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THE ROLE OF TELECOMMUNICATIONS INFRASTRUCTURE IN REGIONAL ECONOMIC GROWTH IN CHINA. Lei Ding Prepared for the Technology, Management & Policy Graduate Consortium, Annual Meeting June 26-28 MIT Cambridge, MA School of Public Policy George Mason University. OUTLINE.
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THE ROLE OF TELECOMMUNICATIONS INFRASTRUCTURE IN REGIONAL ECONOMIC GROWTH IN CHINA Lei Ding Prepared for the Technology, Management & Policy Graduate Consortium, Annual MeetingJune 26-28 MIT Cambridge, MA School of Public Policy George Mason University
OUTLINE • Background: Development of China’s Telecom Sector • Motivation for Research • Research Questions • Literature Review • Methodology and Data • Empirical Results • Conclusions and Implications Teledensity: number of telephones per 100 population
MOTIVATION FOR RESEARCH:Regional Disparity in Growth Performance, 1986-2002
MOTIVATION FOR RESEARCH:ECONOMIC GROWTH IN CHINA • China has grown rapidly over the last two decades from a very low income level. • Average annual GDP growth 1980-2002: 9.5 percent • Average annual per capita GDP growth 1980-2002: 8.2 percent • Large regional disparity in growth performance • Sources of growth • Capital accumulation; labor; TFP growth • Role of infrastructure?
MOTIVATION FOR RESEARCH:P&T Fixed Investment in China, 1975-2003 00- 93-99 80-92 49-79 Source: Based on Statistics on Investment in Fixed Assets of China (1950-2000) (NSB, 2002) and China’s Statistical Yearbook 2001-2003
MOTIVATION FOR RESEARCH:GDP and Teledensity Growth in China, 1975-2002 Sources: China Statistical Yearbook (various years).
MOTIVATION FOR RESEARCH:National GDP Per Capita and Teledensity, 1975-2002 Note: Based on China Statistical Yearbook (various years)
MOTIVATION FOR RESEARCH:Regional GDP Per Capita and Teledensity in China, 2002 Source: Based on China Statistical Yearbook (2003)
DEVELOPMENT OF CHINA’S TELECOM SECTOR: REGIONAL DISPARITY Note: Based on data of 29 regions in china. Tibet and Chongqing excluded because of missing data.
RESEARCH QUESTIONS • Does the difference in telecom infrastructure endowment serve as a significant factor in explaining the growth performance of different regions? • What is the returns to scale for telecommunication investment? In other words, what is the relationship between the magnitude of the effect and prior level of telecommunications infrastructure?
LITERATURE REVIEW: TELECOM INFRASTRUCTURE • Neoclassical growth theory (Solow, 1956; Swan, 1956) • Growth dependent on supply of capital and labor. • Role of telecommunications in facilitating production • A new general-purpose technology • Export-based theory(North, 1975) • Growth dependent on basic production activities . • Role of telecommunications in supporting export ability • Endogenous growth theory (Romer, 1986, 1990; and Lucas, 1988) • Importance of knowledge • Role of telecommunications in accessing and spread of knowledge • Evidence from empirical studies
LITERATURE REVIEW:TELECOM INFRASTRUCTURE • Simple correlation or regression analysis (Jipp, 1963; CCITT, 1968; Hardy, 1980; Cronin, Paker, Colleran and Gold, 1991, 1993; Dholakia and Harlam, 1994; Greenstein and Spiller, 1995; Wang, 1999; Dutta, 2001; Forestier, Grace and Kenny, 2002 ) • Form: • Data: cross-sectional, time-series, cross- sectional-time-series • Limitation: correlation causality; too much simplification • Neoclassical production function (Yilmaz et al, 2001, 2002) • Form: or • Limitation: simultaneity bias; assumed causality
LITERATURE REVIEW:TELECOM INFRASTRUCTURE • Single equation growth model (Norton, 1992; Mody and Wang, 1997; Madden and Savage, 1998; Canning, 1999; Canning and Pedroni, 2004) • Form: • Limitation: aggregate and distant relationships; omission of regional specific effects (cross sectional data) • Structural growth models ((Bebbe and Gllling, 1976; Chen and Kuo, 1985; Roller and Waverman, 2001; Savage, Schlottman, and Wimmer, 2003) • Supply-demand model (Roller and Waverman, 2001) • Two-sector model (Savage et al, 2003) • Limitation: model specification; data
LITERATURE REVIEW:CRITIQUES • Most studies find a positive correlation between telecommunications and economic development. • Development level of samples • Most based on cross country data or regional data of developed countries • Telecom benefits depend on the stage of development • Causality problem • Strong simultaneity between telecom and development • Assumed or asserted causal mechanism • Role of mobile communications • Mobile communications usually not considered in previous studies • Lack of a spatial perspective • The spatial dependence drew little attention in previous studies and its presence may lead to misspecification
METHODOLOGY AND DATAMETHOD • Revised from Islam (1995) and Datta and Agarwal (2004). • Regional growth dependent on prior growth, prior income level and a set of variables reflecting differences in the steady-state equilibrium. • Captures short-run autoregressive behavior. • Allows for differences in the aggregate production function (fixed effect for each region). • A panel data approach for estimation • Other factors influencing growth: X ?
METHODOLOGY AND DATA • A preliminary model • Data • 29 regions for a 17 years period:1986-2002 • Tibet and Chongqing excluded • Screening candidate variables • Four variables excluded due to their statistically insignificance: HC; URBAN; SOE; TRANS
METHODOLOGY AND DATA • Moran’s I statistics of the residues are not significant for most of the years • Spatial dependence issue is not a major concern when we use the fixed-effect model.
METHODOLOGY AND DATA • Final model Notes: t-statistics in parentheses; *** significant at 1% level; ** significant at 5% level; *significant at 10% level
METHODOLOGY AND DATA • A validation test: effect of reverse causality • Introduce lagged values of TEL (TELt-1and TELt-2) to replace current value of TEL in previous model. • Non-linearity: returns to scale • A square term (TELSQ) is introduced in previous model
EMPIRICAL RESULTS Notes: t-statistics in parentheses; *** significant at 1% level; ** significant at 5% level; *significant at 10% level TELt-1 : one-year lag of TEL TELt-2 : two-year lag of TEL
CONCLUSIONS • Strong and positive relationship between telecom infrastructure and regional economic growth. • The positive relationship is not merely due to reverse causality. • An marginal increase in telecommunications infrastructure has a positive and significant impact on regional economic growth and an insufficiency of basic telecom infrastructure indeed constrains economic development. • The size of the effect of telecommunication infrastructure on the economic growth is inversely related to its prior level, “diminishing returns to scale”.
CONCLUSIONS (Continued) • Some evidence for “conditional convergence”: regions with higher levels of GDP per capita tend to grow at a slower rate, at least in the short run. • Fixed investment, foreign investment, and employment rate, have positive and significant effect on growth. • Population growth has a negative and significant effect on growth. • No significant impact of human capital on growth was found.
POLICY IMPLICATIONS • The market mechanism for expanding telecommunications infrastructure might be augmented by specific public policies to guide telecommunications growth in targeted ways. • Regions at an earlier stage of development in China are more likely to gain the most from further investment in telecom infrastructure (Going West!). • Public policies should be designed to stimulate the factors that have a positive impact on the penetration of telecommunications technologies. • Be cautious: “Infrastructure deliver major benefits in economic growth…. , but only when it provides services that respond to effective demand and does so efficiently” (World Bank, 1994).