scholarly journals Degree of Abandoned Cropland and Socioeconomic Impact Factors in China: Multi-Level Analysis Model Based on the Farmer and District/County Levels

Land ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 8
Author(s):  
Chong Jiang ◽  
Wei Song

At present, abandoned cropland has become a common phenomenon spreading to countries around the world. China has seen widespread abandoned cropland in recent years. However, there are extremely few empirical studies of cropland abandonment and influencing factors nationwide. In this study, survey data from 8071 farmer households in 14 Chinese provinces were used to analyze the degree of cropland abandonment in China and its spatial distribution. A multi-level model was constructed to quantitatively explore the socioeconomic factors affecting the degree of cropland abandonment, at both the farmer and district/county levels. The results show that: (1) the proportion of farmers and the spatial distribution of abandoned cropland are consistent. (2) Chongqing City, Guangdong Province, and Shanxi Province are high-value areas of abandoned cropland, while Shandong, Liaoning, Henan and Jiangsu provinces are low-value areas. (3) Among the differences in cropland abandonment, 68.5% and 31.5% can be explained at the farmer and district/county level, respectively. (4) At the farmer level, all labor and cropland transfer indicators, including land labor quantity per unit area, male agricultural labor ratio, farmers mainly of middle-aged labor, cropland transfer area and cropland subcontract amount, have significant negative effects on the degree of abandoned cropland. There is a significant negative correlation between the value of agricultural operating fixed assets in the agricultural input indicators and the degree of abandoned cropland, but participation in professional, cooperative, economic, agricultural organizations has no significant impact on the degree of abandoned cropland. The per capita disposable income, which represents the quality of life indicator, has a significant positive impact on the degree of abandoned cropland. (5) At the district/county level, the proportion of the total co-working labor force and the transfer rate of cropland are negatively related to the degree of cropland abandonment, and the proportion of the co-working labor force outside the district/county is positively related to the degree of cropland abandonment. In addition, we briefly analyzed the mechanism and process of cropland abandonment from the perspective of farmers’ decision-making. Finally, the policy suggestions to alleviate the abandonment of cropland were put forward from the district/county and farmer level, respectively.

2019 ◽  
Vol 11 (5) ◽  
pp. 1367 ◽  
Author(s):  
Yuchen Guo ◽  
Wei Song

Cropland abandonment (CRA) is an extreme case of cropland marginalization. With the continuous development of global industrialization and urbanization, the phenomenon of CRA gradually spreads from developed countries such as eastern and western European countries and the United States to developing countries such as China, especially in regions with poor geographical conditions such as mountainous areas. However, research on CRA in developing countries is sparse, and adequate identification methods and spatial distribution information are lacking in China, impeding the comprehensive understanding of the status quo of CRA as well as the formulation of related policies and measures. Therefore, taking Wushan County in Chongqing as an example, we developed a CRA extraction method to identify cropland. Landsat 8 OLI_TIRS remote sensing images were adopted in the extraction. Subsequently, Google Earth images were used to verify the extraction results, and the extraction accuracy of abandoned cropland plaques reached 89.33%. The CRA rate in Wushan between 2011 and 2016 was 28.71%, and abandoned cropland was highly scattered across the region. In areas above 800 m and with slopes of more than 15°, large areas were abandoned. However, an increasing irrigation radius resulted in higher labor costs and, ultimately, larger abandoned areas. Using the Conversion of Land Use and its Effects-Small (CLUE-S) model, the CRA status under different scenarios was simulated, and under the scenario of economic development, the CRA rate in the next 20 years was as low as 28.84%, while under the scenario of natural growth, the rate reached 33.54%. When the model used the scenario of ecological protection, the cropland area in Wushan County decreased significantly, and the CRA rate reached 42.11%.


2020 ◽  
Vol 2 (4) ◽  
pp. 44-52
Author(s):  
Yoseph Awunim ◽  
Abdul Rahman Kadir ◽  
Mahlia Muis

The research objective is to analyze the direct impact of leadership toward transfer knowledge and work effectiveness in Boven Digoel. Data analysis in this research is quantitative using a path analysis model (path analysis) with the help of Smart PLS Software version 3.2 .8. The research distributed questionnaires to 89 respondents of officers assigned at the secretariat office in Boven Digoel Regency. On the basis of statistical results, it was found that leadership can be said to have impacted positively and significant knowledge transfer and work effectiveness. The knowledge transfer also has a positive impact on work effectiveness.


