Is Portugal’s forest transition going up in smoke?

The turnarounds from decrease to expansion in forest areas that took place during the last century have been examined through the lens of forest transition theory (FTT). Among temperate and Mediterranean European countries that have seen an expansion of forest cover, Portugal stands out as the only case in which this trend has recently been reverted. In this study, we explicitly map and document the forest transition (FT) in the country over the period 1907–2006, and investigate when and where forest transition happened de facto, and which were the land use transition pathways that resulted from the shrublands, agriculture, and forest interplay dynamics. After thematic and geometric harmonization of land cover maps from 1907, 1955, 1970, 1990, and 2006, a cluster analysis established four typologies, and a transition matrix was constructed to assess land cover dynamics. We found that up to 1955, FT occurred simultaneously with agricultural expansion, as shrubland areas diminished. Afterwards, with the retraction of agricultural area and the consequential decoupling of forest management from local actors, FT gained momentum and expanded up to the 1990s. While during the first half of the 20th century, forest expansion followed the “Scarcity” and “State Policy” pathways fostered by local socio-ecological feedback loops, throughout the second half of the century forest transition was driven by exogenous socio-economic forces, following “Economic Development” and “Globalization” pathways. We show how, despite these forces, FT can be derailed by endogenous factors such as wildfires, which limited and in some areas even reverted the afforestation process, initiating a deforestation phase. Since the necessary conditions for FT (technology shift, urbanization, agriculture retraction and public afforestation programs) were available in mainland Portugal, we advance the hypothesis that critical wildfire risk governance deficits may have been responsible for arresting FT. Considering the critical role of forests and other wooded areas in supporting climate change mitigation and sustainable development, our work provides useful evidence and insights for public decision makers on previously unaddressed dimensions of FTT.     

Enhancing ecosystem services through afforestation: How policy can help

We employ an integrated spatial economic model to assess the net private and public benefits of converting marginal agricultural land into forest plantations (afforestation) in New Zealand. For numerous locations, we conduct policy analysis considering the magnitudes of net private and public benefits of land use changes to determine whether a policy response is justified and, if so, to identify the appropriate policy instruments to encourage adoption of afforestation. Net private benefit is commonly negative, so much so, that in most cases no policy response is justified. However, in certain cases, net private benefits are slightly negative and public benefits are significantly positive justifying the use of positive incentives as the most appropriate policy instrument to encourage afforestation in New Zealand. The most commonly used policy instruments for afforestation in New Zealand, extension and awareness training, are found to be appropriate in only a minority of situations.     

合肥都市圈设施农用地时空演变特征识别及分区管控研究——基于35个评价单元面板数据的实证分析

目的 设施农用地是实现农业现代化及乡村振兴战略的重要载体。探究典型区域设施农用地时空演变特征及其类型划分,能够有效落实差异化管控策略。方法 文章以合肥市都市圈为例,综合运用区位指数、核密度、ESDA及SOFM等模型算法,精准揭示设施农用地时空演化特征,进一步划分空间区域类型及提出差异管控引导。结果 （1）设施农用地区位指数存在显著区域差异并有缩小趋势,总体呈现中北部高、西南部低的空间布局形态;（2）设施农用地空间分布呈现更加均匀化、扁平化趋势,特别是西北部设施农用地得到较快增长,仍呈现相对集中分布且以中部、北部居多;（3）核密度曲线的峰值呈现向右移动趋势,由多峰向单峰演变态势且集中于区位指数1.0附近,Moran''s I指数介于0.167 4与0.259 0,并以热点区、冷点区、冷冷点区为代表类型区域分布更为集中;（4）将合肥都市圈划分为西南丘陵适度发展区域、北部平原重点发展区域、城市圈层优化发展区域3个利用分区类型,并针对每类区域时空演变趋势特征及设施农业发展要求,提出分区差别化管控引导。结论 合肥都市圈设施农用地空间差异呈现减弱趋势,但仍具有较强空间集聚特征,将区域划分不同开发利用类型并提出差别化管控策略,可为设施农业转型发展及其用地布局优化提供理论支撑及实践参考。     

