Factors affecting rural development in turkey: Bartın case study

YILMAZ>, Bülent; Daşdemir, İsmet; Atmış, Erdoğan; Lise, Wietze

doi:10.1016/j.forpol.2010.02.003

Cited by 45 publications

(35 citation statements)

References 17 publications

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“…At the fi rst stage of data evaluation, principal component analysis was used to divide variables into groups to determine the most important facGroups, variables, labels, units and some statistics of the variables Table 4 ( Harman 1967, Yılmaz et al 2010. Among the 26 variables in the data set, the QUALT variable was the only variable to have a dominant factor loading in both factors 1 and 3.…”

Section: Resultsmentioning

confidence: 99%

“…Factor analysis (Harman 1967, Yılmaz et al 2010) was used to evaluate all variables simultaneously and to determine the most important factors affecting the production yield rate. For factor analysis, a data matrix with N x n (26 x 41) dimensions was input to a principal component model using the Varimax criterion and Kaiser Normalization (Hair et al 1992).…”

Section: Evaluation Of Datamentioning

confidence: 99%

“…The most important variables affecting yield rate in the factor analysis were investigated using regression analyses. Production units were divided into groups according to yield values and the sensitiveness of this new grouping was tested using discriminate analysis (Yılmaz et al 2010). The ArcMap 10, MS Offi ce and SPSS 18.0 software packages were used to process, transfer and statistically analyze the data.…”

Section: Evaluation Of Datamentioning

confidence: 99%

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Factors affecting industrial wood, material production yield in Turkey’s natural beech forests

Atik

YILMAZ>

2014

Ann. For. Res.

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Abstract. The objectives of the present study are to determine the most important factors affecting industrial wood material production yield in natural oriental beech forests in Turkey using a multifaceted approach and to help entrepreneurs consider these factors to develop more sensitive and realistic production plans. In Günye Forest Management in Bartın province of the West Black Sea Region of Turkey, 41 production units were chosen as the study area. The 1277 ha study area was included in the 2007 and 2010 production management plan. The general state of the stand, natural stand structure, and production methods and tools are the factors thought most strongly affect industrial wood material production yield; 26 variables representing these factors were evaluated in the study. Through multidimensional statistical analyses, including main components, factor and regression analysis, we found that the most important factors affecting production yield were fertility, aspect of land, skidding method, stand structure, skidding distance, growing stock, transportation and harmful abiotic factors. Production units were divided into three groups based on yield rates and the 26 variables, using discriminate analysis. From the results of the study, a sample model can be developed to help forest managers predict and plan annual industrial wood production more sensitively and realistically.

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Section: Resultsmentioning

confidence: 99%

Section: Evaluation Of Datamentioning

confidence: 99%

Section: Evaluation Of Datamentioning

confidence: 99%

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Factors affecting industrial wood, material production yield in Turkey’s natural beech forests

Atik

YILMAZ>

2014

Ann. For. Res.

Self Cite

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“…There are four major elements of rural development, which are economic, social, cultural-human and environment [1,2]. In fact, the economic level of specific counties is also a factor for determining the degree of rural area development.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the existence of a well-established body of research data regarding differential economic performance, specific research into this issue in rural areas only truly began in the late 1980s and early 1990s [1]. The perception of rural development has undergone considerable changes in the past 30 years, and it has become a multi-dimensional issue [2]. Academicians have paid a great deal of attention to the importance of natural resources, environmental dimensions of rural development and economic dimensions [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Characteristics of Rural Economic Development in Eastern Coastal China

Wang

et al. 2015

Sustainability

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Although the regional differences of rural economic development can be easily determined, a challenging problem for research studies regarding rural economic development has been the inter-relatedness between different areas, and this challenge has been noted remarkably little in research data to date. As an empirical investigation, this study analyzes the spatio-temporal characteristics of rural economic development from a period beginning in 1978 to the year 2012, in the eastern coastal region of China. In order to determine the special differentiation characteristics of rural economic development, three indexes, namely the Gini coefficient (G), Tsui-Wang index (TW) and Theil index (T), were employed. To explore the inter-relatedness among the different areas, we selected a spatial autocorrelation model. The results indicated that, to a large extent, rural economic development from 1978 to 2012 in the eastern coastal region of China was greatly influenced, and the per capita annual net income changed significantly, due to the process of rapid urbanization and industrialization. Generally speaking, the annual net income constantly increased, from 87.7 USD in 1978 to 1628.1 USD in 2012. However, the calculation results indicated that the per capita income gap in the same province decreased, while the gap between the provinces presented an aggregate trend. The regional polarization widened continuously. It was also found that the spatial positive autocorrelation for the regional economy was significant, with a waving and ascending trend, and the neighbor effect of regional economic growth was continuously strengthened. Qualitative analysis of the driving mechanism was applied, and it was determined that there are three primary factors affecting the development of the rural regions, namely resource endowments, economic location and policies. OPEN ACCESSSustainability 2015, 7 1543

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Sustainable Rural Development Model to Face Climate Changes, and Sustain Cashew Production, in Mozambique

Nuvunga

Martinho

Porfírio

2020

Handbook of Climate Change Management

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The majority of the Mozambican population lives in the rural areas, where poverty is most prevalent and climate changes show an increasing impact. Paradoxically, agriculture is the main economic activity and the basis for improving the livelihood of the rural communities. This chapter presents a literature review on the main factors of rural development and climate change adaptations in southern Mozambique and similar regions of sub-Saharan Africa. This review allows us to determine the main variables that affect rural development and climate change adaptations. This study concluded that both rural development and climate change adaptations in sub-Saharan Africa are mostly determined by the same variables, which we classify in three main domains of rural development drivers: physical resources, soft resources, and institutional resources. The variables identified will later be integrated in a rural development model, specifically conceived to address overall rural development, including climate change adaptations. This model, which we've named agricultural district, is then proposed as the beginning of a general conceptual model of development that could form the bases of a new sustainable rural development model, since it addresses simultaneously the adaptation to climate change, increase of agricultural productivity, as well as global and integrated growth of rural areas in Mozambique. This study is part of an exploratory work that will be followed by future research, which will include field interviews to key informants to refine the terms of a questionnaire that will be conducted with smallholder farmers dedicated mainly to cashew production in three districts of Gaza province, southern Mozambique. Future research will inform on the progress that rural communities in these areas are making toward the implementation of Sustainable Development Goals, particularly in regard to adaptations to climate change.

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Factors affecting rural development in turkey: Bartın case study

Cited by 45 publications

References 17 publications

Factors affecting industrial wood, material production yield in Turkey’s natural beech forests

Factors affecting industrial wood, material production yield in Turkey’s natural beech forests

Spatio-Temporal Characteristics of Rural Economic Development in Eastern Coastal China

Sustainable Rural Development Model to Face Climate Changes, and Sustain Cashew Production, in Mozambique

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