Role of Financial Development in Total Factor Productivity

Role of mo meshary organic evolution in Total Factor ProductivityTHE ROLE OF FINANCIAL DEVELOPMENT IN full FACTOR PRODUCTIVITY OF VIETNAMS MANUFACTURING SECTORThesis look DesignInstructors Team of MDE LecturesStudentH Bo Trn1. Problem avermentThere is a large literature rough the link between pecuniary development and economic branch. Many studies indentify that productiveness as one fetch through which finance affects growth. The importance of fiscal development in raising productiveness 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 monetary system pressure handicaps financial development and results in misall(a)ocation 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 theater level, financial develo pment of a firm allows a firm to portion new business opportunities, conduct investing and research activities, make a defense against financial and non-financial shocks and achieve higher productivity. More importantly, firm productivity is an inbred indicator in transforming financial market development to economic growth at macro level. There are also many empirical studies ab forbidden 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(prenominal) as long loss profit, management capacity, operating restrictions and lack of funds business In which, financial market development offers a crucial impulsion for enhancing firm competiti veness and catalyzing industrialization.In Vietnam the scientific research using a panel selective information to find out the role of financial development in fare factor productivity of Vietnams 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 quarry2.1. Research objectivesTo estimate the TFP growth rate of manufacturing sectorTo find the role of financial development in hit factor productivity of Vietnams Manufacturing Sector.To take a shit policy implication for improving firm productivity2.2. Scope of the studyThe study will examine the role of financial development in total factor productivity of Vietnams Manufacturing Sector using the panel data of 2003, 2005, 2007, and 2009.3. Literature review1. Productivity Concepts and measurementsProductivity is commonly defined as a ratio of a volume measure of output signal to a volume measure of input use (Schreyer and Pila t 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 consumedProductivity measurement efforts to point out improvements in using the capital resources, that is, to motivate and approximate efforts to produce more inputs with fewer inputs while maintaining quality.TFP is apply to measure the firm productivity. It captures the growth, which could not be explained by changes in production inputs, thus it can litigate as a traditional substitute 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 history for the sensitive of optimal input levels to the productivity shocks. kickoff 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 subordination 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 adherence can be suffered from the truncated report 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 frequently computed by estimating the equivalenceyit = 0 + llit + kkit + it + it (1)Where yit is firms output, lit is firms labor, kit is firms capital y, l, k are all in the nature logarithm forms. i and t denote firm and time. it is a state variable, which measures product ivity. it is an error or a random productivity shock. both(prenominal) it and it are unobservable variables. match 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 i. If there is serial correlation in i, the variable inputs such as labor, materials, etc will be positively correlated with i. In order to control the bias in OLS estimates, they offer the following partially linear modelyit = 0 + llit + kkit + ht(iit, ait, kit) +it (2)in which it =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 it 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 pr opose the following modified modelyit = 0 + llit + kkit + mmit + it + it (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 itmit = mt (kit, it)The demand of intermediate inputs mit is assumed to be monotonously increasing with it. It can be used as a proxy for unobservable variables. Therefore, the unobservable productivity it is expressed by the function of two variables kit and mit.it = 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.it = Eit/it-1 + itit is an inception 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 productivityThe important role of financial development in raising productivity and promoting economic growth has been mentioned in many humans researches. In traditional growth theories, the role of financial development in growth is through factor accumulations, which are regarded as the main force can 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 ou t 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. blind drunks 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 alive(p) to financial and non-financial shocks. Similarly, entrance to large external finance can help a go with reduce the level of credi t constraints, therefore increase their index and existence in the market (Aghion et al 2007 Levine 2005).4. Overview of Vietnam SMEsIn 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 sizing very small, small and medium depend on the sizings 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 economical Managem ent (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 somewhat a third of manufacturing firms in Vietnam and seems to be the best quality to represent the characteristics of SMEs in Vietnam.5. Methodology5.1. ModelModelTFPit = 0 + 1 TFPi,t-1 + 2 ln LIQUIDITYit + 3 ln LEVERAGEit + 4 ln SIZEit + 5 ln AGEit + 6 ln COMit + 7 ln HUMANKit + 8 ln FOWNit + uitWhere 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 TF P 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 firms 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. upstandings size (SIZEit) intends to control for the impacts of economies of scale on firm productivity (Balk 2001). steadfastlys size (SIZEit) and Firms age (AGEit) have been found to be linked to firms productivi ty (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 resea rches suggest that foreign owned firms are voltage 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 hypothesesHypothesis 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 sourcesAll 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, frozen assets, liabilities, equityThe measurement of TFP requires information on a firms gross output and production inputs. Net output is measured by net sales of ma nufactured goods. There are three inputs in the empirical model labor, capital and intermediate materials. Labor is the number of employees working for a company. talk terms 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, t he 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.ReferencesAghion, P., T. Fally, and S. Scarpetta. 2007. Credit Constraints as a Barrier to the Entry and Post-entry Growth of Firms. Economic Policy 22 731119.Arnold, J.M., and B.S. Javorcik. 2009. intelligent Kids or Pushy Parents? Foreign Direct Investment and Plant Productivity in Indonesia. Journal of world-wide Economics 79 4253.Balk, B.M. 2001. Scale ability and Productivity Change. Journal of Productivity Analysis 15 159183.Beck, T., A. Demirguc-Kunt, and V. Maksimovic. 2005. Financial and Legal Constraints to Firm Growth Does Firm coat Matter? Journal of Finance 60 137177.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 733751.Dabla-Norris, Kersting and Verdier, (2010), Firm productivity, innovation and financial development, International Monetary Fund.Girma, S., H. Grg, and E. Strobl. 2004. Exports, International Investment, and PlantGoldsmith, Raymond W. 1969. Financial Structure and Development. bran-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 makeup Level Data to Look at Foreign Ownership and Productivity in the United Kingdom. Economic Journal 109 F416F442.Levine, R. 2005. Finance and Growth Theory and Evidence. In Handbook of Econom ic Growth Vol. 1, pp. 865934, 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 317341.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 273334.Oliner, S., and D. Sichel. 2000. The Resurgence of Growth in the novel 1990s Is Information Technology the Story? Journal of Economic Perspectives, Vol. 14, pp. 322.Olley, S., and A. Pakes. 1996. The Dynamics of Productivity in the Telecommunications Equipment Industry. Econometrica 64 12631289.Palangkaraya, A., Stierwald, A. and Yong, J. (2009), 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 Evid ence from A Non-parametric Test. Economics Letters 83 317324.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 Indias manufacturing sector, Georgia College State University.