Exploring land use changes and the role of palm oil production in Indonesia and Malaysia

This study compiles and analyses national-level data on land use change (LUC) and its causes in Indonesia and Malaysia over the past 30 years. The study also explores the role that palm oil has played in past LUC and that projected growth in palm oil production may play in LUC until 2020 and suggests strategies to minimize negative effects. Data collection for the study revealed that the quality and quantity of data on LUC on a national scale over time are low. Despite these uncertainties, the overview of past LUC indicates that large changes in land use have occurred in Indonesia and Malaysia. In Indonesia, LUC can primarily be characterized by forest cover loss on 40 million ha (Mha) of land, a 30% reduction in forest land. Deforestation in Malaysia has been smaller in both absolute and relative terms, with a forest cover loss of nearly 5 Mha (20% reduction in forest land). Other large changes in Malaysia occurred in permanent cropland (excluding oil palm), which has decreased rapidly since the early 1990s, and in land under oil palm cultivation, which experienced a sharp increase. Projections of additional land demand for palm oil production in 2020 range from 1 to 28 Mha in Indonesia. The demand can be met to a large extent by degraded land if no further deforestation is assumed. In Malaysia, expansion projections range from 0.06 to 5 Mha, but only the lowest projection of oil palm expansion is feasible when only degraded land may be used. The role of palm oil production in future LUC depends on the size of the projected expansion as well as agricultural management factors such as implementation of best management practices, earlier replanting with higher yielding plants, and establishment of new plantations on degraded land. The current use of degraded land needs to be investigated in order to reduce possible indirect LUC, land tenure conflicts, or other social impacts. In addition to minimizing direct and indirect LUC by the palm oil sector, measures that reduce deforestation triggered by other causes must also be implemented. A key element for doing so is better planning and governance of land use, which entails more appropriate demarcation of forest land and protection of land that still has forest cover, improved monitoring of land use, and more research to uncover the complexities and dynamics of the causes and drivers of LUC.     

冀南地区特色农业适度规模化调查及对策研究

特色农业是现代农业的一种重要形式,可很好的发挥区域资源优势,提升农产品市场竞争力,增加农民收入,促进区域经济发展。适度规模化发展是提高农业生产效益、增强市场竞争能力的重要途径,是转变农业发展方式的重要内容,对于提高农业组织化程度、有效防范市场风险具有重要作用。特色农业适度规模化,可以最大限度地促进地区农业的发展。文章通过对冀南地区特色农业适度规模化发展现状的调查,分析该地区发展特色农业的土地、劳动力、企业、合作社等基本条件,指出该地区适度规模化在土地流转、生产体系、资金等方面存在的受制因素,提出推进土地流转、发展新型优势产业、注重品牌建设、强化科技力量、强化信息服务系统建设、加强农业基础设施建设等6项促进特色农业适度规模化发展的相应对策。     

Analysis of EU support for managed succession of agricultural land in the Czech Republic

The article presents a comparison of EAFRD support for afforestation of agricultural land (managed succession) in the years of 2007–2013 and model costs required to compensate for both operational inputs and agricultural income forgone when establishing woodland on agricultural land in the Czech Republic.The aim was to investigate whether the blanket support rates for the afforestation of agricultural land are sufficient to cover the associated costs in a wide range of site conditions. Costs were calculated for 43 groups based on forest typology. The calculation was based on the comparison of present costs and present revenues (here: European fund support) with the discount rate of 3% and a 15-year evaluation period. The analysis demonstrated that input costs vary considerably in the different forest typologies; 44% of groups show higher present costs than the support rates currently available. In the most expensive group costs are 150% higher than even an increased support rate in less favoured areas available to agricultural entrepreneurs, and almost 200% in comparison with the basic support rate. In several cases – and always in case of pine management – the support payments are notably higher than the related input costs, and because of that the land owner might be strongly motivated to change the land use from agriculture to forestry.The article points out the sensitivity of the results to the discount rate used and to the importance of the CZK/Euro exchange rate fluctuation.The analysis’ results lead us to strongly encourage a more substantial differentiation of the support rates for afforestation of agricultural, and other, land. This differentiation should be based on realistic input costs according to forest typology – the methodology of which might be relevant in several other EU countries.     

