Research on the Spatial Effect of Green Economic 1 Efficiency in China from the Perspective of 2 Informatization 3

: 8 Background: Green economy has been paid more and more attention in the information age. 9 Informatization plays an important role in the development of green economy by the transmission 10 of industrial structure rationalization and upgrading. Because of the spatial mobility of 11 information, it is necessary to study the spatial spillover effect of information on the efficiency of 12 green economy. In this paper, the non-radial directional distance function and the comprehensive 13 index method are used to evaluate the efficiency of green economy and informatization 14 respectively. On this basis, the spatial characteristics of the two are analyzed. Finally, the spatial 15 econometric model is used to analyze the spatial impact of informatization on the efficiency of 16 green economy. 17 Results: The following findings can be drawn: (i)The spatial distribution of the green economy 18 efficiency and informatization are unbalanced; (ii) There is a significant spatial spillover effect in 19 the efficiency of green economy; (iii) The development of informatization plays an important 20 impact on the efficiency of green economy. 21 Conclusions: It can be seen that informatization plays an important role in the development of 22 green economy, so we can get the following suggestions: (i) Developing green economy according to different conditions of different places. (ii) Establishing regional coordination mechanism of green economic development. (iii) Using informatization to promote the development of green economy.


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The term "green economy" was first proposed by David Pierce, the British environmental 63 economist, in the blue book of green economy in 1989, who stressed that economic development 64 should not be at the expense of environmental pollution [3]. Subsequently, many green economists Internet, e-commerce, cloud computing, big data and artificial intelligence has not only further 92 developed the global information society, but also brought new vitality to economic development.

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In 2017, the global "information society index" was 0.5748, while it was 0.4749 in China, which was 94 in the accelerating transition period from industrial society to information society.More and more 95 researches focus on the relationship between informatization and economic and social development,   informatization development level on the spillover process of foreign direct investment [16].

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Through the econometric analysis of informatization and economic growth, Liu found that 114 informatization had become the main growth pole to promote the sustainable and rapid 115 development of China's economy by the econometric analysis of informatization and economic 116 growth, and the higher the level of informatization, the more significant the role of promoting 117 regional economic growth [17].

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(iii) Research on the spatial effect of informatization on economic development. Yan et al.

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found that there was a significant regional imbalance in the development of informatization in 120 China by studying the evolution trend, dependence degree and mutual effect of the spatial 121 correlation of informatization in each province of China. With the passage of time, the regional 122 differences gradually narrowed, the information correlation became increasingly close, and the 7 Secondly, the spatial econometric model is selected from SLM, SEM and SDM. Finally, the spatial 152 effect of informatization on the efficiency of green economy is empirically analyzed.

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The remainder of this paper is structured as follows. Section 2 is the measurement method and 154 analysis of green economic efficiency. Section 3 is the evaluation and analysis of informatization 155 index. Section 4 is the spatial agglomeration characteristics of green economy efficiency and 156 informatization. Section 5 is the spatial econometric analysis of the impact of informatization on the 157 efficiency of green economy. Section 6 is the conclusions, suggestions and limitations.

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(g) Wastewater discharge amount. Considering that industrial production is only a part of 187 production activities, this paper adopts the total amount of waste water discharged in each 188 province.

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To construct the function of measuring green economic efficiency, we need to consider 192 multiple input variables and multiple output variables, and take into account the production results 193 that there is a certain degree of association between the expected products and the unexpected 194 products such as pollutants. In this paper, the distance function of DEA method is used to measure In addition to meeting the basic axioms of production function theory, it is also assumed that 203 the production technology set P should meet the following conditions: first, the joint set of expected 204 output and unexpected output needs to meet the weak disposability, which characterizes the cost of   . . , , g The higher the Gepi, the better the performance of energy and environment.

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The original input-output data of green economic efficiency in this paper are all from the China 11 development level are selected. Specifically, the three regional classifications of the It can be seen that there are great differences in green economic efficiency among provinces.

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From the regional perspective, the eastern region is higher than the central region, and the central 256 region is higher than the western region. In terms of time, from 2008 to 2017, the overall efficiency 257 of green economy shows a gradual upward trend.

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In this paper, the comprehensive index method is used to measure the information society 14 information society, Pi is four first-class indicators, and Ai is the weight of each indicator value.

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The calculation method of index value of primary and secondary indexes is the same. The  The index data of the information society comes from the global and Chinese information society    other cities are in the transition period -the diffusion of main information technology and products 315 will accelerate and reflect a certain impact. From the regional perspective, the overall trend is that 316 the eastern region is higher than the central region, and the central region is higher than the western 317 region. software Geoda, as shown in Table 3 and Table 4. It can be seen that the overall autocorrelation test

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which shows that the spatial correlation is weaker than before.

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The mechanism of mediating variables is shown in Figure 11.

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The estimated results are shown in Table 5.

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The test results of the three models are shown in table 6.  Table 7. Results of the spatial effect of green economic efficiency 487 Note: *、**、*** significant at the 10%、5%、1% levels respectively

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The correlation coefficient of informatization ISI is 0.714, and it has passed the significance test 501 of 0.01 level, which has a significant role in promoting the green economic efficiency of the region.

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The development of information technology has promoted the development of the tertiary industry,

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The improvement of innovation level can directly and effectively improve production efficiency, 530 reduce input and increase expected output. At the same time, the rapid development of clean 531 energy technology has promoted the emission reduction of unexpected output.

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Because of the great regional differences in China, this paper further discusses the spatial effect

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(i) The spatial distribution of the green economy efficiency and informatization are unbalanced.

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The spatial distribution of green economy and informatization shows that the eastern region is

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The following suggestions can be obtained based on the above conclusions:

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(ii) Establishing regional coordination mechanism of green economic development. Form a 589 regional coordinated development mechanism guided by the government, and give full play to the