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Journal articles on the topic 'Country selection'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

Zaremba, Adam. "Combining Equity Country Selection Strategies." Contemporary Economics 11, no. 1 (March 31, 2017): 107–26. http://dx.doi.org/10.5709/ce.1897-9254.231.

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2

Erb, Claude B., Campbell R. Harvey, and Tadas E. Viskanta. "Country Risk and Global Equity Selection." Journal of Portfolio Management 21, no. 2 (January 31, 1995): 74–83. http://dx.doi.org/10.3905/jpm.1995.409504.

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3

Zaremba, Adam. "Country selection strategies based on quality." Managerial Finance 41, no. 12 (December 7, 2015): 1336–56. http://dx.doi.org/10.1108/mf-03-2015-0082.

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Purpose – The purpose of this paper is to examine country-level parallels of the stock-level anomalies related to quality, i.e. profitability, leverage, liquidity, accruals, payout and turnover. Design/methodology/approach – The study uses sorting and cross-sectional tests within a sample of 77 countries over the period of 1999-2014. Findings – Markets populated with low-leveraged and cash-rich companies significantly outperform highly leveraged and cash-poor markets, respectively. The both cross-sectional patterns are stronger across small markets than across large ones. Furthermore, additional sorts on leverage and profitability markedly improve performance of cross-national value strategies. Finally, markets with companies with high-cash holdings earn additional premium in times of tight liquidity conditions. Practical implications – Considering the diminishing benefits of international diversification in recent decades, investors should consider the country-level quality strategies in a strategic asset allocation, and not to postpone them to a later stage of the investment process. Furthermore, investments in cash-rich markets provide a hedge against liquidity distress. Originality/value – The first study to comprehensively examine country-level quality effects across global stock markets.
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4

Kortas, Mohamed, Jean-François L'Her, and Mathieu Roberge. "Country selection of emerging equity markets: benefits from country attribute diversification." Emerging Markets Review 6, no. 1 (April 2005): 1–19. http://dx.doi.org/10.1016/j.ememar.2004.09.002.

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5

Polyakov, Maxim, Vladimir Bilozubenko, Maxim Korneyev, and Gennadiy Shevchenko. "Selection of parameters for multifactor model in the knowledge economy marketing (country level)." Innovative Marketing 15, no. 1 (March 23, 2019): 89–99. http://dx.doi.org/10.21511/im.15(1).2019.08.

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Modern economy is characterized by rapid qualitative and quantitative changes that significantly affect the nature of economic, socio-economic and social relations. Innovative processes and trends are very specific manifestations, which are reflected in the economic and marketing theory. A greater place in science and practice is occupied by the concepts of new economy, knowledge economy, knowledge society. Therefore, the study of knowledge economy marketing becomes more and more relevant.The paper is aimed to develop a technique for selection of the key parameters for building the model of national knowledge economy marketing.For this purpose, it is proposed to conduct a cluster analysis based on aggregated data. Classification of differences between clusters is given. As a result of classification, the authors have identified a group of indicators, which make all clusters distinctive and, first and foremost, determine positions of countries in the global landscape. These indicators are interpreted as key factors of the knowledge economy.Based on the suggested mathematical functions, the authors assessed the value of every key factor within the selected group. It became the second step in selecting the parameters to build a multifactor model of knowledge economy marketing at the national level. The paper also justifies that it is reasonable to use cognitive approach to address challenges in the sphere under consideration. This approach is able to become a sound basis for building the model of national knowledge economy marketing in the form of cognitive map.
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6

Zaremba, Adam, and Przemysław Konieczka. "Do quantitative country selection strategies really work?" Journal of Investment Strategies 5, no. 2 (March 2016): 1–33. http://dx.doi.org/10.21314/jois.2016.068.

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7

Desrosiers, Stéphanie, Natacha Lemaire, and Jean-François L’Her. "Residual Income Approach to Equity Country Selection." Financial Analysts Journal 63, no. 2 (March 2007): 76–89. http://dx.doi.org/10.2469/faj.v63.n2.4523.

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8

Lagakos, David, and Michael E. Waugh. "Selection, Agriculture, and Cross-Country Productivity Differences." American Economic Review 103, no. 2 (April 1, 2013): 948–80. http://dx.doi.org/10.1257/aer.103.2.948.