Urban encroachment,forest regrowth and land-use institutions: Does zoning matter?

As concern grows regarding urban sprawl and forest and agricultural land preservation, the effectiveness of land-use policies in shaping land-use change warrants further study. We evaluate the impact of county-level zoning laws, the most predominant land use policy in the USA, and land rents on the relative amounts of forest, agricultural, and developed land, while controlling for demographic information and taxation rates. Over the past decades, southern Indiana has experienced forest regrowth on private lands, but this regrowth has declined in recent years with increased conversion of open space for urban residential development. We develop a model of land-use shares in 40 southern Indiana counties based on the net benefits to agriculture, forestland, and urban uses using a maximum likelihood estimation of a Dirichlet distribution. We find agricultural land rent and indicators of land productivity are the most important predictors of the proportion of agriculture and urban uses. Forest use is better explained by shifting regional economic structure and hilly terrain. Counties with a greater proportion of their work force in the service sectors have a greater proportion of land forested. Finally, to some extent zoning may protect agricultural land in the region, although land rents, land characteristics, and population are strong predictors of the ratio of agriculture to urban use.     

Is Passive Farming A Problem for Agriculture in the EU?

We address a new agricultural policy concern following the decoupling of CAP direct payments in 2005: passive farming, whereby landowners maintain their agricultural area to collect payments without producing commodities. It is claimed that passive farming is hindering agricultural development by ‘blocking’ access to farmland for expanding farmers. We evaluate the links between the EU's Single Payment Scheme (SPS), passive farming, land use and agricultural development. Following identification of the rational landowners’ optimal land‐use choice, we evaluate the effects of the SPS using a spatial, agent‐based model that simulates farmers’ competition for land in a case‐study region of Sweden. We show that passive farming does not constrain land from being used in production; on the contrary more land is used than would be the case without the SPS. We conclude that passive farming is not a problem for agriculture, but provides public goods that would otherwise be under provided: preservation of marginal farmland and future food security. However SPS payments on highly productive land inflate land values (capitalisation) and slow structural change, which hinder agricultural development. Consequently CAP goals could be better served by targeting payments on marginal land and phasing out payments to highly productive land.     

成渝经济区生态农业对区域经济影响分析

[目的]区域经济发展反映经济各个方面的综合发展状况,探讨其影响因素以确定区域未来经济的发展方向,为进一步规划发展提供科学依据。[方法]先构建生态农业评价指标体系再采用层析分析法确定权重,结合线性加权和函数计算生态农业评价指数,通过相关分析法分析生态农业各个指标与区域经济的关系,最终确定生态农业对成渝经济区经济的影响程度。[结果]生态农业指标中评价指数大于0.9是森林覆盖率,介于0.8~0.7的包括投入产出比、土地生产率、农业科技贡献率、万人拥有的科技人员、劳动生产率、化肥施用量。且生态农业中各个指标与GDP都正相关,其中森林覆盖率、人均收入增长率、农业科技贡献率和万人拥有的科技人员与GDP显著相关,对区域经济的影响最大。[结论]成渝经济区经济受生态农业的影响,进一步选取更多生态农业相关因素,对于全面促进区域经济持续发展具有十分的重要现实意义。     

Land use transitions: Socio-ecological feedback versus socio-economic change

The concept of land use transition highlights that land use change is non-linear and is associated with other societal and biophysical system changes. A transition in land use is not a fixed pattern, nor is it deterministic. Land use transitions can be caused by negative socio-ecological feedbacks that arise from a depletion of key resources or from socio-economic change and innovation that take place rather independently from the ecological system. Here, we explore whether the sources of land use transitions are mostly endogenous socio-ecological forces or exogenous socio-economic factors. We first review a few generic pathways of forest transition as identified in national case studies, and evaluate the varying ecological quality of expanding forests associated with these pathways. We then discuss possible explanatory frameworks of land use transitions. We use the case of the recent forest transition in Vietnam as an illustration. Socio-ecological feedbacks seem to better explain a slowing down of deforestation and stabilization of forest cover, while exogenous socio-economic factors better account for reforestation. We conclude by discussing the prospects of accelerating land use transitions in tropical forest countries.     

