Role of Financial Development in Total Factor Productivity

Role of Financial Development in Total Factor Productivity THE ROLE OF FINANCIAL DEVELOPMENT IN TOTAL FACTOR PRODUCTIVITY OF VIETNAM’S MANUFACTURING SECTOR Thesis Research Design Instructors: Team of MDE Lectures Student:Hà ¡Ã‚ »Ã¢â‚¬Å" Bà ¡Ã‚ ºÃ‚ £o Trà ¢n 1. Problem statement There is a large literature about the link between financial development and economic growth. Many studies indentify that productivity as one channel through which finance affects growth. The importance of financial development in raising productivity and promoting economic growth has been discussed in many reports (e.g., Goldsmith 1969; McKinnon 1973; Shaw 1973; Greenwood and Jovanovic 1990; Bencivenga and Smith 1991). The financial system pressure handicaps financial development and results in misallocation of resources, then reduce productivity and economic growth. As the financial systems develop well, overall economic productivity will be improved through the efficient reallocation of resources. At firm level, financial development of a firm allows a firm to appropriate new business opportunities, conduct investment and research activities, make a defense against financial and non-financial shocks and achieve higher productivity. More importantly, firm productivity is an essenti al indicator in transforming financial market development to economic growth at macro level. There are also many empirical studies about the impact of financial development on productivity efficiency. Levine (2005), Beck et al. (2005) point out that financial constraints, including low liquid and limited access to financial resources, make the growth prospect of firms worse. In Vietnam, manufacturing firms play an important role in the decade of economic growth. In 2013, there are 60700 businesses closed. There are many reasons such as long loss profit, management capacity, operating restrictions and lack of funds business†¦ In which, financial market development offers a crucial impetus for enhancing firm competitiveness and catalyzing industrialization. In Vietnam the scientific research using a panel data to find out the role of financial development in total factor productivity of Vietnam’s manufacturing sector is limited. This study will present the evidence of this linkage using panel data for manufacturing firms from 2003 to 2009. 2. Research objective 2.1. Research objectives To estimate the TFP growth rate of manufacturing sector To find the role of financial development in total factor productivity of Vietnam’s Manufacturing Sector. To give policy implication for improving firm productivity 2.2. Scope of the study The study will examine the role of financial development in total factor productivity of Vietnam’s Manufacturing Sector using the panel data of 2003, 2005, 2007, and 2009. 3. Literature review 1. Productivity: Concepts and measurements Productivity is commonly defined as a ratio of a volume measure of output to a volume measure of input use (Schreyer and Pilat 2001) or in other words, how much of output which is obtained from a given set of inputs (Syverson 2010). Productivity = Quantity of outputs produced/ Quantity of inputs consumed Productivity measurement efforts to point out improvements in using the capital resources, that is, to motivate and evaluate efforts to produce more inputs with fewer inputs while maintaining quality. TFP is used to measure the firm productivity. It captures the growth, which could not be explained by changes in production inputs, thus it can serve as a traditional proxy of productivity improvement. However, there is a correlation between unobservable productivity shocks and optimal choices of input. There are at least two approaches to measure the TFP, which account for the sensitive of optimal input levels to the productivity shocks. First approach is the Olley-Pakes TFP measurement which uses investment as a proxy for productivity shocks (Olley and Pakes 1996). Another approach is the Levinsohn-Petrin TFP measurement which uses intermediate inputs as a proxy for productivity shocks (Levinsohn