An economic analysis of sheep flock structures for mixed enterprise Australian farm businesses

A strategic question facing many mixed enterprise broadacre farm businesses in Australia is, ‘What sheep flock size and structure is most profitable to complement the farm’s cropping enterprises?' This study answers this question for a typical large mixed enterprise farm business in a key production region of Australia. Whole‐farm bioeconomic modelling, combined with broad‐ranging sensitivity analysis, is used to examine the profitability of different sheep flock structures and sizes. We find the most profitable flock structure is to run Merino ewes and turn off finished Merino or first‐cross lambs. The profitable selection of these flocks is robust to commodity price variation but does require the farmer to give more attention to sheep management. The correct choice of flock structure greatly adds to farm profit. A farm based on cropping and a self‐replacing Merino flock using surplus ewes for first‐cross, meat lamb production earns 33 per cent more profit than a similar farm that runs a traditional self‐replacing Merino flock that emphasises wool production. Of far less importance than flock structure, as a source of additional profit, is to increase flock size or adjust cropping intensity.     

The impact of drought and water scarcity on irrigator farm exit intentions in the Murray–Darling Basin

Drought and future water scarcity in the Murray–Darling Basin (MDB) will continue to restructure the irrigation industry in the coming decades. There has been little work conducted in Australia that has modelled farm exit or exit intention. ABARES farm survey data were used to model irrigators’ farm exit intentions across the southern MDB from 2006 to 2013. In particular, we examined the hypotheses that drought and water scarcity positively impacted on farm exit intentions and that it is the poorest performing farms that intend to exit in times of drought. Results revealed that water scarcity impacts varied considerably. There was only weak evidence to suggest that irrigators’ exit intentions were higher in times of drought, but there was stronger evidence to support the influence of a lagged water scarcity impact on farm exit intentions during periods of nondrought (e.g. intending to exit at times when the property market was less depressed). There was also strong evidence that poorer performing farms (measured by rates of return and higher debt over a certain level) were more likely to have exit intentions in drought periods, but not necessarily so in nondrought periods. Older age is the most consistent predictor of farm exit intentions across all industries, though it was most significant in drought periods.     

中国南方水稻干旱的解决途径探讨——对政府部门、科研

概述中国南方水稻种植面临的干旱问题，报告对有关政府部门、科研机构和农户调查的简况、政府部门和科研机构以及农户采取的抗旱措施，同时比较了各有关方面对干旱解决途径的看法，为解决中国南方水稻干旱问题，提出建议：加强中国南方水利设施的修建和管理、关注耐旱水稻品种的培育、加快农技推广体系的改革和建立完善的农技推广体系。     

Impact of off‐farm income on food expenditures in rural Bangladesh: an unconditional quantile regression approach

This study examines the effects of off‐farm income on food expenditures of rural Bangladeshi households. Our analysis yields unbiased estimates of the unconditional impact of off‐farm income on food expenditures and reveals the heterogeneous effects that occur across the distribution of total food consumption expenditures. The findings suggest that the impacts of off‐farm income are uniformly positive across the unconditional quantile regression and significantly increase food consumption expenditures for all quantiles, except for the 25th quantile. In addition, we found that schooling, experience, and location of the household increase the food expenditures of rural households. Most importantly, this article argues that female‐headed rural households in which the female works off the farm tend to have significantly lower food expenditures.     

基于OLS和分位数回归的农地整理管护绩效研究

研究目的:在对农地整理管护绩效进行测度的基础上,揭示管护绩效的影响因素及其在不同分位点处的变化特征。研究方法:结构—行为—绩效的研究范式和基于OLS回归、分位数回归的实证检验。研究结果:(1)实证区域管护绩效均值为35.620,标准差为5.583,呈非正态的"单峰模式"分布;(2)OLS回归结果指出,制度结构和管护行为显著影响农地整理管护绩效,验证了"结构—行为—绩效"分析框架的有效性;(3)分位数回归的结果说明,低、中、高水平区间内管护绩效的影响因素不完全一致。研究结论:分位数的研究视角有助于深入分析管护绩效的样本分布区间特征,在不同绩效水平区间应综合运用多种管理措施以提升管护绩效。     

