Gotowe bibliografie tematyczne / Non-farm employment

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Gotowa bibliografia na temat „Non-farm employment”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Non-farm employment"

Olugbire, O.O, A.O. Falusi, A.I Adeoti, A.S Oyekale, and O.A Adeniran. "NON-FARM INCOME DIVERSIFICATION AND POVERTY REDUCTION IN NIGERIA: A PROPENSITY-SCORE MATCHING ANALYSIS." Continental J. Agricultural Science 5, no. 3 (2011): 21–28. https://doi.org/10.5281/zenodo.840059.

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In this paper, we investigate the impact of non-farm employment (disaggregated by wage- and self-employment) on household income and poverty. Using a propensity score matching model, we evaluate the differences in outcomes between households who participate in the non-farm employment and those who do not. The results from the study show that non-farm wage-employed households in rural Nigeria have a significantly higher income than self-employed households. Second, we show that non-farm wage-employment impacts more on household welfare than non-farm self-employment. Third, we show that the bene

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Jagdambe, Subhash, C. P. Shiji, S. P. Subash, and S. J. Balaji. "Effect of Non-farm Employment on Farm Commercialization." Indian Journal of Economics and Development 14, no. 1a (2018): 302. http://dx.doi.org/10.5958/2322-0430.2018.00075.6.

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Chen, Lili, Jiquan Peng, and Yibei Zhang. "Research on the Impact of Rural Land Transfer on Non-Farm Employment of Farm Households: Evidence from Hubei Province, China." International Journal of Environmental Research and Public Health 19, no. 23 (2022): 15587. http://dx.doi.org/10.3390/ijerph192315587.

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Agricultural scale operations and industrialization promote the transfer of the rural labor force to the industry sector, and the non-farm employment of farmers plays a great role in increasing their income and reducing poverty. It is of great significance to explore the non-farm employment of farmers for the governance of relative poverty and the achievement of common prosperity. The propensity score matching (PSM) and generalized propensity score matching (GPSM) were used to analyze the impact of rural land transfer on farm households’ non-farm employment. According to the PSM estimation, co

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Li, Jinning, Shunfeng Song, and Guanglin Sun. "Non-Farm Employment, Farmland Renting and Farming Ability: Evidence from China." International Journal of Environmental Research and Public Health 19, no. 9 (2022): 5476. http://dx.doi.org/10.3390/ijerph19095476.

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In the process of China’s urbanization, non-farm employment and farmland rental activity are closely correlated. Using data from a survey on rural households in three Chinese provinces, this article examines the relationship between farmland renting activity and non-farm employment with simultaneous equations that consider the farming ability of farmers. Our results are fourfold. First, farmland renting-out promotes non-farm employment, while farmland renting-in reduces non-farm employment. Second, non-farm employment encourages farmland renting-out and decreases farmland renting-in. Third, fa

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Sinha, Archana. "Farm sector, non-farm employment and rural livelihood: A study." Social Change 37, no. 1 (2007): 50–76. http://dx.doi.org/10.1177/004908570703700104.

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Choudhury, Biswajit. "Rural non-farm employment opportunities in Assam." ACADEMICIA: An International Multidisciplinary Research Journal 9, no. 8 (2019): 21. http://dx.doi.org/10.5958/2249-7137.2019.00088.0.

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Sun, Jingjing, Jie Li, and Yue Cui. "Does Non-Farm Employment Promote Farmland Abandonment of Resettled Households? Evidence from Shaanxi, China." Land 13, no. 2 (2024): 129. http://dx.doi.org/10.3390/land13020129.

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The de-agrarianisation of the labor force in the poverty alleviation resettlement (PAR) inevitably influences households’ farmland management and farmland abandonment in the relocated areas. Drawing on survey data from 1079 households in Shaanxi, China, this study uses the Heckman two-stage model to empirically examine the relationship between non-farm employment and farmland abandonment in relocated areas. Additionally, it explores heterogeneity by considering the quantity and spatial distribution of non-farm employment, as well as the moderating effect of the withdrawal of rural homesteads (

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Li, Chaozhu, Xiaoliang Li, and Wei Jia. "Non-Farm Employment Experience, Risk Preferences, and Low-Carbon Agricultural Technology Adoption: Evidence from 1843 Grain Farmers in 14 Provinces in China." Agriculture 13, no. 1 (2022): 24. http://dx.doi.org/10.3390/agriculture13010024.

