Regional Layout Research Articles

Evaluation and Functional Zoning of the Ecological Environment in Urban Space—A Case Study of Taizhou, China

Functional zoning provides a basis for establishing a regional development layout with clear functions, reasonable division of labor, and complementary advantages. In the process of urban development, a large number of behaviors such as occupying ecological land and generating a lot of pollution cause damage to the urban ecological environment. Functional zoning of the ecological environment has become an important tool used by the local and central governments to establish a harmonious relationship between socio-economic welfare and the ecological environment in recent years. Guided by the concepts and principles of ecological function zoning, this study applies and extends the methodological approach of ecological function zoning to the scale of urban space. Based on consideration of an evaluation of ecological environment sensitivity, ecosystem service function importance, and socio-economic coercion, this paper divides urban space into four types, namely: ecological environment restoration zone, ecological economy bearing zone, ecological environment preservation zone, and ecological environment protection zone, utilizing a mutually exclusive matrix classification. Taking Taizhou in Jiangsu Province as a pilot study, this paper verifies the actual application of a theoretical model and its technicalities, thus advancing the general case for function zoning of the ecological environment. Furthermore, it outlines measures for ecological environment protection and the industrial development orientation of each function area, thus providing a scientific basis for Taizhou’s ecological city development and construction.

Implementation Model of Regional Spatial Planning Policy in Realizing Sustainable City Development in Banjar City

The main problems in this study are directed at the model of the implementation of the Regional Spatial Planning policy in practice has not run effectively in realizing sustainable urban development in Banjar City. The research method used by researchers is descriptive analysis, while the type of approach used in this study is qualitative. Descriptive analysis method aims to describe complex social reality by applying concepts that have been developed in social science / public administration. Whereas the qualitative approach was chosen with the consideration that this approach is expected to obtain true data and be able to examine research problems in depth so that the expected results can be obtained. The results of the study can be stated that there are factors that lead to the implementation of the Regional Spatial Plan (RTRW) policy in realizing sustainable city development in Banjar City can run effectively, namely Policy standards and objectives, Resources and incentives, The quality of inter-organizational relationship , The characteristics of implementation agencies, the economic, social and political environment and the 'dispositon' or response of the implementers. However, based on the results of the research, these factors have not been entirely effective. The factors that have not been implemented effectively are the Policy standards and objectives and the "dispositon" or response of the implementers. Therefore there are still problems faced with regard to the Regional Spatial Planning (RTRW) policy, so that it has not been able to provide the best way to regulate, make the best use of spatial planning in the region by considering the level of needs, especially the development sector in urban areas. Disamaping also the results of the study suggest that there is a model in implementing the Regional Spatial Plan policy in realizing sustainable city development in Banjar City, namely synthesis / hybrid models by elaborating the interests of the Central Government, Provincial and Community Participation. This means that the RTRW policy both in planning and in its implementation elaborates by involving the Central Government, West Java Province and the participation of the Banjar City community. Although the policy is decentralized, the central and provincial governments still have a stake in controlling and overseeing the policies of the regional layout plan in realizing sustainable urban development in Banjar City.

Tea Cultivation Suitability Evaluation and Driving Force Analysis Based on AHP and Geodetector Results: A Case Study of Yingde in Guangdong, China