and Petrin 2003). In this study, I will use the Levinsohn-Petrin TFP measurement to control for the unobservable productivity shocks because of three reasons. Firstly, the dataset of firm investment is not available, thus the the Olley-Pakes TFP measurement will not be feasible. Secondly, even if the investment data is available, the estimation can be suffered from the truncated report â€Å"zero† investment of firms. Finally, the Levinsohn-Petrin TFP measurement is more acceptable than the Olley-Pakes TFP measurement because of it is built from production theory. Assuming a Cobb-Douglas function, TFP is often computed by estimating the equation: yit = ÃŽ ²0 + ÃŽ ²llit + ÃŽ ²kkit + ωit + ÃŽ µit (1) Where yit is firm’s output, lit is firm’s labor, kit is firm’s capital; y, l, k are all in the nature logarithm forms. i and t denote firm and time. ωit is a state variable, which measures productivity. ÃŽ µit is an error or a random productivity shock. Both ωit and ÃŽ µit are unobservable variables. According to Olley and Pakes (1996), the OLS estimates of (1) can be biased because choice of variable inputs can be depended on the firms’ beliefs about the state variable ωi. If there is serial correlation in ωi, the variable inputs such as labor, materials, etc will be positively correlated with ωi. In order to control the bias in OLS estimates, they suggest the following partially linear model: yit = ÃŽ ²0 + ÃŽ ²llit + ÃŽ ²kkit + ht(iit, ait, kit) +ÃŽ µit (2) in which ωit =ht(iit, ait, kit), ait is age of firm i at time t, iit is investment of firm i at time t. The unobservable variable ωit can be expressed by a function of observable variables. Levinson and Petrin (2003) point out that investment data at firm level is very lumpy (there are considerable adjustment costs). If it is true, the investment proxy will not smoothly respond to productivity shock. It violates the consistency condition. They propose the following modified model: yit = ÃŽ ²0 + ÃŽ ²llit + ÃŽ ²kkit + ÃŽ ²mmit + ωit + ÃŽ µit (3) mit is the logarithm of the intermediate inputs such as raw material, power, and electricity expenditures. Its input demand mit depends on the capital variable kit and productivity ωit mit = mt (kit, ωit) The demand of intermediate inputs mit is assumed to be monotonously increasing with ωit. It can be used as a proxy for unobservable variables. Therefore, the unobservable productivity ωit is expressed by the function of two variables kit and mit. ωit = mt (kit, mit) Substituting above equation to equation (3), the production function can be estimated. The coefficients of kit and mit can be recovered by GMM method with assumption that productivity is controlled by a first-order Markov process. ωit = E[ωit/ωit-1] + ÃŽ ·it ÃŽ ·it is an innovation to productivity which can be correlated with labor but uncorrelated with capital. The logarithm TFP of firm can be obtained from the residual of actual output and predicted output. 2. Financial development and firm productivity The important role of financial development in raising productivity and promoting economic growth has been mentioned in many public researches. In traditional growth theories, the role of financial development in growth is through factor accumulations, which are regarded as the main force behind economic growth. Financial development can contribute to total factor productivity growth by increasing marginal productivity of capital (Goldsmith 1969). According to McKinnon and Shaw (1973), financial development also can improve efficiency of capital allocation so as to increase the aggregate saving rate and investment level. However, in traditional growth model, the impact of financial development on growth is limited due to diminishing return to scale of capital. Some recent researches also highlight the relationship between financial development and productivity growth. Jeanneney, Hua and Liang (2006) analyze data from 29 Chinese provinces and find out that financial development has contributed significantly to TFP growth through its positive effect on efficiency in the period from 1993 to 2001. Dabla-Norris, Kersting