{"title":"Productivity and growth decomposition: a novel single-index smooth-coefficient stochastic frontier approach","authors":"Kai Sun, Subal C Kumbhakar, Gudbrand Lien","doi":"10.1093/erae/jbae024","DOIUrl":"https://doi.org/10.1093/erae/jbae024","url":null,"abstract":"Our paper investigates productivity, output growth and total factor productivity (TFP) growth using a novel single-index smooth-coefficient stochastic frontier approach and two firm-level datasets respectively from the high technology (high-tech) manufacturing and Knowledge Intensive Business Services (KIBS) sectors in Norway. The approach considers input productivity and technical inefficiency to be flexible functions of production environmental variables indexed with unknown parameters for more precise estimation of marginal effects of these variables on the frontier and inefficiency. Output growth is decomposed into technical change (TC), input-driven component (IDC) and efficiency change (EC), while TFP growth is decomposed into TC, scale component and EC. The primary objective is to (i) maximise output through the frontier and efficiency channels and (ii) enhance productivity growth through such channels as technical progress and efficiency improvement, specifically tailored for the manufacturing and services industries. The empirical results reveal substantial heterogeneity in technology across firms. Overall speaking, geographical industrial concentration, export intensity and urbanisation positively influence output in both sectors. Technical progress contributes to TFP growth in both sectors; however, TC is biased towards capital in the high-tech sector and driven by labour in the KIBS sector. In addition to TC, TFP growth in the high-tech and KIBS sectors also benefits from EC and IDC, respectively.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"10 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial analysis of production technology, productivity and innovation","authors":"Fikru K Alemayehu, Subal C Kumbhakar","doi":"10.1093/erae/jbae030","DOIUrl":"https://doi.org/10.1093/erae/jbae030","url":null,"abstract":"This study employs a state-of-the-art econometric methodology to investigate the relationship between firm productivity and innovation, considering the spatial heterogeneity of firms and locations. It examines significant variations in productivity and production technologies among firms and locations within Norwegian food and beverage (F&B) manufacturing. Analysing data from 336 firms over 12 years, our findings indicate that geographical location influences production processes, productivity and productivity persistence. This research contributes to existing knowledge by emphasising the influence of spatial heterogeneity on productivity and innovation in the F&B industry. It also recommends integrating geographical variations into regional development policies and firm-level strategies.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"323 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142902267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bingyu Huangfu, Xuwen Gao, Xinjie Shi, Songqing Jin
{"title":"Move out of the land: certification and migration in China","authors":"Bingyu Huangfu, Xuwen Gao, Xinjie Shi, Songqing Jin","doi":"10.1093/erae/jbae021","DOIUrl":"https://doi.org/10.1093/erae/jbae021","url":null,"abstract":"Motivated by the emphasis on securing property rights as an important tool for the efficient allocation of resources, including land and labour, we use three rounds of China Rural Household Panel Survey data to assess the impact of a land certification programme (LCP) on the labour and land allocation in rural China. We find that the LCP results in increased rural–urban migration, more active land rental markets, as well as higher household income and consumption in rural China. These effects vary with age and are larger for younger individuals and households with heads aged 50 years or younger. Improving property rights could be a central task for the Chinese government to tackle issues related to labour and land misallocation.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"13 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Can survey design reduce anchoring bias in recall data? Evidence from smallholder farmers in Malawi","authors":"Susan Godlonton, Manuel A Hernandez, Cynthia Paz","doi":"10.1093/erae/jbae026","DOIUrl":"https://doi.org/10.1093/erae/jbae026","url":null,"abstract":"Recall biases in retrospective self-reported survey data have important implications for empirical research. We leverage the survey design literature and test three strategies to attenuate mental anchoring in retrospective data collection: question ordering, retrieval cues and aggregate (community) anchoring. We focus on maize production and happiness reports among smallholder farmers in Malawi. Asking for retrospective before concurrent data on average reduces recall bias (i.e. the deviation of the recalled versus the concurrent outcome reported in the previous period) by 34 per cent for maize production, a meaningful improvement with no increase in data collection costs. Retrieval cues are less successful and community anchors can exacerbate the bias. None of the strategies help to ease the recall bias for happiness reports.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"3 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do non-farmers pay more for land than farmers?","authors":"Lorenz Schmidt, Martin Odening, Matthias Ritter","doi":"10.1093/erae/jbae023","DOIUrl":"https://doi.org/10.1093/erae/jbae023","url":null,"abstract":"The increase in farmland prices in many parts of the world over the past decade has sparked discussions about whether non-farmers pay higher prices for farmland. This study uses a causal machine learning approach with a rich data set of land transactions in Germany to quantify the potential price premium paid by non-farmers. By applying the causal forest method, we uncover the heterogeneity of price premiums and reveal moderating effects of covariates. We find that the average positive price premium by non-farmers decreases with parcel size and distance to a highway exit.