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Cross-country labor productivity differences are larger in agriculture than in non-agriculture. We propose a new explanation for these patterns in which the self-selection of heterogeneous workers determines sector productivity. We formalize our theory in a general-equilibrium Roy model in which preferences feature a subsistence food requirement. In the model, subsistence requirements induce workers that are relatively unproductive at agricultural work to nonetheless select into the agriculture sector in poor countries. When parameterized, the model predicts that productivity differences are roughly twice as large in agriculture as non-agriculture even when countries differ by an economy-wide efficiency term that affects both sectors uniformly. (JEL J24, J31, J43, O11, O13, O40)
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9

Sullivan, Edgar J. "Importance of Style Diversification for Equity Country Selection." CFA Digest 38, no. 2 (May 2008): 75–77. http://dx.doi.org/10.2469/dig.v38.n2.29.

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10

Keppler, A. Michael. "The importance of dividend yields in country selection." Journal of Portfolio Management 17, no. 2 (January 31, 1991): 24–29. http://dx.doi.org/10.3905/jpm.1991.409327.

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11

Christian, Assamoi Valerie, Yabin Zhang, and Coulibaly Kigbajah Salifou. "Country Selection for International Expansion: TOPSIS Method Analysis." Modern Economy 07, no. 04 (2016): 470–76. http://dx.doi.org/10.4236/me.2016.74052.

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12

Nugroho, Yunanto Adi, Yu Sekiguchi, and Elia Oey. "Export Country Selection with Fuzzy AHP and PROMETHEE." International Journal of Business Excellence 1, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijbex.2019.10021856.

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13

Desrosiers, Stéphanie, Jean-François L'Her, and Jean-François Plante. "Importance of style diversification for equity country selection." Journal of Asset Management 8, no. 3 (September 2007): 188–99. http://dx.doi.org/10.1057/palgrave.jam.2250074.

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14

Schaffner, Julie Anderson. "Heteroskedastic Sample Selection and Developing-Country Wage Equations." Review of Economics and Statistics 84, no. 2 (May 2002): 269–80. http://dx.doi.org/10.1162/003465302317411523.

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15

Tchetagni, Y., and Jl Ngu. "Criteria for Selection of CAPD in a Developing Country." Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 7, no. 2 (April 1987): 110. http://dx.doi.org/10.1177/089686088700700218.

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16

Enke, Ryan C., Edward R. Laskowski, and Kristine M. Thomsen. "Running Shoe Selection Criteria Among Adolescent Cross-Country Runners." PM&R 1, no. 9 (September 2009): 816–19. http://dx.doi.org/10.1016/j.pmrj.2009.07.011.

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17

Zaremba, Adam. "Country selection strategies based on value, size and momentum." Investment Analysts Journal 44, no. 3 (June 25, 2015): 171–98. http://dx.doi.org/10.1080/10293523.2015.1060747.

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18

Rashid, Mamunur. "Bank Selection Criteria in Developing Country: Evidence from Bangladesh." Asian Journal of Scientific Research 5, no. 2 (March 15, 2012): 58–69. http://dx.doi.org/10.3923/ajsr.2012.58.69.

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19

Pawar, Kulwant S., Fahian Anisul Huq, Ahmad Khraishi, and Janat Shah. "Contextualisation of the complexity in the selection of developing country outsourcees by developed country outsourcers." International Journal of Production Research 57, no. 13 (October 7, 2018): 4310–32. http://dx.doi.org/10.1080/00207543.2018.1529444.

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20

Wu, Chong, Fang Huang, Caihong Huang, and Huiming Zhang. "Entry Mode, Market Selection, and Innovation Performance." Sustainability 10, no. 11 (November 15, 2018): 4222. http://dx.doi.org/10.3390/su10114222.

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Recent studies highlighted the need for multi-perspective research on the internationalization and performance of emerging market multinational enterprises (EM-MNEs) and revealed why many EM-MNEs perform negatively when they respond to the host-country environment. Using a sample of listed Chinese manufacturing firms from 2003 to 2014, this study examines the relationship between entry mode choice, which is driven by different environmental response patterns, and firms’ innovation performance. We further analyze the moderating role of market selection on the relationship between host-country institutional factors and firms’ innovation performance. The results show that the international breadth of firms and the economic stability and investment protection of the host country significantly promote firms’ innovation performance. While the entry mode is unilaterally driven by the host-country response, early international experience and the international depth of firms have significant negative effects on firms’ innovation performance. The level of economic development in the invested area plays a moderating role in the relationship between the host-country institutional factors and firms’ innovation performance. Our findings enrich the literature on the relationship between internationalization and EM-MNE performance, and provide inspiring and straightforward empirical evidence.
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21

Langosch, Magdalena, and Justin Tumlinson. "Whom to Acquire – Culture, Country, or Kilometers in Target Selection." Academy of Management Proceedings 2020, no. 1 (August 2020): 21605. http://dx.doi.org/10.5465/ambpp.2020.21605abstract.

