Pub Date : 2023-01-26DOI: 10.1007/s11123-023-00660-9
H. Dyckhoff
{"title":"Proper modelling of industrial production systems with unintended outputs: a different perspective","authors":"H. Dyckhoff","doi":"10.1007/s11123-023-00660-9","DOIUrl":"https://doi.org/10.1007/s11123-023-00660-9","url":null,"abstract":"","PeriodicalId":16870,"journal":{"name":"Journal of Productivity Analysis","volume":"59 1","pages":"173-188"},"PeriodicalIF":1.6,"publicationDate":"2023-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48051655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-05DOI: 10.1007/s11123-022-00657-w
L. Taylor, S. Grosskopf, K. Hayes, L. Razzolini
{"title":"The role of poverty measurements in achieving educational equity through school finance reform","authors":"L. Taylor, S. Grosskopf, K. Hayes, L. Razzolini","doi":"10.1007/s11123-022-00657-w","DOIUrl":"https://doi.org/10.1007/s11123-022-00657-w","url":null,"abstract":"","PeriodicalId":16870,"journal":{"name":"Journal of Productivity Analysis","volume":" ","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49518404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1007/s11123-023-00665-4
Silvia Emili, Federica Galli
The aim of this paper is to extend the literature on multisectoral industries productivity such as tourism by simultaneously analysing the multidimensional nature of the Italian tourism sector in the period 2011-2020, considering both cross-sectoral and spatial spillover effects. To further improve our analysis, we consider two fundamental features for policy decisions: high spatial detail of analysis and the multipurpose nature of the tourism industry. Empirical findings confirm the hypotheses that the productivity level of the Italian tourism industry depends on its ability to make to most of the different input factors coming from different sectors and on (positive and negative) input spillovers.
{"title":"Spatial and cross-sectoral input spillover effects: the case of the Italian tourism industry.","authors":"Silvia Emili, Federica Galli","doi":"10.1007/s11123-023-00665-4","DOIUrl":"https://doi.org/10.1007/s11123-023-00665-4","url":null,"abstract":"<p><p>The aim of this paper is to extend the literature on multisectoral industries productivity such as tourism by simultaneously analysing the multidimensional nature of the Italian tourism sector in the period 2011-2020, considering both cross-sectoral and spatial spillover effects. To further improve our analysis, we consider two fundamental features for policy decisions: high spatial detail of analysis and the multipurpose nature of the tourism industry. Empirical findings confirm the hypotheses that the productivity level of the Italian tourism industry depends on its ability to make to most of the different input factors coming from different sectors and on (positive and negative) input spillovers.</p>","PeriodicalId":16870,"journal":{"name":"Journal of Productivity Analysis","volume":"59 3","pages":"243-258"},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951159/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9469933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1007/s11123-023-00664-5
Inmaculada C Álvarez, Luis Orea, Alan Wall
We use a stochastic frontier analysis (SFA) approach to model the propagation of the COVID-19 epidemic across geographical areas. The proposed models permit reported and undocumented cases to be estimated, which is important as case counts are overwhelmingly believed to be undercounted. The models can be estimated using only epidemic-type data but are flexible enough to permit these reporting rates to vary across geographical cross-section units of observation. We provide an empirical application of our models to Spanish data corresponding to the initial months of the original outbreak of the virus in early 2020. We find remarkable rates of under-reporting that might explain why the Spanish Government took its time to implement strict mitigation strategies. We also provide insights into the effectiveness of the national and regional lockdown measures and the influence of socio-economic factors in the propagation of the virus.
