In the 14th Five-Year Plan period(2021-2025),China has vowed to pursue high-quality industrial development.The digital economy drives high-quality industrial development by creating means of production,reducing transa...In the 14th Five-Year Plan period(2021-2025),China has vowed to pursue high-quality industrial development.The digital economy drives high-quality industrial development by creating means of production,reducing transaction costs,transforming industrial organization,and improving the efficiency of resource allocation.The digital factor has become a key factor of production for high-quality development.Digital and user-created innovations are the new normal for cross-sectoral integration and innovation.Great progress has been made in China'high-quality industrial development driven by the digital economy.The rapid development of digital industries and industrial digitalization have reshaped the industrial division of labor and helped the ascension of related industries towards the medium-and high-end links of the global value chains.However,China still faces numerous challenges in the development of its digital economy;it lacks indigenous industrial innovation,depends on foreign supply of core technologies,and is ill-prepared for industrial digitalization.Much work remains to be done to further coordinate the development of some industries and foster digital ecosystems for the symbiosis of industrial chains.In furthering the high-quality industrial development driven by the digital economy,China should stay at the forefront of digital innovation,promote digital governance,enhance data factor agglomeration,and foster digital talents.展开更多
At present,the global economic crisiscontinues to spread across the world.Theeconomies of all countries are sliding into aslump,trade protectionism is gaining ground,andexport orders have declined substantially for pr...At present,the global economic crisiscontinues to spread across the world.Theeconomies of all countries are sliding into aslump,trade protectionism is gaining ground,andexport orders have declined substantially for productprocessing and trading enterprises.Chinesefurniture companies are suffering from certainnegative impacts.China,as a large furniture producer,should draw lessons from this global economiccrisis.Furniture companies should enhancetheir capabilities of independent innovation andbrand building,increase product quality,and addvalue.In order to reduce losses from foreign technicalbarriers to trade,relevant departmentsshould strengthen their ability to respond to foreigntechnical regulation,standard,conformity assessment,inspection,and quarantine.Because agreat variety of environmental regulations areemerging endlessly,furniture companies must doa good job of producing green label certificationand actively respond to green trade barriers.展开更多
Taking the city of Qitaihe is as an example in order to provide practical methods for the selection of leading industries for coal resource cities, this paper establishes the specific operation scheme for selection of...Taking the city of Qitaihe is as an example in order to provide practical methods for the selection of leading industries for coal resource cities, this paper establishes the specific operation scheme for selection of leading industries according to the actual situation of coal resource cities based on the theory of coupling coordination together with the coupling coordination for technological innovation. The results show that the degree for coupling coordination of the technological innovation for each alternative industry differentiates with the development of coal resource cities. For example, the average degree of food processing industry from agricultural produce is 0.9. Therefore, coal resource cities should develop some industries related to coal industry, such as coking industry, some chemical and medicines industry and non-metallic mineral products manufacturing, in the near future, however, some industries with greater market and influence potentials and low carbon emissions should be attached much importance to in the future.展开更多
This study provides estimates of smallholder household＇s production efficiency and its determinants, and separately analyses the technical efficiency of dairy technology adopting and non-adopting farmers using data f...This study provides estimates of smallholder household＇s production efficiency and its determinants, and separately analyses the technical efficiency of dairy technology adopting and non-adopting farmers using data from Ethiopia. Cobb-Douglas stochastic frontier production function was modeled in the context of local level agricultural innovation systems framework and estimated using 2011 milk production data on 304 dairy farmers. Results show that the mean level of technical efficiency among the sampled farmers was about 26%. This result suggests that there is room for significant increases of production through reallocation of existing resources. Despite significant variation among farmers, these results also indicate only 19% of farmers have mean efficiency scores （_〉 50%）, implying a need to focus on creating innovation capacity that pushes the production frontier outward in the dairy production system. It is also revealed that individual farm households＇ efficiency varied widely across dairy technology adoption status, gender and districts. The significant gamma （g） statistic, of 0.9985 in the analysis indicates that about 99.85% variation in the output of milk production would be attributed to technical inefficiency effects （those under farmer＇s control） while only 0.0015% would be due to random effects, i.e., beyond the farmers control and hence calling for a focus on efficiency enhancing investments. Education, farm size, extension visit and off-farm income opportunity were found to be efficiency enhancing. The study recommends that different components of an agricultural innovation system have to interact to improve the innovation capacity of different actors and thereby improve the estimated technical inefficiencies.展开更多