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22

Blau, David M. "Self-Employment and Self-Selection in Developing Country Labor Markets." Southern Economic Journal 52, no. 2 (October 1985): 351. http://dx.doi.org/10.2307/1059621.

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23

Akdogan, Haluk. "A Suggested Approach to Country Selection in International Portfolio Diversification." Journal of Portfolio Management 23, no. 1 (October 31, 1996): 33–39. http://dx.doi.org/10.3905/jpm.1996.409571.

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24

Macedo, Rosemary. "Value, Relative Strength, and Volatility in Global Equity Country Selection." Financial Analysts Journal 51, no. 2 (March 1995): 70–78. http://dx.doi.org/10.2469/faj.v51.n2.1883.

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25

Clark, Daniel R., Dan Li, and Dean A. Shepherd. "Country familiarity in the initial stage of foreign market selection." Journal of International Business Studies 49, no. 4 (September 21, 2017): 442–72. http://dx.doi.org/10.1057/s41267-017-0099-3.

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26

Pope, Maurice. "Upon the country — juries and the principle of random selection." Social Science Information 28, no. 2 (June 1989): 265–89. http://dx.doi.org/10.1177/053901889028002002.

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27

Rashid, Nasir. "Offshore Country Selection Risk Management Model: Systematic Literature Review Protocol." IOSR Journal of Computer Engineering 3, no. 4 (2012): 46–55. http://dx.doi.org/10.9790/0661-0344655.

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28

Akee, Randall. "Who Leaves? Deciphering Immigrant Self‐Selection from a Developing Country." Economic Development and Cultural Change 58, no. 2 (January 2010): 323–44. http://dx.doi.org/10.1086/647978.

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29

Au, K. F., W. K. Wong, and X. H. Zeng. "Decision model for country site selection of overseas clothing plants." International Journal of Advanced Manufacturing Technology 29, no. 3-4 (July 6, 2005): 408–17. http://dx.doi.org/10.1007/s00170-005-2505-4.

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30

Enke, Ryan C., and Edward R. Laskowski. "Poster 159: Running Shoe Selection Among Adolescent Cross-Country Runners." Archives of Physical Medicine and Rehabilitation 89, no. 11 (November 2008): e71. http://dx.doi.org/10.1016/j.apmr.2008.09.209.

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31

Godlewski, Christophe J., and Laurent Weill. "Does Collateral Help Mitigate Adverse Selection? A Cross-Country Analysis." Journal of Financial Services Research 40, no. 1-2 (December 3, 2010): 49–78. http://dx.doi.org/10.1007/s10693-010-0099-y.

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32

Khoury, Nabil, Jean-Marc Martel, and Pierre Yourougou. "A multicriterion approach to country selection for global index funds." Global Finance Journal 5, no. 1 (June 1994): 17–35. http://dx.doi.org/10.1016/1044-0283(94)90012-4.

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33

Nie, Guangli, Haizhen Yang, Ying Wang, Wenjing Chen, and Jing Yu. "Decision support for target country selection of future generation sovereign wealth funds: Hedging the country industry risk." Procedia Computer Science 1, no. 1 (May 2010): 2499–507. http://dx.doi.org/10.1016/j.procs.2010.04.282.

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34

Ahmad, Syed Zamberi, F. Robert Buchanan, and Norita Ahmad. "Examination of students’ selection criteria for international education." International Journal of Educational Management 30, no. 6 (August 8, 2016): 1088–103. http://dx.doi.org/10.1108/ijem-11-2014-0145.

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Purpose – Motivations for study abroad in tourism and hospitality were examined as to the influence of a variety of personal criteria in the individual decision process of adult learners to select a host country and host institution of study. The paper aims to discuss this issue. Design/methodology/approach – Push-pull factors (Mazzarol and Soutar, 2002) formed the basic framework of inquiry. Quantitative analysis was done through primary data collection using hard copy surveys. Qualitative inquiry involved interviews with open-ended questions. Findings – Country attractions of the host location was the highest ranked decision criteria, followed by considerations of the educational institution. Research limitations/implications – Prestige and reputation of the education provider is of high value. However, greater decision influence was seen in respondents’ selection of host country for the attributes of safe and pleasant living conditions, as well as on going career opportunities locally. Sampling was cross-sectional and limited to one industry and one country. Although these are natural control variables, generalizability may be limited, and requires further study. Originality/value – Policymakers should be mindful of the match between the educational program and the site selection. Prestige of the school may not overcome a suboptimal location decision.
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35

Vasiliauskienė, Monika, and Dalia Daujotaitė. "PERFORMANCE AUDIT: A CROSS-COUNTRY COMPARISON OF PRACTICES OF SELECTED SUPREME AUDIT INSTITUTIONS." Business: Theory and Practice 20 (August 29, 2019): 352–62. http://dx.doi.org/10.3846/btp.2019.33.

