{"title":"Fishing or Aquaculture? Chinese Consumers’ Stated Preference for the Growing Environment of Salmon through a Choice Experiment and the Consequentiality Effect","authors":"Qiujie Zheng, J. Shogren","doi":"10.1086/711385","DOIUrl":"https://doi.org/10.1086/711385","url":null,"abstract":"Because of economic development and food safety concerns, an increasing number of middle-class consumers in China are demanding higher-quality food and more environmentally friendly food production methods. In this paper, we design a choice experiment to assess Chinese consumers’ preference for high-quality imported salmon through their willingness to pay (WTP) for various product attributes, especially the production environment attribute. We included a policy consequentiality script at the beginning of the survey and a consequentiality perception check at the end to test the effect of the device on Chinese consumers’ survey responses. The results show that Chinese consumers value the safety certification label of salmon with the highest premium, followed by chilled, wild-caught, and dark red color attributes of salmon. The WTP premiums from the consumers who were provided with the consequentiality script are significantly lower than those from consumers not provided with such a script, and the consequentiality perceptions are also enhanced by the script treatment.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"36 1","pages":"23 - 42"},"PeriodicalIF":2.9,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/711385","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41952605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Accounting for Fleet Heterogeneity in Estimating the Impacts of Large-Scale Fishery Closures","authors":"Maxime Dépalle, O. Thébaud, J. Sanchirico","doi":"10.1086/710514","DOIUrl":"https://doi.org/10.1086/710514","url":null,"abstract":"To date, the empirical literature on spatial closures has focused on specific fleets and/or areas, and relatively less attention has been paid to the evaluation of responses to large-scale spatial restrictions on ocean fishing. Where such restrictions occur, a broad range of fleets may be affected, with diverse response mechanisms determining the redistribution of fishing effort and the associated welfare impacts. We propose a methodological approach to address such situations. Using hypothetical scenarios regarding the closure of the UK exclusive economic zone (EEZ) to a diverse subset of French vessels as an example, we develop a spatial discrete choice model that incorporates the possibility to adjust the resolution of choice sets at the fleet level to account for heterogeneous behavioral patterns across fleets. We show how neglecting fleet diversity in the choice of the spatial resolution of analysis may bias the results of an impact study on large spatial closures.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"35 1","pages":"361 - 378"},"PeriodicalIF":2.9,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/710514","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49127367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of Commercial Fishing Trip Costs Using Sea Sampling Data","authors":"G. DePiper, A. Kitts, D. Jin","doi":"10.1086/710668","DOIUrl":"https://doi.org/10.1086/710668","url":null,"abstract":"When estimating commercial fishing costs, selection bias can impact any model derived from non-census sampling methodologies. In the northeastern United States, commercial fishing operating cost models may suffer from selection bias, as they are often estimated using data collected for biological, rather than economic, purposes. We investigate the effects of sampling bias on trip cost model estimations using weighted/unweighted least squares and Heckman sample selection models. Results suggest that (1) the propensity for a trip to carry an observer is not random with respect to costs and that (2) selection bias exists in the majority of cost models investigated. To gauge the magnitude of selection bias, we compare results of the unweighted least squares and Heckman models. The differences between models can lead to erroneous conclusions at the subfleet level and in estimating trip cost maxima. Results suggest that assessing and correcting for selection bias is necessary when using sampled fishing cost data.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"35 1","pages":"379 - 410"},"PeriodicalIF":2.9,"publicationDate":"2020-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/710668","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43235093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Farmers Markets and Seafood: Where Is It Feasible?","authors":"J. K. O’Hara","doi":"10.1086/710051","DOIUrl":"https://doi.org/10.1086/710051","url":null,"abstract":"National-level empirical research can inform how policy can effectively support direct seafood markets. The US Department of Agriculture maintains a directory of farmers markets that has not been extensively used in direct seafood marketing research. I use this directory data to estimate the probability that farmers markets near commercial fishing ports in the United States offer seafood. The results provide insight into two policy-relevant constraints on direct marketing: (1) geographic limits to seafood sales at farmers markets and (2) accessibility challenges for low-income populations. I find that seafood sales at farmers markets are concentrated within 50 miles of commercial fishing ports and that lower-income people are less likely to have access to seafood at farmers markets. I discuss advances made in collecting data from direct marketing farmers and the potential value in collecting analogous data from direct marketing fishers.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"35 1","pages":"411 - 426"},"PeriodicalIF":2.9,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/710051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48317365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Accounting for Attribute Non-attendance in Three Previously Published Choice Studies of Coastal Resources","authors":"D. Petrolia, Joonghyun Hwang","doi":"10.1086/709442","DOIUrl":"https://doi.org/10.1086/709442","url":null,"abstract":"We revisit three recently published papers that apply discrete choice experiment methods to coastal and marine ecosystem goods and services, in light of attribute non-attendance (ANA). We find that accounting for ANA does not always improve model fit, but when it does, the improvement can be substantial. Estimated price and attribute coefficients change, but these changes do not follow a consistent pattern, in either direction or magnitude. Mean attribute increment value (i.e., willingness to pay, WTP) estimates change, but also with no discernible pattern. However, in several cases, generally in those cases where accounting for ANA improves model fit, we observe substantial improvements in the confidence intervals on WTP; that is, accounting for ANA appears to produce much more precise WTP estimates. In short, we find that accounting for ANA is not always warranted, but when it is, the key payoff appears to be more precise WTP estimates.