Agricultural Growth Rate Research Articles

Mathematical analysis of a real time dynamical system: Interaction between Agricultural Variables

In this study, we are interested in the investigation and analysis of a mathematical model for the growth of normal agricultural biomass. The model is divided into four compartments as normal Agricultural assets, auxiliary Agricultural assets, Industrial assets, and Ecospherical assets. We applied the Laplace Decomposition Method to obtain approximate solutions in the form of infinite series and numerical justification was performed on the model parameter values with the aid of Maple 18 software. We studied the effect of varying the growth rate of normal agriculture on the yield of agricultural assets and mathematical analyses of the model equation to its uniqueness and stability of equilibrium are carried out. From the results, it was observed that the yield of normal Agricultural assets decreases due to the decrease in the growth rate coefficient of normal agriculture from 10 % to 90 % and the yield of normal Agricultural assets increases due to the increase in the growth rate coefficient of normal agriculture from 110 % to 190 %. We observed a loss in biodiversity when the growth rate coefficients of normal agriculture decreased from 90 %, 20 %, and 10 %, and a biodiversity gain was observed due to the increase of the growth rate coefficients of normal Agriculture from 110 % to 190 %.

Análisis de los principales indicadores socioeconómicos del sector agropecuario ecuatoriano (2000-2022)

The agricultural sector in Ecuador, a key player in the country’s economic system, is currently facing important challenges that threaten the sustainability of production. Consequently, the objective of this research was to analyze the main socioeconomic indicators of the Equatorian agricultural sector during the 2000-2022 period. Using a descriptive methodology with quantitative and analytical-synthetic methods, information was sourced from BCE and INEC. Results show that agricultural activities contribute 7.92% to Ecuador’s GDP, generate 35% of foreign exchange earnings, and yield 94.84% of the food consumed by the population. However, agricultural production is concentrated on a few primary goods. In addition, the agricultural frontier has been reduced in recent years, there is evidence of a process of disinvestment by the State in the agricultural sector, and the agricultural GDP growth rate shows a downward trend. Therefore, current administrations in Ecuador have not attempted to change to a model that would honor the efforts of the rural population.

Examining resilience indices and influencing factors in Xishuangbanna Community Conserved Areas, southwest China

Community Conserved Areas exemplify a harmonious interplay between human and nature, contributing to biodiversity conservation. Nonetheless, their sustainability faces jeopardy due to social disruptions. Taking Xishuangbanna as an example, we explore the social-ecological system resilience of Community Conserved Areas at the regional level, taking the disturbances caused by human social activities as the entry point, and construct a resilience evaluation index system based on the pressure-state-response model, evaluating its resilience, and analyzing in depth the factors influencing it. Taking into consideration the pressure, status and response, the percentage of townships with resilience levels ranging from Level V to Level I are 20 %, 23 %, 20 %, 27 % and 10 %, respectively. Among the prominent social factors affecting the resilience of Xishuangbanna’s Community Conserved Areas, the hierarchy of influence, ranked in descending pressure, encompasses: agricultural development, population growth and urbanization rate. The status hierarchy is largely dependent on the quality of resources and the condition of the community. Within the response hierarchy, we have explored factors such as education, traditional culture and forest conservation are key. Our study extends the comprehension of socio-ecological resilience within Community Conserved Areas to encompass the regional scale. This clarification underscores the pivotal role of management systems in fortifying social-ecological system resilience, laying a foundation for regional conservation and management efforts.

ESTIMATING OF OKUN'S RELATIONSHIP IN IRAQI AGRICULTURAL SECTOR FOR THE PERIOD 1998-2019 USING BOOTSTRAP ARDL METHODOLOGY

This study was aimed to test the relationship between the unemployment rate and agricultural growth rates in the agricultural sector of Iraq according to Okun's Law for the period 1998-2019. The differences and gap versions of Okun's Law for the relationship was conducted, Alongside with Hodrick-Prescott (HP) filter to find the potential production and the Baxter-King (BK) filter to find the trend of unemployment for the agricultural sector, and then to find production and unemployment gaps. Bootstrapping method was used to generate data because the lack of data and Augmented ARDL to identify the cointegration. The result of independent-F test at the level was insignificant with a value of 1.49 for the differences model, that is less than the critical value which is 9.26 of the 0.05 level of significance. While the result of independent-F test at the level of the gap model was 1.89, which is less than the critical value which is 12.8 at 0.05 the level of significance. Thus, confirming the absence of a co-integration relationship between the two variables. This result confirms the complete absence of Okun's relationship with the two versions in the Iraqi agricultural sector.

