资源依赖、地理区位与城市经济增长

本文利用中国城市面板数据,探讨了资源依赖、地理区位与城市经济增长之间的相互关系。研究发现,在控制了地理区位因素之后,资源依赖与城市经济增长之间依然呈现反相关关系,"资源诅咒"在城市层面同样存在。同时,地理区位与自然资源依赖对城市经济增长存在显著的联合影响,距离重要港口城市、中心大城市和三大经济区域中心城市越近,城市经济增长对自然资源的依赖越低,其经济增长越好,优越的地理区位能够减轻资源依赖导致的"资源诅咒"效应。最后,我们的分析也表明,通过降低人力资本投资意愿,阻碍FDI流入,弱化民营经济增长等渠道,资源丰裕导致的资源依赖阻碍了城市的经济增长。     

资源型城市经济增长——资源的“诅咒”还是距离的“暴政”

从资源依赖视角来看,在非资源型城市资源依赖与人均GDP增长率正相关;在资源型城市资源依赖与人均GDP的增长率负相关。从各城市的地理位置来看,中部地区城市和西部地区城市资源依赖与人均GDP的增长率之间呈现倒U型关系。但是,东部地区城市资源依赖与人均GDP的增长率之间呈现J型关系,"资源诅咒"在东部地区城市中并没有出现。     

How Robust is the Growth-Openness Connection? Historical Evidence

Previous literature has established a positive correlation between openness to international trade and GDP per capita growth for developed and developing economies in recent decades. However, looking at historical evidence from 1870 to the present, this paper finds no support for a positive growth-openness connection before 1970. In fact, the correlation is negative for the period 1920–1940. Cross-country growth regressions estimated for the period 1920–1990 suggest that the positive correlation between openness and growth is only a recent phenomenon. The paper provides useful conclusions regarding the robustness not only of the openness variables but also of other growth determinants.     

Inequality and economic growth: the role of initial income

We estimate a panel model where the relationship between inequality and GDP per capita growth depends on countries’ initial incomes. Estimates of the model show that the relationship between inequality and GDP per capita growth is significantly decreasing in countries’ initial incomes. Results from instrumental variables regressions show that in Low Income Countries transitional growth is boosted by greater income inequality. In High Income Countries inequality has a significant negative effect on transitional growth. For the median country in the world, that in the year 2015 had a PPP GDP per capita of around 10000USD, IV estimates predict that a 1 percentage point increase in the Gini coefficient decreases GDP per capita growth over a 5-year period by over 1 percentage point; the long-run effect on the level of GDP per capita is around ??5%.     

Unit and fractional roots with deterministic trends in the UK output

In this article, the nominal, real, and real per capita GDP series are modeled in the UK by means of fractionally integrated techniques. A version of the tests of Robinson [1994] are used that permits the incorporation of deterministic trends with no effect on the standard (normal) limit distribution of the tests. The results show that the nominal GDP appears to be nonstationary and non-mean reverting, with its order of integration being much higher than 1. The real GDP also appears to be nonstationary and the order of integration fluctuates widely between 0.6 and 1.2. Finally, the real per capita GDP seems to be stationary, either I(0) or I(d), with D positive but close to 0.     

Do Natural Resources Depress Income Per Capita?

Most evidence for the resource curse comes from cross‐country growth regressions suffers from bias originating from the high and ever‐evolving volatility in commodity prices. These issues are addressed by providing new cross‐country empirical evidence for the effect of resources in income per capita. Natural resource dependence (resource exports) has a significant negative effect on income per capita, especially in countries with bad rule of law or bad policies, but these results weaken substantially once we allow for endogeneity. However, the more exogenous measure of resource abundance (stock of natural capital) has a significant negative effect on income per capita even after controlling for geography, rule of law and de facto or de jure trade openness. Furthermore, this effect is more severe for countries that have little de jure trade openness. These results are robust to using alternative measures of institutional quality (expropriation and corruption instead of rule of law).     

The impact of the credit crisis on poor developing countries: Growth,worker remittances,accumulation and migration

We show that the credit crisis of OECD countries has a negative impact on the growth of the world economy according to an error-correction model including China and Australia. This causes negative growth effects in poor developing countries. The reduced growth has a direct or indirect impact on the convergence issue, aid, remittances, labour force growth, investment and savings, net foreign debt, migration, tax revenues, public expenditure on education and literacy. We estimate dynamic equations of all these variables using dynamic panel data methods for a panel of countries with per capita income below $1200 (2000). The estimated equations are then integrated to a dynamic system of thirteen equations for thirteen variables that allows for highly non-linear baseline simulations for these open economies. Then we analyze the effects of transitional shocks as predicted by the international organizations for the OECD and world growth for 2008 and 2009. Whereas growth rates return to the baseline scenario until 2013 with overshooting for China and Australia, the level of the GDP per capita shows permanent effects, which are positive only for China. In the poor countries, investment, remittances, savings, tax revenues, public expenditure on education, all as a share of GDP as well as literacy and the GDP per capita, are reduced compared to the baseline until 2087 where our analysis ends. Investment, emigration and labour force growth start returning to baseline values between 2013 and 2017. GDP per capita and tax revenues start returning to baseline around 2040. Education variables do not return to baseline without additional effort.     

