Rice land protection in a transitional economy: The case of Vietnam

The article examines the issues concerning links between institutional economics, Post Keynesian economics, models of endogenous growth and transition economics. The author considers interrelations between ineffective institutional environment, too high degree of fundamental uncertainty, investor myopia and resulting decrease in investment and "negative" growth in Russia’s transitional economy.

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Factors Affecting the Use and Consequences of Management Accounting Practices in A Transitional Economy: The Case of Vietnam

Journal of Economics and Development ◽

10.33301/2016.18.01.04 ◽

2016 ◽

pp. 54-73 ◽

Cited By ~ 2

Author(s):

Anh Doan Ngoc Phi

Keyword(s):

Significant Influence ◽

Quantitative Data ◽

Structural Equation ◽

Qualitative Data ◽

Management Accounting ◽

Transitional Economy ◽

Equation Modeling ◽

Enterprise Performance ◽

Factors Affecting

This study seeks to help fill an important gap in the literature by investigating factors that have facilitated the use of management accounting practices (MAPs) in Vietnam - a transitional economy. Data were collected from 220 medium-to-large enterprises. Follow-up interviews were conducted with 20 accounting heads/vice heads to obtain further information and clarification. The quantitative data collected was analyzed using both descriptive and inferential statistics (including t-tests and structural equation modeling), while the qualitative data was used to shed further light on the various relationships described by the quantitative analysis. This paper reveals that both decentralization and competition have a positive, significant influence on the use of new MAPs except for the old ones. Consequently, the use of MAPs has a positive, significant influence on enterprise performance.

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Economic Crisis and Political Participation in a Transitional Economy: Evidence from Russia

SSRN Electronic Journal ◽

10.2139/ssrn.1026255 ◽

2007 ◽

Author(s):

Altay Mussurov ◽

Paul Mosley

Keyword(s):

Political Participation ◽

Economic Crisis ◽

Transitional Economy

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Polska Pipe Works: Managing an IJV in the Transitional Economy of Poland

SSRN Electronic Journal ◽

10.2139/ssrn.1117229 ◽

2001 ◽

Author(s):

Charles A. Rarick ◽

Gregory Winter

Keyword(s):

Transitional Economy

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Administrative Rituals and Reproduction of Corruption in Public Administration of a Transitional Economy

SSRN Electronic Journal ◽

10.2139/ssrn.3436021 ◽

2019 ◽

Author(s):

Gedion Onyango

Keyword(s):

Public Administration ◽

Transitional Economy

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Planning for the future

10.1093/oso/9780198739135.003.0009 ◽

2018 ◽

Author(s):

Karen J. Esler ◽

Anna L. Jacobsen ◽

R. Brandon Pratt

Keyword(s):

Best Practice ◽

Integrated Management ◽

Biodiversity Loss ◽

Future Climate Change ◽

Land Sharing ◽

Land Protection ◽

Land Sparing ◽

Habitat Conversion ◽

Sustainable Conservation ◽

Terrestrial Biomes

Mediterranean-type climate (MTC) regions are highlighted in several global analyses of conservation risk and priorities. These regions have undergone high levels of habitat conversion and yet of all terrestrial biomes they have the second lowest level of land protection. With transformation pressures set to continue (Chapter 8), planning for a sustainable conservation future in MTC regions is therefore essential. Conservation activities are represented by a variety of philosophies and motives, partially driven by the underlying differences in transformation drivers and sociopolitical contexts across MTC regions. These activities include investment in, and best-practice management of, protected areas (land sparing), an interdisciplinary focus on integrated management of production landscapes (land sharing; stewardship), as well as ecological restoration to increase habitat, improve connectivity, and provide a hedge against the impacts of future climate change. These responses need to be applied in a strategic, synergistic manner to minimize future biodiversity loss.

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Forest Land Quality Evaluation and the Protection Zoning of Subtropical Humid Evergreen Broadleaf Forest Region Based on the PSO-TOPSIS Model and the Local Indicator of Spatial Association: A Case Study of Hefeng County, Hubei Province, China

Forests ◽

10.3390/f12030325 ◽

2021 ◽

Vol 12 (3) ◽

pp. 325

Author(s):

Li Wang ◽

Yong Zhou ◽

Qing Li ◽

Qian Zuo ◽

Haoran Gao ◽

...