LEVELS OF SOCIO- ECONOMIC DEVELOPMENT IN HINDOLI TEHSIL OF RAJASTHAN

Any state's social growth is characterized by the improvement of resource and human connections. The socioeconomic level of the state is determined by factors like regional development, education, health, access to clean water, transportation and communication, electricity, etc. As a result, social facilities serve as the benchmark for measuring and assessing regional growth. Studying the state of social infrastructure in a developing nation like India becomes vital to assess the rising prosperity and welfare work in that region or region. In terms of social work, Hindoli tehsil ranks behind other tehsils of Rajasthan. The extension of social services has been extremely slow in comparison to the rate of agricultural growth and employment opportunities in this area. Different areas of the tehsil have had varying rates of economic development in accordance with their geographical characteristics. The development of social infrastructures like educational institutions, health services, all weather roads, electrification, drinking water facilities, communication services, etc. is as a result conspicuously uneven. The research report under assessment makes recommendations for the correct, expansion of social facilities in the tehsil.

LEVELS OF SOCIO- ECONOMIC DEVELOPMENT IN HINDOLI TEHSIL OF RAJASTHAN

Any state's social growth is characterized by the improvement of resource and human connections. The socioeconomic level of the state is determined by factors like regional development, education, health, access to clean water, transportation and communication, electricity, etc. As a result, social facilities serve as the benchmark for measuring and assessing regional growth. Studying the state of social infrastructure in a developing nation like India becomes vital to assess the rising prosperity and welfare work in that region or region. In terms of social work, Hindoli tehsil ranks behind other tehsils of Rajasthan. The extension of social services has been extremely slow in comparison to the rate of agricultural growth and employment opportunities in this area. Different areas of the tehsil have had varying rates of economic development in accordance with their geographical characteristics. The development of social infrastructures like educational institutions, health services, all weather roads, electrification, drinking water facilities, communication services, etc. is as a result conspicuously uneven. The research report under assessment makes recommendations for the correct, expansion of social facilities in the tehsil.

The role of investing in agriculture for sustainable economic development

In conditions of global economic instability, as well as during a shock such as COVID-19, the world faces challenges to provide the planet with food. Historically, the main element of Kazakhstan economic specification is agriculture. Despite that Kazakhstan has resource and export potential, the current trend in the agricultural industry is not the country’s full power to ensure the economic accessibility of food and its physical availability not only to satisfy domestic demand, but also for export. A reason for this is that the amount of state funds allocated to this industry is insufficient despite its annual growth. In this regard, the role of investments in the agro-industrial complex is increasing in the country’s economy. This article presents an analysis of the share of agriculture in the structure of the economy of Kazakhstan and reveals its insignificant share. In this regard, ways to solve this problem have been proposed by expanding the volume of agriculture through the use of innovative methods and attracting investors to this industry for this purpose, which will ensure an increase in the growth rate of agriculture and sustainable growth of the country's economy. The study identified the limiting factors for the growth of investment in the agricultural sector in the conditions of the new reality.

A Study of Fluctuation and Development Trend in Kharif Rice Cultivation in Odisha, India

It has been a concern in Odisha to see stable agricultural growth rates. Since rice is the main crop grown in the state, the current study's goals are to determine the district wise growth rate of area, production, and yield of kharif rice as well as to determine the degree of instability in those districts of Odisha. The study is based on secondary source of data on area, yield and production of kharif rice in the districts of Odisha from the period 1994-95 to 2017-18. The data are obtained from various volumes of Odisha Agriculture Statistics published by Directorate of Agriculture and Food Production, Government of Odisha. The growth rates for area, production and yield of kharif rice were computed for the districts of Odisha using exponential model. Cuddy Della Valle’s instability index was used to analyze the instability in area, production and yield of kharif rice in districts of Odisha. The compound growth rate in case of area was highest in Malkangiri and Subarnapur Districts. Lowest growth rate found in Kandhamal district. Compound growth rate for production are significant and highest in Subarnapur, Sundargarh, Jagatsinghpur and Boudh districts. Maximum districts showing positive growth rate in production and yield. Instability index for area of kharif rice in all districts of Odisha is insignificant except Bargarh and Jharsuguda which have significant Instability Index, which reveals that for the State, area is more stable as compared to that of yield and production. Despite stability of area, the instability of yield leads to instability of production.

