TEMPORAL-SPATIAL EVOLUTION AND FACTORS OF AGRICULTURAL SOCIALIZED SERVICING LEVEL IN THE MAJOR CROP PRODUCTION AREAS
Securing supply of key agricultural products like crops is the first task for reviving countryside, which can be satisfied through agricultural socialized servicing linking traditional farmer and modern agriculture. This paper, aiming at promoting agricultural socialized servicing, based on its developing logics, uses provincial panel data from 2008 to 2021, entropy, spatial auto-correlation and geographic detectors to measure the agricultural socialized servicing level in the major crop production areas, and to explore its temporal-spatial evolution and factors. During research period, agricultural socialized servicing level in the major crop production areas has been rising, supported by technical information servicing and public servicing. Agricultural socialized servicing in the three major crop production areas has been improved, ranking in a decreasing order, Huanghuaihai, Yangtze River basin, and northeast, displaying different structural features. Spatially, agricultural socialized servicing displays a south-high and north-low pattern, varying provincially but with positively rising concentration. Many factors impact it in a varying manner; top 2 factors include economy and agriculture scale from the view of economic and social development, and agricultural land scale operation and rural residents’ income from the view of rural production and life. This paper present suggestions on overall construction and structural optimization, on making use of resources, on trans-regional sharing resources and regional coordination, on improving rural environment, and on creating more advantages for agricultural socialized servicing.
Yangtze River Economic Belt is the most active and economically most dense stream belt in China. China’s fast growing economy and urbanization results in water resources consumption and environmental pollution with an aftermath of low water resources green efficiency in this economic belt. This paper, based on provincial and municipal spatial scales and data of 9 provinces and 2 municipalities in the Yangtze River Economic Belt, uses non expected output ultra-efficiency SBM model to estimate its water resources green efficiency, and establishes a spatial Dubin model to study the impact of water conservancy construction investment on water resources green efficiency. The results show an overall low efficiency, most provinces/municipalities under the effective level. Temporally, the water resources green efficiency shows a fluctuated rising trend, characterized by “downstream>upstream>middle stream”. Spatially, it shows a “eastern high west low and northern high southern low” pattern, most provinces/municipalities in a transiting stage up to the medium green efficiency. Water conservancy construction investment largely improves the water resources green efficiency within the provincial/municipal ranges, with little influence on their neighboring areas. Among control variables, economic development level and industrial structure positively exert boost the water resources green efficiency, but urbanization level, water resources abundance and pollution play adversely, and knowledge level has no significant effect on the green efficiency of water resources. To promote the positive impact of water conservancy construction investment on water resources green efficiency in the Yangtze River Economic Belt, this paper presents suggestions for governments on holding of green development concept, combining water resources comprehensive governance with economic development, carry out green efficiency management of water resources in the Yangtze River Economic Belt according to local conditions, and diminishing its provincial variance for a coordinated and sustainable development on society, economy and ecology in the Yangtze River Economic Belt.
This paper, in order to study impacts of coordinated concentration of manufacturing and industrial servicing on green developing efficiency, uses 27 central cities of Yangtze river delta city cluster as a case to study the impacting degree of coordinated concentration of manufacturing and industrial servicing on green developing efficiency by means of GMM model, with factors threshold effects considered. Single industrial concentration of manufacturing and industrial servicing promotes green developing efficiency, and coordinated concentration does more. Among the controlling variables, economic development, industrial structure, human capital, infrastructure, environmental regulation, foreign capital use and urbanization impact green developing efficiency in a variable way at different concentrating statuses. Under coordinated concentration, human capital and foreign capital use with threshold effects promote green developing efficiency more if over the threshold effects. This paper presents constructive suggestions for Yangtze river delta city cluster on green developing efficiency.