Agriculture Biomaterial Industry in Romania

2021 ◽  
Vol 10 (1) ◽  
pp. 32-44
Author(s):  
Irina Bancescu
Keyword(s):  
Rural Development ◽  
Rural Areas ◽  
Urban Areas ◽  
Rural Poverty ◽  
Value Added ◽  
Poverty Rate ◽  
Economic Implications ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural

Rural areas in Romania are underdeveloped, with the main economic activity being agriculture. Urban-rural income gap and poverty levels are indicative of an underdeveloped rural area. Urban-rural absolute income gap for average monthly income increased from 352 RON in 2007 to 663 RON in 2017. Moreover, the work poverty rate is higher in rural areas than in urban areas. Economic rural development can be achieved by improvements of the labour market and introduction of new value-added products. Agricultural and non-agricultural activities are dependent on each other for a successful rural development leading to poverty alleviation. An industry that combines the two types of economic activities is agriculture biomaterial industry. In this paper, the authos investigates the factors influencing rural poverty and analyses the current stage of the bioplastics market in Romania and its economic implications. Bioplastics industry can reduce urban-rural income gaps and poverty in rural areas.

scholarly journals Rural - urban income gap and labour market in Romania

2021 ◽  
Vol 95 ◽  
pp. 01003
Author(s):  
Irina Băncescu
Keyword(s):  
Labour Market ◽  
Rural Areas ◽  
Reverse Flow ◽  
Income Effect ◽  
Gap Effect ◽  
Migration Flow ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
Urban Income

Rural – urban income gap is an important social-economic development indicator for a society. A large rural - urban income gap within a society reveals a split of it into two distinct societies, one extremely poor compared to the other. In Romania, almost half of the resident population lives in rural areas (46.02% in 2019), while the urban-rural migration flow is higher than the traditional reverse flow since 1997. However, the country is characterized by regional economic disparities, Bucharest-Ilfov region being the most economically developed. Labour market in rural areas is underdeveloped, rural population being highly depended on subsistence agriculture. Furthermore, rural areas have a low level of income and living standards. In this paper, we analysis the rural-urban labour market dynamics and rural-urban income gap using a LMDI (logarithmic mean Divisia index) decomposition for 2005-2019 period. Factors such as income gap effect and structural rural income effect are considered. Results show that the total urban–rural income gap has decreased with 8.91%, while structural rural income effect contributed with an increase of only 0.63%, the income gap effect (of different employed population groups) being of -9.49%.

Would Urban–Rural Income Gap Affect Carbon Dioxide Emissions? Empirical Research Based on the Extended IPAT Model

2016 ◽  
Vol 04 (02) ◽  
pp. 1650014 ◽  
Author(s):  
Lei HU
Keyword(s):  
Carbon Dioxide ◽  
Energy Efficiency ◽  
Energy Conservation ◽  
Rural Areas ◽  
Carbon Dioxide Emissions ◽  
Emission Reduction ◽  
Empirical Test ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural

At present, there’s no agreement on how income gap affects carbon dioxide emissions. In this study, the author takes an empirical test of the relationship between income gap and carbon dioxide emissions based on the extended IPAT model, using China’s provincial panel data of from 2000 to 2012. The conclusion supports Boyce’s point of view that excessive income gap between urban and rural areas leads to environmental degradation. Meanwhile, the study introduces the cross terms of urban–rural income gap ratio and energy efficiency, and finds that excessive income gap would be an obstacle for China to achieve energy conservation and emission reduction by improving energy efficiency. Therefore, while promoting actions to climate change, energy conservation and emission reduction, governments should also narrow urban–rural income gap besides relying on the restrictions of relevant laws and regulations.