文摘In the 14th Five-Year Plan period(2021-2025),China has vowed to pursue high-quality industrial development.The digital economy drives high-quality industrial development by creating means of production,reducing transaction costs,transforming industrial organization,and improving the efficiency of resource allocation.The digital factor has become a key factor of production for high-quality development.Digital and user-created innovations are the new normal for cross-sectoral integration and innovation.Great progress has been made in China'high-quality industrial development driven by the digital economy.The rapid development of digital industries and industrial digitalization have reshaped the industrial division of labor and helped the ascension of related industries towards the medium-and high-end links of the global value chains.However,China still faces numerous challenges in the development of its digital economy;it lacks indigenous industrial innovation,depends on foreign supply of core technologies,and is ill-prepared for industrial digitalization.Much work remains to be done to further coordinate the development of some industries and foster digital ecosystems for the symbiosis of industrial chains.In furthering the high-quality industrial development driven by the digital economy,China should stay at the forefront of digital innovation,promote digital governance,enhance data factor agglomeration,and foster digital talents.
文摘At present,the global economic crisiscontinues to spread across the world.Theeconomies of all countries are sliding into aslump,trade protectionism is gaining ground,andexport orders have declined substantially for productprocessing and trading enterprises.Chinesefurniture companies are suffering from certainnegative impacts.China,as a large furniture producer,should draw lessons from this global economiccrisis.Furniture companies should enhancetheir capabilities of independent innovation andbrand building,increase product quality,and addvalue.In order to reduce losses from foreign technicalbarriers to trade,relevant departmentsshould strengthen their ability to respond to foreigntechnical regulation,standard,conformity assessment,inspection,and quarantine.Because agreat variety of environmental regulations areemerging endlessly,furniture companies must doa good job of producing green label certificationand actively respond to green trade barriers.
基金provided by the National Natural Science Foundation of China (No. 70972098)
文摘Taking the city of Qitaihe is as an example in order to provide practical methods for the selection of leading industries for coal resource cities, this paper establishes the specific operation scheme for selection of leading industries according to the actual situation of coal resource cities based on the theory of coupling coordination together with the coupling coordination for technological innovation. The results show that the degree for coupling coordination of the technological innovation for each alternative industry differentiates with the development of coal resource cities. For example, the average degree of food processing industry from agricultural produce is 0.9. Therefore, coal resource cities should develop some industries related to coal industry, such as coking industry, some chemical and medicines industry and non-metallic mineral products manufacturing, in the near future, however, some industries with greater market and influence potentials and low carbon emissions should be attached much importance to in the future.
文摘This study provides estimates of smallholder household＇s production efficiency and its determinants, and separately analyses the technical efficiency of dairy technology adopting and non-adopting farmers using data from Ethiopia. Cobb-Douglas stochastic frontier production function was modeled in the context of local level agricultural innovation systems framework and estimated using 2011 milk production data on 304 dairy farmers. Results show that the mean level of technical efficiency among the sampled farmers was about 26%. This result suggests that there is room for significant increases of production through reallocation of existing resources. Despite significant variation among farmers, these results also indicate only 19% of farmers have mean efficiency scores （_〉 50%）, implying a need to focus on creating innovation capacity that pushes the production frontier outward in the dairy production system. It is also revealed that individual farm households＇ efficiency varied widely across dairy technology adoption status, gender and districts. The significant gamma （g） statistic, of 0.9985 in the analysis indicates that about 99.85% variation in the output of milk production would be attributed to technical inefficiency effects （those under farmer＇s control） while only 0.0015% would be due to random effects, i.e., beyond the farmers control and hence calling for a focus on efficiency enhancing investments. Education, farm size, extension visit and off-farm income opportunity were found to be efficiency enhancing. The study recommends that different components of an agricultural innovation system have to interact to improve the innovation capacity of different actors and thereby improve the estimated technical inefficiencies.
