285 research outputs found

    Synergistic drug-cytokine induction of hepatocellular death as an in vitro approach for the study of inflammation-associated idiosyncratic drug hepatotoxicity

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    Idiosyncratic drug hepatotoxicity represents a major problem in drug development due to inadequacy of current preclinical screening assays, but recently established rodent models utilizing bacterial LPS co-administration to induce an inflammatory background have successfully reproduced idiosyncratic hepatotoxicity signatures for certain drugs. However, the low-throughput nature of these models renders them problematic for employment as preclinical screening assays. Here, we present an analogous, but high-throughput, in vitro approach in which drugs are administered to a variety of cell types (primary human and rat hepatocytes and the human HepG2 cell line) across a landscape of inflammatory contexts containing LPS and cytokines TNF, IFNγ, IL-1α, and IL-6. Using this assay, we observed drug–cytokine hepatotoxicity synergies for multiple idiosyncratic hepatotoxicants (ranitidine, trovafloxacin, nefazodone, nimesulide, clarithromycin, and telithromycin) but not for their corresponding non-toxic control compounds (famotidine, levofloxacin, buspirone, and aspirin). A larger compendium of drug–cytokine mix hepatotoxicity data demonstrated that hepatotoxicity synergies were largely potentiated by TNF, IL-1α, and LPS within the context of multi-cytokine mixes. Then, we screened 90 drugs for cytokine synergy in human hepatocytes and found that a significantly larger fraction of the idiosyncratic hepatotoxicants (19%) synergized with a single cytokine mix than did the non-hepatotoxic drugs (3%). Finally, we used an information theoretic approach to ascertain especially informative subsets of cytokine treatments for most highly effective construction of regression models for drug- and cytokine mix-induced hepatotoxicities across these cell systems. Our results suggest that this drug–cytokine co-treatment approach could provide a useful preclinical tool for investigating inflammation-associated idiosyncratic drug hepatotoxicity.Pfizer Inc.Institute for Collaborative BiotechnologiesMIT Center for Cell Decision ProcessesNational Institute of Mental Health (U.S.) (grant P50-GM68762)National Institute of Mental Health (U.S.) (grant T32-GM008334)Massachusetts Institute of Technology. Biotechnology Process Engineering CenterMassachusetts Institute of Technology. Center for Environmental Health SciencesNational Institute of Mental Health (U.S.) (grant U19ES011399)Whitaker Foundatio

    Well-Being in Germany: GDP and Unemployment Still Matter

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    This paper examines regional differences in subjective well-being (SWB) in Germany. Inferential statistics indicate a diminishing but still significant gap between East and West Germany, but also differing levels of SWB within both parts. The observed regional pattern of life satisfaction reflects macroeconomic fundamentals, where labor market conditions play a dominant role. Differing levels of GDP and economic growth have contributed rather indirectly to regional well-being such that the years since the German reunification can be considered as a period of joyless growth. Approximately half of the satisfaction gap between East and West Germany can be attributed to differing macroeconomic conditions. Moreover, we argue that it is advisable for governments to collect more data on aspects that presumably influence the well-being of society. For example, it is highly probable that reliable data on regional income inequality would lead to several important and influential studies. This, in turn, can help to design indicators for those characteristics which are known for affecting SWB. In total, we do not perceive any fundamental caveat for using data on SWB in order to measure welfare directly, at least within culturally and linguistically homogenous regions. To reduce statistical uncertainty, however, it would be helpful to include subjective information of this kind into larger cross-sectional surveys such as common census data

    Genetic variability in CYP3A4 and CYP3A5 in primary liver, gastric and colorectal cancer patients

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    <p>Abstract</p> <p>Background</p> <p>Drug-metabolizing enzymes play a role in chemical carcinogenesis through enzymatic activation of procarcinogens to biologically reactive metabolites. The role of gene polymorphisms of several cytochrome P450 enzymes in digestive cancer risk has been extensively investigated. However, the drug-metabolizing enzymes with the broader substrate specificity, CYP3A4 and CYP3A5, have not been analyzed so far. This study aims to examine associations between common CYP3A4 and CYP3A5 polymorphisms and digestive cancer risk.</p> <p>Methods</p> <p>CYP3A4 and CYP3A5 genotypes were determined in 574 individuals including 178 patients with primary liver cancer, 82 patients with gastric cancer, 151 patients with colorectal cancer, and 163 healthy individuals.</p> <p>Results</p> <p>The variant allele frequencies for patients with liver cancer, gastric cancer, colorectal cancer and healthy controls, respectively, were: <it>CYP3A4*1B</it>, 4.8 % (95% C.I. 2.6–7.0), 3.7 % (0.8–6.6) 4.3% (2.0–6.6) and 4.3% (2.1–6.5); <it>CYP3A5*3</it>, 91.8 % (93.0–97.4), 95.7% (92.6–98.8), 91.7% (88.6–94.8) and 90.8% (87.7–93.9). The association between <it>CYP3A4*1B </it>and <it>CYP3A5*3 </it>variant alleles did not significantly differ among patients and controls. No differences in genotypes, allele frequencies, or association between variant alleles were observed with regard to gender, age at diagnosis, tumour site or stage.</p> <p>Conclusion</p> <p>Common polymorphisms on <it>CYP3A4 </it>and <it>CYP3A5 </it>genes do not modify the risk of developing digestive cancers in Western Europe.</p