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This study aims to present the conceptual framework of performance audits impact that support our investigation of the process of selection performance audit topics at Supreme audit institutions (SAIs) level. The results of the study include the technique for choosing performance audit topics used by the Lithuanian SAI and the SAI of the Netherlands. The data were gathered using case studies and semi-structured in-depth interviews with the field experts. The results of the study demonstrated a range and the complexity of the arguments underlying the selection of the topic for performance audits: there are no mandatory requirements or standards governing the process; therefore, every SAI chooses its own path. Each SAI applies specific performance audit topics selection methods determined by their original long-term practical experience. Selecting right topics for performance audit is a task of crucial importance for each SAI. Gathering information about all areas and making a decision where to perform an audit is an important part of strategic research efforts. Data collection is a lengthy process that takes place throughout the year. Each SAI has a framework for strategic and annual planning that has clearly set deadlines, uses a transparent qualified and/or quantified approach to ranking risks/audit proposals, and is based on the criteria relating to materiality, topicality, feasibility and added value.
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36

Liu, Dachang. "Multi-factor Consideration in Selection of a Capital for a Country." Asian Social Science 13, no. 7 (June 23, 2017): 150. http://dx.doi.org/10.5539/ass.v13n7p150.

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Selection of a capital is of critical importance to security and stability of a country and consolidation of its regime. In selection of the capital in all Chinese dynasties over the past, what the governors usually take into account contained a variety of factors, such as, the strategic military position of a city, its economic development, its traffic convenience condition, its ethnic relations, etc. The same is true with other countries. Consideration of multi-factors is an inevitable route in selection of a capital. With development of the time and swift increase of population, capitals of some countries might be encountered with contradictions between population resources and environmental pressure and political functions. To resolve these contradictions, these countries, one after another, take different measures by moving their capitals elsewhere and decomposing functions. To the end of give play to the political function of a capital and maintain the integration capacity of a country, it is a must to pay attention to and deal with the issue of capital.
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37

Beim, Gina, and Moren Lévesque. "Country Selection for New Business Venturing: A Multiple Criteria Decision Analysis." Long Range Planning 39, no. 3 (June 2006): 265–93. http://dx.doi.org/10.1016/j.lrp.2006.06.001.

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38

Rahman, Mohammad Anisur, and Xu Qi. "Global Supply Chain Management of RMG Outsourcing: Factors Affecting Country Selection." International Journal of Business and Management 11, no. 8 (July 20, 2016): 241. http://dx.doi.org/10.5539/ijbm.v11n8p241.

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<p>This paper aims to understand factors determining location decision, or country selection of Readymade Garments (RMG) outsourcing in global supply chain management. In the process, this article fills a knowledge gap by proposing a unique model that relates country determinant factors and firm’s motives to location choice specific for RMG outsourcing moderated by firm’s size and age. The overall framework enlightens the scholars about the significance of distinguishing factors as the basis for differential outsourcing location decisions. Multinational managers may find it useful to identify the optimum outsourcing location decisions considering idiosyncratic factors that are unique to RMG outsourcing location decision. </p>
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39

Horn, Daniel. "Age of selection counts: a cross-country analysis of educational institutions." Educational Research and Evaluation 15, no. 4 (July 23, 2009): 343–66. http://dx.doi.org/10.1080/13803610903087011.

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40

Wyatt, Larry. "High School Choral Literature Selection Composers, Genres and Country of Origin." Update: Applications of Research in Music Education 7, no. 2 (March 1989): 8–9. http://dx.doi.org/10.1177/875512338900700204.

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41

Bartelsman, Eric, John Haltiwanger, and Stefano Scarpetta. "Cross-Country Differences in Productivity: The Role of Allocation and Selection." American Economic Review 103, no. 1 (February 1, 2013): 305–34. http://dx.doi.org/10.1257/aer.103.1.305.

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This paper investigates the effect of idiosyncratic (firm-level) policy distortions on aggregate outcomes. Exploiting harmonized firm-level data for a number of countries, we show that there is substantial and systematic cross-country variation in the within-industry covariance between size and productivity. We develop a model in which heterogeneous firms face adjustment frictions (overhead labor and quasi-fixed capital) and distortions. The model can be readily calibrated so that variations in the distribution of distortions allow matching the observed cross-country moments. We show that the differences in the distortions that account for the size-productivity covariance imply substantial differences in aggregate performance. (JEL D24, L25, O47)
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42

Salimans, Tim. "Variable selection and functional form uncertainty in cross-country growth regressions." Journal of Econometrics 171, no. 2 (December 2012): 267–80. http://dx.doi.org/10.1016/j.jeconom.2012.06.007.

