Aid for AIDS in Africa

This article applies a two-tiered contribution model to ascertain the determinants of donors?? participation and contribution levels to giving aid for controlling HIV/AIDS in Africa. Bayesian spatial estimates for the two-tiered model are presented for 22 donor countries that gave aid to 48 recipient countries during 2000?C2007. We account for the public nature of HIV/AIDS contributions by including the contributions of other donors as a determinant at both participation and expenditure stages, along with standard determinants of general assistance. Independent variables account for altruistic, political, economic, location, institutional, and environmental factors. Donor??s reaction to spillovers differs in the two stages, thereby supporting the two-tiered estimates over the single-stage Tobit estimates. Aid for AIDS in Africa is motivated by a complex mix of strategic (publicness), altruistic, and donor self-interests. Key factors at both stages include donors?? spillovers, rule of law, past colonial ties, sharing a common language, trade, and people living with HIV. A host of robustness tests are presented.     

Spatial effects of foreign direct investment in US states

Abstract This paper estimates the aggregate productivity effects of Marshallian externalities generated by foreign direct investment (FDI) in US states, controlling for Marshallian externalities and other spatial spillovers generated by domestic firms. A regional production function framework models externalities and other spatial spillovers explicitly as determinants of total factor productivity. We employ a system generalized method of moments (GMM) estimator to account for the potential endogeneity of FDI and the presence of spatial lags. Using data for US states from 1977–2003, the results indicate that FDI generates positive externalities, while externalities from domestic firms are negative.     

Knowledge,Competence, And Regional Development

This study examines the impact that locational spillovers have on firm performance. On the basis of a uniquely created data set consisting of high-technology start-ups publicly listed in Germany, this paper tests the proposition of locational spillovers positively affecting firm performance, as measured by abnormally high profits on the stock market. The results provide evidence that geographic proximity and university spillovers are complementary determinants of firm performance. Although neither geographic proximity nor academic research spillovers alone can explain firm performance, a combination of both factors results in significant higher stock market performance. The results also show that academic spillovers are heterogeneous in their impact, depending on the type. In particular, spillovers from social sciences have a different impact on firm performance than do spillovers from natural sciences.     

Identifying spatial interactions in the presence of spatial error autocorrelation: An application to land use spillovers

Spatial spillovers—interaction effects among neighboring agents in space—are a common characteristic of a variety of processes that are of interest to environmental and resource economists. Empirical identification of these interactions is challenging, however, due to the endogenous nature of the interactions and the inevitable unobserved spatial correlation that, if uncontrolled, can result in spurious estimates of the interaction parameters. Traditional spatial econometric models rely on maintained assumptions that impose separate structures for the spatial error and interaction processes and thus are insufficient for solving this identification problem. To identify spatial land use spillovers in a hedonic model of residential housing values, we pursue an alternative approach by exploiting a natural experiment in the data. We use exogenous physical land features that impose a direct constraint on residential development on some, but not all, of the land that falls within our study region and use this to construct a “partial population identifier.” We find that this estimation strategy solves the endogeneity problem and reduces spatial error autocorrelation, but does not fully eliminate it. Estimation of the model using a more restricted sample in combination with the partial population identification strategy is successful in eliminating the remaining spatial error autocorrelation. We conclude that less restrictive approaches to controlling for unobserved spatial correlation, such as the natural experiment pursued here, may provide a superior alternative to identifying spatial spillovers.     

A contribution to the theory and empirics of Schumpeterian growth with worldwide interactions

This paper proposes an integrated theoretical and methodological framework characterized by technological interactions to explain growth processes from a Schumpeterian perspective. Global interdependence implied by international R&D spillovers needs to be taken into account in both the theoretical and empirical models. For this task, spatial econometrics is the appropriate tool. The econometric model we propose includes the neoclassical growth model as a particular case. We can therefore explicitly test the role of R&D investment in the long-run growth process against the Solow growth model. Finally, the properties of our spatial econometric specification allow the explicit evaluation of the impact of home and foreign R&D spillovers.     

