Non‐market valuation: usage and impacts in environmental policy and management in Australia

An extensive literature exists on environmental nonmarket valuation research. It appears that results from these studies should be useful inputs to decision‐making about environmental policy or management. Here, we investigate the extent to which this occurs in practice in Australian environmental management bodies. Nonmarket valuation experts were surveyed about their studies that they believed to have influenced policy. Then, decision‐makers in environmental bodies were interviewed about the level of influence nonmarket valuation has had on their decisions. We find that researchers' perceptions of the influence that nonmarket valuation has on decision‐making are overly optimistic. Interviews with decision‐makers suggest that nonmarket valuation is little used in decision‐making. Indeed, the majority of them are unfamiliar with nonmarket valuation techniques. Nevertheless, once the concept was explained to them, many decision‐makers believed it could benefit environmental policy. Researchers' perceptions of the reasons for low usage of nonmarket valuation are largely inaccurate. We suggest a range of strategies that economists can use to promote the use of nonmarket valuation in environmental policy and management decisions, including ways to improve communication and engagement with decision‐makers, and strategies to increase the capacity for decision‐makers to use nonmarket valuation results.     

Divergent Environmental Regulations and Trade Liberalization

The market and nonmarket consequences of environmental regulations and of trade liberalization under different regulatory regimes are explored in the context of the NAFTA through simulation modeling of the North American sheep and lamb markets. Producers are able to shift much of the cost of regulation to domestic and foreign consumers and thus gain from regulation. In the cases investigated, nonmarket effects are unlikely to reverse the sign of market gains or losses, and "level playing field" regulations may or may not be preferred.     

Marketing Channel Choice and Marketing Efficiency Assessment in Agribusiness

In agribusiness, profitability critically depends on the choice of proper marketing channels. This article studies the factors influencing marketing channel choices of vegetable farmers. Vegetable farmers have generally 3 choices to sell their produce, which are formal and informal market participation vis-à-vis nonmarket participation. Ten independent variables are considered for the study and a multinomial logistic regression model is used for the analysis. The study finds 4 major variables that can influence farmers’ decision to shift from nonmarket participation to informal or formal market participation. The article further identifies 4 microlevel marketing channels and assesses their efficiency.     

The Environmental Impact of European Farming: How Legitimate Are Agri-Environmental Payments?

Offering agri-environmental payments to address the various positive and negative environmental nonmarket effects of European Union agriculture might be an efficient way of dealing with market imperfections. However, the complex interaction between farming practices and agri-environmental effects makes it difficult to assess what level of payments is justified under World Trade Organization's Green Box provisions. In reviewing the literature on positive and negative externalities of European farming on the environment, we find evidence to suggest that paying for agri-environmental improvements may be appropriate under the Green Box provisions, even if the payments have a positive production effect.     

Valuation on the Frontier: Calibrating Actual and Hypothetical Statements of Value

The lack of robust evidence showing that hypothetical behavior directly maps into real actions remains a major concern for proponents of stated preference nonmarket valuation techniques. This article explores a new statistical approach to link actual and hypothetical statements. Using willingness-to-pay field data on individual bids from sealed-bid auctions for a $350 baseball card, our results are quite promising. Estimating a stochastic frontier regression model that makes use of data that any contingent valuation survey would obtain, we derive a bid function that is not statistically different from the bid function obtained from subjects in an actual auction. If other data can be calibrated similarly, this method holds significant promise since an appropriate calibration scheme, ex ante or ex post , can be invaluable to the policy maker that desires more accurate estimates of use and nonuse values for nonmarket goods and services.     

Farmers' Subjective Valuation of Subsistence Crops: The Case of Traditional Maize in Mexico

Shadow prices guide farmers' resource allocations, but for subsistence farmers who grow traditional crops they may bear little relationship with market prices. We theoretically derive shadow prices for a subsistence crop with nonmarket value, then estimate shadow prices of maize using data from a nationally representative survey of rural households in Mexico. Shadow prices are significantly higher than market prices for traditional but not improved maize varieties. They are particularly high in the indigenous areas of southern and southeastern Mexico, indicating large  de facto  incentives to maintain traditional varieties there.     