Evaluating the effects of farm programmes: results from propensity score matching

The paper applies a semi-parametric propensity score matchingapproach to evaluate the effects of agri-environment (AE) programmeson input use and farm output of individual farms in Germany.The analysis reveals a positive and significant treatment effectof AE programmes on the area under cultivation, in particulargrassland, resulting in a decrease of cattle livestock densities.Furthermore, participation significantly reduced the purchaseof farm chemicals (fertiliser, pesticide). We also find differencesin the treatment effect among individual farms (heterogeneoustreatment effects). Farms that can generate the largest benefitfrom the programme are most likely to participate.     

Adoption of climate‐smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana

Increased climate variability during the last four decades has made the agricultural environment in many developing countries more uncertain, resulting in increasing exposure to risk when producing crops. In this study, we use recent farm‐level data from Ghana to examine the drivers of individual and joint adoption of crop choice and soil and water conservation practices, and how adoption of these practices impacts on farm performance (crop revenue) and exposure to risks (skewness of crop yield). We employ a multinomial endogenous switching regression model to account for selectivity bias due to both observable and unobservable factors. The empirical results reveal that farmers’ adoption of crop choice and soil and water conservation leads to higher crop revenues and reduced riskiness in crop production, with the largest impact on crop revenues coming from joint adoption. The findings also show that education of the household head, access to extension and weather information influence the likelihood of adopting these practices. Thus, enhancing extension services and access to climate information and irrigation can reduce gaps in adoption of soil and water conservation and crop choice, considered as climate‐smart practices that will eventually improve crop revenues and reduce farmers’ exposure to climate‐related production risks.     

Crop genetic diversity, farm productivity and the management of environmental risk in rainfed agriculture

This paper presents an assessment of the linkages between cropgenetic diversity, farm productivity and risk management. Aflexible moment-based approach is used to analyse the impactof crop genetic diversity on the mean, variance and skewnessof yield. Using farm-level data from Sicily (Italy), econometricevidence shows how crop genetic diversity can increase farmproductivity and reduce risk exposure. The empirical resultsindicate that crop genetic diversity can reduce variance, butonly if pesticide use is low. Furthermore, high diversity levelscan reduce downside risk exposure (e.g. the risk of crop failure).This provides useful insights on the linkages between resilienceand crop genetic diversity.     

Simultaneous estimation of work choices and the level of farm activity using panel data

We analyse the simultaneous determination and evolution overtime of work choices and the level of farm activity, using apanel of Israeli farm households. We estimate jointly a multinomialchoice model of work activity and an endogenous switching regressionof farm size, accounting for unobserved heterogeneity and correctingfor simultaneity bias. Our results imply that some family farmstend to expand over time and specialise in farming, whereasother farm households downsize their farming operation and increasetheir engagement in the off-farm labour market. Therefore, thesize distribution of farms is converging towards a bimodal distribution.     

扎龙湿地对水旱灾害影响问题的探讨

通过对扎龙湿地观测数据和相关资料的分析，探讨湿地减少对水旱灾害的影响，分析其影响因素，针对湿地存在的问题，提出了加强宣传教育、加快立法步伐、加大执法力度、增加投入、加强基础设施建设和减轻扎龙湿地水旱灾害的对策建议，以保护扎龙湿地生态系统的功能和生物多样性。     