Stochastic convergence of per capita carbon dioxide emissions and multiple structural breaks in OECD countries

This research applies an innovative panel data stationarity testing procedure developed by Carrion-i-Silvestre et al. [Carrion-i-Silvestre, J.L., Barrio-Castro, T.D. and Lopez-Bazo, E., 2005. Breaking the panels: An application to the GDP per capita, Econometrics Journal 8, 159–175.], which has the advantage of recognizing multiple structural breaks and the presence of cross-section dependence in order to re-investigate the hypothesis that per capita carbon dioxide (CO₂) emissions stochastically converge for 21 OECD countries from 1950 to 2002. Remarkably, the evidence clearly indicates that the panel dataset of relative per capita CO₂ emissions is stationary after the structural breaks and cross-sectional dependence are introduced into the model. These findings offer strong policy implications for governments, regardless of whether they are in “convergent group” or “divergent group” countries. We also find that the structural breaks in the 1960s and over the 1970–1982 period are associated with time periods of fossil fuel becoming the main source of productivity, higher oil prices, and the development of nuclear power.     

Regime types,ideological leanings,and the natural resource curse

While many consider institutional quality as a central explanatory variable when finding what causes the variance in per capita GDP growth performance of resource-abundant countries, this paper attempts to focus on more structural factors: regime type and its ideological approaches to economic policy. Several joint effects of natural resource abundance and regime type on growth are found. The natural resource curse is likely to be more severe in authoritarian regimes than democratic regimes. Among democracies, it is found that the natural resource curse is more salient in presidential regimes than in parliamentary regimes. This paper also suggests that the natural resource curse is more likely when a certain type of democratic regime coincides with a particular ideological orientation of the regime with respect to economic policy. Presidential democracies with left-wing economic policy are found to be least growth enhancing among the combinations between regime type and its economic ideology offered, given similar levels of natural resource abundance.     

Explaining Differences in Economic Growth among OECD Countries

This paper re-examines the determinants of growth of GDP per capita using panel data for OECD countries for the period 1970–1999 with data averaged over five-year periods from new perspectives. First, we introduce indicators of innovation input and technological specialization simultaneously into the empirical growth equation. Second, we employ the system-GMM (Generalized-Method-of-Moments) panel estimator that controls for (a) the possible specification bias when variables are highly persistent over time and (b) the possible simultaneity bias. We find a large and statistically significant impact of business enterprise R&D (BERD) intensity on GDP per capita with an elasticity of 0.22. The share of high-technology exports is also significantly positively related to GDP per capita, but the magnitude suggests that BERD is more important than technological specialization in explaining the level of GDP per capita. Furthermore, we find that the budget deficit and government consumption (both measured as percentages of GDP) and the volatility of growth are significantly negatively related to GDP per capita.The authors would like to thank Gunther Tichy for helpful comments on an earlier draft of this article. We also thank the participants of the Austrian economic association conference (NOEG) and the Empirical Industrial Organization workshop at the WU WIEN for helpful comments. We gratefully acknowledge financial support from the OeNB Jubiläumsfonds Project and the Austrian Federal Ministry for Economy and Labor (BMWA).JEL codes: E62, H20, H50, O23, O40     

县域经济增长中结构红利的测度及决定 ——基于中国1 820个县面板数据的实证分析

产业结构升级是经济增长的源泉之一。本文基于中国1 820个县的面板数据，采用Translog生产函数估计要素弹性，进而测度县域经济增长中的结构红利，同时构建空间误差计量模型对结构红利的影响因素进行检验。研究结果表明2002-2010年间，结构红利占县域GDP总值的444%，对县域GDP增长的贡献达到了2435%。劳均资本、劳均土地等变量对结构红利有显著影响，本文还发现，在东部、中部、西部三个地区，财政支出占GDP的比重对结构红利都有显著的负向影响。     

Technological innovations and economic prosperity: A time series analysis

Using a univariate decomposition of per capita real GDP into its permanent trend and irregular components, the objective of this paper is to measure, rank, and compare the relative importance of the major technological innovations of the past two centuries as measured by their contribution to the growth rate of real per capita GDP. The paper uses the growth model and Beveridge and Nelson’s (1981) univariate decomposition method to measure and to compare the economic impact of random technological shocks, as measured by the average increase in real per capita GDP during sub-periods of major technological advancements.     