    Wellbeing indicators affecting female entrepreneurship in OECD countries

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    [EN] The objective of this research is to know which wellbeing indicators, such as work-life balance, educational level, income or job security, are related to the rate of female entrepreneurship in 29 OECD countries. In addition, these countries have been classified according to the motivation of the entrepreneur either by necessity or by opportunity. The empiric study is focused on 29 OECD countries covering the different geographic areas (Western Europe, Central and Eastern Europe, Middle East, etc.) Due to the fact that the sample is relatively small, it is essential to use a selective approach when selecting the causal conditions. To this end, fsQCA is the most appropriate methodology for such a small data set. A total of 5 variables have been used: an independent variable (female TEA ratio), and four dependent variables (work life balance, educational level, sustainable household income and job security). Data measuring female TEA ratio have been obtained from Global Entrepreneur Monitor (GEM in Global report, 2015) data base, while data measuring wellbeing dimensions were taken from the Better Life Index (OECD in How¿s life? Measuring wellbeing, 2015. http://www.oecdbetterlifeindex.org). The results of this piece of research show that countries with high sustainable household income together with high level of education achieves high female entrepreneurship ratio with both, a good work-life balance (despite of a high unemployment probability), or a high labour-personal imbalance (in this latter, with a low probability of unemployment).This work has been funded by the R + D project for emerging research groups with reference (GVA) GV/2016/078.Ribes-Giner, G.; Moya Clemente, I.; Cervelló Royo, RE.; Perelló Marín, MR. (2019). Wellbeing indicators affecting female entrepreneurship in OECD countries. Quality & Quantity. 53(2):915-933. https://doi.org/10.1007/s11135-018-0796-4S915933532Ahl, H., Nelson, T.: How policy positions women entrepreneurs: a comparative analysis of state discourse in Sweden and the United States. J. Bus. Ventur. 30(2), 273–291 (2015). https://doi.org/10.1016/j.jbusvent.2014.08.002Andersson, P.: Happiness and health: wellbeing among the self-employed. J. Socio-Econ. 37(1), 213–236 (2008). https://doi.org/10.1016/j.socec.2007.03.003Bardasi, E., Sabarwal, S., Terrell, K.: How do female entrepreneurs perform? Evidence from three developing regions. Small Bus. Econ. 37(4), 417–441 (2011). https://doi.org/10.1007/s11187-011-9374-zBergheim, S., Schneider, S., Giesel, B., Walter, N.: Measures of Wellbeing. There is More to it Than GDP. Deutsche Bank Research, Frankfurt (2006)Berglund, H.: Between cognition and discourse: phenomenology and the study of entrepreneurship. Int. J. Entrep. Behav. Res. 21(3), 472–488 (2015). https://doi.org/10.1108/IJEBR-12-2013-0210Bianchi, M., Parisi, V., Salvatore, R.: Female entrepreneurs: motivations and constraints. An Italian regional study. Int. J. Gend. Entrep. 8(3), 198–220 (2016). https://doi.org/10.1108/IJGE-08-2015-0029Bittencourt Marconatto, D.A., Barin-Cruz, L., Pozzebon, M., Poitras, J.E.: Developing sustainable business models within BOP contexts: mobilizing native capability to cope with government programs. J. Clean. Prod. 129, 735–748 (2016). https://doi.org/10.1016/j.jclepro.2016.03.038Boarini, R., Comola, M., Smith, C., Manchin, R., de Keulenaer, F.: What makes for a better life? The determinants of subjective well-being in OECD countries—evidence from the Gallup World Poll. OECD statistics working papers, 2012(3), 0_1 (2012). https://doi.org/10.1787/5k9b9ltjm937-enBoarini, R., D’Ercole, M.M.: Going beyond GDP: an OECD perspective. Fisc. Stud. 34(3), 289–314 (2013). https://doi.org/10.1111/j.1475-5890.2013.12007.xBradshaw, J., Hoelscher, P., Richardson, D. (eds.): Comparing child well-being in OECD countries: Concepts and methods. Innocenti working paper, IWP-2006-03. UNICEF Innocenti