and Verdier (2010) use firm level dataset and find out that the positive effect of innovation on firm productivity is contributed from financial system. Firms enjoy the maximum benefits from innovation in countries with well-developed financial system. Minjia Chen (2012) examine a panel dataset of Chinese manufacturing firm from 1998 to 2007 also show that financial factors are highly essential to firms’ total factor productivity growth. At micro level, financial development affects productivity growth by various channels. A firm with better financial health tends to bring higher productivity level. Beck et al (2005) suggest that firm with high liquidity is expected to be resilient to financial and non-financial shocks. Similarly, entrance to large external finance can help a company reduce the level of credit constraints, therefore increase their ability and existence in the market (Aghion et al 2007; Levine 2005). 4. Overview of Vietnam SMEs In Decree 90/2001 ND-CP from 2001 to 2009, SME is defined as an independent business establishment which registered capital not exceeding 10 billion VND or annual average number of workers not exceeding 300. From 2009 up to now, SME is defined as: Small and medium enterprises are business establishment which have registered their business according to the law and are divided into three levels of size: very small, small and medium depend on the sizes of their total capital or their average number of workers (total capital is the priority standard). In term of size of employees, nearly 98.34% of firms are small or medium enterprises in 2012. These firms contributed to 40-60% GDP of Vietnam and over a half of total labors in 2011. SME has important role in Vietnam economy. The SME survey has been conducted by the Central Institute for Economic Management (CIEM), the Institute of Labour Science and Social Affairs (ILSSA) under the Ministry of Labour, Invalids and Social Affairs of Vietnam (MoLISA) and the Development Economics Research Group (DERG) of the University of Copenhagen. The research group selects ten provinces including: Hanoi, Hai Phong, Ho Chi Minh City (HCMC), Ha Tay, Phu Tho, Nghe An, Quang Nam, Khanh Hoa, Lam Dong and Long An. The sample covers around a third of manufacturing firms in Vietnam and seems to be the best quality to represent the characteristics of SMEs in Vietnam. 5. Methodology 5.1. Model Model: TFPit = ÃŽ ±0 + ÃŽ ±1 TFPi,t-1 + ÃŽ ±2 ln LIQUIDITYit + ÃŽ ±3 ln LEVERAGEit + ÃŽ ±4 ln SIZEit + ÃŽ ±5 ln AGEit + ÃŽ ±6 ln COMit + ÃŽ ±7 ln HUMANKit + ÃŽ ±8 ln FOWNit + uit Where i and t are index firm and time, respectively, uit is the stochastic error term. The lagged TFP variable is important due to Levinson and Petrin (2003) estimation method. The authors assume that firm productivity follows a first-order Markov process. Therefore, the lagged TFP variable must be taken in the model for controlling the serial correlation. About the variables of financial development at firm level, my econometric specification contains two proxies of a firm’s financial quality: liquidity (LIQUIDITYit) and leverage ratio (LEVERAGEit). A firm with better financial health tends to bring higher productivity level. Beck et al (2005) suggest that firm with high liquidity is expected to be resilient to financial and non-financial shocks. Similarly, entrance to large external finance can help a company reduce the level of credit constraints, therefore increase their ability and existence in the market (Aghion et al 2007; Levine 2005). Besides, we also control for several firm-specific characteristics to examine firm productivity performance. Firms’ size (SIZEit) intends to control for the impacts of economies of scale on firm productivity (Balk 2001). Firms’ size (SIZEit) and Firms’ age (AGEit) have been found to be linked to firms’ productivity (e.g. Palangkaraya, Stierwald and Yong, 2009) and are used widely in analyzing firm productivity. Oliner and Sichel (1994; 2000) indicate high-tech capital intensity (COMit) as another determinant of TFP. High-tech capital accumulation has been proven to be an essential