Tea is an economically important crop. Evaluating the suitability of tea can better optimize the regional layout of the tea industry and provide a scientific basis for tea planting plans, which is also conducive to the sustainable development of the tea industry in the long run. Driving force analysis can be carried out to better understand the main influencing factors of tea growth. The main purpose of this study was to evaluate the suitability of tea planting in the study area, determine the prioritization of tea industry development in this area, and provide support for the government’s planning and decision making. This study used Sentinel image data to obtain the current land use data of the study area. The results show that the accuracy of tea plantation classification based on Sentinel images reached 86%, and the total accuracy reached 92%. Then, we selected 14 factors, including climate, soil, terrain, and human-related factors, using the analytic hierarchy process and spatial analysis technology to evaluate the suitability of tea cultivation in the study area and obtain a comprehensive potential distribution map of tea cultivation. The results show that the moderately suitable area (36.81%) accounted for the largest proportion of the tea plantation suitability evaluation, followed by the generally suitable area (31.40%), the highly suitable area (16.91%), and the unsuitable area (16.23%). Among these areas, the highly suitable area is in line with the distribution of tea cultivation at the Yingde municipal level. Finally, to better analyze the contribution of each factor to the suitability of tea, the factors were quantitatively evaluated by the Geodetector model. The most important factors affecting the tea cultivation suitability evaluation were temperature (0.492), precipitation (0.367), slope (0.302), and elevation (0.255). Natural factors influence the evaluation of the suitability of tea cultivation, and the influence of human factors is relatively minor. This study provides an important scientific basis for tea yield policy formulation, tea plantation site selection, and adaptation measures.

Driving Factors of Carbon Emission Intensity for China's Planting: A Combination of LMDI and PDA

It is important to explore the driving factors of the carbon emission intensity (CI) for China's planting under the dual pressures of adequate food supply and carbon neutrality. Previous studies separately investigate the impact of technical or structural factors on the total carbon emissions of China's agricultural sector, but few studies assess the comprehensive effects of these two. To this end, this paper incorporates the production-theoretical decomposition analysis (PDA) into the logarithmic mean Divisia index (LMDI) and decomposes the changes of CI into seven components, namely, two technical effects, four structural ones, and one regional layout effect. Based on the panel data of the agricultural sector for 31 provinces in China from 2001 to 2018, the contribution rates of the seven components to the changes of China's planting CI are computed. The results indicate that China's planting CI presents a downward trend with an average annual decreasing rate of 11.4% over the whole study period. The improvement in technical efficiency (TEFF) plays a dominant role in the decline of CI for planting with a contribution rate of 83.19%, followed by the output structure (OS) change (27.28%). In contrast, technical change (TECH) (8.00%) promotes the increase of CI. Further, the effects present significant regional heterogeneities. Specifically, TEFF contributes the highest share to the decline of CI for producing-sales balance areas (BA), and OS plays the greatest role in the decrease of CI for main grain-sales areas (MCA) during the entire study period. Accordingly, some policy recommendations are put forward on how to reduce the CI of China's planting.

Multiweight Cross-Multimedia Logistics Optimal Path Exploration by Integrating High-Dimensional Deep Learning

High-dimensional deep learning has been applied in all walks of life at present, among which the most representative one is the logistics path optimization combining multimedia with high-dimensional deep learning. Using multimedia logistics to explore and operate the best path can make the whole logistics industry get innovation and leap forward. How to use high-dimensional deep learning to conduct visual logistics operation management is an opportunity and a problem facing the whole logistics industry at present. The application of high-dimensional deep learning technology can help logistics enterprises improve their management level, realize intelligent decision-making, and enable accurate prediction. Starting from the total amount of logistics, regional layout, enterprise scale, and high-dimensional deep learning algorithm, this paper analyzes the current situation of China’s logistic development through multiweight analysis and explores the best path for multimedia logistics.

Exploring requirements and detector solutions for FCC-ee

Circular colliders have the advantage of delivering collisions to multiple interaction points, which allow different detector designs to be studied and optimised—up to four for FCC-ee. On the one hand, the detectors must satisfy the constraints imposed by the invasive interaction region layout. On the other hand, the performance of heavy-flavour tagging, of particle identification, of tracking and particle-flow reconstruction, and of lepton, jet, missing energy and angular resolution, need to match the physics programme and the exquisite statistical precision offered by FCC-ee. During the FCC feasibility study (2021–2025), benchmark physics processes will be used to determine, via appropriate simulations, the requirements on the detector performance or design that must be satisfied to ensure that the systematic uncertainties of the measurements are commensurate with their statistical precision. The usage of the data themselves, in order to reach the challenging goals on the stability and on the alignment of the detector, in particular for the programme at and around the Z peak, will also be studied. In addition, the potential for discovering very weakly coupled new particles, in decays of Z or Higgs bosons, could motivate dedicated detector designs that would increase the efficiency for reconstructing the unusual signatures of such processes. These studies are crucial input to the further optimisation of the two concepts described in the FCC-ee conceptual design report, CLD and IDEA, and to the development of new concepts which might actually prove to be better adapted to the FCC-ee physics programme, or parts thereof.