Keyword(s):

Spatial Distribution ◽

Quality Evaluation ◽

Spatial Association ◽

Forest Land ◽

Mountain Regions ◽

Land Quality ◽

Land Protection ◽

Protection Zones ◽

Forest Region ◽

Topsis Model

Forest land is the carrier for growing forests. It is of great significance to evaluate the forest land quality scientifically and delineate forestland protection zones reasonably for realizing better forest land management, promoting ecological civilization construction, and coping with global climate change. In this study, taking Hefeng County, Hubei Province, a subtropical humid evergreen broad-leaved forest region in China, as the study area, 14 indicators were selected from four dimensions—climatic conditions, terrain, soil conditions, and socioeconomics—to construct a forest land quality evaluation index system. Based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model, we introduced the Particle Swarm Optimization (PSO) algorithm to design the evaluation model to evaluate the forest land quality and analyze the distribution of forest land quality in Hefeng. Further, we used the Local Indicator of Spatial Association (LISA) to explore the spatial distribution of forest land quality and delineate the forest land protection zones. The results showed the following: (1) the overall quality of forest land was high, with some variability between regions. The range of Forest Land Quality Index (FLQI) in Hefeng was 0.4091–0.8601, with a mean value of 0.6337. The forest land quality grades were mainly first and second grade, with the higher-grade forest land mainly distributed in the central and southeastern low mountain regions of Zouma, Wuli, and Yanzi. The lower-grade forest land was mainly distributed in the northwestern middle and high mountain regions of Zhongying, Taiping, and Rongmei. (2) The global spatial autocorrelation index of forest land quality in Hefeng County was 0.7562, indicating that the forest land quality in the county had a strong spatial similarity. The spatial distribution of similarity types high-high (HH) and low-low (LL) was more clustered, while the spatial distribution of dissimilarity types high-low (HL) and low-high (LH) was generally dispersed. (3) Based on the LISA of forest land quality, forest land protection zones were divided into three types: key protection zones (KPZs), active protection zones (APZs), and general protection zones (GPZs). The forest land protection zoning basically coincided with the forest land quality. Combining the characteristics of self-correlated types in different forestland protection zones, corresponding management and protection measures were proposed. This showed that the PSO-TOPSIS model can be effectively used for forest land quality evaluation. At the same time, the spatial attributes of forest land were incorporated into the development of forest land protection zoning scheme, which expands the method of forest land protection zoning, and can provide a scientific basis and methodological reference for the reasonable formulation of forest land use planning in Hefeng County, while also serving as a reference for similar regions and countries.

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Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index

Sustainability ◽

10.3390/su13095274 ◽

2021 ◽

Vol 13 (9) ◽

pp. 5274

Author(s):

Xinyang Yu ◽

Younggu Her ◽

Xicun Zhu ◽

Changhe Lu ◽

Xuefei Li

Keyword(s):

Arable Land ◽

Ground Truth ◽

Northwest China ◽

Hexi Corridor ◽

Ground Truth Data ◽

Land Protection ◽

Promising Tool ◽

Study Results ◽

Multi Temporal ◽

The Mean

Development of a high-accuracy method to extract arable land using effective data sources is crucial to detect and monitor arable land dynamics, servicing land protection and sustainable development. In this study, a new arable land extraction index (ALEI) based on spectral analysis was proposed, examined by ground truth data, and then applied to the Hexi Corridor in northwest China. The arable land and its change patterns during 1990–2020 were extracted and identified using 40 Landsat TM/OLI images acquired in 1990, 2000, 2010, and 2020. The results demonstrated that the proposed method can distinguish arable land areas accurately, with the User’s (Producer’s) accuracy and overall accuracy (kappa coefficient) exceeding 0.90 (0.88) and 0.89 (0.87), respectively. The mean relative error calculated using field survey data obtained in 2012 and 2020 was 0.169 and 0.191, respectively, indicating the feasibility of the ALEI method in arable land extracting. The study found that arable land area in the Hexi Corridor was 13217.58 km2 in 2020, significantly increased by 25.33% compared to that in 1990. At 10-year intervals, the arable land experienced different change patterns. The study results indicate that ALEI index is a promising tool used to effectively extract arable land in the arid area.

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