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Guiding and encouraging farmers to adopt low-carbon agricultural technologies is highly significant for reducing greenhouse gas emissions, mitigating climate change, and achieving agricultural production development and food security. This study used survey data from 1843 grain farmers in 14 provinces of China to empirically analyze the impact of non-farm employment experience and risk preferences on grain farmers’ low-carbon agricultural technology (LCAT) adoption. The results show that for grain farmers: (1) non-farm employment experience significantly promoted the adopting of LCAT. The prob

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Kumar, Mukesh, Azeema Begam, and Nargis Noman. "TRANSITION IN RURAL ECONOMY: AN EMPLOYMENT PERSPECTIVE." Journal of Social Sciences and Humanities 59, no. 1 (2020): 51–73. http://dx.doi.org/10.46568/jssh.v59i1.325.

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The process of transition in rural economy has been observed with the deepest and fastest structural transformation from farm to non-farm sector in Pakistan. The structure and composition of labour market is also undergoing such considerable changes due to increasing share of the non-farm sector. Given this insight, the study assesses the change in rural economy particularly relying on population and migration trend and employment transition. The descriptive analysis of the study reveals that thereis declining trend in migration from rural to urban areas with a considerable transition in emplo

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Debbage, Keith Graham, and Shaylee Bowen. "Non-farm proprietorship employment by US metropolitan area." Journal of Enterprising Communities: People and Places in the Global Economy 12, no. 2 (2018): 139–57. http://dx.doi.org/10.1108/jec-07-2017-0043.

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Purpose The entrepreneurial process is a result of an interaction between an individual entrepreneur and the surrounding entrepreneurial ecosystem. The purpose of this paper is to determine whether US metropolitan areas with disproportionately high shares of entrepreneurs are systematically linked to particular attributes of the entrepreneurial support system? Design/methodology/approach In this paper, non-farm proprietorship (NFP) employment data from the US Bureau of Economic Analysis is used as a dependent variable proxy for entrepreneurship. NFP data are widely used in the entrepreneurship

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Rozprawy doktorskie na temat "Non-farm employment"

Sherchand, Bageshwari. "Determinants of non-farm self-employment in rural Virginia." Thesis, Virginia Tech, 1994. http://hdl.handle.net/10919/42103.

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This research uses primary cross-sectional non-farm-household data collected from Virginia’s non-metropolitan areas for the 1989 year. The primary objective of this research is to identify the factors that influence the probability of being self-employed. Using an effective sample of 851 household heads, a model consisting of two dichotomous probit equations are specified and developed to determine the statistically significant factors that influence, first, the probability of labor force participation, and then the likelihood of being self-employed. The probit equations are estimated by the m

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Mwachofi, Ari K. "A comparative study of rural Virginia farm and non farm household labor supply." Diss., Virginia Tech, 1995. http://hdl.handle.net/10919/39506.

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This study compares rural Virginia two-adult farm and non-farm household labor supply on two levels: (1) labor market participation and (2) variations in labor supply to the market and to the home. The study develops three models: a selection model, a wage rate model, and a labor supply model. Estimation is performed with data collected from rural Virginia by the Virginia Agricultural Statistical Service in 1989 and by North American Research in 1990. The estimates of the selection equations indicate significant differences in the effects of human capital and unearned income on labor market a

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Correa, Daniel Traxler Greg. "Determinants of rural non-farm employment and income in Paraguay." Auburn, Ala., 2008. http://hdl.handle.net/10415/1555.

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Harbaugh, Isabel. "Non-farm Rural Employment in Latin America: Help Small Landowners Make the Transition." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/cmc_theses/682.

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For many of Latin America’s small farmers, a future in agriculture may be short lived. Due to increasing mechanization, land consolidation, and globalization, the demand for agricultural labor is declining, and small landowners are feeling the brunt of this change. Given this reality, the non-farm rural economy should become a much greater priority on the rural development agenda. Many non-farm positions demonstrate significant potential for poverty alleviation, but these jobs often present substantial barriers to entry. In order for smallholders to access these positions rather than low-skill

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Mathbor, Golam Mohammed. "Dynamics and prospects of non-farm employment in the coastal regions of Bangladesh." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22711.

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The coast of Bangladesh, comprising the complex delta of the Ganges-Brahmaputra-Meghna river system has immense resources for development. In the concept of present development efforts, this zone is among the most neglected in Bangladesh. It is very often affected by natural calamities and the situation is further aggravated by some man-made hazards, which cause heavy casualties in human lives, cattle, in reducing the size of the coastal areas and in severe damage of properties worth billions of dollars. This thesis envisages looking into the particular issue of non-farm employment. This is mo

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Liu, Xiaofeng. "Employment, output and structure in China's rural non-farm sector : a long-run analysis." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319352.