Potential Impacts of Fukushima Nuclear Leakage on China’s Carbon Neutrality—an Investigation on Nuclear Power Avoidance and Regional Heterogeneity

Ten years have passed since the Fukushima nuclear accident, but its impact on the environment and energy consumption structure has continued up to now. This accident delayed the process of China’s nuclear power construction and may have a certain potential impact on China’s goal of carbon neutrality by 2060. This paper aims to properly understand the negative impact of the Fukushima nuclear leakage on China’s nuclear power industry, to reawaken the attention of Chinese academic and governmental departments to nuclear energy, and to explore a reasonable path to achieve carbon neutrality. Based on the idea of a quasi-natural experiment, this paper collected the carbon emissions data of 30 provinces and cities in China from 2000 to 2017, and explored the accident impact and mechanism on carbon emissions in the provinces with nuclear power. The research results showed that the Fukushima nuclear accident had different impacts on China’s nuclear power provinces. Due to the large proportion of manufacturing industry and high dependence on energy, the carbon emissions in Jiangsu Province rose after being impacted by the incident, in contrast, the research results in Guangdong and Zhejiang provinces were opposite. Through the mechanism test, it was found that the incident impact had reduced the carbon emissions of Guangdong and Zhejiang by improving the industrial structure and energy efficiency, with the explanation ratios of 10.45 and 15.1%, respectively. Technological innovation had obscured the emission reduction effect of the incident impact, and the innovation driving force for green development in nuclear power base provinces was insufficient. These findings are helpful to analyze the regional layout of China’s nuclear power and have implications for achieving carbon neutrality. Finally, this study offers relevant policy recommendations.

Modeling climatically suitable areas for soybean and their shifts across China

CONTEXTCrop suitability determines its distribution and yield in a given region and can be greatly affected by climate change. In recent decades, the distribution of soybean cultivation has undergone significant spatial shifts in China. However, whether this change matches with climatic suitability for soybean at a national scale has not been reported. OBJECTIVEOur objectives were to investigate the spatial distribution and shifts in climatically suitable areas for soybean from 1961 to 2017 and to determine whether actual production matches with climatic suitability in China. METHODSThe MaxEnt model was used to simulate the presence probability of soybean from 1961 to 2017 based on soybean occurrence data and climate data across China. Regions were classified as climatically unsuitable or as having low, moderate, or high climatic suitability. Then, the overlay analysis was performed to assess spatial changes of soybean suitability and the consistency between climatic suitability and actual production. RESULTS AND CONCLUSIONSAccumulated temperature ≥ 10 °C, humidity index during the potential growing season, and annual temperature range were the major climatic factors that affected soybean distribution. Areas of high climatic suitability were mainly located in the Northeast and North-central Regions, and the total acreage of high suitability was 129.88 × 106 ha. Unsuitable areas for soybean contracted over the study period, whereas highly suitable areas migrated westward and southward. The climatic suitability for soybean across China has increased overall in the past decades. The area of improved climatic suitability from 1961 to 2017 comprised 14.60% of the entire land area of China and was concentrated primarily in the Northwest and North-central Regions. Nonetheless, consistency between climatic suitability and actual production decreased from 83.47% in 1985 to 65.16% in 2015. This may pose a risk to soybean production, especially in emerging major planting areas of the Southwest Region. SIGNIFICANCEThis study described the distribution of climatically suitable areas for soybean, used spatial analysis to illustrate the extent to which climatically suitable areas overlap with actual production areas, and discussed possible solutions for improving soybean production at a national scale in China. This work has practical significance for optimizing the regional layout of soybean production and implementing countermeasures to address future climate change.

