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This paper aims to determine the effects of agricultural, recreational and urban variables on Oklahoma land prices.

An econometric model is estimated using price of agricultural land parcels as the dependent variable and independent variables representing agricultural, recreational and urban uses. Recreational variables include county‐level recreational income from Agricultural Census data as well as deer harvest for each county. Urban variables are functions of population and income for each county. The agricultural variables include rainfall as well as crop returns for cropland and cattle prices for pasture.

Agricultural variables are the most important, followed by urban and then recreational variables. Transaction prices are higher than commonly used land‐value survey data. The major recreational variable is deer harvest, which is more important in small tracts. The value of pasture is now greater than cropland. Small tract sizes receive substantial premiums.

Agriculture is still an important part of the Oklahoma economy, so the findings might differ in more densely populated states. As with most econometric models, there are possible biases due to errors in measurement or missing explanatory variables.

The paper provides information that could be used by those wanting to estimate land value or wanting to manage land to increase its value.

The paper differs from previous work in both variables considered and the data used. Also, most previous work has not as directly addressed the issue of the relative importance of agricultural, recreational and urban variables.

Agricultural land loss is a severe issue that Australia faces, along with many other countries. Myriad research studies have discussed the reasons for such land loss, including urban sprawl as the main factor and factor's repercussions. However, there is a knowledge gap in understanding the impact of dwelling type on farming land reduction. Also, there is an application gap, particularly in the local context. The purpose of this study is to discover the effect of differing dwelling types (compact and non-compact) in metropolitan areas with a growing population (such as Craigieburn) toward potentially noticeable agricultural land loss.

This paper aims to fill these research and practice gaps through a case study using a mixed methods approach. A quantitative analysis was conducted of housing types, the types' growth and agricultural land area taken up by those different housing types over 18 years. Thematic analysis of policies, strategies, schemes and codes relevant to the case study enabled a better understanding of practice gaps.

The study revealed a significant loss of agricultural land. Separate housing was found to be the main culprit due to the number of houses and the area the houses require, thus exhibiting the lack of practical guidelines to prevent the houses' overdevelopment. The findings enabled the identification of opportunities for better practice through government intervention and potential industry alterations.

Previous literature has primarily explored the issues associated with urban sprawl and the sprawl's unsustainability. This research paper offers a more targeted insight into one of the key factors leading to urban sprawl: the types of dwellings being constructed.

This study aims to examine farmers' decision to use smartphone agricultural applications (SAAs) and how SAAs adoption impact their land transfer behaviors in terms of the current land transfer-in area (LTA) and the future willingness to renew land transfer-in after it expires (WTR).

This study provides empirical evidence on the relationship between farmers' use of SAAs and land transfer choice, using a field survey data of 752 rural farm households in 2020 from Sichuan province of China. The endogenous switching models are employed to address potential self-selection bias associated with voluntary SAAs use and to quantitatively examine the impacts of SAAs use on land transfer choice.

The empirical results reveal that SAAs significantly improves the probability of transfer-in of more land by 39.10%. We find SAAs use has heterogeneous impacts on land transfer-in choice in the groups of agricultural technology, extension service, marketing and credit. Besides, we also find that SAAs use exerts highly positive and significant impact on farmers with less land area transfer-in. Moreover, SAAs can increase the probability of farmers' willingness to renew the land transfer-in by 30%.

To the best of our knowledge, this study is the first to explore the quantitative relationship between the use of SAAs and farm households' land transfer choice. The findings of this work can provide policy-related insights to help government promote the development of digital applications in the agricultural sector.