Dynamic land use and land cover changes and their effect on forest resources in a coastal village of Matemwe,Zanzibar, Tanzania

Recent land cover change estimates show overall decline of tropical forests at the regional and global scales caused by multiple social, cultural and economic factors. There is an overall concern on the prevailing land use practices, such as shifting cultivation and extraction of forest materials as agents of forests losses, but also new, emerging land uses are threatening tropical forests. Understanding of the long-term development and driving forces of forest changes are needed, especially at local levels where many decisions on forest policies and land uses are made. This paper addresses the importance of such information for improved estimates of forest dynamics by studying local level land cover and land use changes during the last 50–70 years in the Eastern African tropical island of Zanzibar, Tanzania. The paper discusses the role of traditional and new land uses mainly subsistence farming, tourism and government interference through tree planting, in the long-term development of the forests at the village level. The material for the study is gathered from the interpretation of archival maps and aerial photographs combined with contemporary digital aerial photographs. The analyses are based on the mapping, spatial sampling and spatio-temporal change trajectory analysis (LCTA) of forest land cover, forest land uses and settlement patterns with GIS and statistics. Six distinct forest land cover change trajectories were identified and these illustrate dynamic and heterogeneous nature of the forests. Closed forest cover has dominated throughout due to cyclical land use patterns, but over 70% of the land area has been continuously transforming between closed, semi-open and open land cover conditions. Land use turnover rates indicate that hardly any forest areas are left untouched from the forces, which remove and re-establish forest vegetation in the long run. Land cover and land use change trajectories are spatially fragmented in the studied landscape. Majority of forest loss-gain dynamics is caused by shifting cultivation, while forest losses are most dramatic along the coast, where traditional and new land uses meet and land uses pressures are highest. The study suggests that landscape change trajectory analyses, where contemporary and historical information on land uses and land cover changes are spatially linked, can provide valuable aspects into local level forest land use planning and management strategies. For the case study, the findings suggest the following key forest management strategies for consideration: (1) establishment of a protected forest/scrubland in participation with the local stakeholders, especially the farmers, (2) promotion of areas for permanent agricultural practices, while simultaneously introducing management controls in the traditional slash-and-burn farming areas, and (3) promoting new livelihood opportunities for the farmers, who have traditionally been dependent on forest resources, meanwhile introducing alternatives for fuel wood for cooking.     

中国耕地非粮化空间格局分异及驱动机制

研究目的：摸清耕地非粮化的总体态势,揭示非粮化空间分异及驱动机制,为国家粮食安全和耕地保护政策调整提供科学依据。研究方法：空间自相关分析法、多重共线性诊断与多元回归分析方法。研究结果：（1）2018年耕地非粮化面积约为54.47×106 hm2,占耕地总面积的32.29%;（2）非粮化面积主要集中于中南部和北部,但高非粮化率主要集中于新疆、贵州和东南沿海。非粮化面积与非粮化率呈现显著不同的空间集聚特征;（3）农业实际利用外资额、城乡居民可支配收入比、农业机械总动力、乡村劳动力、土地流转面积与非粮化面积对数呈显著性正相关关系,共同驱动了全国非粮化的空间格局。但不同尺度、不同区域耕地非粮化驱动因子的空间异质性显著。研究结论：受经济、社会、政策和资源配置等多重因素影响,中国不同尺度下非粮化时空格局差异悬殊、驱动因子空间异质性显著。今后应科学设定非粮化底线、优化农业资源配置、推进农业差别化补贴,严控非粮化无序增长、稳固国家粮食安全的基石。     