退耕还林工程对西部农户收入的影响:对西安周至县南部山区乡镇农户的实证分析

研究目的:分析研究退耕还林工程对西部山区农户收入的影响和作用。研究方法:利用西安交通大学人口与发展研究所2008年4月在周至南部山区的农户生计调查数据,建立统计回归模型,分别采用多元线性和分位数回归分析方法,定量分析退耕还林工程对西部山区农户收入的影响。研究结果:参与退耕还林对农户家庭纯收入有着显著的正向影响,尤其是对于中低收入农户,但参与退耕通过户耕地面积和农业劳动时间变化对中低水平的农户收入也仍有一定的负面作用。研究结论:为巩固退耕工程成果,当地政府应提供信息,提高农户的社会资本,积极发展外出务工等非农生产活动。     

基于GIS的典型白浆土区八五三农场耕地地力的定量评价

以黑龙江省典型白浆土区的853农场为例,采集农田耕层(0~20cm)样品1695个,以土地利用现状图的耕地图斑为评价单元,选取10个指标,利用特尔菲法和层次分析法,结合GIS技术,对853农场耕地地力进行了定量化的分析和评价。评价结果表明八五三农场耕地地力整体水平为:三级地占总耕地面积的35.47%,其次为二级和四级,分别占27.53%和20.86%,比例最小的是一级和五级地,分别占6.83%和9.30%。分级结果较好的体现了地区特点,同时明确了不同等级耕地的面积、空间分布格局,为探讨制定科学的培肥政策、提高作物产量和土壤基础地力,保护生态环境提供了定量化的分析依据。     

Determinants of off‐farm work and its effects on farm performance: the case of Norwegian grain farmers

Limited attention has been given in the literature to the impact of off‐farm work on farm performance. More knowledge about the determinants of part‐time farming and its effects on farm performance could help policymakers to introduce better targeted rural development policies. The aim in this article is to fill part of the above‐mentioned gaps by analyzing factors that influence the choices of off‐farm work by either the farmer alone or jointly by both the farmer and partner; and simultaneously examining how off‐farm work influences farm performance. These analyses were based on an unbalanced panel data set from Norwegian grain farms during 1991 to 2005. Among the determinants of off‐farm work hours, we found that, in addition to demographic, time trend, and some regional effects, there was a significant negative effect of farm output on farmers' off‐farm work hours. The production function results revealed that off‐farm work had a positive effect on farm output, at first increasing but then decreasing with increase in hours spent in off‐farm work. Furthermore, our analysis revealed no systematic effect of off‐farm work on farm technical efficiency.     

External and Internal R&D,Capital Investment and Business Performance in the Spanish Agri‐Food Industry

We examine the effects of external and internal expenditure on research and development on the business performance of industrial agri‐food enterprises. For this purpose, a data sample from the Encuesta de Estrategias Empresariales en España (Survey of Business Strategies in Spain) was used, which includes information on more than 400 businesses over the period 2000–2008. The econometric analysis uses quantile regressions to address the vast asymmetry of the variables and to identify non‐linear relationships. The results reveal interesting new findings on the impacts of R&D on the agri‐food industry. The most evident, although not the most immediately apparent, relationship concerns the positive effects of external R&D on business performance. Internal R&D was also revealed to be an important way of enhancing the productivity of SMEs. In addition, the modernisation of the production process through investment in capital goods continues to be the main path to improve competitiveness. However, support was found neither for the inverse relationship, that is the most profitable firms are those that spend the most on R&D, nor for complementarity between external and internal R&D. The latter would imply that the bulk of Spanish agri‐food firms have at most the capacity for only one type of R&D.     

近50年广东省旱灾受灾面积的时序分形研究

应用非线性动力系统的理论分析了广东省1950-1999年的旱灾受灾面积时序变化的混沌特性;通过重构其嵌入的相空间达到恢复系统复杂的动力机制;经计算表明,该时间序列分布具有分形特性,是一混沌的时间序列;其饱和关联维教d为1．884。相应的饱和嵌入雏教为6。即：该系统的有效自由度为6个;初步给出了系统的影响因子;经计算反映系统混沌程度的指标Kolmogorov熵K=0．1135。结果显示它的平均可预报尺度在8-9年。     

