at a high level of SICL making up the smallest proportion. The factors that determine the level of SICL at which farmers work vary significantly. More male farmers operate at a low SICL level than female farmers, while females outnumber males at a high SICL level. This is mainly related to the regional distribution of age and population. Meanwhile, with larger cultivated land areas, there is a lower degree of land fragmentation, with a higher level of SICL corresponding to a smaller distance to the nearest town closer within 1–5 km from the town center. We can see the level of SICL and its processes themselves are closely related to time and space scales. Based on the above analysis, it is necessary to clarify the standard processes of SICL to adapt them to local conditions. This includes instructing managers on how to improve resource utilization, increase the sustainable development of cultivated land and establish a comprehensively efficient and functional SICL mechanism. The sustainable intensification of cultivated land use and its specific application in the new era are conducive to enriching the frontier theories and methodology of sustainable development, and are of great significance to the advancement of green agriculture and the decision-making of rural high-quality development.

A path analysis of the cultivated land change in Hubei Province,China

Hubei Province is one of the critical grain production regions in China with the quantitative cultivated landand good natural condition; it plays an important role in grain security in China. However, owing to rapid economicgrowth, population pressures, anthropogenic activities, and natural disasters, the quality of the cultivated land hassignificantly decreased in recent years and environmental resources are under increasing stress. In order to research onthe mechanism of the change of the cultivated land, this paper analyzes qualitatively the influencing factors of thecultivated land change in Hubei Province from 1978 to 2004, and distinguishes the direct factors from indirect influentones by means of the approach of the path analysis. The result shows that the area of the rent land in the total non-agricultural land, the total population growth and the fixed asset investment are the main factors deciding the change ofthe cultivated land. Meanwhile, the density of the transportation network, the proportion of per capita income of ruralcitizens to that of urban citizens, non-agricultural gross domestic production’s share of the total GDP has a less directeffect but a more indirect influence on the decrease of the cultivated land in Hubei Province. The result means that whilesome factors have less direct influence on the change of the cultivated land, its indirect influence are significant, viceversa. Thus it’s necessary to adopt a comprehensive measurement to protect the cultivated land.

The Path Analysis and Its Application Study on Cultivated Land Change in Hubei Province

On the basis of introducing the principle of path analy- sis, this paper positively analyzes the influence factors of culti- vated land change from 1978 to 2002 in Hubei Province. The relationship between the influence factors and cultivated land change is studied by means of the path analysis. The results show that the construction rearrangement of agriculture, grain security and market mechanism are the main factors that decide the culti- vated land change. Meanwhile, the impact of investment, urbani- zation and benefit gap among the different utilizing ways also leads to the change of cultivated land. The result means that though some factors have less direct influence on the change of cultivated land, their indirect influence is significant or vice versa.

Suitability Analysis of Scale Management in Northeast China Based on Efficiency Evaluation

Under the resource constraint of low per capita possession of cultivated land and the strategic requirements for ensuring national food security,the intensive and efficient use of cultivated land is an important topic for long-term research in China's academic circles. It is an important prerequisite for exploring the moderate scale management of agricultural land. The calculation results of 147 county-level units in Northeast China by DEA method show that in the use efficiency evaluation results of cultivated land of county-level units,the mean values of comprehensive efficiency,pure technical efficiency and scale efficiency were 0. 674,0. 705 and 0. 96,respectively,and the DEA effective units account for about 11%. The effective areas of pure technical efficiency and scale efficiency do not have a high level of superposition. To a certain extent,this also limits the improvement of overall efficiency. In view of the scale of family farmland management,counties and cities with an average per household possession of cultivated land of 1. 71-2. 13 ha can achieve both scale and efficiency through efficiency improvement.