From organized to disorganized capitalism? Market versus nonmarket coordination in Spain's dairy chain

Conventional wisdom has it that the food economy has transitioned from organized to disorganized capitalism. An era of extensive state intervention between around 1930 and 1980 would have been followed by an era of deregulation and increasing coordination through markets after around 1980. This article uses the case of Spain's dairy chain to propose an alternative view. In the case under study, there certainly were elements of state‐coordinated capitalism between 1952 and 1986, as well as elements of deregulation and liberalization from 1986 onwards. However, the structure of economic coordination involved some combination of market and nonmarket mechanisms all the way through. The organized capitalism of the first period was not really so tightly organized, whereas much of its later “disorganization” was in fact a transition towards a different mode of “organization”: one in which the control of nonmarket coordination shifted from political to corporate hierarchies.     

Quantifying the multifunctionality of fjord and mountain agriculture by means of sociocultural and economic valuation of ecosystem services

The objective of this study was to define the value of the main market and nonmarket functions of fjord and mountain agroecosystems in Nordic countries by means of the ecosystem services framework. First, we used qualitative methods (interviews of farmers and other stakeholders in the area of study) to identify sociocultural perceptions of multifunctional agriculture. Next, we used survey-based stated-preference methods to rank and value in economic terms the most important functions (corresponding to the four types of ecosystem services) according to the local (residents of the study area) and the general (residents of a nearby area) populations. The sociocultural perceptions of multifunctionality among local stakeholders were similar, but differences in the relative importance of the functions reflected particular interests (agriculture compared with tourism). Both the local and the general populations attached great importance to the production and availability of quality foods. The general population showed very homogeneous preferences among ecosystem services, but local people rated them very differently. Local people ranked a more agricultural landscape very high. The total economic value of fjord and mountain agroecosystem was 850 € per person per year. The willingness to pay for the provision of ecosystem services under a policy scenario of further development of multifunctional agriculture clearly exceeded the current level of public support. The welfare loss that society would experience in a scenario of further abandonment of agriculture was even greater. We discuss the establishment of payments for ecosystem services for addressing the undersupply of nonmarket functions of agriculture.     

Allocation of time for meal preparation in a transition economy

The decision of how much time to allocate to meal preparation is an endogenous variable to be determined by the opportunity cost of time, preference between market and nonmarket goods and leisure, and household production technology. Using consumer survey data collected in Bulgaria in 1997, this study measured the effect of household income on the amount of time allocated to meal preparation after controlling the effects of demographic, socio‐economic and other characteristics of households. We used the first‐hurdle dominance model to distinguish non‐meal preparers from meal preparers. Since the overall pattern of allocating time between market work, household activity and leisure in a particular country is likely to be conditional on the stage of its economic development, this study presents a unique opportunity to assess the rationality of the time allocation behavior of consumers in an economy in transition from a centrally‐planned to a market‐oriented system. Results showed that household income did not influence the decision of how much time to allocate to meal preparation. While the insignificant linkage between income and time allocation to meal preparation could be due to the differences in preference and household production technology. It can be also attributed to the legacy of four decades of a central‐planning system and underdeveloped food manufacturing and service industries. ©2000 Elsevier Science B.V. All rights reserved.     

Managing groundwater in a mining region: an opportunity to compare best‐worst and referendum data

In nonmarket valuation, practitioners must choose a format for the valuation questions. A common approach in discrete choice experiments is the ‘pick‐one’ format, often with two alternative policy proposals and a status quo from which the respondent selects. Other proposed formats, include best‐worst elicitation, where respondents are asked to indicate their most and least favoured alternative from a set. Although best‐worst formats can offer efficiency in data collection, they can also lead to responses that are difficult to reconcile with neoclassical welfare estimation. The current article explores methodological issues surrounding the use of pick‐one versus best‐worst data for nonmarket valuation, focusing on framing and status quo effects that may occur within three‐alternative discrete choice experiments. We illustrate these issues using a case study of surplus groundwater use from Western Australian mining. Results identify concerns that may render best‐worst data unsuitable for welfare estimation, including a prevalence of serial choices in which the status quo is universally chosen as the worst alternative, rendering part of the choice process deterministic. Asymmetry of preferences and serial choices can be obscured when models are estimated using ‘naively’ pooled best‐worst data. Results suggest that caution is warranted when using best‐worst data for valuation, even when pooled results appear satisfactory.     