Research Centre, Florence, Italy (2007)Brindley, C.: Barriers to women achieving their entrepreneurial potential. Int. J. Entrep. Behav. Res. Emerald Group Publishing Limited (2005). Retrieved from http://www.emeraldinsight.com/doi/full/10.1108/13552550510590554Burke, A.E., Fitzroy, F.R., Nolan, M.A.: What makes a die-hard entrepreneur? Beyond the “employee or entrepreneur” dichotomy. Small Bus. Econ. 31(2), 93–115 (2008). https://doi.org/10.1007/s11187-007-9086-6Buttner, H.E., Moore, D.P.: Women’s organizational exodus to entrepreneurship: self-reported motivations and correlates with success. J. Small Bus. Manag. 35(1), 34–46 (1997). Retrieved from http://search.ebscohost.comCarter, S.: The rewards of entrepreneurship: exploring the incomes, wealth, and economic wellbeing of entrepreneurial households. Entrep. Theory Pract. 35(1), 39–55 (2011)Castaño, M.-S., Méndez, M.-T., Galindo, M.Á.: The effect of social, cultural, and economic factors on entrepreneurship. J. Bus. Res. 68(7), 1496–1500 (2015). https://doi.org/10.1016/j.jbusres.2015.01.040Castellano, R., Musella, G., Punzo, G.: Structure of the labour market and wage inequality: evidence from European countries. Qual. Quant. 51(5), 2191–2218 (2017)Cervelló-Royo, R., Moya-Clemente, I., Ribes-Giner, G.: Microfinance Institutions (MFIs) in Latin America: Who should finance the entrepreneurial ventures of the less privileged? In: Peris-Ortiz, M., Sahut, J.-M. (eds.) New Challenges in Entrepreneurship and Finance, pp. 235–245. Springer, Cham (2015)Cervelló-Royo, R., Guijarro, F., Martinez-Gomez, V.: Social performance considered within the global performance of Microfinance Institutions: a new approach. Oper. Res. (2017). https://doi.org/10.1007/s12351-017-0360-3Chaaban, J., Irani, A., Khoury, A.: The composite global wellbeing index (CGWBI): a new multi-dimensional measure of human development. Soc. Indic. Res. 129(1), 465–487 (2016). https://doi.org/10.1007/s11205-015-1112-5Chapple, S.: Child wellbeing and sole-parent family structure in the OECD: an analysis. OECD. Social, employment, and migration working papers (82), 0_1 (2009)Christofides, L.N., Polycarpou, A., Vrachimis, K.: Gender wage gaps, “sticky floors” and “glass ceilings” in Europe. Labour Econ. 21, 86–102 (2013). https://doi.org/10.1016/j.labeco.2013.01.003Cumming, D., Hou, W., Lee, E.: Sustainable and ethical entrepreneurship, corporate finance and governance, and institutional reform in China. J. Bus. Ethics 134(4), 505–508 (2016). https://doi.org/10.1007/s10551-014-2381-7Cummins, R.A., Eckersley, R., Pallant, J., Van Vugt, J., Misajon, R.: Developing a national index of subjective wellbeing: the Australian Unity Wellbeing Index. Soc. Indic. Res. 64(2), 159–190 (2003). https://doi.org/10.1023/A:1024704320683De la Cruz Sánchez-Escobedo, M., Díaz-Casero, J.C., Díaz-Aunión, Á.M., Hernández-Mogollón, R.: Gender analysis of entrepreneurial intentions as a function of economic development across three groups of countries. Int. Entrep. Manag. J. 10(4), 747–765 (2014). https://doi.org/10.1007/s11365-014-0314-7Diener, E.: Subjective wellbeing. In: Diener, E. (ed.) The Sicence of Wellbeing, pp. 11–58. Springer, Dordrecht (2009). https://doi.org/10.1007/978-90-481-2350-6_2Dodge, R., Daly, A., Huyton, J., Sanders, L.: The challenge of defining wellbeing. Int. J. Wellbeing 2(3), 222–235 (2012). https://doi.org/10.5502/ijw.v2i3.4Fiss, P.C.: Building better casual theories: a fuzzy set approach to typologies in organization research. Acad. Manag. J. 54(2), 393–420 (2011)Fleche, S., Smith, C., Sorsa, P.: Exploring determinants of subjective wellbeing in OECD countries (2011)Fleche, S., Smith, C., Sorsa, P.: Exploring determinants of subjective wellbeing in OECD countries evidence from the world value survey. Working papers, OECD Statistics (2012). https://doi.org/10.1787/5kg0k6zlcm5k-enFoley, A., Griffith, B.: Education, training and the promotion of high quality entrepreneurs in the Republic of Ireland. In: Scott, M.G., Rosa, P., Klandt, H. (eds.) Educating Entrepreneurs for Wealth