农业生产风险对区域经济的影响分析

[目的]农业作为国民经济的基础产业对区域经济的发展至关重要,两者之间存在相互影响和相互制约的耦合关系。文章通过对作用于农业生产活动的主要因子对区域经济的影响研究,以期筛选出两者相互作用的关键因子,为规避或降低农业生产风险、协调经济发展提供理论基础。[方法]通过选取作用于农业生产活动的36个作用因子,对农业生产风险因子对区域经济的影响程度进行综合评分,采用层次分析法分析各指标对农业生产与区域经济影响的重要程度。[结果](1)市场需求量、农民人均纯收入、农业机械化总动力、市场价格动态、农作物种类和面积、农药化肥施用量、农田有效灌溉面积、单位耕地面积粮食产量、干旱、温度、洪涝、农业机械自动化、交通运输条件、农业信息化、农业技术推广程度等是重要性排序为前15位的风险因子。(2)随着农业机械自动化、农业信息化和农业技术推广程度的进步,干旱、温度和洪涝等风险因子对农业生产造成的产量风险随之降低。而市场需求、市场价格动态等对农业生产的作用风险在扩大,特别是在区域经济发展不稳定、发展不平衡的情况下更为突出。(3)政府财政对农业的投入、投资的规模和结构以及对农产品价格和流通的干预则影响到农业生产经营、地区生产总值和GDP的增长速率;且农业资源利用程度、栽培环境的保护以及农业环境污染的保护和治理则是区域经济可持续发展的重点。[结论]通过测度不同评价指标对农业生产的影响程度,指出作用于区域经济的关键风险因子,对降低和规避农业风险,协调农业与区域经济的稳定、可持续发展具有重要意义。     

Estimating the opportunity costs of reducing carbon dioxide emissions via avoided deforestation,using integrated assessment modelling

Estimates show that, in recent years, deforestation and forest degradation accounted for about 17% of global greenhouse gas emissions. The implementation of REDD (Reducing Emissions from Deforestation and Forest Degradation in Developing Countries) is suggested to provide substantial emission reductions at low costs, although cost estimates show large uncertainty. Cost estimates can differ, as they depend on the approach chosen, for example: giving an economic stimulus to entire countries, taking landowners as actors in a REDD framework, or starting from protecting carbon-rich areas. This last approach was chosen for this analysis. Proper calculation of the economic cost requires an integrated modelling approach involving biophysical impact calculations and their associated economic effects. To date, only a few global modelling studies have applied such an approach. In modelling REDD measures, the actual implementation of REDD can take many forms, with implications for the results. This study assumes that non-Annex I countries will protect carbon-rich areas against deforestation, and therefore will refrain from using these areas as agricultural land. The opportunity costs of reducing deforestation within the framework of REDD were assessed using an integrated economic and land-use modelling approach comprising the global economic LEITAP model and the biophysical IMAGE model. One of the main methodological challenges is the representation of land use and the possibility to convert woodlands land into agricultural land. We endogenised the availability of agricultural land by introducing a flexible land supply curve, and represented the implementation of REDD policies as a reduction in the maximum amount of unmanaged land that potentially would be available for conversion to agriculture, in various regions in the world. In a series of model experiments, carbon-rich areas in non-Annex I countries were protected from deforestation. In each consecutive scenario the protected area was increased, starting off with the most carbon rich lands, worldwide systematically working down to areas with less carbon storage. The associated opportunity costs, expressed in terms of GDP reduction, were calculated with the economic LEITAP model. The resulting net reduction in carbon dioxide emissions from land-use change was calculated with the IMAGE model. From the sequence of experiments, marginal cost curves were constructed, relating carbon dioxide emission reductions to the opportunity costs. The results showed that globally a maximum of around 2.5 Gt carbon dioxide emissions could be avoided, annually. However, regional differences in opportunity costs are large and were found to range from about 0 to 3.2 USD per tonne carbon dioxide in Africa, 2 to 9 USD in South America and Central America, and 20 to 60 USD in Southeast Asia. These results are comparable to other studies that have calculated these costs, in terms of both opportunity costs and the regional distribution of emissions reduction.     

