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Griliches’ knowledge production function has been increasingly adopted at the regional level where location-specific conditions drive the spatial differences in knowledge creation dynamics. However, the large majority of such studies rely on a traditional regression approach that assumes spatially homogenous marginal effects of knowledge input factors. This paper extends the authors’ previous work (Kang and Dall’erba in Int Reg Sci Rev, 2015. doi: 10.1177/0160017615572888) to investigate the spatial heterogeneity in the marginal effects by using nonparametric local modeling approaches such as geographically weighted regression (GWR) and mixed GWR with two distinct samples of the US Metropolitan Statistical Area (MSA) and non-MSA counties. The results indicate a high degree of spatial heterogeneity in the marginal effects of the knowledge input variables, more specifically for the local and distant spillovers of private knowledge measured across MSA counties. On the other hand, local academic knowledge spillovers are found to display spatially homogenous elasticities in both MSA and non-MSA counties. Our results highlight the strengths and weaknesses of each county’s innovation capacity and suggest policy implications for regional innovation strategies. 相似文献
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Sandy P Harrison 《Climate Dynamics》1989,3(3):157-167
Changes in lake levels during the last 12000 years in eastern North America show spatially coherent patterns, implying climatic control. Conditions were generally wetter than today during the late glacial, becoming more arid towards 6000 years BP when most lakes were low. Lakes rose after 6000 years BP, reaching modern levels by about 3000 years BP. These palaeohydrological changes broadly agree with simulated changes in moisture balance derived from experiments with the NCAR Community Climate Model (Kutzbach and Guetter 1986) with changing orbital parameters and lower boundary conditions (sea-surface temperature and ice extent). However, the model simulates maximum aridity at 9000 years BP. Data and model show broadly similar spatial patterns, implying that the lake-level changes can be explained by the changing boundary conditions and their effects on atmospheric circulation. At 12000 years BP most lakes were high because of increased precipitation along the jet-stream storm-track south of the ice sheet. By 9000 years BP, with the much reduced ice sheet, many lakes along the eastern seaboard and in the southeast were lower than present because of greater evaporation due to high summer insolation. The warming of the continental interior generated an enhanced monsoon low in the southwest, causing increased southerly flow which helped to maintain higher lakes in the Midwest. Dry conditions spread eastwards across the Midwest between 9000 and 6000 years BP. This effect is not shown by the model, which continues to bring monsoonal precipitation into the Midwest while simulating enhanced westerly flow and drier conditions further to the west. Such displacements of circulation features are unimportant at the continental scale, but could be significant if general circulation models are used for regionalscale predictions of changes in the moisture balance. 相似文献
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本项研究是ＰＭＩＰ（ＰａｌａｅｏｃｌｉｍａｔｅＭｏｄｅｌｉｎｇＩｎｔｅｒｃｏｍｐａｒｉｓｏｎＰｒｏｊｅｃｔ）国际合作项目中有关模型模拟与观测资料对比的一部分。模型试验对象是６０００ｙｒ．ＢＰ的全球湿润状况。模拟试验以检测太阳辐射变化对全球大尺度气候系统的影响为主要目的。观测资料是利用地质证据恢复的古湖泊水位变化,实际上是某一地区的有效降水（降水减蒸发）的变化。通过两者的比较发现,所有模拟试验均能重现６０００ｙｒ．ＢＰ在亚洲南部与非洲北部的湿润环境,从而证实了因太阳辐射变化导致的亚洲与非洲季风的增强。但模拟的季风增强无论是强度还是范围均小于地质记录。原因很可能是模拟试验中下垫面特征用“现代”的来处理。模拟试验对北半球夏季辐射增加造成的西风带北移及由此引起的中纬度地区的气候变化不够成功。绝大多数模拟对受洋流与海温影响较大的地区是失败的。主要原因可能是所有ＰＭＩＰ中的模拟试验都未考虑海洋的作用。 相似文献
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Olivier Henry Michael Ablain Benoit Meyssignac Anny Cazenave Dallas Masters Steve Nerem Gilles Garric 《Journal of Geodesy》2014,88(4):351-361
Determining how the global mean sea level (GMSL) evolves with time is of primary importance to understand one of the main consequences of global warming and its potential impact on populations living near coasts or in low-lying islands. Five groups are routinely providing satellite altimetry-based estimates of the GMSL over the altimetry era (since late 1992). Because each group developed its own approach to compute the GMSL time series, this leads to some differences in the GMSL interannual variability and linear trend. While over the whole high-precision altimetry time span (1993–2012), good agreement is noticed for the computed GMSL linear trend (of $3.1\pm 0.4$ mm/year), on shorter time spans (e.g., ${<}10~\hbox {years}$ ), trend differences are significantly larger than the 0.4 mm/year uncertainty. Here we investigate the sources of the trend differences, focusing on the averaging methods used to generate the GMSL. For that purpose, we consider outputs from two different groups: the Colorado University (CU) and Archiving, Validation and Interpretation of Satellite Oceanographic Data (AVISO) because associated processing of each group is largely representative of all other groups. For this investigation, we use the high-resolution MERCATOR ocean circulation model with data assimilation (version Glorys2-v1) and compute synthetic sea surface height (SSH) data by interpolating the model grids at the time and location of “true” along-track satellite altimetry measurements, focusing on the Jason-1 operating period (i.e., 2002–2009). These synthetic SSH data are then treated as “real” altimetry measurements, allowing us to test the different averaging methods used by the two processing groups for computing the GMSL: (1) averaging along-track altimetry data (as done by CU) or (2) gridding the along-track data into $2^{\circ }\times 2^{\circ }$ meshes and then geographical averaging of the gridded data (as done by AVISO). We also investigate the effect of considering or not SSH data at shallow depths $({<}120~\hbox {m})$ as well as the editing procedure. We find that the main difference comes from the averaging method with significant differences depending on latitude. In the tropics, the $2^{\circ }\times 2^{\circ }$ gridding method used by AVISO overestimates by 11 % the GMSL trend. At high latitudes (above $60^{\circ }\hbox {N}/\hbox {S}$ ), both methods underestimate the GMSL trend. Our calculation shows that the CU method (along-track averaging) and AVISO gridding process underestimate the trend in high latitudes of the northern hemisphere by 0.9 and 1.2 mm/year, respectively. While we were able to attribute the AVISO trend overestimation in the tropics to grid cells with too few data, the cause of underestimation at high latitudes remains unclear and needs further investigation. 相似文献