Selfishness,altruism, and inequality aversion toward consumers and farmers

One hypothesis explaining the persistence of farm programs in the United States is the public's altruism toward farmers. We utilize economic experiments to identify the motivations of selfishness, altruism, and inequality aversion toward anonymous members of the general population and toward different types of farmers. We find that people are generally less selfish and more altruistic toward small farmers than other members of the population. We also find that (i) people are more averse to inequality in a market‐like setting as compared to a nonmarket setting, (ii) there is significant heterogeneity across people in terms of other‐regarding preferences, and (iii) experimental choices accurately predict preferences for “real‐world” income re‐distribution policies that entail giving up one's own money to benefit farmers, but fail to predict preferences for policies that redistribute others’ incomes.     

Integration in the Norwegian pulpwood market: domestic prices versus external trade

Pulpwood from Norway spruce (Picea abies (L.) Karst) traded domestically in Norway, imported to Norway, or exported from Norway is investigated with respect to commodity homogeneity and market integration. The prices imply that pulpwood from Norway spruce is a homogenous commodity, and the three price series are analyzed with respect to market integration. Using the cointegration estimator two cointegrating vectors are found within the system, and the weak Law of One Price can be imposed on domestic- and import prices. Imports are weakly exogenous to the two other variables, indicating that international pulpwood prices leads the domestic market.     

Cross country maize market linkages in Africa: integration and price transmission across local and global markets

In order to study short‐run price shock propagation, we model twenty seven Sub‐Saharan Africa (SSA) domestic maize markets within a Global Vector Autoregression framework. The main purpose is to fully embed multilateral trade flows as a way to better structure local price transmission dynamics and interdependencies, and get a more comprehensive picture of food price shocks propagation. We found significant between‐country market contagion and prompt regional price shock propagation when trade connection exists. Yet, the integration of SSA domestic maize markets within the continent and with global markets remains generally weak. Furthermore, under regular market conditions, most local price series appear to be more responsive to regional neighbors than to global shocks.     

Pushing subjects beyond rationality with more alternatives in experimental auctions

The use of experimental economics in valuation of market and nonmarket goods has grown over the past few years. The ability of experimental auctions (EUs) to reveal consumer preferences and their malleability has been praised in previous literature. Because of the high cost of conducting EUs, researchers usually present multiple products to participants, determining how many products to present has no clear guideline. The results of this study show that subjects do not value products the same way across different number of options offered to them. The main indicator is the increasing variance in responses for a benchmark product when more products are available. With an econometric specification allowing for heteroscedasticity as a function of the number of product offerings, the results indicate that the number of goods available for bidding is not to be taken as a trivial task in experimental design for value elicitation.     

Evaluating the TRQ Import Licensing Mechanisms in the Canadian Chicken Industry

Tariff rate quotas (TRQs) were introduced at the end of the Uruguay Round to support market access following the tariffication of nontariff barriers to trade in agriculture. The allocation of import licenses under the TRQ regime in the Canadian chicken industry is currently made according to discretionary criteria. The welfare properties of this import licensing scheme are evaluated in comparison with a less discretionary allocation method such as first-come, first-served (FCFS) using a numerical model. The analysis also provides a welfare evaluation of both methods as the current minimum access commitment for chicken imports is expanded. It is found that total welfare in the Canadian chicken industry is likely to be higher under a TRQ administration method based on nondiscretionary criteria such as firstcome, first-served. However, particular assumptions about the chicken producers'response to increased foreign competition can reverse this finding. Moreover the welfare differences between the two license administration schemes are less important when market access to imports is substantial.     