The Impact of Human Development Variables on Agricultural Growth in Iraq for The Period 1990 - 2022

Despite the importance of agricultural sector in Iraq, the reality indicates the inability of this sector to meet the needs required of it, as the reason for this lies in the fact that it is managed by individuals who do not possess the most basic elements of human development, the study aims to measure and explain the impact of human development variables in raising the agricultural growth rate in Iraq during the period from 1990-2022. In order to apply the quantitative aspect of the study, the agricultural output growth rate was adopted as a dependent variable Y. As for independent variables, they included agricultural capital X1, mechanical technology X2, chemical technology X3, agricultural labor X4 and agricultural education X5, depending on the statically software E-views10 and its tests according to the ordinary least squares method (OLS), the results showed the significance of the variables of capital and chemical technology with a positive effect in agricultural growth rate in short and long terms. The negative significant effect of mechanical technology and labor force appeared only in long term, while agricultural education appeared to have a significant and positive effect in the long term. The most important conclusions were reached was that human resources contribute to the development of agricultural businesses until they are considered the main means of achieving large-scale production. We recommend increasing government spending in the areas of education, training and rehabilitation in rural Iraq, as it enables the population to employ their skills and experience in raising the rate of agricultural growth.

Prediction of Agricultural Growth Rate as a Result of Agricultural Reforms

Prediction of Agricultural Growth Rate as a Result of Agricultural Reforms

Chinese Agriculture for “Green and Grain” Productivity Growth: Evidence from Jiangsu Province

China is striving to leverage the power of science and technology to green its agriculture and simultaneously enhance grain productivity. To assess the performance dynamics of the dual agricultural mission, this study presents the green growth rate of agriculture using the DEA-based Green Total Factor Productivity (GTFP) indicator, together with the growth rate of grain yields, and applies it to the case of Jiangsu, a major grain-producing province with a well-developed economy. It is found that Jiangsu’s agriculture has generally performed well during the implementation of the two major national strategies addressing green development and grain security, especially in northern Jiangsu, which is a major grain-producing area. In contrast, the phased fluctuations in green growth in agriculture in southern Jiangsu are more pronounced, with negative green growth even occurring during the green agriculture movement. Much of the volatility in agricultural green growth at the provincial, subregional and municipal levels is generated by the effects of the movement of the green technology frontier, which is led by the best practitioners. Accordingly, the possibility of improving the weak state of the catch-up effect on green growth is explored from the perspective of the Chinese government-led agricultural science and innovation system; it also traces the green agricultural initiatives in the main grain-marketing areas that have failed to deliver the expected green growth, and recommends a review of such policies and a refinement of the GTFP Index tool for assessing sustainable green growth.

Do counter-sanctions in agriculture promote growth? Evidence from Russia

ABSTRACTThis study evaluates the effect of the Russian agri-food embargo introduced in 2014. The embargo was expected to boost growth in Russian agriculture due to an import substitution policy. To isolate its effect on the Russian agricultural growth rate from other factors like currency devaluation, overall economic stagnation and external financial sanctions, we used the difference-in-differences method applied to regional-level data (2006–2017). The results reveal a positive effect of the embargo on agricultural growth. However, this effect did not cause long-term growth and was observed in 2015–2016. An additional acceleration in the growth rate of agriculture gross value added by 5.1 pp occurred across all Russian regions in 2015. A more prolonged and considerable two-year effect is found for regions that are key Russian agricultural producers (+12.3 pp), regions specialized in cattle breeds and livestock systems (+11.5 pp) and regions with a high share of agricultural holdings (+7.5 pp). The possible reasons of the short-term effect from agri-food embargo are sudden nature of the policies and absence of long-term prospects that undermined potential investments. Another possible reason is a lack of a corresponding industrial policy to incentivize agricultural equipment production.

Use of E-Technology in Organic Supply Chain: Enhancing the Growth of Organic Business

World agricultural sector has seen shifting significantly by suitably using e- technology. A good number of studies have been conducted on agriculture and food security. The growth rate of world organic farming or business increases to more than the growth rate of traditional agriculture. In Bangladesh the pace of growth of organic agriculture is insignificant. The organic agriculture or organic supply chain in Bangladesh was scarcely studied. Hence, an intensive study is needed for the organic agriculture industry to pursue the organic supply chain that leads to a promising growth of organic business. A great deal of research has been conducted to explore the factors that may influence the organic supply chain and growth of the organic business. This study aims to explore the influence of e-technology and the dynamics of the actors on the organic supply chain enhancing the growth of the organic business. By collecting data (primary data) using self-administrated questionnaires the research work was evaluated. A total of 389 responses from the organic agriculture industrial actors, consumers, and transporters were collected using stratified random sampling methods. To inspect and analyze data, Path Analysis and Structural Equation Modeling (SEM) techniques were used with AMOS. The research objectives of this study were accomplished and research hypotheses were supported. The results of the study indicated that the proposed model provided a good understanding of the factors influencing the organic supply chain. From the result, it was revealed that e-technology and dynamics of the actors of the organic supply chain influences the growth of organic business. This study theoretically offers useful information and collected data might help to further research relevant to the organic supply chain and the impact of factors and e-technology of the organic supply chain from various aspects.