factor for raising productivity by improving operational efficiency, profits and, finally, productivity growth (Siegel and Griliches 1992). Another determinant should be considered that is human capital intensity. Since the 1990s, developing countries in Asia, including Vietnam, have been focused on investing human capital, e.g education and training, to achieve higher economic growth. Therefore, it may be interest to estimate the extent of human capital intensity account for TFP. The last important determinant of firm productivity is mentioned widely in many researches of Arnold and Javorcik (2009), Benfratello and Sembenelli (2006), Germa et al. (2004) and Griffith (1999) is foreign ownership (FOWNit). These researches suggest that foreign owned firms are potential to have superior managers, information network and ease to connect international market. Therefore, foreign firms are supposed to get higher productivity than domestic firms. 5.2. Research hypotheses Hypothesis H1: Financial quality (liquidity ratio) will have positive relationship with firm productivity. A firm with high liquidity tends to bring higher productivity level. Hypothesis H2: Financial quality (leverage ratio) will have positive influence on firm productivity. 5.3. Data sources All data sources are available at the Survey of Small and Medium scale manufacturing enterprises (SMEs) in Vietnam, from 2003 to 2009. It gives data about production and financial characteristics of firms such as gross revenue, capital, number of labors, materials, profits, liquid assets, fixed assets, liabilities, equity†¦ The measurement of TFP: requires information on a firm’s gross output and production inputs. Net output is measured by net sales of manufactured goods. There are three inputs in the empirical model: labor, capital and intermediate materials. Labor is the number of employees working for a company. Intermediate materials include components used in the manufacturing process. Capital is measured by the value of land, building as well as machinery, equipment, excluding the depreciation of assets. Financial development variables: First variable is liquidity, which is measured by the ratio of liquid assets to total assets. Second variable is leverage ratio that is measured by the ratio of liabilities to equity. Control variables: Firm size is measured by the total sales of a firm. Firm age is measured by the number of years a firm in operating. If a firm goes in an industry for less than one year, it is set up for zero. High-tech capital accumulation is measured by the number of computers used for each worker. The proportion of skilled labor to total workers of a firm serves as the proxy of human capital investment. Finally, the ratio of investment capital undertaken by foreign parties relative to the total registered capital is used as a proxy of foreign ownership. Finally, the ratio of actual investment capital of foreign parties compared to the total registered capital is served as a proxy of foreign ownership. References: Aghion, P., T. Fally, and S. Scarpetta. 2007. Credit Constraints as a Barrier to the Entry and Post-entry Growth of Firms. Economic Policy 22: 731–119. Arnold, J.M., and B.S. Javorcik. 2009. Gifted Kids or Pushy Parents? Foreign Direct Investment and Plant Productivity in Indonesia. Journal of International Economics 79: 42–53. Balk, B.M. 2001. Scale Efficiency and Productivity Change. Journal of Productivity Analysis 15: 159–183. Beck, T., A. Demirguc-Kunt, and V. Maksimovic. 2005. Financial and Legal Constraints to Firm Growth: Does Firm Size Matter? Journal of Finance 60: 137–177. Bencivenga, Valerie R. and Bruce D. Smith, (1991), Financial intermediation and endogenous Control Unobservables†, Review of Economic Studies, Vol. 70, No. 2, 317-41. Benfratello, L., and A. Sembenelli. 2006. Foreign Ownership and Productivity: Is the Direction of Causality So Obvious? International Journal of Industrial and Organization 24: 733–751. Dabla-Norris, Kersting and Verdier, (2010), Firm productivity, innovation and financial development, International Monetary Fund. Girma, S., H. Gà ¶rg, and E. Strobl. 