How the Village Cadres of Southern Jiangsu Province Became Mobile

The spatial restructuring of village systems is an important means by which to promote rural revitalization. A large number of villages with small average areas bring great challenges to the implementation of the Rural Revitalization Strategy (RRS) in China. To promote the implementation of the RRS, it is necessary to restructure the village system. This paper proposes a method of spatial restructuring for the village system at the county level, oriented toward the RRS. This study proposes a village classification system with central villages, characteristic villages, and merged villages. It also accounts for the role of various villages in the RRS and proposes differentiated development strategies. This study involved the construction of a village centrality index system and a central village selection model aligned with the RRS. Taking the district of Jintan in Jiangsu Province as a case study for the empirical analysis, the results show that the applicability of the model to the study area is good. Using this model, 32 central villages and 10 characteristic villages were selected. After restructuring the village system, the number of villages decreased by 69.1%. The results from analyzing the travel time radius of the central villages show that 71.5% of the land in the evaluation area lies within a 15 min commute of the central villages, and 96.5% lies within 25 min, indicating that the locations and number of the selected central villages are reasonable. Compared with the service area of the village system before the restructure, the average service area of the central villages is 3.4 times larger, which helps to improve the infrastructure and public service efficiency of the central villages. By guiding resources to aggregate in the central villages and promoting the comprehensive consolidation of land in the merged villages, the restructuring of the village system can help further the success of the RRS in Jintan.

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The Study on the Operating Efficiency of Rural Banks Based on DEA Model: A Case of Jiangsu Province

International Journal of Economics and Finance ◽

10.5539/ijef.v9n8p212 ◽

2017 ◽

Vol 9 (8) ◽

pp. 212 ◽

Cited By ~ 1

Author(s):

Xu Lingjuan ◽

Wang Yanjun ◽

Zhu Huailei

Keyword(s):

Commercial Banks ◽

Yangtze River Delta ◽

Jiangsu Province ◽

Operating Efficiency ◽

Dea Model ◽

Management Fees ◽

Net Profit ◽

Different Types ◽

Southern Jiangsu ◽

Business And Management

The paper takes Jiangsu province as example in Yangtze River Delta, which is economically developed regions. According to previous research and characteristics of rural banks in Jiangsu Province, the input indexes are selected as the number of employees, the number of outlets, total deposits, business and management fees. And the output indexes include total loans, net interest income and net profit. Using DEA model to analyze the operating efficiency of the 65 rural banks in 2016, the paper compares the operating efficiency in different regions and different types of originating bank. The analysis shows that, compared with the central and northern Jiangsu, operating efficiency of rural banks in southern Jiangsu is generally high. The comprehensive technical efficiency value of sample banks that originated by the state-owned banks and joint-stock banks is significantly higher than that originated by rural commercial banks and city commercial banks. Finally, the paper puts forward some suggestions on how to improve the operating efficiency of rural banks.

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Huangyan Taizhou

Journal of the International Phonetic Association ◽

10.1017/s0025100321000189 ◽

2021 ◽

pp. 1-15

Author(s):

Jeroen van de Weijer ◽

Marjoleine Sloos ◽

Yunyun Ran

Keyword(s):

Jiangsu Province ◽

Zhejiang Province ◽

Southern Jiangsu ◽

The City

Huangyan dialect (, local name: [wɔ̤ɲjɛ˜̤wa̤]) is a variety of Taizhou dialect () as spoken in Zhejiang Province in China1 (see Figure 1).2 Huangyan District had a population of 616,000 people in 2019.3 The Zhejiang Taizhou dialect belongs to the Wu dialect group, which forms the second largest dialect group in China (after Mandarin). The language genealogy of Huangyan is presented in Figure 2. Wu dialects are spoken in the city of Shanghai, Zhejiang Province, southern Jiangsu Province and bordering areas (see Figure 3), an area with an estimated population of 80 million people in 2013 (Lewis 2009). The Wu dialects are not mutually intelligible with (Standard) Mandarin and often not even with each other (Norman 2003, Wang 2014).

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Function Transformation to Adapt to Aging Development in Small Towns in Southern Jiangsu Province

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.448-453.4079 ◽

2013 ◽

Vol 448-453 ◽

pp. 4079-4084

Author(s):

Zong Yu Chen ◽

Qian Xu ◽

Yao Zhi Huang

Keyword(s):

Small Towns ◽

Jiangsu Province ◽

Ecological Environment ◽

Land Resource ◽

Silver Age ◽

Function Transformation ◽

Resource Endowment ◽

Southern Jiangsu ◽

Gathering Place ◽

Key Nodes

With the unique geographic position and our own resources advantage, the functions undertaken by small towns in southern Jiangsu Province shall be transformed under the background of aging. By analyzing the key nodes of function transformation in small towns in southern Jiangsu Province and combining the requirements of current urban development situation, we make clear that the urban functions must transform to adapt to aging. Moreover, combing our own resource endowment of adaptive aging development, we make an analysis from the four aspects of location advantage, economic strength, land resource advantage and ecological environment advantage and propose the countermeasures for function transformation to adapt to aging development in small towns in southern Jiangsu Province in order to make them become a gathering place for the aged and the gather of silver age industry, and adapt to the challenges brought by aging development.

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