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This study analyzes the factors which affect the alfalfa cultivation acreage in China and estimates the development of alfalfa planting by the supply model.

Based on the characteristics and actual conditions of alfalfa cultivation in China, a naïve empirical model was created to analyze the impact of various influencing factors on the cultivation acreage of alfalfa.

The analysis of influential factors shows that China's alfalfa planting conforms to naïve price behavior. The prices of alfalfa and per capita arable land occupancy have a positive effect on the cultivation acreage, while the price of competitive crops and transportation costs have a negative effect on the production of alfalfa. Lastly, the 2012 alfalfa subsidy policy has a significant negative impact on alfalfa cultivation acreage.

Due to the limited research on alfalfa supply in China, there is a lack of available research data and statistical data. A large number of data in this study are mainly indirect data derived and calculated from other industrial data. The measurement results may not be fully accurate.

This study represents the first empirical analysis of the characteristics of the factors influencing alfalfa cultivation acreage in China. The secondary data were used to analyze the influence of various control variables on the cultivation acreage of alfalfa, which is different from existing research.

Purpose – The objective of this chapter is to examine and provide new perspectives on the contributions of public and private R&D to biotech crop improvement.

Methodology/approach – The chapter examines a set of topics that have affected the way that research is undertaken on plant germplasm improvement and how it has changed with the genetically modified (GM) trait revolution.

Findings – Although the basic science providing the foundations for GM crops was undertaken in the public sector, GM traits and GM crop varieties have been developed almost exclusively by the private sector. The biotech events leading to GM traits are currently being developed largely by five companies – all having ties to both the chemical and the seed industries. The GM crop revolution started in North American in 1996 and has spread slowly to the largest developing countries that have large agricultural sectors, including Argentina, China, Brazil, and India, but not to Europe or Japan.

Practical implication – To shed new light on the economic reasons for private sector dominance in GM crop varietal development in selected crops but not in others.

Social implication – Shows how GM traits have contributed to technical change and declining real food prices.

While genetically modified (GM) crops have provided tremendous agricultural productivity gains, many consumers oppose GM products and maintain they are unsafe. We use the case of GM sugar beets and their adoption by the US producers to examine the implications of GM technology on food security. A partial equilibrium framework is used to examine the implications of GM technology on food security. This analysis provides a unique opportunity to examine the impact of GM adoption in one product (sugar beets) relative to non-GM adoption in a substitute product (sugarcane). This analysis examines the potential gains to food security through the adoption of biotechnology versus consumer fear of GM technology. Research and development (R&D) has potential implications not only through its impact on supply, but also on demand as well. This study shows that demand impacts can negate the supply-induced food security gains of R&D. Regulations such as mandatory labeling requirements can impact this outcome.

The purpose of this paper is to empirically examine the financial outcomes from forage production and RI-PRF insurance interval for two locations in Nebraska. Both locations provide historical forage production and precipitation data, allowing the authors to examine the relation between RI-PRF net income and forage production.

The authors focus on evaluating the producer net income and risk (measured as variance of net income) by examining the relation between farm precipitation and production and comparing multiple insurance intervals to no insurance. Each insurance interval will likely have a different relation (basis risk) between observed production and return from insurance and, therefore, a different impact on the variance of net incomes. The impact on variance of net incomes identifies the risk-reducing aspects of RI-PRF insurance intervals. The authors then rank each scenario into four mutually exclusive zones that describe the risk-reducing effectiveness and whether the subsidy is working correctly.

The authors found both risk increasing and decreasing insurance intervals exist at both locations. One insurance scenario (low in BBR) provided the highest net income while increasing risk, suggesting a profit maximizing opportunity. RI-PRF reduces net income risk with intervals insuring during high expected precipitation (growing season); while net income risk increases with intervals insuring low expected precipitation (non-growing season, winter months). The farmer would want to insure during the high expected precipitation months, which coincides with the growing season, since RI-PRF lowers the net income risk. For the government, removing net income risk increasing intervals improves the allocation of government resources.