2020 ◽  
Vol 3 (8) ◽  
pp. 27-34
Author(s):  
Jekaterina Livdāne ◽  
Iluta Arbidāne

The aim is to present common approach of processing of information as one of the main aspects for qualitative risk analysis, including all three components – threat, vulnerability and impact, in all levels: strategic, operational and tactical. The theoretical methodology is based on guidelines of common integrated risk analysis model (CIRAM), implemented in Schengen member states (MS) as a part of integrated border management (IBM). Based on the main task – to view particular legal bases and using historical research, analytical and descriptive methods, the legal bases of IBM in the field of risk analysis was explained, at first. Special attention was paid for description of each step of intelligent cycle, because only scrupulous following of methodology guaranteed the high quality of the product in situations when analytical units have huge amount of data from different sources every day. Different kinds of risk analysis (annual, quarterly, monthly, weekly or targeted for specific measures) are performed by European Border and Coast Guard (EBCG) and MS using the CIRAM methodology. Huge data flows should be managed in a structured way. The knowledge and practical implementation of CIRAM has a positive impact on overall internal security in the area of free movement. For this purpose, the amount of trained border guards was analysed. 


2020 ◽  
Vol 3 (2) ◽  
pp. 250-272
Author(s):  
Rikha Ayu Minda Kharisma ◽  
Rahmawati Zulfiningrum

AbstrakMasyarakat  cyber merupakan  salah satu bentuk penciptaan  budaya baru yang disebabkan  oleh perkembangan  teknologi informasi dan komunikasi. Teknologi saat ini memiliki banyak manfaat untuk membantu masyarakat dalam menyelesaikan  aktivitas  rutinnya,  dimana  digitalisasi  telah  terjadi  di  berbagai bidang dan menjadi kebiasaan baru masyarakat. Searching, salah satu film yang diproduksi tahun 2018 ini mengisahkan fenomena teknologi. Film tersebut menggambarkan bahwa menemukan orang hilang dengan rekam jejak digital adalah mungkin dan bisa menjadi jalan keluarnya. Lebih jauh, film ini tidak hanya menampilkan dampak positif dari teknologi tetapi juga menyuguhkan sisi negatifnya.  Penelitian  ini bertujuan  untuk mengetahui representasi  masyarakat cyber dalam film Searching. Peneliti menggunakan  metode penelitian deskriptif kualitatif dengan model analisis semiotika Roland Barthes. Teori dalam penelitian ini menggunakan  Teori Representasi  Stuart  Hall. Hasil penelitian  menunjukkan bahwa terdapat lima representasi  dari masyarakat cyber. Pertama,  komunikasi yang menggunakan  media aplikasi. Kedua, menciptakan  identitas baru di dunia maya.   Ketiga,   menggunakan  website   untuk   mencari   informasi.   Keempat, kebebasan berpendapat di dunia maya, dan yang terakhir adalah kecanduan internet. Masyarakat  perlu meningkatkan  kesadaran  akan dampak penggunaan teknologi agar bisa hidup bijak di era digital.  Kata kunci: Film searching, Masyarakat cyber, Representasi, Semiotika, Teknologi AbstractThe cyber society is a form of creating a new culture caused by the development of information and communication technology. Nowadays, technology bring the advantages to help people accomplished  their routine activities, where digitalization  has  occurred  in  various  fields  and  has  become a new  habit  for society. Searching, one of the movies that produce in 2018 is portray the phenomenon  of technology.  The film described  that finding the missing people with a digital track record is possible and could be the way out. Furthermore, this film not only show the positive impact of technology but also state the negative side. This study aims to determine the representations of cyber society in film title Searching. The researcher uses qualitative descriptive method research with semiotics of Roland  Barthes  analysis  model.  The theory  in  this  study uses the theory  representation  of  Stuart  Hall.  The  results  showed  that  there  are  five representations of cyber society. First, communication  using media applications. Second,  creating  a new  identity  in cyberspace.  Third,  use  the  website  to  find information.  Fourth,  freedom  of speech  in cyberspace,  and the last is internet addiction.   The  public  needs  to  increase  the  awareness  for  the  impacts  of technology uses in order to live wisely in the digital era.Keywords: Cyber society, Representation, Searching movie, Semiotic, Technology