Worker remittances,migration, accumulation and growth in poor developing countries: Survey and analysis of direct and indirect effects

A broad but brief survey of the literature on remittances and growth shows that indirect effects are only included via interaction terms. Then, we regress data for migration, worker remittances, savings, investment, tax revenues, public expenditure on education, interest rates, literacy, labor force growth, development aid and GDP per capita growth on migration, remittances and other variables for a panel of countries with income below $1200. The estimated dynamic equations are integrated to a system used for baseline simulations. Comparison with the counterfactual policy simulations ‘only 50% remittances’ or ‘no net migration anymore’ shows that the total effect of remittances on levels and growth rates of GDP per capita, investment and literacy are positive, and that of net migration is negative for literacy and investment but positive for growth.     

2000—2005年我国省际经济增长差异及其因素分解

以经合组织(OECD)分析区域经济增长的方法为基础,测算了2000-2005年中国大陆31个省级行政单位GDP的变化,并分解为资本效率、人均资本、专业化、就业率、活跃人口等几因子.比较了各省区经济增长的差异及原因,并且进行了归类.结果显示,对所有省份而言,人均资本的增加是CDP增长的最重要推动因素,资本效率下降是重要的障碍;专业化具有明显的省际差异;就业率、活跃人口在多数省份为正面的影响,然而影响较小.     

The Lost Decades: Developing Countries' Stagnation in Spite of Policy Reform 1980–1998

I document in this paper a puzzle thathas not received previous attention in the literature. In 1980–98,median per capita income growth in developing countries was 0.0percent, as compared to 2.5 percent in 1960–79. Yet I documentin this paper that variables that are standard in growth regressions—policieslike financial depth and real overvaluation, and initial conditionslike health, education, fertility, and infrastructure generallyimproved from 1960–79 to 1980–98. Developing countrygrowth should have increased instead of decreased according tothe standard growth regression determinants of growth. The stagnationseems to represent a disappointing outcome to the movement towardsthe ``Washington Consensus' by developing countries. I speculatethat worldwide factors like the increase in world interest rates,the increased debt burden of developing countries, the growthslowdown in the industrial world, and skill-biased technicalchange may have contributed to the developing countries' stagnation,although I am not able to establish decisive evidence for thesehypotheses. I also document that many growth regressions aremis-specified in a way similar to the Jones (1995) critique thata stationary variable (growth) is being regressed on non-stationaryvariables like policies and initial conditions. It may be thatthe 1960–1979 period was the unusual period for LDC growth,and the 1980–98 stagnation of poor countries representsa return to the historical pattern of divergence between richand poor countries.     

环境约束下地区全要素生产率增长及影响因素研究——基于马姆奎斯特生产率指数和环境库兹涅茨曲线分析

采用非参数马姆奎斯特(Malmquist)指数估算我国2000～2009年29个省、直辖市和自治区的全要素生产率(TFP),并分析了人均GDP、人口密度、教育水平、城镇化率对全要素生产率的影响。研究发现:在给定资源投入情况下,东部的生产率增加值大于中部、西部,同时污染排放还小于中部、西部;人均GDP与TFP呈倒U型曲线,即环境要素生产率与人均GDP之间存在环境库兹涅茨(EKC)曲线关系;教育水平与环境要素生产率正相关,城镇化率和人口密度与TFP负相关。     

Military Spending, Government Disarray, and Economic Growth: A Cross-Country Empirical Analysis

Recent years have seen a spate of empirical studies that have used cross-country regressions to examine a variety of possible determinants of long-term economic growth. The present study considers an additional, largely overlooked, explanatory variable: military spending. Consistent with Thompson’s (1974) hypothesis that enhanced national defense fosters economic growth by increasing the security of property rights, the military expenditures share of GDP is found to have a statistically significant positive impact on the growth rate of per capita GDP. This result is obtained for two alternative model specifications, a Barro-regression and a LISREL variant of that regression. The LISREL variant is motivated by Sala-i-Martin’s (1994) claim that the impact of government economic policies jointly, rather than extant government policies individually and separately, is "the phenomenon that really matters" for long-term economic growth.     

The causal dynamics between renewable energy,real GDP,emissions and oil prices: evidence from OECD countries

This study extends the empirical literature on the determinants of renewable energy consumption in the case of 25 OECD countries for the period 1980–2011. Preliminary analysis suggests the presence of cross-sectional dependence within the panel data. As a result, second-generation panel unit root tests of Smith et al. (2004) and Pesaran (2007) are undertaken to find the respective variables that are integrated of order one. Panel cointegration and error correction modelling reveal that a long-run relationship exists between renewable energy consumption per capita, real GDP per capita, carbon dioxide emissions per capita and real oil prices. The long-run elasticity estimates are positive and statistically significant for real GDP per capita, carbon dioxide emissions per capita and real oil prices. The panel error correction model shows that a feedback relationship exists among the variables.