In this paper, the authors modeled the relation between RI-PRF interval selection using the historical forage production data at two locations in Nebraska. The use of historical forage production data allowed the authors to precisely identify the risk-reducing effectiveness of RI-PRF interval selection.

To illuminate the underlying logic of western Kansas farmers’ decisions to irrigate at unsustainable rates and the state’s regulatory policies and practices that enable depletion of the Ogallala aquifer.

Ethnographic interviewing of 39 western Kansas farmers, state water management personnel, and archival research.

Farmers occupy an ambiguous position as petty capitalists who focus attention on their own farms with seasonal planning horizons, and they hold a view of “good stewardship” that melds economic and noneconomic considerations, and that provides a rationale for unsustainable irrigation practices. The state resolves the contradiction between the finite groundwater resource and ideological commitments to economic growth by devolving responsibility for water management to groundwater users.

While the small sample size is likely to be representative of the larger pool of irrigators, further research with other farmers representative of the region will be necessary to verify findings.

Depletion of the Ogallala aquifer contributes to farm consolidation and community decline, and the ecological costs will leave future farmers and remaining communities without the benefits of groundwater. Western Kansas will likely have to revert to a system of dryland farming.

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.

The products of transgenic technology have captured the attention of enthusiasts and detractors, but transgenics are just one tool of agricultural biotechnology. Other applications enable scientists to understand biodiversity, to track genes through generations in breeding programs, and to move genes among closely related as well as unrelated organisms. These applications all have the potential to lead to substantial productivity gains.

In this chapter we provide an introduction to basic plant genetic concepts, defining molecular markers, transgenic and cisgenic techniques. We briefly summarize the status of commercialized biotechnology applications to agriculture. We consider the likely future commercialization of products like drought tolerant crops, crops designed to improve human nutrition, pharmaceuticals from transgenic plants, biofuels, and crops for environmental remediation. We identify genomic selection as a potentially powerful new technique and conclude with our reflections on the state of agricultural biotechnology.

Research at universities and other public-sector institutions, largely focused on advancing knowledge, has aroused enormous optimism about the promise of these DNA-based technologies. This in turn has led to large private-sector investments on maize, soybean, canola, and cotton, with wide adoption of the research products in about eight countries. Much has been made of the potential of biotechnology to address food needs in the low-income countries, and China, India, and Brazil have large public DNA-based crop variety development efforts. But other lower income developing countries have little capability to use these tools, even the most straightforward marker applications. Ensuring that these and other applications of biotechnology lead to products that are well adapted to local agriculture requires adaptive research capacity that is lacking in the lowest income, most food-insecure nations. We are less optimistic than many others that private research will fund these needs.

The present study investigates the contribution to farm women's empowerment of the ‘young farmers’ programme that has been run by the Greek state since the early 1990s. The ‘young farmers’ programme aims to attract young people (men as well as women) into agriculture in order to renew the aged farming population, providing economic incentives to young people (up to 40 years old) entering farming or to newly established young farmers. The programme is based on Chap. II, article 8, Reg. 1257/99 (and the previous structural regulations) and operates through the Community Support Frameworks implemented by the Ministry of Rural Development and Food. The Ministry also provides a number of supplementary national incentives to young people wishing to become established in agriculture (Law 2520/97).

In this chapter, the title theme of “Disaster by Design” is explored and justified. Even from early times, the Aral Region was subject to alterations of natural conditions due to human intervention, often deliberate and designed. After the final conquest by Russia, the region became a fixed colony as part of the Soviet Union, ripe for exploitation characteristic of the Soviet approach to nature broadly and to stigmatized areas specifically. The Aral region was selected for irrigated cotton and other cultivation even though the consequences for desiccation of the sea, desertification, and salinization were understood. The decision was so calculated that even a cost–benefit analysis was offered to show that the Aral fishery was worth but a fraction of the cotton potential. The destruction of the region was made possible by a Soviet system of central planning and peripheral control. The brief glimmer of hope for the region evidenced during glasnost was the only moment where the Aral's fate was not sealed. The outcome is a model of ecological disaster by design, an environmental injustice, and an indication of the abusive nature of authoritarian power.