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Temporal And Spatial Variation Of Regional Green Technology Innovation Efficiency And Simulation

Posted on:2014-10-18Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z P WangFull Text:PDF
GTID:1481304316458904Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Green technology innovation has a positive meaning to promote regional economic restructuring and adjustment and to improve the quality of economic development. Focusing on the main role of enterprises, the leading role of government and the catalytic role of the market, aim at the Porter Hypothesis, the author created the dynamic model and the diffusion model for green technology innovation from the space and time dimension to make the mechanism analysis of green technology innovation; On the base of the meaning of green technology innovation, the author measured the regional dimension efficiency of green technology innovation around the three dimensions including green economic, the use of innovative resource and eco-efficient with the parameter frontier model of efficiency, and got the integrate green technology innovation efficiency through objective weight. With using spatial statistical methods, he constructed different types of space matrix to study the regional dimension attributes of green technological innovation efficiency and its spatial affect path. After that, he analyzed the geospatial characteristics and evolution of trends of the regional green technology innovation efficiency with the classical spatial model and spatial convergence model so as to get the basic geographical law and trait of the regional efficiency. Finally, on the base of empirical results, the author made the basic simulation and the dimension simulation about the green technology innovation formation and development to expand and supplement the empirical analysis.The main conclusions of this study are the following:(1)The dynamic mechanism&diffusion mechanism of green technology innovationThe green technology innovation dynamic model&diffusion model were established around three inner dimensions of green technology innovation and from the perspective of time and space. The dynamic mechanism analysis of green technology innovation show that the enterprise interests was the fundamental driving force of green technology innovation; the government as the dominant factor, his institutional arrangement and orientation was the leading and the basic driving force of green technology innovation; the market was the ultimate goal of green technology innovation and made the influence through the green certification and the role of the green market. The operating and diffusion mechanism of green technology innovation was the sum of the style and interaction of various elements which promoted green technology innovation to enlarge its influence to achieve greater economic, environmental and ecological benefits on the dimension of time and space. The analysis of the operating and diffusion mechanism of green technology innovation demonstrated the efficiency of green technology innovation mechanism value at the regional level.(2)The dimension attributes and its regional characteristics of green technology innovationThree dimension analysis of green technology innovation efficiency show that green economic development was conducive to technological progress and humanism reversion, gradually eliminate the "technological alienation", thus promoting the development of green technology innovation. The ability of regional technology innovation was subject to specific regional innovation environment and innovation resource, which also affectted the orientation and scope of technological innovation. The lag influence of ecological footprint makes causality become blurred, which lead to the hidden nature and cumulative superposition of ecological footprint. On condition of the rational use of resources, especially non-renewable resources, emphasis on recycling of resources and reduce environmental pressure, the whole ecosystem might maintain a balance development.Internal variance analysis of green GDP showed that the western differentiation was the most obvious, green GDP difference of the central had minimal fluctuation. As the largest region concerning staff input of science and technology R&D institutions, as well as government funding input, Beijing was a national research center because of policy pointing, The research and development center depending on market forces were mainly several eastern provinces which had the more large economy scale as well as the most socio-economic developed Shanghai. Regional ecological footprints show decreasing characteristic from east to west. The difference of ecological footprint occupancy had an increasing trend on dynamic perspective. The per person ecological footprint were larger in the place where social economy highly developed, or densely populated metropolis, while some of the central and western provinces who depending most on nature resources, in pursuit of a rapid economic development, also lead to a larger per person ecological footprint.(3)Regional geospatial feature of green technology innovation efficiencyThe extent of spillover effect on regions:the eastern>Central>Western. Whether on the term of Herfindahl index of technology spillovers or on term of the Gini coefficient, provincial agglomeration degree of technology spillovers was on the increase. Technology spillovers had significant influence on regional green technology innovation efficiency. The estimation of SLM and SEM respectively on the form of rook adjacent matrix, distance matrix, attractiveness matrix show that attractiveness matrix takes into account the heterogeneity among adjacent areas, rather than simply treat the areas adjacent to homogeneity, and have a better estimation result. Spatial lag coefficient was not only positive, but also statistically significant, which directly verify the spatial aggregation of the efficiency. Local import and export had not significant influence on green technology innovation efficiency, but the region of innovative interaction had a statistically significant positive effect,which indicated that the inter-regional competition and incentive effects was in favor of green technology innovation efficiency; Foreign direct investment,either the innovative cooperation regions, or local FDI, not only statistically significant, but also had positive effect on the influence of green technology innovation efficiency; Human capital and human capital of adjacent had the effects of zero-sum, The flow of human capital from the local field efficiency would lead to the reduction of green technology innovation, On the contrary green innovation efficiency in the region would be promoting.(4)The spatial evolution of regional green technology innovation efficiencyThe analysis of spatial convergence of three dimensional efficiency show that:the parameters of the time trend of the green technology efficiency was not statistically significant, which mean the stability of the provincial green technologies efficiency there was no significant change as time passed. The overtake phenomenon of R&D efficiency on the first phase did not appear. The efficiency on the second stage were different, which show the existence of the phenomenon of spatial convergence; The integrated efficiency of innovation resource obtained by two stage also show the existence of the catching up phenomenon of latecomer areas of the efficiency which was linked with geographical proximity. The national eco-efficiency needs to be improved. The difference extent in eco-efficiency development increased. The eco-efficiency had no obvious spatial convergence characteristics. Green technology innovation efficiency got by the three dimensions with objective weighted considering three spatial weights matrix did not show the absolute convergence characteristics of space.The conditional convergence analysis of green technology innovation efficiency with the control variables taking care of the structural variables (R&D funding, human capital density) and condition variables(technology spillovers, environmental controlling, and economic development level, FDI, etc), show that the SLM with use of the ROOK matrix form was statistically significant, which was the preferred model. Space technology spillovers had relatively significant effect on efficiency convergence, while the effect of R&D relatively small. In the control R&D funding and space technology spillover index conditions, provincial Green Technology Innovation efficiency rate of convergence would be4.87%.The club convergence investigation of regional green technology innovation efficiency showed that:the higher level of initial efficiency group existed a significant spatial effect, but there was no absolutely convergent; the differences levels of efficiency tended to increase; In contrast, for the lower levels on efficiency group, spatial effect was not statistically significant, but there exist absolutely convergent, statistically supported SLM models. That is, the green technology innovation efficiency trends converge at a low level, as for the gathering areas of high level green innovation efficiency, the difference degree increased.(5)Simulation based on NetLogo platformDimension simulation analysis show that although technology spillovers had significantly promotted the increase of green earnings, but it could not be ignored to strengthen intellectual property protection of technological innovation, encourage more original innovation under policy consideration; the efficiency of innovation resource use is relatively stable. Only the continuous development and introduction of green innovation technology which promoted the new development of green technology could ensure the consumption of ecological resource within the threshold which maintaining its own balance.
Keywords/Search Tags:Green Technology Innovation, Efficiency, Spatial and Temporal Variation, Spatial Model, Netlogo Simulation
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