2004. Exports, International Investment, and Plant Goldsmith, Raymond W. 1969. Financial Structure and Development. New Haven, Conn: Yale University Press. Greenwood, Jeremy and Bruce D. Smith, (1997), Financial markets in development, and the development of financial markets. Journal of Economic Dynamics and Control 21: 145-81. Review of Economic Studies 58: 195-209. Griffith, R. 1999. Using the ARD Establishment Level Data to Look at Foreign Ownership and Productivity in the United Kingdom. Economic Journal 109: F416–F442. Levine, R. 2005. Finance and Growth: Theory and Evidence. In Handbook of Economic Growth Vol. 1, pp. 865–934, edited by P. Aghion and S. Durlauf. Amsterdam: North-Holland. Levinsohn, J., and A. Petrin. 2003. Estimating Production Functions Using Inputs to control for Unobservables. Review of Economic Studies 70: 317–341. Minjia Chen, (2010), Financial Effects and Firm Productivity: Evidence from Chinese Manufacturing Data. Oliner, S., and D. Sichel. 1994. Computers and Output Growth Revisited: How Big Is the Puzzle? Brooking Papers on Economic Activity 1994: 273–334. Oliner, S., and D. Sichel. 2000. â€Å"The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?† Journal of Economic Perspectives, Vol. 14, pp. 3–22. Olley, S., and A. Pakes. 1996. The Dynamics of Productivity in the Telecommunications Equipment Industry. Econometrica 64: 1263–1289. Palangkaraya, A., Stierwald, A. and Yong, J. (2009), â€Å"Is Firm Productivity Related to Size and Age? The Case of Large Australian Firms†, Journal of Industry, Competition and Trade, Vol. 9, No. 2, 167-95. Performance: Evidence from A Non-parametric Test. Economics Letters 83: 317–324. Schumpeter, Joseph A, (1911), The Theory of Economic Development. Cambridge Mass: Harvard University Press. Siegel, D., and Z. Griliches. 1992. Purchased Services, Outsourcing, Computers, and Productivity in Manufacturing. National Bureau of Economic Research Working Paper 3678; Output Measurement in the Service Sector, edited by Z. Griliches. Chicago: University of Chicago Press. Sylviane Guillaumont , Jeanneney, Ping Hua Zhicheng Liang, (2006), Financial Development, Economic Efficiency, And Productivity Growth: Evidence from China, The Developing Economies, Institute of Developing Economies, vol. 44(1), pages 27-52. Thangavelu, Shandre M., (2013), Financial Health and Firm Productivity: Firm-level Evidence from Viet Nam, ADBI Working Paper Series. Zhenhui, Sudeshna, (2013), Financial Development and Total Factor Productivity: Evidence from India’s manufacturing sector, Georgia College State University.

Dentist Essay -- essays research papers

The Trip to the Dentist Office   Ã‚  Ã‚  Ã‚  Ã‚  Thinking to myself, is there any way I could jolt back in my car and head back for home, I enter the tall thin tan colored brick building and walk over to the elevator, hoping that the last half hour of scrubbing my teeth to death pays off. Nervously, I push the up button and patiently wait. The elevator door promptly opens and I am engulfed, the door closes, up I go. Once on the second floor, I exit the elevator and immediately I can smell the mixture of the wintergreen flavored tooth paste and the overwhelming aroma of bleach out in the hall, along with the sound of the teeth grinding drills which gives, no longer the feeling of the dentist office but of road construction area. With the opening of the outer door, the blast of cool air hits me giving a feeling of being naked in the cold brutal winter. I walk in and add my name to the list on the long sign in sheet. â€Å"Andrew,† the slim silver haired woman behind the winter white frosted glass slide wind ow, sees me and lets me know that the dentist will be ready in a split second.   Ã‚  Ã‚  Ã‚  Ã‚  While I wait hesitantly for the dental assistant in her crisp clean creme colored uniform to announce my name, I look at the tiny tropical turquoise splashed fish in the large crystal clear tank sitting in the corner of the room. The sleek silent fish dart about playing hide and seek with the plastic mermaid figure sunken deep at the bottom of the tank wit...