Models for Analyzing the Driving Force of Cultivated Land Supply Change

This paper focuses on a series of quantitative an al ysis models, such as grey relational analysis model, hierarchical cluster an alysis model, principal component analysis model, linear regression model and elastic coefficient model. These models are used to analyze the comprehensive function and effect of driving forces systemically, including analysis on featur es, analysis for differentiating the primary and the secondary, analysis on comp rehensive effects, analysis of elasticity, analysis of prediction. The primary a nd characteristic factors can be extracted by analysis of features and analysis for differentiating the primary and the secondary. Analysis on prediction an d elasticity can predict the area of cultivated land in the future and find out which factors exert great influence on the cultivated land supply.

Remote sensing monitoring of the recent rapid increase in cultivation activities and its effects on desertification in the Mu Us Desert, China

The recent ecological improvement in the Mu Us Desert of China, largely attributed to large-scale afforestation projects, has created new opportunities for cultivation activities. However, the subsequent rapid increase in reclamation on desertification land and its impact on desertification have raised concerns. In this study, we first extracted data on cultivated land and desertification land in 1975,1990, 2000, 2005, 2010, 2015, and 2020 through the human-computer interaction visual interpretation method. By overlaying the cultivated land dynamics and desertification land, we subsequently explored the effect of cultivation activities on desertification in the Mu Us Desert during the six periods from 1975 to 2020(1975–1990, 1990–2000, 2000–2005, 2005–2010, 2010–2015, and 2015–2020). The results showed that cultivated land in the Mu Us Desert showed a fluctuating and increasing trend from 3769.26 km~2 in 1975 to 4865.73 km~2 in 2020, with 2010 as the turning point for the recent rapid increase. The main contributors included the large and regular patches distributed in Yuyang District and Shenmu of Shaanxi Province, and relatively smaller patches concentrated in Inner Mongolia Autonomous Region. The increased cultivated land from the reclamation on desertification land was dominated by moderate and severe desertification lands, and the decreased cultivated land that was transferred into desertification land as abandoned cultivated land was dominated by slight and moderate desertification lands. The effect of cultivation activities on desertification reversal(average area proportion of 10.61% for reversed desertification land) was greater than that of the development of desertification(average area proportion of 5.82% for developed desertification land). Nevertheless, compared to reversed desertification land,both the significant increase of developed desertification land during the periods of 2000–2005 and 2005–2010 and the insignificant decrease during the periods of 2005–2010, 2010–2015, and 2015–2020 implied a potential remobilization risk. Therefore, this study provides a significant theoretical reference for the formulation of ecological restoration projects and regional macroeconomic development policies by considering the influence of cultivation activities, to ensure the overall environmental stability and sustainability in desertification land where reclamation and abandonment activities have taken place.

Analysis of the Spatio-temporal Differentiation of Cultivated Land Pressure in the Pearl River-Xijiang Economic Zone and Its Influencing Factors

Cultivated land pressure is often used to reflect the shortage of cultivated land resources. By using the methods of the Cultivated Land Pressure Index, coefficient of variation and cold-hot spot analysis, this paper analyzes the spatial-temporal differentiation pattern and dynamic change processes of cultivated land pressure in the counties of the Pearl River-Xijiang Economic Zone from 2008 to 2017, and measures the factors which influence cultivated land pressure by using Principal Component Analysis. The results show that the cultivated land pressure in the Pearl River-Xijiang Economic Zone has been in a “high pressure” state, and the Cultivated Land Pressure Index has been rising continuously from 2008 to 2017. The coefficient of variation of the Cultivated Land Pressure Index in the Pearl River-Xijiang Economic Zone and various prefecture-level cities is fluctuating and rising, which indicates that the overall spatial differences in the cultivated land pressure in this region are expanding and polarization is obvious. In addition, the area where the municipal district of the provincial capital city is located is the core area of urban development and also the area with the greatest cultivated land pressure. The spatial pattern of cultivated land pressure cold-hot spots in the Pearl River-Xijiang Economic Zone is obviously heterogeneous, in which the Pearl River Economic Zone is the main hot spot gathering area and the Xijiang Economic Zone is the main cold spot gathering area. Farmers’ income, investment in fixed assets, GDP, population and other socio-economic factors are the main factors driving the changes in the cultivated land pressure in the Pearl River-Xijiang Economic Zone. Furthermore, farming production factors, such as the multiple cropping index and grain yield per unit area,will also have an important impact on the changes in the cultivated land pressure.