Creation. Ashgate, Aldershot (1998)Garikipati, S.: Microcredit and women’s empowerment: through the lens of time-use data from rural India. Dev. Change 43(3), 719–750 (2012). https://doi.org/10.1111/j.1467-7660.2012.01780.xGEM (Global Entrepreneurship Monitor): Global report (2015)Harter, J.K., Schmidt, F.L., Keyes, C.L.M.: Wellbeing in the workplace and its relationship to business outcomes. A review of the Gallup studies. In: Keyes, C.L.M., Haidt, J. (eds.) Flourishing: The Positive Person and the Good Life, pp. 205–224. American Psychologi cal Association, Washington (2003)Henry, C., Foss, L., Ahl, H.: Gender and entrepreneurship research: a review of methodological approaches. Int. Small Bus. J. 34(3), 217–241 (2015). https://doi.org/10.1177/0266242614549779Hessels, J., Van Gelderen, M., Thurik, R.: Entrepreneurial aspirations, motivations, and their drivers”. Small Bus. Econ. 31(3), 323–339 (2008). https://doi.org/10.1007/s11187-008-9134-xIezzi, D.F., Deriu, F.: Women active citizenship and wellbeing: the Italian case. Qual. Quant. 48(2), 845–862 (2014)Jansson, T.: Housing choices and labor income risk. J. Urban Econ. 99, 107–119 (2017). https://doi.org/10.1016/j.jue.2016.12.006Johansen, V., Foss, L.: The effects of entrepreneurship education—does gender matter? Int. J. Entrep. Small Bus. 20(3), 255–271 (2013). https://doi.org/10.1504/IJESB.2013.056889Judge, W.Q., Hu, H.W., Gabrielsson, J., Talaulicar, T., Witt, M.A., Zattoni, A., Kibler, B.: Configurations of capacity for change in entrepreneurial threshold firms: imprinting and strategic choice perspectives. J. Manag. Stud. 52(4), 506–530 (2015). https://doi.org/10.1111/joms.12121Kautonen, T., Kibler, E., Minniti, M.: Late-career entrepreneurship, income and quality of life. J. Bus. Ventur. 32(3), 318–333 (2017). https://doi.org/10.1016/j.jbusvent.2017.02.005Kephart, P., Schumacher, L.: Has the “glass ceiling” cracked? An exploration of women entrepreneurship. J. Leadersh. Organ. Stud. 12(1), 2–15 (2005). https://doi.org/10.1177/107179190501200102Kirkwood, J.: Motivational factors in a push–pull theory of entrepreneurship. Gend. Manag. Int. J. 24(5), 346–364 (2009). https://doi.org/10.1108/17542410910968805Kobeissi, N.: Gender factors and female entrepreneurship: International evidence and policy implications. J. Int. Entrep. 8, 1–35 (2010). Retrieved from https://doi.org/10.1007/s10843-010-0045-yKuckertz, A., Berger, E.S.C., Allmendinger, M.P.: What drives entrepreneurship? A configurational analysis of the determinants of entrepreneurship in innovation-driven economies. Die Betriebswirtschaft/Bus. Adm. Rev. 75(4), 273–288 (2015). https://doi.org/10.1017/cbo9781107415324.004La Placa, V., McNaught, A., Knight, A.: Discourse on wellbeing in research and practice. Int. J. Wellbeing 3, 116–125 (2013). https://doi.org/10.5502/ijw.v3i1.7Langowitz, N., Minniti, M.: The entrepreneurial propensity of women. Entrep. Theory Pract. 31(3), 341–364 (2007). https://doi.org/10.1111/j.1540-6520.2007.00177.xLee, S.S.Y.: Examining policy configurations as conditions for long-term unemployment and non-standard employment in OECD countries using fuzzy-set analysis. Qual. Quant. 47(6), 3521–3536 (2013)Leffler, E., Svedberg, G.: Enterprise learning: a challenge to education? Eur. Educ. Res. J. 4(3), 219–227 (2005)Levie, J., Autio, E.: A theoretical grounding and test of the GEM model. Small Bus. Econ. 31(3), 235–263 (2008). https://doi.org/10.1007/s11187-008-9136-8Maccagnan, A., Wren-Lewis, S., Brown, H., Taylor, T.: Wellbeing and society: towards quantification of the co-benefits of wellbeing. Soc. Indic. Res. 1–27 (2018)Mandl, C., Berger, E.S.C., Kuckertz, A.: Do you plead guilty? Exploring entrepreneurs’ sensemaking-behavior link after business failure. J. Bus. Ventur. Insights 5, 9–13 (2016). https://doi.org/10.1016/j.jbvi.2015.12.002Martin, B.C., McNally, J.J., Kay, M.J.: Examining the formation of human capital in entrepreneurship: a meta-analysis of entrepreneurship education outcomes. J. Bus. Ventur. 