The objective of this chapter is to provide an approach to the farmland abandonment problem in Galicia, the Spain’s north-western region. We describe the land use pattern that characterized the traditional agricultural system, and analyze the process of structural adjustment and changes in land use recorded in the last 50 years. The empirical basis is provided mainly by an original elaboration of agricultural census data for the period 1982–2009. The results show that in the last five decades the area devoted to crops and pastures was constrained to a small portion of the territory (just over 20%), while the agro-livestock uses of hill land which were very important up to the mid-twentieth century disappeared. All this led to a remarkable expansion of abandoned land, which currently occupies at least 20% of the regional area. The drivers of this farmland abandonment are diverse and vary from one zone to another. But among them the conditioners derived from the structure of land ownership must be emphasized, coupled with the poor functioning of the land market and leasing. Land abandonment has had a major impact on the dynamics of the agricultural sector, limiting the size of farms and causing an increasing intensification in a small portion of the territory. This has also led to severe environmental problems, especially forest fires. Consequently, improving mobility and land use should be a priority of agricultural and rural development policies in this region.

Economies in East Asia are at different development stages. Economic development has an impact on factor endowments and the intensities, then on the mode of agricultural trade. To examine the trade modes of these seven East Asian countries' agricultural products will give us some hints to understand the question how economic development impacts the changing patterns in comparative advantage (CA) of agricultural products. Therefore, this paper aims to test the question by using a four‐quadrant method.

Trade specialization coefficient is used to analyze the agricultural CA among aggregated agricultural products and two typical kinds of products: labor‐ and land‐intensive agricultural products. Then a four‐quadrant method is applied in this study, where trade specialization of agricultural products consists of 2D: labor‐intensive and land‐intensive. The study intends to test the changing routes of CA of agricultural products under the background of economic development and changing situation of factor endowments.

The analysis result supports that economic development has impact on the trade mode of agricultural products.

The four‐quadrant method is firstly applied to analyze the changing pattern of agricultural products in East Asian countries. This study shows that the changing routes of CA of agricultural products will not limit to only one mode as found by current studies.

The purpose of this study is to measure the effect of land degradation and the environmental changes on agricultural productivity in Somalia, as well as the other factors that affect crop production in Somalia.

Cobb-Douglas production function assumes crop production as a dependent variable and land degradation, labor, capital, fertilizer and climate change as the explanatory variables. In this study time-series data (1962–2017) collected from the Food and Agriculture Organization and World Development Indicators were used. The unit root of the data was examined using Ng-Perron and the Lee-Strazicich methods to explore the unit root property of the breaks. Structural breaks are observed using the Chow test, and the long-run relationship between the variables is examined using Gregory and Hanssen's approach.

This study found that land degradation and climate change have a negative relationship with agriculture production in Somalia. Land degradation leads to the decline in agricultural production as the loss of one hectare of land due the depletion causes agriculture production of Somalia to fall by about five percent. Climate changes and warming of the environment lead to the reduction of agriculture production. One degree Celsius rise in the temperature leads to a three percent decline in agricultural production. Capital contributes immensely to agricultural production as one unit of additional capital raises production by seven percent. The contribution of labor to agricultural production is limited because of land contraction

Land degradation is a significant contributor to the decline of agricultural production. As land degradation continues to worsen, rural poverty increases, which in turn causes the rural migration and the social conflict. The government should develop land improvement programs such as increasing market orientation of the farmers, encourage private sector engagement in agribusiness and establish a regulatory framework of the land uses.

This study examines the structure of the time-series and specifies the break periods to determine when and where significant and sudden changes occurred within land degradation and agricultural production. The study employs advanced econometric methods, namely, Ng-Perron method and the Lee-Strazicich method to test the unit root property of the breaks. It also examines the long-run relationship between the variables using Gregory and Hanssen's approach.

The purpose of this paper is to examine the factors that lead to the controversy within the existing empirical literature on the relationship between land tenure and agricultural investments in China.

This study conducts a meta-regression analysis (MRA) based on 265 samples from 29 selected studies. These studies are collected from different regions and populations; therefore, this study utilizes a random-effects meta-regression model to control between-study heterogeneity.

The empirical results show that the variable “land-related long-term investments” significantly affects the relationship between land tenure and agricultural investments. The variables: “ration land,” “land titling” and “land transfer rights” all have significant effects on this relationship, but at different levels. The study area (e.g. “western China,” “central/inland China,” “two regions contained”), “plot level,” “panel data,” “sample size,” “considered endogeneity” and “off-farm employment” variables all significantly influence the relationship. Additionally, the results show that the relationship is significantly affected by the survey time.