Blue Ocean Martix – Genentech

WK3Assgn2ANeddermeyer General Discussion a. Create a â€Å"measurement matrix† in Excel that identifies, categorizes, and ranks as many relevant performance measurements as you think are important to your chosen company's business strategy. b. Write a one- to two-paragraph summary of why you think these are the important measurement criteria and why you've ranked them in the order you have. Categries| Rank| Quality| 1 – High Prority| People| 2- Medium Priority| Safety| 3 – Low Priority| Growth|   | Measurement| Category| Rank/Priority| Employee Satisfaction| People| 1| Workplace Safety/Injury incidence| Safety| 1|Number of current patents| Growth| 2| Medications in the pipeline| Growth| 1| Excess Medications in warehouse| Growth| 1| Employee Attrition rate| People| 1| FDA Approvals for indications| Growth| 1| FDA denials for indications| Growth| 1| Sales| Growth| 1| Customer feedback| Quality| 1| Effectiveness of treatments| Quality| 1| Sustained customer base (%loyal customers)| Quality| 1| Waste of supplies| Quality| 1| Research & Development products| Growth| 1| % of market share| Growth| 1| % of staff Qualitifcations completed| Safety| 1| Successful regulatory surveys| Quality| 1| Net income| Growth| 1| Revenue| Growth| 1|Ranking in industry| Growth| 1| Litigation volume| Growth| 2| Project timelines for product development| Growth| 1| Timeline for drug manufacturing| Growth| 1| Operating Margin| Growth| 1| Workman Compensation cases opened/closed| Safety| 1| Identification of metrics is a fundamental component of measuring the effectiveness of a business plan or a strategic plan. Metrics help organizations understand the current business climate, the competitive positioning and assists in planning. I did not realize the level of difficulty in the selection of metric until thinking about which metrics would be important to the business I selected.Genentech Inc is Biotechnology Company comprised of scientific professionals, sale staff, researchers, administrative staff and educators. Patents and exclusivity of the manufacturing of the medications, large volume drug sales, and a robust research/development program drives the company to succeed. In addition to the aforementioned metrics, I also selected workplace safety and injury rates as additional metrics because of the potential lost revenue from having to retain placement staff or costs associated with payments to injured staff.Much of my selection was based on some of the categories indicated in Hess’ description of worthwhile metrics. I struggled with the prioritization portion of this assignment as I felt most of the metrics needed to be identified as a high priority performance indicator. Reference Attaway, F. (2012). Organic growth interview. Obtained from Walden University Coursework. Schulz, W. C. (2007), Towards a More Precise SWOT Analysis: SCOT Analysis & Competitive Potential, Unpublished Teaching Note. (5p) Hess, E. D. (2007). The road to or ganic growth: How great companies consistently grow marketshare from within. New York: McGraw-Hill.

Diversity Of The Health Care System - 1635 Words

Diversity in the Healthcare Setting Healthcare, ever changing, has advanced to an era of progression in which it is becoming more and more common for radical change in all varieties of aspects of the process within which the health care system runs to occur. For many of us, there is the ever so present idea that constant change is necessary not only to stay competitive in regards to any other competitors in the same field of service, but also to also provide groundbreaking and innovative equalized opportunities and treatment of all. As modern day society becomes increasingly aware and active on the topic of equality, it is important for health care providers to remember that it is essential for there to be diversity within the culture imbedded in healthcare delivery systems. Many of the reasons that make the issue of culture a topic worth mentioning include, but are not limited to, the potential positive and/or negative impacts culture and diversity can have on the healthcare deliver y system, the importance in staying up to date and staying competitive with other healthcare systems, and the internal factors that have a hold in the change of culture and whether or not it can be successfully maintained within the health care organization. As stated by B.E. Smith’s article Leadership Diversity: The Path to Value-Based Care, â€Å"Increasing the racial, ethnic, gender and generational diversity of health care leadership is essential for the provision of culturally competent,Show MoreRelatedCultural Diversity For The Health Care System1640 Words   |  7 Pagesto adopt multiculturalism as a national policy (Government of Canada, 2012). Since then, Canadians have prided themselves on being accepting of cultural diversity and recognizing equal rights for all citizens, regardless of country of origin (Government of Canada, 2012). However, cultural diversity presents challenges for the health care system as people of various cultures have different expectations and requirements of healthcare (De Miao Kemp, 2010). This is not an issue that is unique to CanadaRead MoreDiversity Report