2018 ◽  
Vol 1 (1) ◽  
pp. p13
Author(s):  
Lamia Jamel

Waste management in Tunisia is currently one of the priorities of environmental protection and is one of the main pillars of sustainable development. Thus, Tunisia has opted for a comprehensive and progressive policy of environmental protection in order to manage with the current state of the object affected by the strong economic growth and the environment rapid urban expansion in recent years. The area of ​​waste management has received attention currently given the quantity produced changes in the multiplicity of forms and aspects of pollution caused by waste, and limited resources used in the field of solid waste management. During this, our research has been devoted to the study of the phenomenon of industrial waste management by recycling in Tunisia. We employ a model based on a time series analysis model for a period of 17 years from 2000 to 2016. Additionally, we estimate the ability to manage industrial waste recycling based on variables related to the business of recycling industrial waste, variables related to the intervention of Tunisia policy in the management of industrial waste recycling and macroeconomic indicators. From the empirical findings, we conclude that the macro-economic indicators have a negative impact on the dependent variable. The variables related to the intervention of Tunisia policy in industrial waste management through recycling have a positive impact and a negative impact depending on the nature of the waste. And finally, the variable relative to the activity of recycling industrial waste TRDI has a positive impact and DIG variable has a negative impact.


2021 ◽  
Vol 13 (20) ◽  
pp. 11350
Author(s):  
Jun Yao ◽  
Huajing Li ◽  
Di Shang ◽  
Luyang Ding

Constructing and exploring the evolution mechanism of an industrial innovation ecosystem in resource-based cities (RBCs) is the most effective way to solve the contradiction between economic development, energy shortage, and environmental degradation. Taking 10 typical RBCs in Shanxi Province as examples, this paper used the method of system dynamics (SD) to build a model of the industrial innovation ecosystem of RBCs and set up scenarios to simulate and predict the evolution of the industrial innovation ecosystem of RBCs. The results showed that the industrial innovation ecosystem of RBCs is a complex system composed of four subsystems: innovation players, innovation content, innovation resources, and innovation environment. In innovation players, the increase in the amount of talent has a more obvious effect on technology level and GDP than R&D funding. In innovation content, the improvement of management level has a slow and continuous positive impact on GDP. Technology achievements, once implemented, will improve GDP more than management progress does. In innovation resources, human capital has greater potential for an increase in GDP and per capita consumption expenditure. In innovation resources, technology level plays an important role in slowing down the deterioration of the ecological environment. This study enriched the theoretical paradigm of the research on the industrial innovation ecosystem, and provided effective strategies to solve the development problems of RBCs.


2019 ◽  
Vol 11 (10) ◽  
pp. 2764
Author(s):  
Kai Ren ◽  
Jianqiang Yang

The development of the social landscape of towns and villages at the county level in China currently lacks sustainability and urgently needs to be optimized. By developing a compound ecological capital system, the optimization of the social landscape will be an important process. Based on the dialectical relationship between landscape production and landscape sustainability, a theoretical framework is proposed as a paradigm of landscape structure. By highlighting the culture base and life proposed in ecosystem services (ES) described in the common international classification of ecosystem services (CICES) methodology, we propose a new social landscape order. We used Hequ County, Shanxi Province, China as the study case, evaluating the ecology level of social capital by gravity. In this paper, four types of optimization approaches for social landscape structure are proposed: completing urbanization (urbanized approach), shaping social landscape (prioritized development approach), protecting nature (scale-controlled approach), and increasing agricultural landscape (migrated and merged approach).


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Piotr Wójcik ◽  
Mariola Ciszewska-Mlinarič

Purpose The purpose of this study is to explore how individual-level cognitive and organizational-level behavioral factors influence the level of firms’ export performance as firms adapt to the challenges of foreign expansion. Design/methodology/approach Based on the literature on dynamic capabilities (DCs) and international business, the study introduces a multi-level model of DC to internationalize and test it empirically on a sample of 93 Polish exporting firms using structural equation modeling. Findings The results show a strong and positive impact of the “strategy as stretch” managerial mind-set on two behavioral elements, namely, business modeling and partnering capability. Global mind-set has a strong and positive impact on business modeling and learning about foreign markets and a negative but insignificant effect on partnering capability. Only two of the three behavioral elements of the conceptualized DC have significant and positive impacts on export performance. In contrast to the expectations, the direct path coefficient from learning about foreign markets to export performance was found to be positive but insignificant. Originality/value This study contributes to the literature by offering a coherent, multi-level framework of DCs. The study goes beyond previous conceptualizations of DCs and considers various individual-level cognitive and organizational-level behavioral elements of DC for the internationalization of exporting firms. In particular, this study shows the interplay between them and their combined impact on export performance.


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