Socio-economic and biophysical determinants of land degradation in Vietnam: An integrated causal analysis at the national level

Recognizing the socio-economic and biophysical causes of land degradation at the national level is important for cause-targeted strategies when designing policies for combating land degradation. This study aims to identify the biophysical and socio-economic factors that significantly affect land degradation across Vietnam and to interpret the causalities underlying the effects. The dependent variables considered in the study are spatial, the extent and intensity of degradation in three land-use zones (agriculture, forest and severely degraded abandonment). The hypothesized explanatory variables are common economic and demographic drivers and bio-physical factors such as soil, terrain constraints, and neighborhood land-use structures that are often neglected in many large-scale land degradation assessments. Instead of using a single inferential statistic technique, we used multi-linear regression and binary logistic regression in a complementary manner to increase the detectability and credibility of the degradation cause analyses. The results showed agricultural production growth had strong and consistent effects on land degradation extent and intensity. Population growth, especially in rural areas, had a strong effect on the extent of overall land degradation. The importance of a neighboring forest was revealed for its ability to reduce land degradation intensity in abandoned, unproductive lands. The concrete faceting of the causal analysis for each land-use zone as social–ecological stratum allowed us to combine the defined social–ecological contexts, contemporary theories, and hypotheses in the field to clarify the causal factors of a complex phenomenon like land degradation. The study demonstrates these contemporary inferential statistics can be complementarily used to sufficiently detect and understand land degradation causes at the national level. The results suggest implications for national land management policy: internalizing land degradation costs in the farming system evaluation for payment for ecosystem services policy, restricting forest conversion, and improving extension services and education in agrarian communities.     

Development stressors are stronger than protected area management: A case of the Pantanos de Centla Biosphere Reserve,Mexico

Evaluation of the management effectiveness of protected areas has become a global priority, especially in coastal zones, where essential services are threatened by land use pressures. To assess the effectiveness of a coastal protected area, we estimated the land-use change (LUC) within and outside of the Pantanos de Centla Biosphere Reserve (PCBR) and interviewed key stakeholders to identify the main stressors causing LUC. The native vegetation cover under the PCBR protection decreased by 65% over 24 years; whereas agriculture and livestock lands doubled, even within the core conservation areas of the PCBR. The greatest loss was in the flooded forest (48%), where the reduction was similar in and around the reserve. The effectiveness of reserve management was affected by drivers of land use change, which include agricultural and livestock enterprises that are run by government programs. Effective management of the PCBR has been undermined by poor management practices, limited capacity and resources, and inadequate zoning design. Protected areas and its surrounding landscapes could be considered to be natural experiments for future research, where high value land uses and conservation objectives coincide within coastal areas that will face a predicted sea level rise, more intense floods and higher temperatures.     

A causal analysis framework for land-use change and the potential role of bioenergy policy

We propose a causal analysis framework to increase understanding of land-use change (LUC) and the reliability of LUC models. This health-sciences-inspired framework can be applied to determine probable causes of LUC in the context of bioenergy. Calculations of net greenhouse gas (GHG) emissions for LUC associated with biofuel production are critical in determining whether a fuel qualifies as a biofuel or advanced biofuel category under regional (EU), national (US, UK), and state (California) regulations. Biofuel policymakers and scientists continue to discuss to what extent presumed indirect land-use change (ILUC) estimates should be included in GHG accounting for biofuel pathways. Current estimates of ILUC for bioenergy rely largely on economic simulation models that focus on causal pathways involving global commodity trade and use coarse land-cover data with simple land classification systems. This paper challenges the application of such models to estimate global areas of LUC in the absence of causal analysis. The proposed causal analysis framework begins with a definition of the change that has occurred and proceeds to a strength-of-evidence approach that includes plausibility of relationship, completeness of causal pathway, spatial co-occurrence, time order, analogous agents, simulation model results, and quantitative agent–response relationships. We discuss how LUC may be allocated among probable causes for policy purposes and how the application of the framework has the potential to increase the validity of LUC models and resolve controversies about ILUC, such as deforestation, and biofuels.     