Study on Spatial Distribution and Sustainable Development of Night Tourism Resources:Take the Central Guilin as an Example

The concept of sustainable development organically unifies the long-term interests and short-term interests, overall interests and local interests, economic interests and social interests of a country or region, and finally achieves common, coordinated, fair, efficient and multi-dimensional development. Based on the theory of tourism sustainable development, the paper discusses the characteristics of tourism resources composition and spatial distribution in the central Guilin from the aspects of scale, per capita share and nearest neighbor index. It is found that there are various types of night tourism resources in the central Guilin, but the supply of resources is insufficient, and the spatial distribution type is condensed, which is characterized by “central agglomeration and zero stars around”. The imbalance in regional layout exacerbates the contradiction between the supply and demand of night tourism resources. The relevant departments should take the integration, uniqueness and economy as the planning principles, and promote the sustainable development of the night tourism market in the central Guilin by issuing the night tourism planning policy, optimizing the spatial layout, deepening the night tourism planning and development, and widening the marketing channels.

Grape planting situation and regional spatial analysis in Xinjiang, China

With the rapid development of China’s grape industry and the improvement of breeding and cultivation management technology, great changes have taken place in Xinjiang grape planting. By the investigation of grape planting distribution in recent ten years in China, using geographic information technology (GIS) to analyze the changes of Xinjiang grape production layout and agglomeration characteristics, summed up the layout and development of Xinjiang grape industry, in order to provide reference for optimizing regional grape variety structure. The results showed that the grape industry in Xinjiang has entered a high-quality development stage, grape planting in the spatial distribution showed an expansion trend, the degree of concentration and imbalance was slightly reduced, the regional layout and variety structure were optimized to some extent, but the grape industry in Xinjiang was still in a high degree of centralized distribution

Ruggedness of Dual-GCT against dynamic avalanche and surge current

Based on multi-cell structure model, the ruggedness of Dual Gate Commutated Thyristor (Dual GCT) against dynamic avalanche and surge current is examined by the device simulation. The simulation results of turn-off behavior show at smaller turn-off delay time, the current filament caused by dynamic avalanche arises in the GCT-A part, which is adverse for the device, and at larger turn-off delay time, the filament arises in the GCT-B part. And the carrier lifetime in the GCT-B part can also influence where the filament appears. Increasing the carrier lifetime of GCT-B part could improve the surge ruggedness of the device, but a compromise must be made between the turn-off and the surge ruggedness. Choosing the lifetime control process that can maximize the temperature dependency coefficient of the lifetime is proved to be an effective method to improve the surge ruggedness while ensuring the turn-off behavior well. Finally, a new Dual GCT structure with proper layout of anode short regions in the GCT-B part is proposed and it is validated by simulation to have excellent surge ruggedness.

Guangdong Tropical Agriculture Regional Distribution and Industrial Structure Situation: Perspective of Choice for Optimization and Adjustment