ECONOMIC FREEDOM AND INCOME LEVELS ACROSS U.S. STATES: A SPATIAL PANEL DATA ANALYSIS

There is a large literature estimating the effect of economic freedom on economic growth or income levels. Most studies examine the relationship between economic freedom and growth or income levels for countries, while a few examine the relationship for U.S. states. Absent in the state‐level literature is consideration of the presence of spatial spillovers affecting the freedom‐income relationship. Neglecting to account for spatial autocorrelation can bias estimation results and therefore inferences drawn. We find evidence of a spatial pattern in real per‐capita gross state product (GSP) that affects nonspatial estimates of the freedom‐income relationship. Taking into account the direct and indirect effects of economic freedom on real per‐capita GSP, we find a 10% increase in economic freedom is associated with a 5% increase in real per‐capita GSP. (JEL E02, O47, R11)     

Do education quality and spillovers matter? Evidence on human capital and productivity in Greece

This paper estimates production functions for Greek regions over 1971–2011, using census data on educational human capital. We construct rich human capital series, where data for employees are decomposed according to their education level. In addition, we take into account possible effects due to education quality and spillovers. Our evidence shows that human capital has a strong positive association with labor productivity through upper secondary and tertiary education, while primary education exhibits a negative relationship and lower secondary education does not exhibit any association with productivity. Tertiary education spillovers along with a number of education quality indicators present a significant positive relationship with productivity. Overall, findings suggest that policy makers should account for education quality as well as spillovers and direct their efforts toward a more efficient and enhanced education system with emphasis on high education levels to improve labor productivity overall and reduce spatial productivity disparities.     

Clustering of cultural industries in Chinese cities

This study is the first empirical research on understanding the determinants of the concentration of cultural industries (CIs) in cities in China. What factors of the urban environment are important for attracting the location of CIs? How is the development of CIs in a city influenced by its neighbouring cities and its early development? To answer these questions, three types of spatial panel models – the spatial lag model, the spatial error model and the spatial dynamic panel model – are employed using the urban statistics for China from 2003 to 2009. Human capital, diversified industrial structure and transportation and communication infrastructure are significant factors contributing to the development of CIs. The empirical findings reveal the presence of positive spatial spillovers among cities, which suggests that promoting CIs in one city benefits other cities. Also, the evidence suggests the presence of temporal spillovers, implying that the early concentration of CIs in a city tends to attract more CIs in that city.     

Macroeconomic spillover effects of the Chinese economy

The slowdown of economy and widening of domestic imbalances in China bothers economists and politicians across the globe. We estimate the influence of a negative output shock in China on a number of different economies. We concentrate on China's neighboring countries. We compare the results from the Global VAR model and from the Bayesian VAR models. Also using Bayesian model averaging we search for determinants of Chinese spillovers for the global economy. We find that spillovers are stronger to economies with less flexible exchange rates, a higher share of manufacturing in gross value added and to economies which are larger.     

On modeling the determinants of TFP growth

We investigate the determinants of TFP growth of Italian manufacturing firms. Using stochastic frontier techniques, we consider three approaches for taking into account the influence of external factors, i.e., the determinants or drivers of growth. First, in our novel approach external factors may influence the technological progress, that is the shift of the frontier. To model this possible unexplored effect, we extend the standard time trend model to make it a function of the external factors. Then, following more standard approaches, we model external factors as either influencing the distance from the frontier, i.e., inefficiency, or the shape of the technology. Using a sample of manufacturing firms in 1998–2003, we find that technological investments and spillovers, human capital and regional banking inefficiency all have a significant effect on TFP growth.     

Knowledge Spillovers and High-technology Clustering: Evidence from Taiwan's Hsinchu Science-Based Industrial Park

Knowledge spillovers of high-technology industries are alleged to be important determinants of industrial clustering. Dynamic production modeling is applied to measure the sectoral and spatial spillover effects to study the implications of various types of knowledge spillovers on high-technology industry clustering in Taiwan's Hsinchu Science-based Industrial Park (HSIP). The analysis is performed using the Taiwanese government's industrial census of technological activities at the micro level with 2340 plants for the period 1986–1995. We find substantive sectoral and spatial knowledge spillover effects, which are considered to be major motivating forces for regional concentration patterns of Taiwan's high-technology industries. (JEL L10 , O30 )     

国际贸易的麦敕勒悖论及其验证:来自美国及OECD成员国的经验证据

本研究采用大数据样本(样本容量为173430)研究了外商直接投资(国外直接投资和港澳台直接投资)外溢效应在空间上的分布规律以及对我国企业生产率的影响,实证结果发现无论港澳台直接投资还是国外直接投资对内资企业均存在外溢的比邻效应;考虑地区进入因素后,外商直接投资对制造业的整体效应估计值降低了;外商直接投资的进入拉大了我国不同区域企业生产率之间的差距。此外,研究结论支持了Arrow(1971)与Findlay(1978)的理论推断。     

Spatial spillovers in emerging market spreads

We use novel spatial econometrics techniques to explore spillovers in the sovereign bond market for 24 emerging economies during 1995–2010. The article extends the previous literature focusing on spillover effects from advanced to emerging economies by analyzing transmission of shocks across emerging markets. After controlling for the impact of global factors, we find strong evidence of spillovers from both sovereign spreads and macroeconomic fundamentals in neighboring emerging economies. In addition to the geographical proximity, the channels of spatial transmission include trade and financial linkages. The results of the article highlight the importance of accounting not only for spillovers from advanced economies to emerging markets but also across emerging markets when analyzing sovereign spreads.     