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Surintaraseree, Pimjai. "Doing more with less : impacts of non-farm employment on rice production in Northeastern Thailand." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=40449.

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A field survey was conducted in eight villages in Northeastern Thailand to examine the impact of non-farm employment on rice production during the 1994-95 crop year. This study uses the human ecology approach based on the conceptual framework of Duncan's (1959) ecological complex. This study found that participation in non-farm employment directly affects whether the household will produce rice, but its impacts vary according to the extent of participation. Full-time employment, particularly with the yearlong absence of the male head of household, appears to inhibit rice production because it

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Mecharla, Prasada Rao. "Distress diversification or growth linkages? : explaining rural non-farm employment variations in Andhra Pradesh, India." Thesis, University of Sussex, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323049.

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Bila, Aniceto Timóteo. "The role of non-farm sources of income in rural poverty alleviation in the Boane disrict of Mozambique." Diss., 2004. http://hdl.handle.net/2263/24900.

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Please read the abstract in the section 00front of this document<br>Dissertation (M Inst Agrar (Agricultural Economics))--University of Pretoria, 2006.<br>Agricultural Economics, Extension and Rural Development<br>unrestricted

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Chambati, Walter S. S. "Changing agrarian labour relations in Zimbabwe in the context of the fast track land reform." Thesis, 2019. http://hdl.handle.net/10500/26800.

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This thesis examined the evolution and transition of agrarian labour relations in the aftermath of Zimbabwe‘s radical land redistribution, which reconfigured the agrarian structure in terms of landholdings, production practices and labour markets from 2000. Despite the importance of agrarian labour as source of livelihood for the largely countryside based population, insufficient academic attention has been paid to its evolution following the land reforms. Specifically to the mobilisation, organisation and utilisation of wage and non-wage labour against background of the changed land ownership

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Książki na temat "Non-farm employment"

P, Purushotham, and National Institute of Rural Development (India), eds. Rural non-farm employment. National Institute of Rural Development, 2004.

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Rao, M. Koteswara. Globalization and rural non-farm employment. SSDN Publishers & Distributors, 2015.

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Gopalappa, D. V. Rural non-farm employment in Karnataka. Agricultural Development and Rural Transformation Unit, Institute for Social and Economic Change, 2004.

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1957-, Koteswara Rao M., ed. Rural employment: The non-farm sector. Deep & Deep Publications, 2000.

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Singh, Ajit Kumar. Agrarian change, non--farm employment and poverty. Giri Institute of Development Studies, 2011.

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Hewavitharana, Buddhadasa. Rural non-farm employment: Problems, issues & strategies. Institute of Policy Studies, 1992.

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Vaidya, C. S. Rural non-farm employment in Himachal Pradesh. Agro-Economic Research Centre, Himachal Pradesh University, 2004.

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Institute of Applied Manpower Research (India), ed. Annotated bibliography on rural non-farm employment. Institute of Applied Manpower Research, 1996.

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Dunham, David M. Rural non-farm employment: Some conceptual issues. Institute of Policy Studies, 1988.

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Rao, M. Prasada. Rural non-farm growth: Sign of farm success or failure? Serials Publications, 2006.

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Części książek na temat "Non-farm employment"

Harbaugh, Isabel. "Promoting Non-Farm Employment." In Smallholders and the Non-Farm Transition in Latin America. Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137487162_4.

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Tiwari, Meera, and Alan Mercer. "Poverty and Non-Farm Employment in LDCs." In Operational Research and the Social Sciences. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0789-1_30.

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Das, Upasak, and Udayan Rathore. "Shift of rural work force from farm to non-farm employment." In Indian Agriculture after the Green Revolution. Routledge, 2017. http://dx.doi.org/10.4324/9781315268538-11.

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Dhara, Aparajita, and Biswajit Chatterjee. "Non-farm Employment Among Rural Women: Trend and Determinants." In Women's Entrepreneurship and Microfinance. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4268-3_5.

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Mishra, Nripendra Kishore. "Employment and Livelihood Potential of Rural Non-farm Informal Enterprises." In India Studies in Business and Economics. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6443-3_14.

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Michailidis, Anastasios, and D. Lazaridou. "Non-farm Employment: A Key Challenge to Achieve Zero Hunger." In Encyclopedia of the UN Sustainable Development Goals. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-95675-6_33.