Policymakers should treat the existing research conclusions with caution and pay more attention to defining land tenure. The relationship between land tenure and agricultural investments also depends on regional resource availability. Therefore, land property rights policies should be region-specific in order to successfully encourage agricultural investments.

In this study, the author collectively examines existing empirical studies to investigate whether their inconsistent results are affected by research characteristics. To the author’s knowledge, this is the first study that analyzes land tenure and agricultural investments in China using MRA. Future research should refine the definition of land tenure, the selection of agricultural investment types, the research method and the method of data collection.

The Swedish agricultural landscape has changed dramatically since 1945. Agricultural land has been abandoned and the general trend has been towards less scenic and biological variety. People express a relatively high willingness to pay for preservation of agricultural landscape in contingent valuation surveys and they tend to prefer high degrees of variability. Landscape is shown to be a multidimensional entity with a complex structure of economic characteristics. The complexity makes it unlikely that simple policy solutions are optimal. It is difficult to analyse policy options in this case but much speaks in favour of some differentiated area subsidy for a large fraction of the agricultural land and individual contracts for the most biologically valuable sites.

The purpose of this paper is to analyze the relationship between farm size and agricultural production efficiency from the aspects of output and profit in order to find an optimal farm size that achieves both output and profit efficiency in agricultural production in China.

This study uses the 2012 China Family Panel Studies survey data and employs the stochastic frontier analysis (SFA) models to investigate empirically the relationship between farm size and agricultural production efficiency.

The study finds that there is an inverted-U curve relationship between farm size and output efficiency and a U-shaped curve relationship between farm size and profit efficiency in agricultural production in China. Based on the empirical results, the study estimates that the appropriate farm size is around 10–40 mu and the optimal farm size is around 20–40 mu both in terms of output efficiency and profit efficiency in Chinese agricultural production under the current agricultural technology and land management system.

The findings of this study suggest that appropriate land consolidation will bring more benefits to farmer households and agricultural production efficiency. There are some policy implications. First, governments should give long term and more stable land using rights to farmers through extending the period of land contract and verifying land using rights. Second, governments should encourage transfers of land using rights and promote land consolidation. But the implementation of this policy should consider regional differences and not be used for blindly pursuing increasing land size. Third, land consolidation should be accompanied with the development of specialized agricultural services.

The paper makes two major contributions to the literature. First, the authors use the SFA model to investigate the relationship between land size and agricultural production efficiency. Second, the authors establish two SFA models – the stochastic frontier output analysis model and the stochastic frontier profit analysis model – to estimate the optimal land size to achieve both output and profit efficiency of agricultural production in China.

The purpose of this paper is to provide a review of major historical developments in agricultural finance, with particular emphasis on agricultural credit. It reviews the development of Raiffeisen and related banks that emerged in Germany and Europe throughout the nineteenth century and how the cooperative banking system made its way into the banking system of the USA in the early twentieth century. The paper emphasizes the role of the state in the developing of agricultural credit, especially with respect to farm mortgages, securitization, and bond structures.

This paper presents a historical synthesis of historical literature on agricultural credit.

This paper shows the direct linkage between the developments in Raiffeisen credit cooperatives and the Farm Credit System (FCS) and details the emergence of the land banks, farm credit banks, agricultural bonds and the role of joint-stock banks in agricultural credit policy.

In total, 2016 marks the 100th anniversary of the passing of the 1916 Federal Farm Loan Act which set in motion the USs’ first Government Sponsored Enterprise and catalyzed the formation of the FCS as it operates today to provide credit to farmers and rural communities on a cooperative basis. Although there are a few wonderful books written on certain aspects of the FCS the story of how the FCS was initiated and the many struggles it faced up to the 1933 Act has not been told often enough. This paper tells the story of the evolution of agricultural credit that ultimately led to the formation of the FCS.