Farm Capital Investment and Deviations from the Optimal Path

We identify farms’ optimal investment path in capital assets and compare it with their actual investment to assess the direction and extent of deviation from the optimal investment. A probit model is further used to investigate the determinants of the probability that a farmer over‐ or under‐invests in capital assets. We use a panel dataset of Dutch dairy farms over the period 2003–2013, and find that most farms under‐invest in capital assets during the study period. Although the number of farms that had over‐invested in capital assets is relatively small, these farms account for the biggest share of total investment in capital assets. The probit results show that liquidity, agricultural support payments, age, land tenure and standard output size are important variables explaining the likelihood of over‐and under‐investment.     

Are short rotation coppices an economically interesting form of land use? A real options analysis

Short rotation coppice (SRC) is intensively discussed as being an economical and ecological advantageous alternative to traditional agricultural land use. In various countries, farmers have been encouraged through incentives to cultivate SRC. Nevertheless, they often do not switch from conventional land use to SRC, even if SRC is relatively beneficial according to the net present value (NPV) rule. Therefore, farmers do not follow the classical investment theory. A relatively new theory is the real options approach (ROA). The ROA takes further aspects like irreversibility of the investment costs, flexibility regarding investment timing, and uncertainty of the investment returns into account, which the NPV rule ignores. In the case of SRC, investment (conversion) triggers when a farmer should switch to SRC following the ROA can be higher than those following the NPV rule. As it is often the case in real options applications, decision makers’ possibility to disinvest in general and farmers’ possibility to reconvert, in particular within the useful lifetime of SRC, is not considered. We build a model to calculate the conversion triggers for switching from annual crop production to SRC following the ROA. We consider the opportunity to reconvert the land and evaluate the respective effects on the conversion triggers according to the ROA. Furthermore, we analyze the effect of a former governmental incentive, in terms of an investment subsidy, on the conversion triggers of both theories. Our calculations show that following the ROA, a farmer should change land use to SRC more slowly than when following the NPV rule. Furthermore, neglecting the reconversion possibility would cause considerable bias amongst the results. The consideration of investment subsidies diminishes the conversion triggers of both theories. We conclude that the ROA can at least partially explain farmers’ inertia of converting to SRC.     

Risk aversion and land allocation between annual and perennial crops in semisubsistence farming: a stochastic optimization approach

This article analyzes the effect of production uncertainty on farmland allocation decisions between perennial and annual crops, focusing on a representative farmer's attitude toward risk. A dynamic stochastic optimization model that considers net planting—the difference between new plantings and removals of perennial crops that achieve full production cycle—is used. The effect of uncertainty on the representative farmer's decisions to increase or decrease perennial crops’ acreage, on the optimal path, is examined. Our results reveal that the response of optimal path of net planting to uncertainty related to perennial crop production is highly affected by the farmer's attitude toward risk. A risk‐averse or a low‐risk loving farmer tends to reduce land allocation to perennial crops under uncertainty, while a high‐risk loving farmer will do exactly the opposite. Also, due to disutility of farming, the farmer tends to reduce land allocation to perennial crops when prices are high enough for him to attain a desired income level expectation. One implication of this research is the need for mechanization—in sub‐Saharan countries in particular—that increases per‐acreage yield and output in semisubsistence agriculture.     

农户向家庭农场流转土地的续约意愿及影响因素研究

当前,农地流转期限普遍较短、流转合同不规范、合同违约率高等问题导致家庭农场土地经营权不稳定,严重抑制了家庭农场主对流入土地的长期投入。因此,如何引导农户向家庭农场长期稳定地流转土地,成为推动家庭农场可持续发展的关键所在。本文基于湖南省498家农户土地流转数据,运用计划行为理论和结构方程模型分析了农户向家庭农场流转土地的续约意愿及其影响因素。研究结果表明:①在农户向家庭农场流转土地的续约意愿模型中,行为态度是主要影响因素,主观行为规范和知觉行为控制也是重要影响因素;②在农户行为态度方面,农户对土地流转预期收益越有信心,或农户对家庭农场上一轮土地流转行为越满意,在此基础上构建起的行为态度越能促进农户土地流转续约意愿的形成;③在主观行为规范方面,当农户感知到来自周围的人特别是亲人对农户续约的支持态度越强烈,在此基础上构建的主观行为规范越能促进农户土地流转续约意愿的形成;④在知觉行为控制方面,农户对农户禀赋和环境禀赋两方面的感知会影响农户土地流转续约意愿的形成,其中户主工作性质和上一轮流转期限影响最大。     