东北三省耕地利用格局变化对粮食全要素生产率的影响

耕地是粮食生产最基本的要素,当前粮食需求扩大与粮食生产区域性不足矛盾突出,寻求更合理的耕地利用格局来实现粮食全要素生产率的提升具有重要意义。本研究基于土地利用/土地覆被变化(LUCC)遥感监测数据,应用GIS软件提取东北三省2000、2005、2010、2015年耕地利用格局相关数据,同时运用数据包络分析模型估算了2000、2005、2010年和2015年东北三省区域和市域粮食全要素生产率。在耕地利用格局变化分析和粮食全要素生产率测算的基础上,从耕地利用格局变化的角度选取指标构建面板数据模型,定量分析其对粮食全要素生产率的影响。结果表明:东北三省市域粮食全要素生产率4个时期均值分别为0.81、0.78、0.82和0.83,粮食全要素生产率空间分布从最初的相对均匀到局部集聚;耕地转出率和耕地斑块破碎度与粮食全要素生产率呈负相关关系,耕地面积比例、耕地转入率和耕地斑块聚合度与粮食全要素生产率呈正相关关系;东北三省粮食全要素生产率提高主要源于耕地面积增加、林地和未利用地向耕地的转入以及耕地在流域的聚合,粮食全要素生产率的降低主要源于耕地转入减少和建设用地对耕地的嵌入式占用。研究表明,严格规划耕地利用格局、持续开展土地整理、提高耕地聚合度,可在保证耕地有效数量的同时,提高耕地利用格局的集聚性和合理性,促进粮食全要素生产率的提升。

耕地种植结构演变的影响因素与多元路径——基于30个省份案例区的模糊集定性比较分析

基于模糊集定性比较分析法,分析中国30个省份耕地种植结构演变的影响因素与多元路径。结果表明:(1)耕地“非粮化”或“趋粮化”演变是耕地稀缺性、劳动力外出务工、种粮劳动力成本、农地流转规模、种粮土地成本、农业机械化作业和农业社会化服务7个因素联合作用的结果;(2)存在生产要素驱动型和规模局限型两条“非粮化”路径,以及耕地资源丰裕—种粮规模化和土地成本诱导—种粮规模化两条“趋粮化”子路径;(3)种粮土地成本上涨是“非粮化”的重要诱因,农业现代化生产体系是互补因素,能够缓解种粮土地成本压力对粮食种植的不利影响;(4)劳动力外出务工与农地流转规模、农业机械化作业和农业社会化服务等因素相互关联,对耕地种植结构演变发挥联动影响。