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43

Acosta-González, Eduardo, and Fernando Fernández-Rodríguez. "Model selection via genetic algorithms illustrated with cross-country growth data." Empirical Economics 33, no. 2 (October 6, 2006): 313–37. http://dx.doi.org/10.1007/s00181-006-0104-3.

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44

Swoboda, Bernhard, Sandra Schwarz, and Frank Hälsig. "Towards a conceptual model of country market selection: Selection processes of retailers and C&C wholesalers." International Review of Retail, Distribution and Consumer Research 17, no. 3 (July 2007): 253–82. http://dx.doi.org/10.1080/09593960701368820.

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45

Chen, Xuekuan, Phillip Jackson, Wankuan Shen, Haihua Deng, Yuanhong Fan, Qiwei Li, Fengduo Hu, Xianming Wei, and Jiayong Liu. "Genotype×environment interactions in sugarcane between China and Australia." Crop and Pasture Science 63, no. 5 (2012): 459. http://dx.doi.org/10.1071/cp12113.

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Sugarcane improvement has traditionally been conducted by nationally focussed breeding programs, with some exchange of elite cultivars among some programs. It has been generally assumed by breeders that genotype × country interactions are large, and therefore selection trial data in one country may be of limited relevance to another. However, no studies quantifying clone × country interactions have been reported to our knowledge. In research reported here, a common set of mostly unselected sugarcane genotypes was evaluated in commercial production environments in Australia and China. Consistent with past studies, genotype × site interaction was an important source of variation within each country. Overall a moderate to high genetic correlation existed between production environments in China and Australia for cane yield and sugar content (0.77 for both traits). This suggests that despite difference in environmental conditions and crop management in production environments between countries, that selection trials in China have some relevance for selecting clones for Australian environments and vice versa. It also supports the hypothesis that regular exchange of selected germplasm from effective breeding programs between countries will have mutual benefits.
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46

Emmer, Pieter. "Migration and Selection." European Review 16, no. 4 (October 2008): 499–504. http://dx.doi.org/10.1017/s1062798708000343.

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Over the past forty years our ideas about migration have changed dramatically. In fact, I know of hardly any other aspect of our daily lives that has seen such a complete reversal of appreciation. Until the 1970s, immigration was something to be proud of. Over the past few decades though, we seem to have forgotten that it is far better to live in a country that people are queuing to enter rather than one that they are desperate to leave. In fact, the modern migrant and the present-day smoker have something in common: both have become outcasts almost overnight. In the Netherlands, we even have coined a new term in order to express our dislike of the modern migrant: ‘fortune seeker’. That word seems somehow to make him or her different from, and less desirable than, the classic migrant of the past centuries.
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47

Kurnawal, Mr Gaurav P. "Site Selection for Greenfield Domestic Airport for Pandharpur City." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 30, 2021): 2983–93. http://dx.doi.org/10.22214/ijraset.2021.37015.

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India is a developing country in numerous sectors like Agriculture, Transportation, Education, and Infrastructure. Last one-decade excellent changes in the transportation field, now nation focus on airway transportation development. Airway plays a vital role in economic development of a country. The aim of research is to identify best location for setting up Greenfield Domestic Airport for Pandharpur City. Selection of the best location is primarily based on various parameters and that parameters mapping by using Delphi and Analytic hierarchy process strategies. From the complete analysis select the best location for airport.
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48

Pryce, J. E., B. Gredler, S. Bolormaa, P. J. Bowman, C. Egger-Danner, C. Fuerst, R. Emmerling, J. Sölkner, M. E. Goddard, and B. J. Hayes. "Short communication: Genomic selection using a multi-breed, across-country reference population." Journal of Dairy Science 94, no. 5 (May 2011): 2625–30. http://dx.doi.org/10.3168/jds.2010-3719.

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49

Zhang, Jing, and Amir Pezeshkan. "Host Country Network and International Partner Selection: Evidence from Venture Capital Industry." Academy of Management Proceedings 2013, no. 1 (January 2013): 14023. http://dx.doi.org/10.5465/ambpp.2013.14023abstract.

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50

Hofmann, Erin Trouth. "Choosing Your Country: Networks, Perceptions and Destination Selection among Georgian Labour Migrants." Journal of Ethnic and Migration Studies 41, no. 5 (June 26, 2014): 813–34. http://dx.doi.org/10.1080/1369183x.2014.930660.

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