低碳经济背景下转变农业经济发展方式研究——以广东省为例

近年来,我国农业经济面临资源与环境的严峻挑战,转变农业发展方式成为了促进农业可持续发展的重要抓手。文章以广东省为例,探讨在低碳背景下如何走出一条低排放、低污染、低投入、低能耗的农业现代化道路。对低碳经济下转变农业发展方式的必要性进行分析,挖掘制约广东省农业发展的几点问题,如耕地面积逐渐减少、农业环境污染日益严重、自然灾害频发,水土流失加剧、森林生态系统脆弱、农民受教育程度较低,素质偏低、农业科技含量低,转化成果速度慢等。明确在转变农业发展方式过程中的选择途径有发展循环农业经济、生态农业经济、有机农业经济,发展观光、休闲农业经济。并提出建立低碳能源结构、建立低碳的生产结构、实施低碳技术、提高劳动者素质的长效机制,旨在为其他相似地区在转变农业发展方式过程中如何选择路径提供参考。     

农业产业集聚对农业绿色全要素生产率的影响——基于空间溢出效应视角

目的 农业产业集聚是农业绿色发展的重要影响因素之一,剖析农业产业集聚对农业绿色全要素生产率的影响,有助于实现农业绿色化和现代化发展。方法 文章基于1998—2018年中国省域农业发展数据,引入空间因素,通过构建空间杜宾模型分析农业产业集聚对农业绿色全要素生产率的影响及其空间溢出效应。结果 （1）在样本考察期内,中国农业产业集聚与农业绿色全要素生产率均存在明显的空间相关性;（2）农业产业集聚对农业绿色全要素生产率具有显著的负向影响,且该影响具有明显的空间溢出效应,在一定程度上制约了周边区域农业绿色全要素生产率的提升;（3）财政支农、工业化和自然灾害对农业绿色全要素生产率具有显著的负向影响,城市化、对外开放对农业绿色全要素生产率具有显著的正向影响。结论 应把握省域农业空间关联规律,推进区域农业绿色、协调发展,优化资源配置,科学布局农业产业,并从财政支持、城镇化、工业化、自然灾害和农业开放水平等方面推进农业绿色全要素生产率的提升。     

要素市场扭曲对农业全要素生产率空间影响效应分解研究

目的 通过对要素市场扭曲下的农业全要素生产率的系统分析,以期为提升农业全要素生产率以及要素市场改革进程中的中国农业可持续发展提供参考。方法 文章基于资本、劳动力、土地等要素市场严重扭曲的事实,利用1997—2018年中国28个省（ 市、自治区）面板数据,通过构建空间计量模型检验要素市场扭曲对农业全要素生产率的空间影响及其溢出效应。结果 中国资本市场、劳动力市场、土地等要素市场扭曲度比较高,同时呈现显著地区差异;中国农业全要素生产率增长以技术进步驱动为主,大多数省份的技术效率不高,同时呈现出东部地区高于中西部地区的区域不平衡特点;要素市场扭曲对农业全要素生产率的影响为负,资本市场、劳动力市场、土地等要素市场扭曲在一定程度上阻碍农业全要素生产率的提升;要素市场扭曲对全要素生产率具有一定的空间溢出效应,也在一定程度抑制了全要素生产率增长。结论 考虑要素市场扭曲对农业全要素生产率影响的空间分析,更能客观反映当前不断深化的农业农村改革发展所引发的地区差距,应充分重视要素市场扭曲对农业全要素生产率的空间溢出效应,通过要素市场化改革,持续加大涉农政策调整,不断加大对农业农村生产经营的金融资源投入,逐步实现农业全要素生产率的全面提升。