下辽河平原区耕地非农化时空演变特征及驱动机制

探索耕地非农化的时空演变特征及其驱动机制是耕地保护的前提,分析下辽河平原区2000—2020年耕地非农化的时空演变特征及驱动机制,可以为该地区耕地保护政策的制定与防止耕地非农化提供理论依据。本文基于2000年、2005年、2010年、2015年和2020年5个时期的土地利用数据,以下辽河平原区为研究区域,结合社会经济数据,运用ArcGIS 10.2空间叠加分析,计算耕地非农化面积,采用重心迁移模型、核密度分析、地理探测器等统计学和地理信息系统的空间分析方法,揭示下辽河平原区耕地非农化特征及其演变趋势,并探讨其耕地非农化的驱动因素。研究结果表明:1)在时间上,下辽河平原区耕地非农化面积和非农化率呈现周期性波动,耕地非农化总面积为2201.52 km^(2),耕地非农化率为7.11%。2)在空间分布上,耕地非农化的重心主要从辽中区向东北方向迁移至于洪区,下辽河平原区耕地非农化东部地区高于西部地区,核密度最大值1657.3,主要在于洪区、浑南区、沈北新区、苏家屯区附近;耕地非农化的次集中区域为新民市和昌图县,其核密度最大值分别为1033.18和1018.49。3)在驱动因素上,耕地非农化驱动因素影响依次为农业机械总动力>户籍人口>城镇人口>固定资产投资>第三产业增加值>GDP>粮食产量>第二产业增加值,交互作用探测器表现为双因子增强或非线性增强关系。综合来看,耕地非农化是社会、经济因素综合作用的复杂结果。鉴于此,本文建议通过严格控制城市建设用地占用耕地的规模、挖掘农村居民点利用潜力、转变经济发展方式、推动农业产业结构调整等措施治理耕地非农化。

土壤有机质含量与粮食单产的相关性分析——以河南省兰考县为例

通过分析土壤有机质含量对粮食单产的影响方式和程度,为耕地土壤测土配方施肥工作中有机质含量的确定提供理论参考,也为粮食生产中的降本增效提供相关建议。以兰考县为例,用3种方式对样点进行处理,分别采用趋势分析法,在散点图中添加拟合曲线,系统研究了2019年耕地质量等别成果中的土壤有机质含量因素和当年203个行政村粮食单产的相关关系,分析了土壤有机质含量对粮食单产的影响。结果表明:粮食单产不会随土壤有机质含量的增加而一直增加,二者的关系在图形上呈开口向下的抛物线形态,理论上存在一个能让粮食单产达到最大值的土壤有机质含量临界值。根据3种拟合曲线,计算出兰考县的土壤有机质含量临界值在12.50~13.00 g/kg之间。参考《高标准农田建设通则》(GB/T 30600—2022)中的相关要求,经过验算和分析,将兰考县土壤有机质含量的临界值确定为15.00 g/kg。建议不同的地区要根据自身情况严格论证土壤有机质含量的临界值,当有机质含量达到临界值后,可以适当减少有机质方面的投入,降低粮食生产成本,同时也不会因过多增加土壤有机质含量而影响粮食产量。

县域耕地非农化时空演变特征及动态趋势研究——以安徽省为例

耕地是国家粮食安全的物质基础,把握耕地非农化的时空演变规律及动态趋势,对保障粮食供给和可持续发展具有重要意义。以安徽省为研究对象,基于ArcGIS、GeoDa和Matlab软件,提取安徽省1995—2020年耕地非农化数据,在县域尺度上,采取探索性空间数据分析方法研究耕地非农化时空演变特征,运用MarKov链分析耕地非农化的动态演变趋势,为合理管控耕地非农化提供科学依据。结果表明,安徽省耕地非农化面积高值区主要位于安徽省中部(合肥都市圈)重点发展区,低值区主要集中在安徽省北部和南部一些经济欠发达地区,空间集聚性呈先减后增再减趋势,集聚效应逐渐减弱,冷热点区在空间上形成了“块状热点集群”和“点状冷点集群”。安徽省县域耕地非农化水平的趋势主要表现为:不同等级间不够稳定,易发生转移;等级转移基本发生在相邻类型之间,较少出现“跳跃式”转移;考虑空间因素后发现,相邻县区差异化的耕地非农化水平对本县区发生等级转移的概率有不同程度的影响,随着空间溢出效应增强,维持原等级的概率越低,更易发生转移;等级转移的概率同时受空间滞后类型和初始等级的影响。