不同兼业程度农户耕地利用行为及其效率研究——基于甘肃、青海两省部分市县的实证分析

运用农户模型构建兼业对耕地利用行为及其效率的分析框架,在分离性成立的前提下,以农户调研数据为基础,利用分组比较、数据包络等方法分析不同兼业类型农户之间的耕地利用行为和效率的差异。研究结果表明:兼业类型对农户耕地利用方式和行为选择有显著的影响,不同类型农户的投入、管理行为和土地规模存在较大差异。总体来说,兼业农户的资本投入、劳动投入等高于纯农户,在兼业户中兼业户Ⅱ高于兼业户Ⅰ;不同的耕地利用行为又导致了耕地利用效率的差异,在分离性成立的条件下,数据包络分析计算出的技术效率表现为纯农户大于兼业户Ⅰ,且两者均大于兼业户Ⅱ。     

Fragmented Territories: Incomplete Enclosures and Agrarian Change on the Agricultural Frontier of Samlaut District,North‐West Cambodia

In Cambodia, the interactions between large‐scale land investment and land titling gathered particular momentum in 2012–13, when the government initiated an unprecedented upland land titling programme in an attempt to address land tenure insecurity where large‐scale land investment overlaps with land appropriated by peasants. This paper is based on a spatially explicit ethnography of land rights conducted in the Samlaut district of north‐west Cambodia – a former Khmer Rouge resistance stronghold – in a context where the enclosures are both incomplete and entangled with post‐war, socially embedded land tenure systems. We discuss how this new pattern of fragmentation affects the prevailing dynamics of agrarian change. We argue that it has introduced new forms of exclusion and a generalized perception of land tenure uncertainty that is managed by peasants through the actualization of hybrid land tenure arrangements borrowing from state rules and local consensus. In contrast with common expectations about land formalization, the process reinforces the patterns of social differentiation initiated by land rent capture practices of early migrants and pushes more vulnerable peasants into seeking wage labour and resorting to job migration.     

A model of entry–exit decisions and capacity choice under demand uncertainty

Many investment decisions of agribusiness firms, such as when to invest in an emerging market or whether to expand the capacity of the firm, involve irreversible investment and uncertainty about demand, cost or competition. This paper uses an option‐value model to examine the factors affecting an agribusiness firm's decision whether and how much to invest in an emerging market under demand uncertainty. Demand uncertainty and irreversibility of investment make investment less desirable than the net present value (NPV) rule indicates. The inactive firm is more reluctant to enter the market when it takes into account demand uncertainty because it preserves the opportunity of making a better investment later. The active firm is more reluctant to abandon the investment because there is an option value of keeping the operation alive. There is a greater distance between the entry and exit thresholds under the option‐value approach than under the NPV rule due to demand uncertainty. The results have implications for agribusiness decision‐making.     

The factors influencing the profitability of leased land on dairy farms in Ireland

The Republic of Ireland possesses a land market that is constrained by minimal sales each year, less than 1%. In an effort to capitalise on milk quota abolition and to increase dairy production, a suite of tax incentives has recently been introduced in the Republic of Ireland to encourage land mobility and long-term leasing among Irish dairy farmers. Using Irish Farm Accountancy Database Network (FADN) data from 2011–2017 to examine this, a Heckman sample selection model explores two aspects; (i) the factors that influence a farmer’s decision to rent, or continue renting, land and (ii) the profitability of dairy farmers renting in land. We find self-selection into the rental market is driven by farm traits that include a high level of hired labour, the presence of a successor, intensive farming practices and dairy discussion group membership. The results show that rental agreements assist farms in achieving economies of scale. The findings provide evidence to support government intervention such as tax incentives for renting out land and knowledge sharing discussion groups.     

Effects of subsidies in Russian dairy farming

This study develops a microeconometric model of specialized dairy farms in the Moscow region using panel data over the period 1995–2001. The model is used to analyze the role of subsidies on profit as well as input and output allocation. Theoretical conditions for short‐term profit maximization are not rejected by the data. Differences between farms allow for a fixed‐effect specification. The dairy producers in the region demonstrate a low responsiveness to market signals, but technology change becomes important. Labor, land, and livestock had low shadow prices. Although subsidies have a distorting effect on the input–output mix, this study shows they relieve the credit constraints on dairy farms and have an important positive influence on farm profit.     

Productivity and Producer Welfare in the Presence of Production Risk

Production risk is an inherent characteristic of agriculture and changes in production risk will affect the welfare of risk‐averse producers. Using standard concepts from the literature on uncertainty, we introduce a welfare measure which comprises total factor productivity (TFP), production risk and farmer risk preferences, and which reflects the impact on producer welfare of changes in production technology. An empirical application is carried out using data from a sample of Spanish dairy farms which shows how the positive impact of increases in TFP on welfare can be offset by increases in the risk premium (‘cost of risk’) to the point where welfare may decrease.     