Influence of Dynamics of Actors and Information on the Organic Supply Chain

The agricultural sector throughout the world has seen shifting significantly by suitably using e-technology. A good number of studies have been conducted on agriculture and food security. The growth rate of world organic farming or business increases to more than the growth rate of traditional agriculture. In Bangladesh the pace of growth of organic agriculture is insignificant. The organic agriculture or organic supply chain in Bangladesh was scarcely studied. Hence, an intensive study is needed for the organic agriculture industry to pursue the organic supply chain that leads to a promising growth of organic business. A great deal of research has been conducted to explore the factors that may influence the organic supply chain and growth of the organic business. Several theories such as the diffusion of innovation theory, theory of planned behavior, marketing system and price of organic products, and quality function deployment have been studied and proposed to enhance the understanding of the issue. The integration of all these literature and theories has attracted the researcher’s attention. Thus, this study aims to explore the influence of information systems, e-technology, and the dynamics of the actors (consumer, retailer, intermediaries, transporter, farmer, and basic suppliers) on the organic supply chain enhancing the growth of the organic business. By adopting secondary data with collected data (primary data) using self-administrated questionnaires the research work was evaluated. A total of 389 responses from the organic agriculture industrial actors, consumers, and transporters were collected using stratified random sampling methods. To inspect and analyze data, Path Analysis and Structural Equation Modeling (SEM) techniques were used with AMOS. The results of the study indicated that the proposed model provided a good understanding of the factors influencing the organic supply chain. From the result, it was also revealed that the organic supply chain has a significant impact on the growth of organic farming and organic consumers and the performance of organic businesses. The research objectives of this study were accomplished and all research hypotheses were supported. This study theoretically offers useful information and collected data might help to further research relevant to the organic supply chain. In addition, the study finds a way to foster a better understanding and knowledge of the organic supply chain. It is encouraged to do future research to study the factors and information and impact of the organic supply chain from various aspects.Keywords: organic supply chain, e-technology, organic agriculture, growth of organic business, SEM, AMOS

Agricultural loan pricing by banks in Ghana: a panel data analysis

PurposeThe cost of agricultural loans is a major constraint to the growth of the agriculture sector. This paper examines agricultural loan pricing by banks in Ghana using panel data analysis.Design/methodology/approachData were obtained from audited financial reports of 15 agricultural loan lending banks from 2010 to 2017. The study applies the random-effect model and the fixed-effect model in the analysis and uses the system generalized system method of moment to check the robustness of the results from the baseline models.FindingsThe study found that agricultural loan pricing by banks is significantly influenced by risk premium, cost of funds, loan impairment, agricultural growth rate and food inflation. Banks should leverage emerging technologies to de-risk agriculture loan pricing to allay the fear of default. Farmers should look for long-term and relatively cheaper funds to support agricultural loans. Increasing credit to the agricultural sector could increase output, thereby reducing food inflation uncertainty for competitive pricing of agricultural loans.Originality/valueAgriculture employs about 52% of Ghana's labor force, contributing about 20% to GDP. But it is “under” financed. This study leads the way in unraveling the factors accounting for the high prices of agricultural loans in Ghana. This study further contributes to policy development toward increasing credit to the agricultural sector.