Assessing Global Computable General Equilibrium Model Validity Using Agricultural Price Volatility

Computable General Equilibrium (CGE) models are commonly used for global agricultural market analysis. Concerns are sometimes raised, however, about the quality of their output since key parameters may not be econometrically estimated and little emphasis is generally given to model assessment. This article addresses the latter issue by developing an approach to validating CGE models based on the ability to reproduce observed price volatility in agricultural markets. We show how patterns in the deviations between model predictions and validation criteria can be used to identify the weak points of a model and guide development of improved specifications with firmer empirical foundations.     

International market integration and demand: An analysis of the Norwegian and Danish herring market

This article provides a method where pre-tests for international market integration are used to identify market structures before estimating demand systems. The method is applied to the analysis of the European herring market. A Vector Auto Regressive model in Error Correction form is used to identify co-integration vectors between price series and, based on this, to test for the Law of One Price. The Law of One Price is in force between the landing markets for herring in the two largest global supplier countries, Norway and Denmark. Therefore, an inverse demand function is estimated for the combined Norwegian and Danish market. The results are used in the interpretation of the significant increase in the prices of herring on the Danish ex-vessel market in 2001, given the stability of the Danish market. The implication is that even though Denmark did not export to the main Norwegian export markets in the former Soviet Union and Eastern Europe, the Danish landing price is influenced by the situation there.     

基于关联规则的耕地质量评价数据检错方法研究 ——以广州市为例

研究目的:从数据项之间关联关系的角度切入,探索一种新的耕地数据质量检错方法,以期更有效地提高耕地数据库的质量。研究方法:通过数据挖掘算法寻找耕地数据库中的关联关系,计算这些关联关系的发生频率,从中提取低频发生的关联关系作为检测规则(关联规则),最后利用这些关联规则识别耕地数据库中的错误记录(包含或符合关联规则的耕地数据记录为错误记录)。研究结果:(1)该方法有能力识别耕地数据库中的错误,可以做到有效提高耕地参评数据库的正确性;(2)经计算,与耕地领域现有的传统数据检错方法相比,同等条件下该方法可将检错效率提高11倍,甚至更多;(3)该方法可以针对不同的数据库迅速挖掘关联规则,灵活地应对不同的耕地数据库和层出不穷的错误类型。研究结论:基于关联规则的耕地数据库质量检测方法高效、便捷,为耕地领域现有的数据检错方法开辟了一个新的角度和思路,可以在地学领域广泛应用。     

当前矿产资源市场形势分析

当前,国际矿产市场呈现＂疲软＂状态：全球基本金属供应过剩,产品库存高位运行;大宗矿产品价格虽有反弹,但仍属于＂箱体震荡＂;矿业资本大幅缩水,矿企融资困难。国内矿业市场继续＂降温＂：主要矿产品生产规模继续扩张,进口量继续增长;矿业投资虽然继续增长,但是呈现趋冷迹象;矿产品价格下跌,反弹乏力;新材料矿产＂苦乐不均＂。受全球资源垄断格局加剧、国外掌握大宗矿产品定价话语权、地缘政治博弈与运输通道安全及发展中国家的资源竞争等因素影响,我国利用境外资源难度和风险加大。对策建议：抓住机遇,积极推动资源领域国际合作;参与全球资源市场治理及非洲等地资源开发;推进重要战略资源储备体系建设。     

重瓣矮牵牛的组织培养

重瓣矮牵牛色泽艳丽,观赏性强,是重要的彩化花卉品种,但由于其不能正常结实,繁殖成活率低,扦插也不易成活,所以采用组织培养的方法进行繁殖;利用基本培养基MS、细胞分裂素(6-BA)、生长素IBA,以植株叶片为材料,在一定条件下采用不同的浓度配比,观察植物叶片经过消毒—发芽—生根—开花的生长过程,选出最佳的植物繁殖配比浓度;在短期达到快速繁殖的目的。