Optimal farm size in an uncertain land market: the case of Kyrgyz Republic

This article applies a real options model to the problem of land development. Making use of the 1998–2001 Kyrgyz Household Budget Survey, we show that when the hypothesis of decreasing return to scale holds, the relation between the threshold value of revenue per hectare and the amount of land cultivated is positive. In addition, the relation between the threshold and the amount of land owned is positive in the case of continuous supply of land and negative when there is discontinuous supply of land. The direct consequence is that, in the first case, smaller farms will be more willing to rent land and exercise the option where, in the second case, larger farms will exercise first. The results suggest three main conclusions: (i) the combination of uncertainty and irreversibility is an important factor in land development decisions, (ii) farmer behavior is consistent with the continuous profit maximization model, and (iii) farming unit revenue tends to be positively related to farm size, once uncertainty is properly accounted for.     

Location and uptake: integrated household and GIS analysis of technology adoption and land use, with application to smallholder dairy farms in Kenya

CIS‐derived measures of location and space have increasingly been used in models of land use and ecology. However, they have made few inroads into the literature on technology adoption in developing countries, which continues to rely mainly on survey‐derived information. Location, with all its dimensions of market access, demographics and agro‐climate, nevertheless remains key to understanding potential for technology use. The measures of location typically used in the adoption literature, such as locational dummy variables that proxy a range of locational factors, now appear relatively crude given the increased availability of more explicit GIs‐derived measures. This paper attempts to demonstrate the usefulness of integrating CIS‐measures into analysis of technology uptake, for better differentiating and understanding locational effects. A set of GIs‐derived measures of market access and agro‐climate are included in a standard household model of technology uptake, applied to smallholder dairy farms in Kenya, using a sample of 3330 geo‐referenced farm households. The three technologies examined are keeping of dairy cattle, planting of specialised fodder, and use of concentrate feed. Logit estimations are conducted that significantly differentiate effects of individual household characteristics from those related to location. The predicted values of the locational variables are then used to make spatial predictions of technology potential. Comparisons are made with estimations based only on survey data, which demonstrate that while overall explanatory power may not improve with CIS‐derived variables, the latter yield more practical interpretations, which is further demonstrated through predictions of technology uptake change with a shift in infrastructure policy. Although requiring large geo‐referenced data sets and high resolution GIS layers, the methodology demonstrates the potential to better unravel the multiple effects of location on farmer decisions on technology and land use.     

Financing Constraints and Agricultural Investment: Effects of the Irish Financial Crisis

This paper considers the role of financing constraints in agricultural investment since the recent financial crisis. Using Irish micro data over the period 1997–2010, we estimate the Q model of investment and test for financing constraints using a measure of internal finance dependence. Our econometric method controls for censoring, heterogeneity and endogeneity. We find that financing constraints are binding and the impact of constraints becomes much more acute following the financial crisis. Constraints are found to be well above pre‐crisis levels and especially elevated in 2007, 2008 and 2009. The effects are greatest for medium‐sized farms and farms in the dairy sector.     

Property rights, production technology, and deforestation: cocoa in Cameroon

In this article, we use a vintage‐capital model with risk of eviction to assess cocoa farmers' response to changes in their tenure security and to the introduction of a new, faster‐maturing cocoa variety. The model is calibrated with data from Cameroon in calendar year 2000, and then used to simulate the effects of institutional and technical change on farmer welfare and deforestation rates. Our findings can be summarized in three points. First, improved tenure security over cocoa fields increases farmers' consumption and welfare, but at the expense of more deforestation. Second, the introduction of new cocoa varieties with faster maturity and higher input response also unambiguously raises farmers' consumption and welfare. Doing so increases deforestation under insecure land tenure, but slows down deforestation under secure land tenure. Third, when introducing the two innovations together (more security and also new varieties), there is both an increase in welfare and a decline in deforestation. In sum, the availability of new cocoa cultivars calls for stronger tenure security, to accommodate investment in the new technology without increasing deforestation.     

Farm‐specific Adjustment Costs in Dutch Pig Farming

This paper develops a dynamic model of investment under rational expectations, assuming farm‐specific production technologies and adjustment cost structures. The model distinguishes regimes of negative, zero and positive investments and maintains that it is optimal for a farmer not to invest for a range of shadow prices, depending on thresholds for positive and negative investments. The model is applied to a rotating sample of Dutch pig farms over the period 1980–1996. Farm‐specific parameters of the adjustment cost function and production technology are obtained using Generalised Maximum Entropy estimation. Cluster analysis using the farm‐specific adjustment cost parameters indicates that five groups of farms with distinct adjustment cost structures can be identified. A tobit regression analysis is used to explain the impact of different socio‐economic factors on the size of the threshold between positive and negative investments.     