The effects of gun control on crimes: a spatial interactive fixed effects approach

This paper examines the effect of right-to-carry laws on crimes. We relax the assumption that unobserved time effects have homogeneous impacts on states; therefore, states with right-to-carry laws may follow different time trends which might be stronger or weaker than those of other states including states with no right-to-carry laws. The heterogeneous time trends are modeled by a factor structure where time factors represent time-varying unobservables, and factor loadings account for their heterogeneous impacts across states. No assumption is imposed on the shape of the time trend. Crime statistics exhibit spatial dependence, and a state’s adoption of right-to-carry law may have external effects on its neighboring states. Using a dynamic spatial panel model with interactive effects, we find positive spatial spillovers in crime rates. Depending on a crime category, an average \(1\%\) reduction in crime rates in neighboring states can decrease crime rates by 0.069–0.287%, with property crimes exhibiting higher degrees of spatial dependence than violent crimes. We find that although the passage of right-to-carry laws has no significant effects on the overall violent or property crime rates, they lead to short-term increases in robbery and medium-term decreases in murder rates. The results are robust to the number of factors, a different sample ending point, and some alternative spatial weights matrices and model specifications.     

Comparing the spread of capitalism and democracy

We apply Leeson and Dean’s (2009) method for studying democratic dominoes to capitalist spillovers to compare the rates at which capitalism and democracy spread between countries. We find that capitalism and democracy spread at approximately the same modest rate.     

Inventing together: exploring the nature of international knowledge spillovers in Latin America

This paper studies the nature, sources and determinants of international patenting activity in Latin American countries (LACs) and examines the extent to which LACs benefit from R&D that is performed in the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). By using patents and patent citations from the United States Patent and Trademark Office, we trace sectoral knowledge flows from G-5 countries to LACs. We study the impact of three channels of knowledge flows: foreign R&D, patent citation-related spillovers, and face-to-face contact spillovers. Our results, based on data for Argentina, Brazil, Chile, Colombia and Mexico, suggest that international knowledge spillovers from the G-5 countries were a significant determinant of inventive activity during the period 1988–2003. We find that the stock of ideas produced in the USA has a strong impact on the international patenting activity of these countries. Moreover, controlling for US-driven R&D effects, bilateral patent citations and face-to-face relationships between inventors are both important additional mechanisms of knowledge transmission. Some of our results suggest that the latter mechanism is more important than the former.     

The effect of forest land use on the cost of drinking water supply: A spatial econometric analysis

Forest land use is often associated with the protection of water resources from contamination and the reduced cost of drinking water supply. This study attempted to measure the value of the forest on the quality of water resources from a contingent market, namely drinking water supply, by estimating variations in drinking water costs as a function of variations in land uses. Spatial correlations were taken into account because of the use of different geographical scales (i.e., water service area and land uses) and the potential existence of organizational and technological spillovers between water services. We found a significant negative effect of forest land use on water costs. We found no evidence of spatial spillovers concerning the management regime but did find that factors related to the scarcity of resources in neighboring water services have an impact on water costs.     

Democracy and Economic Growth in an Interdependent World

We model dynamic interdependence in cross‐country economic growth processes by allowing it to vary according to democratic distance among economies. Stochastic distributional dynamics and temporal effects of democracy on economic growth are studied, and spatial variation in economic growth is explored. Among important results, democratic poverty trap is found to exist indicating the possibility of persistence of (un)stable democratic equilibria at different levels of democracy. Our cross‐sectional regression evinces that democracy has exerted significant growth‐enhancing effect and that the democratic distribution has steadily shifted locus from low‐level to high‐level equilibrium. Our spatial analysis of democracy‐economic growth nexus provide evidence of significant dynamic spatial autocorrelation and complementarity among countries' growth processes. Finally, it is demonstrated that the relevance of geographical proximity in facilitating interdependence in economic growth is overshadowed by relational proximity.     

合作研发的影响因素——来自中国企业的经验研究

本文重点检验了技术溢出、研发目标对合作研发的影响。研究发现：合作研发与输入溢出具有显著的正相关关系;就输出溢出而言,水平溢出会抑制企业问的合作（包括水平合作和垂直合作）,而垂直溢出却会促进企业间的垂直合作,且这种积极作用不会受到水平溢出的影响;研发目标对企业问合作研发模式选择也具有显著影响,当企业旨在提高研发成果的成功率和利用率时,更倾向于选择垂直合作;当企业进行重大技术开发或重大创新时,更倾向于选择水平合作。