It is necessary to clarify the current regional layout and industrial structure of Guangdong tropical agriculture. Speed up the research on the selection of suitable industries for tropical agriculture, scientifically guide the concentration of various agricultural industries in the most suitable areas, help all kinds of social funds clarify the investment direction and key areas, promote the professional division of labor in agricultural regions, deepen the structural reform of agricultural supply side, and form a reasonable distribution of agricultural productivity, are of great importance. Focus on situation of agricultural regional distribution and industrial structure in tropical area of Guangdong, this research analyzes the characteristics, industrial development model and existing problems, and puts forward the optimization and adjustment path and policy suggestions of tropical agriculture in Guangdong. The characteristics include agricultural environment rich in resources, the industrial regional characteristics are distinct, advantageous industries gradually concentrated on advantageous regions, industrial structure become more and more reasonable, modern agricultural model has taken shape with good basic conditions, the "dumbbell" characteristics of agricultural industrial organization structure have gradually emerged, agricultural operation service organization led by supply and marketing cooperatives has been preliminarily established. The existing problems in developing tropical agriculture in sub-tropical areas of Guangdong include industrial structure and variety structure among counties need to be optimized, imperfect industrial chain, land fragmentation leads to the miniaturization of production and operation, the agricultural socialized service system needs to be further improved, imperfect agricultural technology extension system. The optimization and adjustment path of tropical agriculture in sub-tropical areas of Guangdong are making efficient tropical agricultural industrial structure and layout with appropriate scale regional agricultural products as the main body, selecting suitable industries and extend their industrial chain, constructing professional agricultural socialized service system, strengthening construction of grass-roots agricultural technology popularization system, enhancing agricultural cooperation between Guangdong-Hong Kong-Macao Greater Bay Area and Hainan Free Trade Port.

Does high-speed railway promote regional innovation growth or innovation convergence?

The paper utilizes an endogenous innovation growth model including high-speed railway (HSR) fares and speeds to explain how HSR affects regional technological innovation. Difference-in-Difference (DID) regression analysis shows that HSR has significantly promoted innovation growth and innovation convergence in China, with the effect value of 14.73% and 5.91% respectively. The conclusion that HSR promotes innovation growth is still valid through endogenous treatment of instrumental variable method. Various robustness analyses show that the more stations or lines connection, the more conducive to promoting innovation growth and innovation convergence. The conclusion is still robust after different time bandwidth is set. Further analysis shows that HSR has significantly promoted the innovation development and innovation convergence within and between the three regions of eastern China, central China and western China. The innovation spillover range of innovation center cities to non-innovation cities is 300 km. In addition, it is found that cities that have not opened HSR can also benefit from the connection of HSR in neighboring cities, thus promoting innovation growth, but the impact on innovation convergence is not as significant as the direct connection of HSR. The policy enlightenment of this paper is that in the face of innovation gap and regional innovation development inequality, in the planning and construction of HSR, it is suggested to coordinate the regional layout of investment in high-speed rail construction, which is not only conducive to promoting the innovation growth of these regions, but also conducive to narrowing the regional innovation development gap. In addition, remote and backward areas should seize the opportunity of opening high-speed railways to promote regional innovative growth, instead of making high-speed railways a channel for factors such as human capital to escape.

Spatial–temporal analysis of the comparative advantages of dairy farming: Taking 18 provinces or municipalities in China as an example

High cost and low milk yield per dairy cow are current problems mainly faced by dairy farms in China. Thus, optimizing the regional layout and integrating the advantages to enhance the competitiveness of dairy farming in China is necessary. However, existing studies on comparative advantage analysis of dairy breeding have a relatively single perspective. Therefore, comprehensively identifying the advantage area of dairy farming is difficult. This study established a comprehensive evaluation model of the comparative advantages of dairy farming considering basic, technical, economic, and feed resource indexes using linear weighted and entropy weight methods. On this basis, the spatial–temporal analysis of the comprehensive evaluation on comparative advantages of dairy farming from 2013 to 2017 was performed using Geographic Information System(GIS). Finally, the advantage areas of dairy farming were identified. Results demonstrated that the highest average comprehensive evaluation value was 0.6017 in Inner Mongolia Autonomous Region, followed by 0.5355 in Ningxia Hui Autonomous Region and 0.1786 in Anhui Province. Furthermore, the advantage areas of dairy farming were identified including Inner Mongolia Autonomous Region, Beijing Municipality, Heilongjiang Province, Shanghai Municipality, Xinjiang Uygur Autonomous Region, Tianjin Municipality, Liaoning Province, Shanxi Province and Ningxia Hui Autonomous These findings provide references for the spatial layout of dairy farming, spatial allocation of production resources, and sustainable development of animal husbandry.