A Real Options Approach for the Investment Decisions of a Farm‐Based Anaerobic Digester

The profitability of anaerobic digesters (ADs) for Ontario dairy farmers are examined using real options under current and proposed government pricing policies and investment uncertainty. In the case of a renewable energy initiative such as an AD with large sunk costs and volatile returns, the value of deferring investment may be significant enough to offset the returns suggested by the net present value (NPV) approach. For a 150 cow herd, net revenues should be approximately $1.1 million before the AD is installed using the real options approach as compared to $0.5 million with the NPV approach. An AD is close to generating a positive NPV for a 600 cow herd if for either a 1% increase in the electrical price or decrease in the cost. However, farmers need not invest today and there is a value to delaying this decision from potential improvements in the technology that increase the efficiency and/or decrease operating costs of the AD. The real options analysis indicates that this option to delay investment has a value of approximately $300,000 for a typical Ontario dairy farm. Thus, either significant grant funding or higher feed‐in‐tariff rates are required to induce the increased adoption of AD technology in Ontario today even for the largest of dairy farms. Considering the probability of government support potentially ending, increases the value of investing today but a significant option value to defer still exists.     

State‐contingent analysis of farmers’ response to weather variability: irrigated dairy farming in the Murray Valley,Australia

The agricultural sector is commonly regarded as one of the most vulnerable to climate change. Current understanding of the impact of climate change on this sector relies on the underlying assumptions about farmers’ possible responses to weather variability, including changes in crop choice, input combinations and land management practices. Many previous analyses rely on the implicit (and restrictive) assumption that farmers operate under a fixed technology set across different states of nature. This assumption, represented through stochastic production or profit functions, is commonly made but seldom tested and may understate farmers’ responses to climate change if state‐contingent production technologies are, in reality, more flexible. The potential for farmers to adapt production technologies in response to unforeseen events is at the core of the state‐contingent approach. Advanced in Chambers and Quiggin (2000), the theory contends that producers can manage uncertainty through the allocation of productive inputs to different states of nature. In this article, we test the assumption that farmers’ observed behaviour is consistent with the state‐contingent production theory using farm‐level data from Australia. More precisely, we estimate the milk production technology for a sample of irrigated dairy farms from the southern Murray–Darling Basin over the period from 2006–2007 to 2009–2010.     

集体林权配套改革非农就业地理距离与农户林业投入行为——基于9省18县面板数据的验证

基于9省18县市2009~2013年1452户农户数据,运用面板数据随机效应模型,论证了非农就业地理距离,集体林权配套改革对于农户林业投入行为会产生的影响。基于研究得出结论:非农就业的地理距离越远,家庭外出务工指数越高,对家庭林业投入产生的负向作用越大;集体林权配套改革中,林权贷款以及林地流转对农户林业投入有显著正向影响;此外,农户林地面积、所在村到县城距离、是否为山区、是否获得林权贷款以及是否参与林地流转都对农户林业投入有显著影响。因此,提出充分利用当地林业资源推动农户本地非农就业以及推动林地流转与林权贷款等配套改革措施的政策建议。     

Exploring Farm Investment Behaviour in Transition: The Case of Russian Agriculture

This paper analyses the investment behaviour of Russian farms during the period of economic stabilisation that followed Russia’s financial crisis of 1998, and is the first to apply the error‐correction investment model to describe farms’ investment behaviour in the transitional context. Additionally, the paper employs the error‐correction and the adjustment‐cost model to test for differences in the investment behaviour between various farm categories. The results show that in general Russian farms exhibited an error‐correcting behaviour in the period under investigation. From 1999 to 2005 the output–capital gap was closed by an average rate of 10% per year. Estimates of the adjustment‐cost model show that Russian farm investments are very sensitive to the sales–capital ratio, suggesting that Russian farms exhibit increasing returns to scale and positive expectations about future revenues. Yet, such farm characteristics as ownership structure, access to input markets and also regional specifics were found to be decisive for farm investment not only in the short but long term too. Finally, the results show that the adjustment‐cost model is adequate for the evaluation of differences in short‐term investment behaviour, whereas it is noticeably less powerful for investigating differences in the farms’ long‐term investment behaviour.     

The impact of decoupled payments on U.S. cropland values

An extensive literature has shown that various farm programs may influence the value of farmland, but other studies have not examined the cropland price effects of direct, or decoupled, payments separate from countercyclical payments. This study uses nationally representative confidential field‐level panel data with farmer‐reported per‐acre land values. We analyze the impact of decoupled and other farm program payments on farmland values. Using a fixed effects model and controlling for various factors that influence farmland values, we find that an additional dollar of decoupled payments has a large and statistically significant impact on farmland values of about $18 per acre. These results are comparable with similar studies undertaken in Europe.