Rural credit input, labor transfer and urban–rural income gap: evidence from China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guohua Yu ◽  
Zheng Lu
Keyword(s):  
Rural Areas ◽  
Industrial Structure ◽  
Content Type ◽  
Rural Credit ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
Labor Transfer ◽  
Theoretical Mechanism ◽  
Agricultural Industries

PurposeThe purpose of this study is to elaborate the theoretical mechanism of rural credit input affecting the urban–rural income gap from the perspective of labor transfer, and use a dynamic panel mediation model to test the transmission mechanism of rural credit input affecting the urban–rural income gap through labor transfer, so as to provide an empirical basis for narrowing the urban–rural income gap in China.Design/methodology/approachThis paper constructs a mechanism analysis framework for rural credit input affecting the urban–rural income gap. From the perspective of resource allocation and labor transfer, the authors expound the transmission path of rural credit input to the urban–rural income gap and analyze the theoretical mechanism of rural credit input that affects the urban–rural income gap through labor transfer. Based on this, this paper uses the dynamic panel mediation model to test the effect relationship between rural credit input, labor transfer and urban–rural income gap in 31 provinces of China from 2009 to 2018.FindingsIn theory, increasing rural credit input can ease the financial constraints on the development of “agriculture, rural areas and farmers” and provide capital accumulation for the development of rural non-agricultural industries. The development of rural non-agricultural industries can provide more jobs for rural surplus labor, thereby increasing the labor rate of return in rural areas, and ultimately conducive to narrowing the urban–rural income gap. Further, increasing rural credit input can improve the development level of rural non-agricultural industries, thereby promoting the transfer of agricultural labor. At the same time, rural credit input based on the intermediary variable of labor transfer has a significant inhibitory effect on the urban–rural income gap.Research limitations/implicationsThis study mainly focuses on the relationship between rural credit input, labor transfer and urban–rural income gap, so it is impossible to use micro-level data to further verify the impact of rural credit input on labor transfer. At the same time, the collection of indicators of rural credit investment in the China Financial Yearbook only started in 2009, which limited the number of samples to a certain extent.Practical implicationsThis paper assumes that the economy is mainly composed of urban and rural economic sectors. Therefore, labor can flow freely between urban and rural areas. However, in the near future, China's rural secondary and tertiary industries may develop rapidly, especially with the in-depth implementation of rural revitalization strategy, it is very important to pay attention to the current situation of rural industrial structure and incorporate the factors such as rural industrial structure into the existing model.Social implicationsThis study attempts to provide a new perspective and inspiration for rural credit input, the optimal allocation of labor force and narrowing the urban–rural income gap under China's rural revitalization strategy.Originality/valueBased on the analysis framework of neoclassical economic theory, this paper uses the constant elasticity of substitution production function to establish an urban–rural two-sector nested model that includes credit supply variables and analyzes the mechanism of rural credit input affecting the urban–rural income gap through labor transfer.

scholarly journals Effect of the International Tourism Island Policy on Hainan Farmers’ Income and the Urban–Rural Income Gap: An Analysis Based on the GPCA and SCM Models

2021 ◽  
Vol 25 (5) ◽  
pp. 592-600
Author(s):  
He Xia ◽  
Shaoying Wu ◽  
◽  
Keyword(s):  
Rural Areas ◽  
Control Method ◽  
Principal Component ◽  
International Tourism ◽  
Kuznets Curve ◽  
Synthetic Control ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
Urban And Rural Areas

The construction of Hainan International Tourism Island, one of the national strategies in China, implemented in January 2010. A common concern is whether the policy has managed to raise farmers’ income and reduce the income gap between urban and rural residents. Therefore, this study aims to make counterfactual causal inferences based on data from 2005 to 2018 on Hainan Province. This study applies both the generalized principal component analysis method and the synthetic control method. According to the model results, the policy did not increase farmers’ income in Hainan or narrow the income gap between urban and rural areas in the first five years. However, after 2014, the result reversed. The increasing farmers’ income and narrowing gap indicate that the tourism-related Kuznets curve hypothesis is valid for the policy. The results of a placebo test verify the robustness of this conclusion.

scholarly journals The role of animal breeding with special regard to native pigs of food supply and rural development in Laos

2020 ◽  
pp. 149-154
Author(s):  
Somsy Xayalath ◽  
Eszter Balogh ◽  
József Rátky
Keyword(s):  
Rural Development ◽  
Rural Areas ◽  
Poverty Reduction ◽  
Lao Pdr ◽  
Rural Poverty ◽  
Poverty Rate ◽  
Final Decision ◽  
Pig Performance ◽  
The Government ◽  
Native Pigs