广西钦州市旱涝灾害特点与成因分析

钦州市旱涝灾害发生频率高且灾情惨重;1950~2001年旱涝灾害发生有周期缩短和时空的影响不均衡等特征;主要的致灾因子有自然环境复杂多样、气候异常、防灾减灾体系脆弱以及人口与社会财富集聚体的增多和集中等。     

Africa's changing farm size distribution patterns: the rise of medium‐scale farms

This study assesses changes over the past decade in the farm size distributions of Ghana, Kenya, Tanzania, and Zambia, drawing on two or more waves of nationally representative population‐based and/or area‐based surveys. Analysis indicates that much of Sub‐Saharan Africa is experiencing major changes in farm land ownership patterns. Among all farms below 100 hectares in size, the share of land on small‐scale holdings under five hectares has declined except in Kenya. Medium‐scale farms (defined here as farm holdings between 5 and 100 hectares) account for a rising share of total farmland, especially in the 10–100 hectare range where the number of these farms is growing especially rapidly. Medium‐scale farms control roughly 20% of total farmland in Kenya, 32% in Ghana, 39% in Tanzania, and over 50% in Zambia. The numbers of such farms are also growing very rapidly, except in Kenya. We also conducted detailed life history surveys of medium‐scale farmers in each of these four countries and found that the rapid rise of medium‐scale holdings in most cases reflects increased interest in land by urban‐based professionals or influential rural people. About half of these farmers obtained their land later in life, financed by nonfarm income. The rise of medium‐scale farms is affecting the region in diverse ways that are difficult to generalize. Many such farms are a source of dynamism, technical change, and commercialization of African agriculture. However, medium‐scale land acquisitions may exacerbate land scarcity in rural areas and constrain the rate of growth in the number of small‐scale farm holdings. Medium‐scale farmers tend to dominate farm lobby groups and influence agricultural policies and public expenditures to agriculture in their favor. Nationally representative Demographic and Health Survey (DHS) data from six countries (Ghana, Kenya, Malawi, Rwanda, Tanzania, and Zambia) show that urban households own 5–35% of total agricultural land and that this share is rising in all countries where DHS surveys were repeated. This suggests a new and hitherto unrecognized channel by which medium‐scale farmers may be altering the strength and location of agricultural growth and employment multipliers between rural and urban areas. Given current trends, medium‐scale farms are likely to soon become the dominant scale of farming in many African countries.     

Impact of an urban growth boundary across the entire house price spectrum: The two-stage quantile spatial regression approach

This study provides evidence for the impact of an urban growth boundary (UGB) on house prices. The study employs a two-stage quantile spatial regression method on a dataset that inventories sales transactions of single-family houses within two miles of either side of the eastern boundary of the primary UGB in King County, Washington. The results show that while the UGB decreases house prices across the entire house price spectrum, the impact is uneven; it is most pronounced for houses in the 5th to 8th decile of prices. These findings should encourage policy makers to adopt sub-housing-market-level policy approaches to address UGB and other urban and regional development policies’ potential impacts on house prices.     

The impact of climate change on labour demand in the plantation sector: the case of tea production in Sri Lanka

Limited opportunities for crop switching and lengthy preharvesting periods make the plantation sector particularly vulnerable to climate change. Surprisingly, however, the economic consequences of climate change on plantation crops are seldom analysed. Drawing on a unique primary panel data set from a representative cross section of 35 tea estates in Sri Lanka over the period 2002–2014, this study implements a structural model of estate profit maximisation to estimate the elasticity of labour demand with respect to different components of weather. Results indicate a negative relationship between labour demand and rainfall in the south‐west monsoon, the north‐east monsoon and the second inter‐monsoon. A positive relationship is found between labour demand and rainfall in the first inter‐monsoon. Overall, predicted changes in rainfall by 2050 are anticipated to reduce labour demand by approximately 1,175,000 person‐days per year across Sri Lanka's tea plantation sector. This is likely to have considerable social and welfare implications, particularly for the Indian Tamil women who comprise the majority of the sector's workforce.