28(2), 211–224 (2013). https://doi.org/10.1016/j.jbusvent.2012.03.002McClelland, E., Swail, J., Bell, J., Ibbotson, P.: Following the pathway of female entrepreneurs. Int. J. Entrep. Behav. Res. 11(2), 84–107 (2005). https://doi.org/10.1108/13552550510590527Millán, J.M., Hessels, J., Thurik, R., Aguado, R.: Determinants of job satisfaction: a European comparison of self-employed and paid employees. Small Bus. Econ. 40(3), 651–670 (2013). https://doi.org/10.1007/s11187-011-9380-1Minniti, M., Nardone, C.: Being in someone else’s shoes: the role of gender in nascent entrepreneurship. Small Bus. Econ. 28(2–3), 223–238 (2007). https://doi.org/10.1007/s11187-006-9017-yMishra, V., Nielsen, I., Smyth, R.: How does relative income and variations in short-run wellbeing affect wellbeing in the long run? Empirical evidence from China’s Korean minority. Soc. Indic. Res. 115(1), 67–91 (2014)Murias, P., Martinez, F., de Miguel, C.: An economic wellbeing index for the Spanish provinces: a data envelopment analysis approach. Soc. Indic. Res. 77(3), 395–417 (2006). https://doi.org/10.1007/s11205-005-2613-4Naudé, W., Amorós, J.E., Cisti, O.: Surfeiting, the appetite may sticken: entrepreneurship and happiness. Small Bus. Econ. 42(3), 523–540 (2014)Ng, T.W.H., Feldman, D.C.: Re-examining the relationship between age and voluntary turnover. J. Vocat. Behav. 74(3), 283–294 (2009). https://doi.org/10.1016/j.jvb.2009.01.004O’Connor, A.: A conceptual framework for entrepreneurship education policy: meeting government and economic purposes. J. Bus. Ventur. 28(4), 546–563 (2013). https://doi.org/10.1016/j.jbusvent.2012.07.003Organisation for Economic Co-operation and Development (OECD): OECD guidelines on measuring subjective well-being (2013)Organization for Economic Cooperation and Development: How’s Life? Measuring Wellbeing (2015). http://www.oecdbetterlifeindex.org . Accessed 28 May 2017Orlova, L.V., Sakhabieva, G.A., Vasyaycheva, V.A., Pronina, N.N.: Impact of educational attainment on the development of female entrepreneurship in Kazakhstan. Indian J. Sci. Technol. (2016). https://doi.org/10.17485/ijst/2016/v9i11/89427Osberg, L., Sharpe, A.: An index of economic wellbeing for selected OECD countries. Rev. Income Wealth 5(3), 291–316 (2002). https://doi.org/10.1111/1475-4991.00056Osberg, L., Sharpe, A.: New Estimates of the Index of Economic Wellbeing for Selected OECD Countries, 1980–2007. Centre for the Study of Living Standards, Ottawa (2009)Parasuraman, S., Purohit, Y.S., Godshalk, V.M., Beutell, N.J.: Work and family variables, entrepreneurial career success, and psychological wellbeing. J. Vocat. Behav. 48(3), 275–300 (1996). https://doi.org/10.1006/jvbe.1996.0025Parasuraman, S., & Simmers, C.A.: Type of employment, work–family conflict and well-being: a comparative study. J. Organ. Behav.: Int. J Ind., Occup. Organ. Psychol. Behav. 22(5), 551–568 (2001)Patrick, C., Stephens, H., Weinstein, A.: Where are all the self-employed women? Push and pull factors influencing female labor market decisions. Small Bus. Econ. 46(3), 365–390 (2016). https://doi.org/10.1007/s11187-015-9697-2Poggesi, S., Mari, M., De Vita, L.: What’s new in female entrepreneurship research? Answers from the literature. Int. Entrep. Manag. J. 12(3), 735–764 (2015). https://doi.org/10.1007/s11365-015-0364-5Ragin, C.: The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. University of California Press, Berkeley (1987)Ragin, C.C.: New directions in comparative research. In: Kohn, M.L. (ed.) Cross-National Research in Sociology, pp. 57–76. Sage, Newbury Park (1989)Ragin, C.C.: Fuzzy-Set Social Science. University of Chicago Press, Chicago (2000)Ragin, Charles C., Sonnett, J.: Between complexity and parsimony: limited diversity, counterfactual cases, and comparative analysis. In: Ragin, Charles C. (ed.) Redesigning Social Inquiry. University of Chicago Press, Chicago (2004)Ragin, C.C.: Redesigning Social Inquiry: Fuzzy Sets and Beyond, vol. 240. University of Chicago Pres, Chicago (2008)Rahman, S.A., Amran, A., Ahmad, N.H., Taghizadeh, S.K.: Enhancing the wellbeing of base of the pyramid entrepreneurs through business success: the role of private organizations. Soc. Indic. Res. 127(1), 195–216 (2016). https://doi.org/10.1007/s11205-015-0951-4Renee Baptiste, N.: Tightening the link between employee wellbeing at work and performance. Manag. Decis. 