1990—2020年滇中城市群耕地非农化时空变化特征及驱动机制

[目的]通过分析滇中城市群30年耕地非农化的演变路径、时空变化特征及驱动机制,为滇中城市群耕地资源的保护及精准管理提供理论依据。[方法]基于滇中城市群土地利用数据和统计年鉴数据,运用重心迁移模型、变化轨迹模型、空间自相关分析、主成分分析等方法揭示1990—2020年滇中城市群耕地非农化过程、空间分布特征及主要驱动因素。[结果](1)从时间上看,滇中城市群耕地非农化面积呈波动下降趋势,2000年前后由年均增加约6.88×10^(3)hm^(2)转变为年平均减少约2.66×10^(4)hm^(2),受政策、经济和城市化影响导致其变化最剧烈。从空间上看,耕地非农化集中分布于滇中城市群的中部、东部、东南部和东北部地区。(2)30年来,滇中城市群耕地非农化在空间分布上趋于均衡,区域间耕地非农化差异变小,空间格局趋于稳定。(3)滇中城市群耕地主要转出为林地和草地,少部分转化为建设用地,变化型耕地中有54.60%与草地相关,29.33%与林地相关,4.64%与建设用地相关,主要发生在滇中城市群的中部、北部、东南部和西北部的局部区域。(4)滇中城市群耕地非农化存在显著的空间聚集效应,以高—高聚集和低—低聚集为主,高—高聚集主要分布在中部、北部和东南部,低—低集聚主要分布在西北部、西部和西南部。(5)滇中城市群耕地非农化受社会经济和自然条件共同影响。社会经济中的农业人口、国有固定产投资和城市化率是耕地非农化最主要的驱动因素,影响系数分别为-0.18,0.11,0.10;而自然因素年平均降水量和年平均气温在耕地非农化空间分布和扩张过程起着关键性的作用,影响系数分别为0.17,-0.15。[结论]研究结果揭示30年来滇中城市群耕地非农化的时空变化特征、演变路径及驱动机制。对合理利用和保护耕地资源,保障云南省粮食安全具有重要作用,在一定程度上可为滇中城市群的耕地保护和耕地布局优化提供决策参考。

近十年我国耕地保护政策的回顾与启示

文章回顾了2012—2022年我国发布的耕地保护政策,采取政策量化分析和内容分析相结合的方法,从耕地数量变化、耕地质量建设和生态保护三个方面进行研究。结果显示,近十年我国耕地保护政策不断完善和细化,但政策手段使用并不均衡;全国耕地数量趋稳并逐步回升,但也面临耕地总体质量不高、耕地生态建设和治理体系不完善等问题。在下一阶段制定耕地保护政策时,应科学利用法律、行政、经济、技术政策手段,充分发挥各政策手段的优势,特别是针对耕地质量建设和生态保护等问题,进一步从经济运行层面探讨经济手段的使用,引导社会力量参与;同时还要关注耕地涉及的社会经济高质量发展下的耕地阈值、不同主体的需求问题,并建立健全政策体系和制度需求者的反馈机制。

长江中下游粮食主产区耕地面源污染时空分异特征

为揭示长江中下游粮食主产区耕地面源污染时空规律,利用长江中下游粮食主产区58个市(州、区)统计数据,采用空间分析模型、重心模型、冷热点分析等方法分析了2009—2019年长江中下游粮食主产区耕地面源污染时空分异特征。结果表明:长江中下游流域整体以及赣湘鄂皖4省2009—2019年耕地面源污染总量和强度总体均呈现出“先升后降”的变化趋势,其中湖北省的耕地面源污染强度与总量均位于前列。2009—2019年耕地面源污染强度总体表现为“西高东低”的空间分布特征,其中江西省整体上一直保持为低污染强度,湖北省则为高污染强度聚集区。长江中下游粮食主产区耕地面源污染强度重心变化呈现出“区间震荡”的规律,且长江中下游粮食主产区耕地面源污染强度重心迁移呈现明显的阶段特征。2009—2019年长江中下游粮食主产区耕地面源污染强度呈现出明显的空间聚集态势,总体表现为“东冷西热”的空间分布格局。因此,长江流域中游段特别是湖北省和湖南省是未来进一步推进耕地面源污染防治的重点区域,要统筹好国家粮食安全和耕地生态安全双重目标。