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Michailidis, A., and D. Lazaridou. "Non-farm Employment: A Key Challenge to Achieve Zero Hunger." In Encyclopedia of the UN Sustainable Development Goals. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69626-3_33-1.

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Vijverberg, Wim P. M. "The Impact of Schooling and Cognitive Skills on Income from Non-Farm Self-Employment." In The Economics of School Quality Investments in Developing Countries. Palgrave Macmillan UK, 1999. http://dx.doi.org/10.1007/978-1-349-15032-8_6.

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Muqtada, Muhammed. "Alternative Approaches to Full Employment in Bangladesh: Role of the Rural Non-farm Sector." In Quest for Inclusive Growth in Bangladesh. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7614-0_6.

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Sugimoto, Daizo. "Impact of Non-Farm Employment on Landholding Structures in Punjab: Comparison of Three Villages." In Industrial Clusters, Migrant Workers, and Labour Markets in India. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137408778_5.

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Streszczenia konferencji na temat "Non-farm employment"

Abdiyeva, Raziya, Burulcha Sulaimanova, and Kamalbek Karymshakov. "Gender Differences, Risk Attitude and Entrepreneurship in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c09.01965.

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This study analyses the role of risk attitude for entrepreneurship by gender differences in Kyrgyzstan. Multinomial probit analysis is applied to the data set drawn from the nationally representative survey “Life in Kyrgyzstan” for 2011. Entrepreneurship is measured through the agricultural and non-agricultural sample. Results of the study show that more risk taking preferences are associated with higher entrepreneurship probability. However, this effect is not persistent for women in further estimations for non-agricultural entrepreneurship sample, while for men higher positive effect of risk

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Raporty organizacyjne na temat "Non-farm employment"

Roth, Vathana, Abdelkrim Araarz, Bopharath Srey, and Dalis Phann. The Dynamics of Microcredit Borrowings in Cambodia. Cambodia Development Resource Institute, 2017. https://doi.org/10.64202/wp.112.201703.

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This study uses panel data collected in 11 villages in 2011-14 to investigate the impact of microcredit on paddy harvest and income, input costs for paddy production, and self-employment income. The panel data make it possible to implement difference-in-differences and triple-differences estimators. The results show that credit participants have a 26.1 percent increase in paddy income, a 68.9 percent increase in paddy harvest and a 26.5 percent increase in expenditure on farm inputs. Poorer households benefit more from credit participation. Participants can also acquire more nonland durable as

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Diwakar, Vidya, and Richard Bwalya. Poverty and Wellbeing in Zambia: Pandemic Update. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/cpan.2024.001.

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This study attempts to provide a descriptive assessment of the reasons behind the increase in poverty witnessed in Zambia between 2015 and 2022. Although poverty in Zambia is more pronounced in rural than urban areas, the increase in poverty was much higher in urban areas. This increase may be at least partly explained by a confluence of factors, including load shedding, the Covid-19 pandemic, which considerably negatively affected businesses and employment, and the effect of rising prices, which also put pressure on households’ purchasing power. There were also dramatic increases in certain p

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Barham, Tania, Marco Stampini, Karen Macours, Teresa Molina-Millan, and John A. Maluccio. Long-term Impacts of Conditional Cash Transfers in Latin America: Review of the Evidence. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011768.

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We review the literature on the long-term impacts of Conditional Cash Transfer (CCT) programs in Latin America. Long-term impacts are defined as those that both: 1) are related to the accumulation of human capital, and; 2) are observed after beneficiary children have reached a later stage of the life-cycle. We focus on two life-cycle transitions. The first is children exposed to CCTs in utero or early childhood, who have then transitioned to school ages. The second is children exposed to CCTs during school ages, who have then transitioned to early adulthood. The evidence is inconclusive. The e

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Un, Leang, Somolireasmey Saphon, and Serey Sok. Gender Analysis of Survey on Cambodia’s Young and Older Generation: Family, Community, Political Knowledge and Attitudes, and Future Expectations. Cambodia Development Resource Institute, 2019. https://doi.org/10.64202/wp.117.201909.

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Cambodia, following more than two decades of impressive economic performance and development, is fast becoming one of Asia’s new tiger economies. Sustained robust GDP growth of over 7 percent has supported improvements in physical infrastructure (economic and social) and substantial poverty reduction. This economic improvement, mostly made possible by rapid manufacturing (garment industry), construction and tourism growth, is paving the way for rapid urbanisation. The pace of urbanisation combined with demographic change, improved access to education, and widespread internet use is playing a s

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