期刊：
Microprocessors and Microsystems,2021年81:103725 ISSN：0141-9331
通讯作者：
Xiaonan Ding
作者机构：
[Ding, Xiaonan] Wuhan Univ, Coll Econ & Management, Wuhan 430000, Hubei, Peoples R China.;[Shi, Pengfei] Southwest Univ, Coll Econ & Management, Chongqing 400000, Peoples R China.;[Li, Xingming] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430000, Hubei, Peoples R China.
通讯机构：
[Xiaonan Ding] C;College of Economics and Management, Wuhan University, Wuhan, Hubei, 430000, China
关键词：
Field-programmable gate array (FPGA);Internet of things (IoT);Agriculture market equilibrium;Economic Analysis;Market agencies
摘要：
Increasing the demand for smart regional logistics in terms of quality and quantity demands industrialization and strengthening economic sectors. The Internet of Things is a future technology that can provide many innovative solutions for the modernization of economic sectors. Research institutes and research groups continue to work hard to provide solutions and products to solve various financial problems using the Internet of Things. The Field-Programmable Gate Array (FPGA)-based embedded Internet of Things (IoT) system is the preferred communication source for the regional intelligent logistics labor market balancing system to balance marketability and flexibility in the economic field. In the local smart logistics market, labor can be received as a commodity. The financial sector has achieved a balance between these labor markets in various uses of the nonlogistics labor market, usually with intermediaries pushing labor to market groups and relocating it elsewhere. Workers and employers work with the labor market. Guiding regional intelligent logic economic market analysis, currency boundaries affect the low and high performance of registrations. The logistics market has established equilibrium conditions to reveal the swirling effects of currency fluctuations caused by reserves use. The balancing method in the smart logistics market shows the immediate and bypassing impact of rural sector profits on revenue performance, revenue value, and investment in use, revenue, and salary strategies. The traditional MIP structure is modified to avoid resource conflicts with Application-Specific Integrated Circuit (ASIC) components. The essential concepts for designing this type of Million Instructions per Second (MIPS) include core, and its implementation effects are analyzed. Second, ECOMIPS also seeks to create customizable and reusable structures to bridge the gap between microprocessors and ASICs.
摘要：
Tourism economic development is increasingly dependent on resources and environment. Exploring the relationship between tourism economic development and ecological-environmental (eco-environmental) stress is of great significance to promote the high-quality growth of tourism and the sustainable and coordinated development of ecological environment. By constructing a tourism economic development index and an eco-environmental stress index, this study analyzes the temporal and spatial evolution of tourism economic development and eco-environmental stress from 2009 to 2018 in China. It uses a decoupling model to evaluate the relationship between tourism economic development and ecological-environmental stress, and analyzes the reasons for the changes of decoupling relationship. The results show that: (1) During the study period, the development of tourism economy and the eco-environmental stress present a certain time-space effect characteristics. The stress index of China's tourism economic development and ecological environment showed a fluctuating trend of first decreasing and then increasing, with obvious spatial hierarchical differences and weak agglomeration characteristics, and prominent regional imbalances. The tourism economic development level in the eastern region was higher than that in the central and western regions, while the ecological environment stress in the central region was greater than that in the eastern and western regions. (2) The relationship between tourism economic development and ecological environmental stress of China's provinces has experienced eight states: Expansive negative decoupling, strong negative decoupling, weak negative decoupling, recessive coupling, expansive coupling, strong decoupling, weak decoupling, and recessive decoupling. During the study period, the state of optimal strong decoupling tends to weaken. Under the constraints of local policy orientation and regional economic development level, the overall decoupling optimization could not be achieved spatially. The decoupling state was always in an unsustainable non-optimal stage. (3) The reasons for the differential changes in the decoupling index between tourism economic development and ecological environmental stress in Chinese provinces come from investment-driven, resource-driven, innovation-driven, and environmental compliance push. This study can provide practical reference for promoting the high-quality development of tourism and the sustainable development of ecological environment.
关键词：
China;green total factor productivity;measurement;spatial variation;tourism industry
摘要：
Promoting tourism in China using sustainable practices has become a very important issue. In order to analyze temporal characteristics and spatial regularities of green total factor productivity (GTFP), carbon emissions and the consumption of energy related to tourism in China were estimated using a "bottom-up" method. The construction of a measurement framework (including carbon emissions and energy consumption) of GTFP for the tourism industry was also undertaken. The data envelopment analysis (DEA) model and the Malmquist-Luenberger (ML) index were used to measure and calculate tourism GTFP in China between 2007 and 2018, as well as analyze spatio-temporal differences. Results indicate that: (1) carbon emissions and the consumption of energy are increasing, and they have not yet peaked, with traffic associated with tourism accounting for the largest proportion among tourism sectors; the spatial distribution of carbon emissions and the consumption of energy is not balanced; (2) green development of tourism in China has achieved a good level of performance during the study period, driven by technical efficiency. Since 2014, pure technical efficiency (PE) has been >1, indicating that the tourism industry in China has entered a stage of change and promotion; (3) significant spatial differences exist in tourism GTFP in China. For example, the overall pattern of being strongest in the east and weakest in the west has not changed. Currently, eastern, central, and western regions in China rely on different dynamic mechanisms to promote tourism green development. In addition, some provinces have become the core or secondary growth poles of tourism green development in China.