46(2), 284–309 (2008). https://doi.org/10.1108/00251740810854168Rey-Martí, A., Tur Porcar, A., Mas-Tur, A.: Linking female entrepreneurs’ motivation to business survival. J. Bus. Res. 68(4), 810–814 (2015). https://doi.org/10.1016/j.jbusres.2014.11.033Reynolds, P.D., Bygrave, W.D., Autio, E., Cox, L.W., Hay, M.: Global entrepreneurship monitor, 2002 executive report. London (2002)Ribes-Giner, G., Moya-Clemente, I., Cervelló-Royo, R., Perello-Marin, M.R.: Domestic economic and social conditions empowering female entrepreneurship. J. Bus. Res. 89, 182–189 (2018)Ruth Eikhof, D., Summers, J., Carter, S., Eikhof, D.R., Summers, J., Carter, S.: Women doing their own thing: media representations of female entrepreneurship. Int. J. Entrep. Behav. Res. 19(5), 547–564 (2013). https://doi.org/10.1108/IJEBR-09-2011-0107Sampedro Gallego, R., Camarero Rioja, L.: Female entrepreneurs in rural Spain—the failed subject of development. Rev. Int. Sociol. 65(48), 121–146 (2007)Saridakis, G., Marlow, S., Storey, D.J.: Do different factors explain male and female self-employment rates? J. Bus. Ventur. 29(3), 345–362 (2014). https://doi.org/10.1016/j.jbusvent.2013.04.004Shepherd, D.A., Douglas, E.J., Shanley, M.: New venture survival: ignorance, external shocks, and risk reduction strategies. J. Bus. Ventur. 15(5), 393–410 (2000). https://doi.org/10.1016/S0883-9026(98)00008-1Shepherd, D., Haynie, J.M.: Birds of a feather don’t always flock together: identity management in entrepreneurship. J. Bus. Ventur. 24(4), 316–337 (2009). https://doi.org/10.1016/j.jbusvent.2007.10.005Shinnar, R.S., Hsu, D.K., Powell, B.C.: Self-efficacy, entrepreneurial intentions, and gender: assessing the impact of entrepreneurship education longitudinally. Int. J. Manag. Educ. 12(3), 561–570 (2014). https://doi.org/10.1016/j.ijme.2014.09.005Shir, N.: Entrepreneurial Wellbeing: The Payoff Structure of Business Creation. Stockholm School of Economics, Stockholm (2015)Thiem, A., Dusa, A.: QCA: a package for qualitative comparative analysis. R package version 2.0. R J. 5, 87–97 (2013). Retrieved from https://cran.r-project.org/web/packages/QCA/index.htmlTorri, M.M.C., Martinez, A.: Women’s empowerment and micro-entrepreneurship in India: constructing a new development paradigm? Prog. Dev. Stud. 14(1), 31–48 (2014). https://doi.org/10.1177/1464993413504347Tur-Porcar, A., Mas-Tur, A., Belso, J.A.: Barriers to women entrepreneurship. Different methods, different results? Qual. Quant. 51(5), 2019–2034 (2017)Uy, M.A., Foo, M.Der, Song, Z.: Joint effects of prior start-up experience and coping strategies on entrepreneurs’ psychological wellbeing. J. Bus. Ventur. 28(5), 583–597 (2013). https://doi.org/10.1016/j.jbusvent.2012.04.003Uy, M.A., Sun, S., Foo, M.Der: Affect spin, entrepreneurs’ wellbeing, and venture goal progress: the moderating role of goal orientation. J. Bus. Ventur. 32(4), 443–460 (2017). https://doi.org/10.1016/j.jbusvent.2016.12.001Van der Sluis, J., Van Praag, M., Vijverberg, W.: Education and entrepreneurship selection and performance: a review of empirical literature. J. Econ. Surv. 22(5), 795–841 (2008)Verheul, I., Stel, A.Van, Thurik, R.: Explaining female and male entrepreneurship at the country level. Entrep. Reg. Dev. 18(2), 151–183 (2006). https://doi.org/10.1080/08985620500532053Witbooi, M., Ukpere, W.: Indigenous female entrepreneurship: analytical study on access to finance for women entrepreneurs in South Africa. Afr. J. Bus. Manag. 5(14), 5646–5657 (2011)Woodside, A.G., Bernal, P.M., Coduras, A.: The general theory of culture, entrepreneurship, innovation, and quality-of-life: comparing nurturing versus thwarting enterprise start-ups in BRIC, Denmark, Germany, and the United States. Ind. Mark. Manag. (2015). https://doi.org/10.1016/j.indmarman.2015.11.00