The present paper explored the influence of breeding native pigs on livelihood conditions and the contribution of native pigs to the rural development and rural poverty reduction in the rural areas of Lao PDR. Pig production plays an important role in meat supply for both urban and rural areas of Laos. It is clear that most of the pig products in the country come from smallholder pig farms, and more than 90 percent of those products are the native pigs mostly raised by farmers in remote areas. In general, livestock production distributed between 15–18 percent to GDP, while most of animal production still remains as the traditional methods. Rural development is always the first priority of the Laos government since its independence in 1975, however, the poverty rate in rural areas remained high at 23% in 2018. It might block the development goal of the government which will lead the country out of the least development status by 2020. The food security and malnutrition in the rural or mountainous areas are considered as the majority issue that both government and several international organizations have been thriving hard to overcome, which researchers showed that more than 45% of children under 5 years of age were stunted, and 28% of them were underweight. Inspired of more than 50 % of the households in the rural areas of Laos reported they consumed chicken and pork at least one day a week. While native pigs play an important role on meat supply, it also constituted around 9–14 % of annual income of the households in rural areas. Therefore, the increase the production of pigs and poultry is one option to promote the meat supply to households in the rural areas of Laos. This paper will be a pathway to guide and identify for the final decision to what experiment will be implemented on Lao native pig in Laos (2021–2023) to complete the comparative study on reproductive physiology and reproductive management methods of Hungarian and Lao Indigenous pig breed. Which found it still needs further afford to research and improve more about native pig performance for all areas of productive and quality management.

scholarly journals Does High-Speed Railway Influence Convergence of Urban-Rural Income Gap in China?

2020 ◽  
Vol 12 (10) ◽  
pp. 4236
Author(s):  
Weidong Li ◽  
Xuefang Wang ◽  
Olli-Pekka Hilmola
Keyword(s):  
Rural Areas ◽  
High Speed ◽  
Factor Model ◽  
High Speed Railway ◽  
Income Gap ◽  
Rural Income ◽  
Convergence Clubs ◽  
Convergence Club ◽  
Urban Rural ◽  
Urban And Rural Areas

Transportation is an important factor affecting the balance of regional economic pattern. The construction of high-speed railway enhances the mobility of population, capital, technology and information resources between urban and rural areas. Will it further affect the income gap between urban and rural areas? Based on the nonlinear time-varying factor model, this paper analyzes the convergence of urban-rural income gap with the angle of high-speed railway. After rejecting the assumption of overall convergence in the traditional four economic regions, three convergence clubs of urban-rural income gap were found. For these ordered logit regression model is used to explore the initial factors that may affect the formation of “convergence club”. Empirical results show that the construction of High-speed railway has effectively narrows the urban-rural income gap in China, but it is not the cause of the formation of the three convergence clubs. The convergence effect of High-speed railway on the urban-rural income gap in China is still relatively weak.

scholarly journals Urbanization and the Urban–Rural Income Gap in China: A Continuous Wavelet Coherency Analysis

2020 ◽  
Vol 12 (19) ◽  
pp. 8261
Author(s):  
Yiguo Chen ◽  
Peng Luo ◽  
Tsangyao Chang
Keyword(s):  
Rural Areas ◽  
Local Governments ◽  
Coordinated Development ◽  
High Frequencies ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
Urban And Rural Areas ◽  
Wavelet Coherency ◽  
The Relationship

This study applies wavelet analysis to examine the relationship between the urbanization and the urban–rural income gap in 31 provinces in China over the period 1978–2019. We find three patterns of causality between urbanization and the urban–rural income gap. Empirical results show that urbanization does Granger-cause an urban–rural income gap, the urban–rural income gap does Granger-cause urbanization, and there exists a two-way causality between the urban–rural income gap and urbanization. Furthermore, these relationships mainly exist at high frequencies (short term). The results obtained by considering the resident population are more significant than those by the registered population. These results could help local governments develop fair policies for urban and rural income distribution in the process of urbanization of different provinces, promoting the coordinated development between urban and rural areas.

scholarly journals Spatiotemporal differentiation of urban-rural income disparity and its driving force in the Yangtze River Economic Belt during 2000-2017