Analysis of Russia’s Policy Behaviour after the Abolition of the INF Treaty

The “Treaty between the Soviet Union and the United States on the Elimination of Intermediate-Range and Shorter-Range Missiles” (after this referred to as the “Intermediate-Range Nuclear Forces — INF Treaty”), was an arms control treaty. This Treaty was abandoned after being extended for more than three decades. In the current context of competition among great powers, its abolition not only affects the military designs of the two countries but also impacts the reconstruction of regional and global strategic layouts, as well as the future of the global armament system. Against the background of significant changes in Russia’s strategic security environment during the post-INF Treaty period, Russia’s policy behaviour has exhibited a strong “security orientation”. That is, at the military level, it updates and upgrades its nuclear arsenals and continuously expands its deterrence options; at the diplomatic level, it has broken through the Western blockade by expanding Russia’s partner circle. In explanation of the reasons for the emergence of “security-oriented” behaviour characteristics in Russia, this paper argues that geopolitical narration plays a role in shaping Russia’s behaviour. On the other hand, the inertia of Russia’s policy behaviour is explained from the perspective of Russia’s national characteristics, primarily as defined by its national identity. Finally, this paper gives a brief prediction of the future trend of Russia’s behaviour and the arms control system in the post-INF Treaty period.

Learning to transfer focus of graph neural network for scene graph parsing

Scene graph parsing has become a new challenge in the field of image understanding and pattern recognition in recent years. It captures objects and their relationships, and provides a structured representation of the visual scene. Among the three types of high-level relationships of scene graphs, semantic relationships, which contain the global understanding of the scene, are the core and the most valuable, while geometric and possessive relationships contain local and limited information. However, semantic relationships have the characteristics of multiple types and fewer instances, leading to a low recognition rate of most semantic relationships by existing detectors. To address this issue, this paper proposes a new architecture, the graphical focal network, which uses a decision-level global detector to capture the dependencies between object and relationship local detectors. We construct a graphical focal loss, which overcomes the lack of semantic relationship instances by adjusting the proportion of relationship loss based on the degree of relationship rarity and learning difficulty, and improves the stability of key object recognition by adjusting the proportion of object loss based on the degree of node connectivity and the value of neighborhood relationships. The proposed relative depth encoding module and regional layout encoding module, respectively, introduce relative depth information and more effective geometric layout information between objects, thereby further improving the performance. Experiments using the Visual Genome benchmark show that our method outperforms the most advanced competitors in two types of performance metrics. For semantic types, the recognition rate of our method is 2.0 times that of the baseline.

An empirical study on spatial–temporal dynamics and influencing factors of apple production in China

In the context of supply-side structural reform, revealing the characteristics of spatial–temporal dynamics and influencing factors of China’s apple production layout is of great significance to ensure apple supply and demand balance and timely adjustment of industrial policies and regional layout strategies. Based on national and provincial apple production data from 1978 to 2016, this study used the apple production concentration index to analyse the evolution characteristics of regional apple production patterns in China. A theoretical analysis framework was established and a spatial econometric model was used to quantitatively explore the influencing factors of China’s apple production layout. The results showed that, first, since the reform and opening-up policy, a general trend of fluctuating growth was found for apple production in China. The centre of apple production layout moved in the southwest direction, with the shift from the Bohai Bay region to the Loess Plateau region. Second, apple production had a significant spatial correlation, while the degree of spatial agglomeration gradually decreased. Third, these changes were significantly influenced by apple comparative income, infrastructure, policies, and climatic conditions. Therefore, it is necessary to continue optimizing and adjusting the apple spatial layout to enhance the technological progress and economic effect of the apple industry and to ensure the stability and balance of regional supply and demand.