    Call for emergency action to restore dietary diversity and protect global food systems in times of COVID-19 and beyond: Results from a cross-sectional study in 38 countries

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    Background: The COVID-19 pandemic has revealed the fragility of the global food system, sending shockwaves across countries\u27 societies and economy. This has presented formidable challenges to sustaining a healthy and resilient lifestyle. The objective of this study is to examine the food consumption patterns and assess diet diversity indicators, primarily focusing on the food consumption score (FCS), among households in 38 countries both before and during the first wave of the COVID-19 pandemic. Methods: A cross-sectional study with 37 207 participants (mean age: 36.70 ± 14.79, with 77 % women) was conducted in 38 countries through an online survey administered between April and June 2020. The study utilized a pre-tested food frequency questionnaire to explore food consumption patterns both before and during the COVID-19 periods. Additionally, the study computed Food Consumption Score (FCS) as a proxy indicator for assessing the dietary diversity of households. Findings: This quantification of global, regional and national dietary diversity across 38 countries showed an increment in the consumption of all food groups but a drop in the intake of vegetables and in the dietary diversity. The household\u27s food consumption scores indicating dietary diversity varied across regions. It decreased in the Middle East and North Africa (MENA) countries, including Lebanon (p \u3c 0.001) and increased in the Gulf Cooperation Council countries including Bahrain (p = 0.003), Egypt (p \u3c 0.001) and United Arab Emirates (p = 0.013). A decline in the household\u27s dietary diversity was observed in Australia (p \u3c 0.001), in South Africa including Uganda (p \u3c 0.001), in Europe including Belgium (p \u3c 0.001), Denmark (p = 0.002), Finland (p \u3c 0.001) and Netherland (p = 0.027) and in South America including Ecuador (p \u3c 0.001), Brazil (p \u3c 0.001), Mexico (p \u3c 0.0001) and Peru (p \u3c 0.001). Middle and older ages [OR = 1.2; 95 % CI = [1.125–1.426] [OR = 2.5; 95 % CI = [1.951–3.064], being a woman [OR = 1.2; 95 % CI = [1.117–1.367], having a high education (p \u3c 0.001), and showing amelioration in food-related behaviors [OR = 1.4; 95 % CI = [1.292–1.709] were all linked to having a higher dietary diversity. Conclusion: The minor to moderate changes in food consumption patterns observed across the 38 countries within relatively short time frames could become lasting, leading to a significant and prolonged reduction in dietary diversity, as demonstrated by our findings