“非粮化”、“大食物观”与粮食资源配置

粮食安全是保障人民生活幸福、社会经济发展与国家长治久安的基础。耕地作为粮食生产的重要载体,对于保障粮食的“质”与“量”至关重要。当前,耕地“非粮化”现象愈演愈烈,严重威胁了中国的粮食安全。随着大食物观的提出,人民对于食物多元化的需求也日趋显著。践行大食物观,有利于优化作物种植结构、平衡食物供求关系、提升粮食资源配置的安全性和有效性、促进人地系统协调与可持续发展。因此,本研究立足于大食物观,对粮食资源配置的原则与方式进行探讨,从耕地是否进行轮作、间作与套种角度进行分析,探讨了大食物观下耕地非粮化中“粮”的配置方式,并对广西和云南耕地利用与保护的典型案例进行分析,以期为科学合理地界定耕地“非粮化”中“粮”的内涵,制定耕地保护方案和利用规划提供一定的参考和借鉴,以保障食物安全,促进耕地可持续利用与乡村振兴。

基于流域尺度的耕地时空格局演变与分异性研究

流域尺度下的耕地分布跨度大,为探究流域耕地时空格局演变规律,基于1990、2000、2010、2020年4期土地利用遥感监测数据,以黄河、淮河、海河和长江4大流域为研究区,利用土地利用转移矩阵、重心模型、核密度方法分析流域耕地与其他土地利用类型转移情况、耕地重心迁移和耕地聚集特征,并对4大流域水田旱地分异现象进行分析。结果表明:1990—2020年间4大流域耕地面积均减小,其中海河流域耕地减小率最大,为9.16%;除海河流域耕地重心向西南方向迁移外,其他流域耕地重心均向东北方向迁移,整体耕地重心向北方向迁移,1990—2020年迁移距离分别为1.8、5.9和5.1 km;4大流域水田、旱地除部分水旱田调整外,主要是在林地、城乡用地和草地3种土地利用之间进行,转移主要发生在2010—2020年期间。1990—2020年黄河流域水田面积减少了9.35%,旱地面积减少了4.91%;淮河流域水田面积增加了3.51%,旱地则减少了7.10%;海河流域水田和旱地分别减少了70.46%和6.71%;长江流域水田和旱地分别减少了8.15%和1.72%。黄河、淮河、海河和长江4大流域为国家水网的主网,与本研究范围一致,研究成果可为进一步研究耕地资源与水网建设匹配性提供必要的前提。

耕地保护经济补偿实施绩效与实施偏差

在“经济-生态-福利”绩效内涵及评价模式构建基础上,引入物元可拓模型,探讨了成都市2009—2018年耕地保护经济补偿绩效并分析其实施偏差。结果表明:①2009—2018年成都市耕地保护经济补偿绩效水平等级整体呈现出“较差”等级向“优秀”等级跃升趋势,但其转化状态不稳定。②2009—2018年成都市耕地保护经济补偿政策在经济绩效方面的作用较为显著,而其生态绩效和福利绩效却整体偏低。③政府耕地保护经济补偿成本系数、农村人均可支配收入、农村社会消费品零售额、农村居民参加社会养老保险人数等指标对成都市耕地保护经济补偿绩效提升有重要贡献,而化肥施用量不合理与耕地保护的农村劳动力投入过少成为制约其绩效提升的关键因素。④耕地保护的多重显性和隐形效益是耕地保护经济补偿绩效实施较低的内在因素,而耕地保护相关利益主体在耕地保护经济补偿政策实施过程中的行为抉择是其绩效高低的核心外在因素。因此,加强耕地保护经济补偿绩效内涵及绩效动态评估模型研究,探索耕地保护的多重显性和隐形效益显化及内化机制应成为今后研究重点。