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245961
Author(s):  
Lingling Chen ◽  
Wei Shen
Keyword(s):  
Rural Areas ◽  
Spatial Differentiation ◽  
Economic Factors ◽  
Income Gap ◽  
Rural Income ◽  
Natural Factors ◽  
Urban Rural ◽  
Differentiation Pattern ◽  
Urban And Rural Areas ◽  
Socio Economic Factors

The income imbalance between urban and rural areas has seriously affected social fairness and justice and has become a key factor restricting the sustainable development of the economy and society. The analysis of the spatiotemporal laws and causes of urban-rural income disparity is of great significance to realizing the coordinated and integrated development of regional urban and rural areas. In this study, the coefficient of variation, Theil decomposition index, spatial autocorrelation method and GeoDetector model were used to analyze the spatiotemporal characteristics of the urban-rural income gap and its driving force in the Yangtze River Economic Belt from 2000 to 2017. The results show that the per capita disposable income of urban and rural residents in the study area shows a trend of rapid growth from 2000 to 2017. The urban-rural income gap in the study area showed an inverted "U"-shaped development process as a whole, and the relative difference showed an increasing trend. Regarding the spatial pattern, the study area showed a significant east-west differentiation pattern. The spatial distribution of the urban-rural income gap in the study area has an obvious positive spatial correlation, that is, the phenomena of high-value agglomeration and low-value agglomeration were significant. The economic development level, the industrial structure, the regional development policy, transportation, topographical conditions and resource endowments can strongly explain the spatial differentiation pattern of the urban-rural income gap in the study area. The spatial differentiation pattern of the urban-rural income gap is affected by both natural factors and socioeconomic factors. Among them, socioeconomic factors are the dominant factors, followed by natural factors. There is a significant interaction between natural factors and socio-economic factors, and the combination of socio-economic factors and adverse natural factors can significantly affect the regional urban-rural income gap.

scholarly journals Effectiveness of Government Policies in Controlling COVID-19 in India

2020 ◽  
pp. 002073142098374
Author(s):  
Ashutosh Pandey ◽  
Nitin Kishore Saxena
Keyword(s):  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Urban Population ◽  
Demographic Factors ◽  
Poverty Rate ◽  
Government Policies ◽  
Cumulative Number ◽  
Population Number

The purpose of this study is to find the demographic factors associated with the spread of COVID-19 and to suggest a measure for identifying the effectiveness of government policies in controlling COVID-19. The study hypothesizes that the cumulative number of confirmed COVID-19 patients depends on the urban population, rural population, number of persons older than 50, population density, and poverty rate. A log-linear model is used to test the stated hypothesis, with the cumulative number of confirmed COVID-19 patients up to period [Formula: see text] as a dependent variable and demographic factors as an independent variable. The policy effectiveness indicator is calculated by taking the difference of the COVID rank of the [Formula: see text]th state based on the predicted model and the actual COVID rank of the [Formula: see text]th state[Formula: see text]Our study finds that the urban population significantly impacts the spread of COVID-19. On the other hand, demographic factors such as rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus, people residing in urban areas face a significant threat of COVID-19 as compared to people in rural areas.

Urban–Rural Dichotomy in Planning: Review of Legal Framework in Four States of India

2021 ◽  
pp. 001955612110016
Author(s):  
Anurima Mukherjee Basu ◽  
Rutool Sharma
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Planning Process ◽  
Legal Framework ◽  
Quantum Jump ◽  
Class 1 ◽  
Urban Settlements ◽  
Urban Rural ◽  
Territorial Approach ◽  
Sizeable Number

Current urbanisation trends in India show a quantum jump in number of ‘census towns’, which are not statutorily declared as urban areas, but have acquired all characteristics of urban settlements. Sizeable number of such census towns are not located near any Class 1 city. Lack of proper and timely planning has led to unplanned growth of these settlements. This article is based on a review of planning legislations, institutional framework and planning process of four states in India. The present article analyses the scope and limitations of the planning process adopted in the rapidly urbanising rural areas of these states. The findings reveal that states are still following a conventional approach to planning that treats ‘urban’ and ‘rural’ as separate categories and highlights the need for adopting an integrated territorial approach to planning of settlements.

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