    Intuition and Reasoning in Choosing Ambiguous and Risky Lotteries

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    This paper focuses on information acquisition and individual decision making in ambiguous situations and presents a novel experimental design which may help to tackle open questions from a fresh perspective. Instead of giving subjects the choice between risky and ambiguous Ellsberg urns, we let them choose between a safe option and a risky lottery, whose risk is a priori unknown to subjects. By acquiring information about the probability distribution of the lottery's payoff s, subjects can reduce or even eliminate the ambiguity and turn the decision situation into one of risk. Under the assumption that an ambiguity averse subject should reduce ambiguity within a decision process we predicted that these subjects would request more information. Moreover, we investigate whether the relation between attitudes towards risk and ambiguity is linked to intuitive and deliberate thinking. Based on a detailed analysis of subjects' information acquisition and decision processes we do not find that those subjects showing ambiguity aversion in an urn experiment based on Halevy (2007) significantly reduce the ambiguity more than others. More intuitive subjects acquire less information and are more likely to avoid the risky lottery. Intuition seems to be negatively correlated with risk aversion, but not with ambiguity aversion. Moreover, we find a positive correlation between risk and ambiguity aversion.Die experimentelle Studie untersucht den Einfluss von Risiko- und Unsicherheitsaversion auf das individuelle Entscheidungsverhalten. Darüber hinaus wird der Einfluss von intuitivem Denken auf den Entscheidungsprozess betrachtet. Dabei stellt die Studie ein neues experimentelles Design vor, welches hilft, die offenen Fragen auf diesem Themengebiet aus einem neuen Blickwinkel zu betrachten. Anders als in der bestehenden Literatur ist der Grad an Unsicherheit in diesem Experiment endogen und kann durch die Probanden verringert werden. Entscheidungen zwischen einer sicheren Option und eingangs durch Unsicherheit charakterisierter Lotterien können somit durch Informationsgewinnung über die Wahrscheinlichkeitsstruktur der Lotterien zu Entscheidungssituationen unter Risiko verändert werden. Basierend auf detaillierten Analysen des Entscheidungsprozesses zeigen die Ergebnisse, dass Individuen mit höherem Grad an Unsicherheitsaversion, gemessen mit einem Testverfahren nach Halevy (2007), die Unsicherheit nicht signifikant mehr reduzieren als andere. Intuitiv denkende Individuen fragen weniger Informationen nach, vermeiden jedoch risikoreichere Lotterien. Die Studie findet eine positive Korrelation zwischen Intuition und Risikoaversion, aber keine zwischen Unsicherheitsaversion und Intuition. Darüber hinaus zeigen die Ergebnisse eine positive Korrelation zwischen Risiko- und Unsicherheitsaversion

    How Do Fair Value Measurements of Financial Instruments Affect Investments in Banks?

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    This paper experimentally investigates how fair value measurements of financial instruments affect the decision of nonprofessional investors to invest in a bank's shares. Specifically, we assess how investors respond to variations in net income resulting from fair value adjustments in trading assets and how the reliability of the fair value estimates affects their decision. We find that investment decreases as a result of transitions from the first to the third level and we even observe lower investments in case of positive changes in income. Investment decreases most if negative valuation adjustments are based on level 1 estimates suggesting that down pricing by the market is considered as a worse signal than model-based decreases in net income. For larger positive and negative adjustments the impact of valuation levels on investment turns out to be limited. Our results do not provide evidence that Fair Value Accounting per se induces pro-cyclical investment behavior.Die experimentelle Studie untersucht, wie die Bewertung zum Fair Value die Investitionsentscheidung nicht-professioneller Investoren beeinflusst. Dabei wird die Entscheidung, in Aktien einer Bank zu investieren, in Reaktion auf verschieden hohe Bewertungsänderungen der Aktiva Position 'Wertpapiere' der Bank untersucht. Es erfolgt des Weiteren eine differenzierte Betrachtung der Auswirkungen der Fair Value Hierarchie (Level 1-3) auf die Investitionsbereitschaft. Die Resultate zeigen, dass die Investitionsbereitschaft sowohl für negative als auch positive Bewertungsänderungen abnimmt. Die geringste Investitionsbereitschaft wird im Fall von negativen Bewertungsänderungen auf Grundlage beobachtbarer Marktpreise beobachtet (Level 1)

    Pair-Wise Cointegration in Long-Run Growth Models

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    This paper presents a novel theoretical and empirical approach to the analysis of long-run economic growth. It shows that most traditional theoretical models share the feature of pair-wise cointegration among the main variables. An augmented Kaldor model is proposed in contrast to the standard production function. The empirical analysis employs non- stationary panel techniques on two groups of countries to show that pair- wise cointegration exists among GDP, physical capital, human capital, and trade openness
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