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"35 1","pages":"219 - 240"},"PeriodicalIF":2.9,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/709442","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45100903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Attribute Non-attendance in Environmental Discrete Choice Experiments: The Impact of Including an Employment Attribute","authors":"Julide Ceren Ahi, Gorm Kipperberg","doi":"10.1086/709457","DOIUrl":"https://doi.org/10.1086/709457","url":null,"abstract":"This paper utilizes data from a split-sample discrete choice experiment to investigate the impact of including an employment attribute on stated preferences for protecting the coastal zone of Arctic Norway. The econometric analysis investigates how its inclusion affects attention to other choice experiment dimensions, and how welfare measures vary between the two subsamples and across models that control for attribute non-attendance versus models that do not. We find that the employment attribute has a relatively high attendance rate and that its inclusion does not appear to decrease attention to other attributes of interest. The impact of the added attribute on the part-worth estimates for environmental attributes is mixed. However, similar to prior research, we find that controlling for attribute non-attendance tends to yield lower welfare estimates. Lastly, our analysis indicates somewhat higher attention to the cost attribute than many previous studies.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"35 1","pages":"201 - 218"},"PeriodicalIF":2.9,"publicationDate":"2020-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/709457","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46463353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Attribute Non-attendance as an Information Processing Strategy in Stated Preference Choice Experiments: Origins, Current Practices, and Future Directions","authors":"Daniel K. Lew, J. Whitehead","doi":"10.1086/709440","DOIUrl":"https://doi.org/10.1086/709440","url":null,"abstract":"Stated preference discrete choice experiments (CE) are increasingly being used by researchers seeking to understand people’s preferences and values in environmental economics, transportation, health, and marketing. An active CE research area relates to behaviors that break from the assumptions of full rationality assumed in standard discrete choice models. In particular, considerable attention in recent years has been on attribute non-attendance (ANA), a type of choice behavior where individuals ignore one or more attributes in CE questions. In this article, we delve into the origins and motivations for the study of ANA as an information processing strategy, delineate the variety of approaches that have developed in the growing literature to identify and account for ANA behavior, and discuss several promising directions for this literature that could enhance our understanding of decision-making in CE studies.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"35 1","pages":"285 - 317"},"PeriodicalIF":2.9,"publicationDate":"2020-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/709440","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43463583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Attribute Non-attendance in Choice Experiments of Marine Ecosystem Goods and Services: Special Issue Introduction","authors":"Daniel K. Lew, J. Whitehead","doi":"10.1086/709439","DOIUrl":"https://doi.org/10.1086/709439","url":null,"abstract":"INTRODUCTION This special issue of Marine Resource Economics focuses on attribute non-attendance (ANA) in stated preference research. ANA occurs when individuals ignore one or more attributes in stated preference choice experiment (CE) questions. If present but unaddressed, ANA can lead to biased model coefficients and welfare estimates. The ANA literature includes two primary approaches for identifying and accounting for ANA behavior in CE studies: the stated and inferred ANA approaches. In the stated ANA approach, survey respondents provide self-reported information about CE attributes that have been ignored or given less than full attention. In the inferred ANA approach, econometric models are used to probabilistically discern ANA behavior from the choice data. In the rest of this introduction, we conduct a systematic bibliometric analysis to characterize the ANA literature and a meta-analysis to examine the effect of ANA strategies on welfare estimates. We then briefly summarize the articles in this special issue and describe how they fit into the literature. Finally, we offer some suggestions for future research.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"35 1","pages":"195 - 200"},"PeriodicalIF":2.9,"publicationDate":"2020-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/709439","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48616764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"In Pursuit of the Three Pillars of Sustainability in Fisheries: A Faroese Case Study","authors":"R. Danielsen, S. Agnarsson","doi":"10.1086/708245","DOIUrl":"https://doi.org/10.1086/708245","url":null,"abstract":"The prevailing perspective in fisheries has been that the three pillars of sustainability—ecology, economics, and social—are incompatible due to inherent tradeoffs. That assumption is now being questioned in the literature. The primary objective of this article is to evaluate the triple-bottom line performance of key fisheries in the Faroe Islands and determine if outcomes vary between management systems. Fisheries managed with limited-access rights demonstrated systematic overfishing, generated little to no resource rent, had poor profits, remuneration was at times very poor, and employment declined. The fleets managed with harvest rights performed better overall. They were more sustainable, more profitable, generated large resource rents, remuneration was large, and employment increased. We conclude that the three pillars of sustainability are compatible and mutually reinforcing and that fleets with harvest rights are more likely to achieve good triple-bottom line results.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"35 1","pages":"177 - 193"},"PeriodicalIF":2.9,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/708245","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48017317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determinants of China’s Seafood Trade Patterns","authors":"Bixuan Yang, James L. Anderson, F. Asche","doi":"10.1086/708617","DOIUrl":"https://doi.org/10.1086/708617","url":null,"abstract":"China is the world’s largest seafood exporter, and changes in its seafood trade patterns have global impacts. In this article, China’s trade patterns are investigated using a gravity-type model. To examine whether trade patterns vary by product form and species group, 13 different models are estimated. The results indicate substantial variation in trade patterns across product categories. In particular, seafood in the live and fresh product forms are a separate group for which trade is significantly more influenced by distance and income level, while the size of the economy and region significantly affects the trade of products in other forms. Particularly notable is the lower unit value of the products shipped to Africa.","PeriodicalId":49880,"journal":{"name":"Marine Resource Economics","volume":"35 1","pages":"97 - 112"},"PeriodicalIF":2.9,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/708617","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44720307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}