On Northwell Health1502 Words   |  7 PagesDiversity Report on Northwell Health I. Introduction New York is one of the most diverse cities in the world. There are many cultures, races; languages mixed together creating â€Å"culturally diverse pot†. â€Å"Diversity is the existence of a wide variety of cultures and subcultures represented within a society† (CCN, 2016). For this project I selected Northwell Health System to audit because there are many offices and clinics around area where I live (it is extremely diverse area) and I decided to knowRead MoreHealth Care Research Paper910 Words   |  4 Pagescannot afford acute care, but they nevertheless can go to any emergency room and be treated. But the inability to pay for chronic care can be, in many cases, an absolute bar to securing that care. In Canada and in Germany, accessibility in the â€Å"ability to afford† sense is far greater than in the United States. In neither country will an individual ever be unable to afford necessary health care, because of the robust system of government subsidies that is in place. In the German system, some householdsRead MoreAddressing Cultural Competence For Improving Healthcare Quality1605 Words   |  7 PagesImproving diversity in health care setting is important in patient care. Cultural competence is approach to enhancing healthcare delivery that has been promoted broadly in recent years. By definition cultural competence in health care describes the ability of systems to provide care to patients with diverse values, beliefs and behaviors, including tailoring delivery to meet patients’ social, cultural, and linguistic needs (Betancourt, Green, Carrillo, 2002) .The increasing diversity across theRead MoreDiversity Is The Changing Demographics And Economics Of Our Growing Multicultural World1309 Words   |  6 Pages Concept paper By Masereh Jallow Topic: Diversity in Nursing Page 1 Topic: Diversity in Nursing Diversity: The changing demographics and economics of our growing multicultural world, and the long-standing disparities in the health status of people from culturally diverse backgrounds has challenged health care providers and organizations to consider cultural diversity as a priority. Culture is one of the organizing concepts upon which nursing isRead MoreThe Differences Between Diversity, Assumptions And Ethnocentrism So You Can Gain Understanding, Acceptance And Respect1529 Words   |  7 Pagesduties to provide ethical, safe care for the patients they look after. The patient population is becoming increasingly diverse and nurses need to understand and learn how to deal with the diversity. All of our patients are different and will need different care. Accommodating diversity will be easier with knowledge and experience and will make a difference in how we provide that care. If nurses can work together, we can make a difference in the health care system by not making assumptio ns, learningRead MoreApplying Anthropology to Nursing Essay1130 Words   |  5 Pagesbehavior, social life, and health within an anthropological context. It provides a forum for inquiring into how knowledge, meaning, livelihood, power, and resource distribution are shaped and how, in turn, these observable facts go on to shape patterns of disease, experiences of health and illness, and the organization of treatments. It focuses on many different topics including the political ecology of disease, the interface of the micro- and macro-environments that affect health, the politics of responsibilityRead MoreCulture and Diversity: Understanding Disparities in Health Programs1273 Words   |  5 PagesCulture and Diversity: Understanding Disparities in Health Programs This essay reviews key concepts of culture and diversity in the context of their role in causing and/or making worse disparities in health programs. Key Points on Health Program Planning For individuals to be healthy requires the combination of varying levels of physical, mental and social well-being throughout a persons lifetime. Most people find that maintaining their health requires a certain amount of effort and intentionRead MoreThe Culture Diversity Theory For Nursing Essay1483 Words   |  6 Pages The Culture diversity theory Providing culturally competent nursing care begins with having basic principle knowledge and effective training us a nursing student. Madeleine Leininger’s Theory of Culture Care Diversity and Universality defines nursing as a learned scientific and humanistic profession that focuses on patient care, experiences and creative thinking relevant to nursing and health care system. As nurse student in today’s society you will come in contact with a lot of cultural differencesRead MoreReflection On Diversity865 Words   |  4 Pagessuccess through furthering my education. Everything I bring to the table adds to the spectrum of diversity. Growing up I always felt different. The elementary school I attended , I always could recognize where I differed from everybody else. My hair, my skin tone, my gap (before the braces), and especially height. It wasn’t easy but the older I became, I learned to embrace every aspect of me. Diversity to me is what you bring to the table ( age, gender, sexual orientation, race, skills, etc.) that