CNN-Based Layout Segment Classification for Analysis of Layout-Induced Failures

Physical failure analysis (PFA) specifies layout designs that affect large-scale integration (LSI) failure. Because of their capability and cost-effectiveness, convolutional neural networks (CNNs) have been applied to LSI layout analysis. However, the information on failure for root cause analyses is generally limited. Moreover, information over a large area, which includes many geometries, is required to understand the effects of a layout on failure. These problems pose challenges in training the CNN models to achieve high accuracy for layout segment classification. In this study, we propose a scheme for layout segment classification that uses CNN to analyze the effects of layout on failure. Thus, multiple segment images of LSI layouts are used as inputs, and the outputs of CNN models are used to classify the input images as either risk or non-risk segments. First, we evaluated a simple 3-layer model, and then a 15-layer model fine-tuned using the transfer learning of the VGG16 model. The 15-layer model outperformed the 3-layer model for classifying the LSI layout segments. From a cross-validation of the 15-layer model, a true positive rate of >80% and a false positive rate of <10% are obtained for extracting layout regions related to actual defects. The outputs of the CNN models from the input layout segment demonstrate similarity with the defective layouts. In the regional layouts across the LSI chips, the contour plot of model outputs is visualized as a hazard map of failures. This information is necessary for additional failure cause analyses.

Optimization Research of Regional Distribution of Hainan Agricultural Industry Based on Comprehensive Comparative Advantages

Based on the statistical data of 18 cities or counties in Hainan from 2011 to 2018, this research comprehensive utilize agricultural production comparative advantage and environmental comparative advantage to build a comprehensive comparative advantage system, guide the optimization of Hainan's agricultural industry layout. The result show that the comprehensive comparative advantages and environmental bearing capacity of Sanya, Qionghai, Wanning, Baoting and Qiong Zhong are bigger than 1, have significant advantage in agricultural production; And the comprehensive comparative advantage of Ding'an, Tunchang and Ledong is bigger than 1, but the environmental carrying capacity is between 0-1, so they are medium advantage zone of agricultural production; The comprehensive comparative advantages and environmental carrying capacity of Haikou, Wenchang, lin'gao, Danzhou, Dongfang, Lingshui and Changjiang are all between 0-1, are disadvantaged area of agricultural production. According to the evaluation results of comprehensive comparative advantagesw, the following optimization paths are proposed, firstly, it is proposed to improve the significant advantages zone, and limit the scale of low efficiency and high consumption of agricultural products in medium advantages zone, and adjust the industrial structure and layout of the disadvantaged zone. Secondly it is proposed to promote the production mode of comprehensive development of agriculture, forestry, animal husbandry and fishery. Thirdly, it is considered of multi compliance of the impact of planting, animal husbandry and fishery layout on the environment. Then the pollutant discharge in agri-production should be strengthening controlled. Finally, this research puts forward some policy suggestions to support the optimization of regional layout of agricultural industry.

RETRACTED ARTICLE: Marginal contribution of the health input of human capital for intelligent strategic layout of medical insurance

Extensive mode of economic development has brought serious threat to residents’ health, the health human capital input’s positive effect on economic growth has been questioned. When calculating the GDP, the explicit cost of the resources should not only be considered, but also the health implicit cost. This paper constructs the group panel SVAR system with interaction effects to measure the contribution margin and dynamic trend of the human capital’s health input in different urban and rural regions of China. The results show that the health GDP path in the eastern region is around 1.7% lower than the real path, while most contribution margin of the health input are negative in the central and western regions, and the health GDP is about 4% higher than the real path. The health GDP path in the rural middle region is about 2.1% lower than the real path, while the health GDP path in the western and eastern China is about 2.7% higher than the real path. Institutional changes has showed competitiveness in improving the health between urban and rural areas, especially before 2009, suggesting that although the new health care reform policies proposed in 2009 are effective, the supply of social health care system is still relatively insufficient. The excessive loss of residents’ health has had a negative impact on economic growth in some regions. In addition, the competition of medical security in urban and rural areas requires the supplement of commercial medical insurance. Therefore, government departments and insurance companies can carry out the regional layout of insurance industry based on the empirical results of this paper and the intelligent optimization algorithm.