Leadership in Agriculture: Artificial Intelligence for Modelling and Forecasting Growth in the Industry

The paper investigates the growth rates of agriculture as one of the leading industries, which serves as a catalyst for economic development and is intended to provide the population with food products and industry with raw materials. The main aim of the conducted research is to analyze the impact of agricultural reforms on the agricultural growth rates in Algeria. The systematic analysis of literary sources and methods of addressing the problem of agricultural growth indicates the existence of socio-economic, political, and institutional inhibitors of effective agricultural reclamation of the agricultural sector. Five inputs were used as parameters characterizing the development of the agricultural industry. These are the volume of agricultural financing, the volume of exploited agricultural area, the volume of developed agricultural machinery, the volume of agricultural labor, and the rural level of agricultural growth. Forecasting indicators of the development of the agricultural industry was carried out using the methods of min max scaler tool, ReLU, and RMSE. A machine learning model from the Python language built the artificial neural network model. The statistical data of the Ministry of Finance and Agriculture and the World Bank served as the information base for the study of the relationship between the amount of adopted and implemented agrarian reforms. The link between the number of agrarian reforms adopted and expressed was investigated using data from several areas of statistics, the Ministry of Finance and Agriculture, and the World Bank. The modelling results proved the positive influence of bank financing, the volume of exploited agricultural areas and the number of the population employed in agriculture on the growth rates of agriculture in Algeria in the long term. An increase in agricultural mechanization by one unit (tractors and agricultural equipment per 100 km2) contributes to the growth of indicators of agricultural development by 0.21%, and an increase in the number of people employed in agriculture per million will lead to a rise in the level of agricultural development by 12 %. Thus, the results of econometric modelling proved the positive impact of agricultural reforms on the development of agriculture after 2022. It contributes to the increase in the level of employment of the population and, ultimately, will have a positive effect on the future rate of economic growth in Algeria.

Heterogeneous Paths of Industrialization

Abstract Industrialization experiences differ substantially across countries. We use a benchmark model of structural change to shed light on the sources of this heterogeneity and, in particular, the phenomenon of premature deindustrialization. Our analysis leads to three key findings. First, benchmark models of structural change robustly generate hump-shaped patterns for the evolution of the industrial sector. Second, heterogeneous patterns of catch-up in sectoral productivities across countries can generate variation in industrialization experiences similar to those found in the data, including premature deindustrialization. Third, differences in the rate of agricultural productivity growth across economies can account for the majority of the variation in peak industrial employment shares.

Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China

The ecological security of cultivated land critically depends on maintaining the quality of the land under cultivation. For the security of the nation’s grain supply, the evaluation and early warning of cultivated land quality (CLQ) are essential. However, previous studies on the assessment of the ecological safety of CLQ only rigidly standardized the assessment indicators and failed to investigate the positive and negative trends and spatiotemporal driving factors of the indicators. The main objective of this study was to develop a drive–pressure–state–response (DPSR) model to identify the hierarchical structure of indicators, using an improved matter–element model to assess the CLQ in the black soil region of northeastern China from 2001 to 2020. A panel data model was employed to explore the crucial drivers of CLQ warnings. The findings reveal that socioeconomic development has a potential impact on the improvement of CLQ. CLQ is generally in a secure state, with 69.71% of cities with no warnings and only 3.46% and 0.13% of cities under serious and extreme warnings, respectively. Compared with 2001, the CLQ in 2020 effectively improved by socioeconomic development and the conservation and reasonable utilization of arable land. According to the early warning results, the cultivated land in the northern regions was of higher quality than that in the southern regions. Moreover, the CLQ was significantly positively correlated with the agricultural GDP growth rate, grain yield per unit of cultivated land area, annual precipitation, and the habitat quality index, and was significantly negatively correlated with land carrying capacity. The findings of this study can provide a scientific and targeted basis for black soil conservation and utilization.

Impact of Globalization on Indian Farmers

The agricultural sector is known to be the backbone of the Indian economy with an employment of 60% of the population in various agricultural, horticultural and allied activities. It contributes 18% to the GDP. India is the country which is known as agrarian economy. India entered in the process of globalization by 1991, when there was a severe economic crisis in the country. Indian Agriculture is directly linked with the global market and the focus of the agriculture changed from basic consumption to commercialization. After adoption of globalization in 1991 Indian agriculture growth rate increase but the economy condition of the farmers is not satisfactory because input cost is high and output cost is low

Current situation of agricultural economic development in Vinh Long in the context of international economic integration

The issue of agriculture, farmers and rural areas is an important issue that is closely related to the process of reform and opening for international integration. Agriculture plays an important role in the economy as it provides food for people and raw materials for manufacturing industry. The study uses a synthesis of literature review and secondary data statistics to provide theoretical foundations and agro-economic realities based on the following aspects: economic growth, production scale, quality and economic structure. The results show that the agricultural growth rate tends to increase, the agricultural economic restructuring has achieved positive results; besides, the agricultural economy of Vinh Long province still has some limitations such as climate change, fragmented production, etc. At the same time, the author also proposes some solutions to develop the agricultural economy in the world. Vinh Long province soon.