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"4 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Drought shocks and labour reallocation in rural Africa: evidence from Ethiopia","authors":"Arnold L Musungu, Zaneta Kubik, Matin Qaim","doi":"10.1093/erae/jbae020","DOIUrl":"https://doi.org/10.1093/erae/jbae020","url":null,"abstract":"We study how rural households in Ethiopia adapt to droughts through labour reallocation. Using three waves of panel data and exploiting spatio-temporal variations in drought exposure, we find that households reduce on-farm work and increase off-farm self-employment in response to both short-term and persistent droughts, without abandoning family farming. Diversification into off-farm activities is driven by drought-related productivity declines in agriculture and contributes to consumption smoothing and food security. Households with better access to financial services are more likely to reallocate labour off-farm. Our results highlight the importance of strengthening the rural non-farm economy to enhance rural households’ climate resilience.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"68 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141908965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Probabilistic programming for embedding theory and quantifying uncertainty in econometric analysis","authors":"Hugo Storm, Thomas Heckelei, Kathy Baylis","doi":"10.1093/erae/jbae016","DOIUrl":"https://doi.org/10.1093/erae/jbae016","url":null,"abstract":"The replication crisis in empirical research calls for a more mindful approach to how we apply and report statistical models. For empirical research to have a lasting (policy) impact, these concerns are crucial. In this paper, we present Probabilistic Programming (PP) as a way forward. The PP workflow with an explicit data-generating process enhances the communication of model assumptions, code testing and consistency between theory and estimation. By simplifying Bayesian analysis, it also offers advantages for the interpretation, communication and modelling of uncertainty. We outline the advantages of PP to encourage its adoption in our community.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"15 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141521615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Climate change and winter wheat yields: the roles of freezing days and long-run adaptations","authors":"Yabin Da, Yangyang Xu, Fujin Yi, Bruce McCarl","doi":"10.1093/erae/jbae015","DOIUrl":"https://doi.org/10.1093/erae/jbae015","url":null,"abstract":"This paper employs the recently proposed climate penalty model to estimate season-specific climate change impacts on Chinese winter wheat yields and also reveals the effects of long-run adaptions by comparing the short-run and long-run estimates identified from the model. We find that Spring freezing days are critical as we estimate small yield gains when considering a reduction in the number of freezing days (induced by global warming), as opposed to large yield losses when such effects are omitted. We also find substantial influences of adaptation effects that could reverse the sign of climate change impacts.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"51 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141185136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The effect of information and beliefs on preferences for sustainably produced beef","authors":"Mariam Ishaq, Deepthi Kolady, Carola Grebitus","doi":"10.1093/erae/jbae014","DOIUrl":"https://doi.org/10.1093/erae/jbae014","url":null,"abstract":"Beef production is a major contributor to greenhouse gas (GHG) emissions. We conducted a choice experiment to analyse consumers’ willingness to pay (WTP) for beef characterised as carbon-friendly. We included a treatment where respondents were informed about carbon-friendly production and surveyed beliefs regarding beef production’s contribution to GHG emissions. The results show that consumers have a positive WTP for carbon-friendly beef and providing information increases the premium that they are willing to pay for it. The findings also suggest that consumers who believe that beef production contributes to GHG emissions are willing to pay more for beef carrying a carbon-friendly label.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"1 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141177388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Heterogeneity of European farmers’ risk preferences: an individual participant data meta-analysis","authors":"Viviana Garcia, Chloe McCallum, Robert Finger","doi":"10.1093/erae/jbae012","DOIUrl":"https://doi.org/10.1093/erae/jbae012","url":null,"abstract":"We present a new approach to establish an empirical overview of farmers’ risk preferences and the characteristics associated with these preferences. We rely on an Individual Participant Data Meta-analysis whereby we identify studies eliciting risk preferences through self-assessments and Holt and Laury lotteries, and construct and analyse a unique dataset of 5,157 farmers from 19 studies in 13 European countries. Our results reveal significant heterogeneity in risk preferences across elicitation methods, within and across studies, risk domains and farm and farmer characteristics. European farmers are on average risk-averse when risk preferences are elicited by lotteries, and on average risk-neutral when elicited by self-assessments. Beyond differences in the average risk aversion, there are distributional differences pointing to a limited convergence between elicitation methods and a larger explanatory power of farm and farmer characteristics to determine risk preferences elicited with self-assessments compared to lotteries.","PeriodicalId":50476,"journal":{"name":"European Review of Agricultural Economics","volume":"51 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141165244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}