{"title":"Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models.","authors":"Inmaculada C Álvarez, Luis Orea, Alan Wall","doi":"10.1007/s11123-023-00664-5","DOIUrl":"https://doi.org/10.1007/s11123-023-00664-5","url":null,"abstract":"<p><p>We use a stochastic frontier analysis (SFA) approach to model the propagation of the COVID-19 epidemic across geographical areas. The proposed models permit reported and undocumented cases to be estimated, which is important as case counts are overwhelmingly believed to be undercounted. The models can be estimated using only epidemic-type data but are flexible enough to permit these reporting rates to vary across geographical cross-section units of observation. We provide an empirical application of our models to Spanish data corresponding to the initial months of the original outbreak of the virus in early 2020. We find remarkable rates of under-reporting that might explain why the Spanish Government took its time to implement strict mitigation strategies. We also provide insights into the effectiveness of the national and regional lockdown measures and the influence of socio-economic factors in the propagation of the virus.</p>","PeriodicalId":16870,"journal":{"name":"Journal of Productivity Analysis","volume":"59 3","pages":"259-279"},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975832/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9416359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1007/s11123-023-00659-2
Antonella Basso, Maria Bruna Zolin
The paper computes and analyses some relevant indicators of economic performance of Italian farms producing/not producing renewable energy, and compares the economic results of the two set of farms. The source of data is the European Farm Accountant Data Network; the farms belonging to this network are analysed in relation to their structural differences, type of farming, geographical areas, economic size, as well as the type of renewable energy produced. After an in-depth statistical investigation, the main economic ratios are computed and analysed using also multivariate regression models, with a special focus on the production of solar and biogas energy. In terms of land and labour productivity and fixed factor remuneration, the results show that farms producing renewable energy perform better than the other farms. This positive effect is particularly accentuated in large companies that produce biogas, followed by farms that produce solar energy. There are still many obstacles that limit the production of renewable energy in agriculture; among these, still insufficient research and information on best practices in agriculture and, in Italy, the complexity and dispersion of the institutional legislative framework and of the public support systems. However, the need to increase the production of renewable energy has become a priority for many European countries both in the short- and in the medium term, especially in light of recent events related to the war in Ukraine.
{"title":"Analyzing the land and labour productivity of farms producing renewable energy: the Italian case study.","authors":"Antonella Basso, Maria Bruna Zolin","doi":"10.1007/s11123-023-00659-2","DOIUrl":"https://doi.org/10.1007/s11123-023-00659-2","url":null,"abstract":"<p><p>The paper computes and analyses some relevant indicators of economic performance of Italian farms producing/not producing renewable energy, and compares the economic results of the two set of farms. The source of data is the European Farm Accountant Data Network; the farms belonging to this network are analysed in relation to their structural differences, type of farming, geographical areas, economic size, as well as the type of renewable energy produced. After an in-depth statistical investigation, the main economic ratios are computed and analysed using also multivariate regression models, with a special focus on the production of solar and biogas energy. In terms of land and labour productivity and fixed factor remuneration, the results show that farms producing renewable energy perform better than the other farms. This positive effect is particularly accentuated in large companies that produce biogas, followed by farms that produce solar energy. There are still many obstacles that limit the production of renewable energy in agriculture; among these, still insufficient research and information on best practices in agriculture and, in Italy, the complexity and dispersion of the institutional legislative framework and of the public support systems. However, the need to increase the production of renewable energy has become a priority for many European countries both in the short- and in the medium term, especially in light of recent events related to the war in Ukraine.</p>","PeriodicalId":16870,"journal":{"name":"Journal of Productivity Analysis","volume":"59 2","pages":"153-172"},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862230/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9108062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-10DOI: 10.1007/s11123-022-00652-1
Sizhong Sun
{"title":"Firm heterogeneity, worker training and labor productivity: the role of endogenous self-selection","authors":"Sizhong Sun","doi":"10.1007/s11123-022-00652-1","DOIUrl":"https://doi.org/10.1007/s11123-022-00652-1","url":null,"abstract":"","PeriodicalId":16870,"journal":{"name":"Journal of Productivity Analysis","volume":"59 1","pages":"121-133"},"PeriodicalIF":1.6,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46271182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-08DOI: 10.1007/s11123-022-00655-y
Yunguo Lu, Lin Zhang
{"title":"Environmental information disclosure and firm production: evidence from the estimated efficiency of publicly listed firms in China","authors":"Yunguo Lu, Lin Zhang","doi":"10.1007/s11123-022-00655-y","DOIUrl":"https://doi.org/10.1007/s11123-022-00655-y","url":null,"abstract":"","PeriodicalId":16870,"journal":{"name":"Journal of Productivity Analysis","volume":"59 1","pages":"99-119"},"PeriodicalIF":1.6,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46907302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-05DOI: 10.1007/s11123-022-00651-2
Z. Zeebari, K. Månsson, P. Sjölander, Magnus Söderberg
{"title":"Regularized conditional estimators of unit inefficiency in stochastic frontier analysis, with application to electricity distribution market","authors":"Z. Zeebari, K. Månsson, P. Sjölander, Magnus Söderberg","doi":"10.1007/s11123-022-00651-2","DOIUrl":"https://doi.org/10.1007/s11123-022-00651-2","url":null,"abstract":"","PeriodicalId":16870,"journal":{"name":"Journal of Productivity Analysis","volume":"59 1","pages":"79-97"},"PeriodicalIF":1.6,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43087595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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