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1

Ramphul, O. "Agricultural exports and the growth of agriculture in India." Agricultural Economics (Zemědělská ekonomika) 59, No. 5 (2013): 211–18. http://dx.doi.org/10.17221/118/2012-agricecon.

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The study empirically investigates the causality between agricultural exports and gross domestic product (GDP) agriculture in India using the Granger causality test via Vector Error-Correction Model over the period 1970–1971 to 2009–2010. The results of unit-root tests suggest that the series of India’s GDP agriculture and farm exports are integrated of order one. The results of the Auto Regressive Distributed Lag bounds testing approach to co-integration show that there is a positive and stable long-run equilibrium relationship between India’s agricultural exports and GDP of agriculture. We find a unidirectional causal link running from farm exports to gross domestic product of agriculture. It indicates that in India, agricultural products export Granger causes the growth in GDP of agriculture, which supports the export-led growth hypothesis. It is suggested that in order to accelerate the agricultural growth rate in India, there is a need to implement the policies encouraging the agricultural exports.  
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2

Imran, Ali Baig, Safdar Ali Md., Salam Abdus, and Mohd. Khan Shah. "Agriculture, Manufacturing and Economic Growth in India: A Co-integration Analysis." Journal of Economics and Business 3, no. 3 (2020): 995–1004. https://doi.org/10.31014/aior.1992.03.03.255.

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This study examined the most debatable question of the last three-decade, i.e., "Does the agriculture growth affect economic growth? "And also assess the long-run relationship between the variables, namely agriculture, manufacturing and economic growth in India with the use of annually data from 1966-to 2016. The study employed unit root and causality test suggested by the Dicky fuller, Phillips-Perron and Granger, respectively. Besides, ARDL techniques used to analyze the relationship among the variables, i.e., agriculture, manufacturing and economic growth for the short as well as a long period. As per outcome, the result shows that uni-directional causality running from manufacturing and economic growth to agricultural growth. Furthermore, uni-directional causality running from economic growth to manufacturing growth in India. Results also showed that bidirectional causal relationship between economic and agriculture growth. It can be concluded that this study support of a very famous statement "agriculture is the engine of economic growth" this statement is valid for the short period of time, but manufacturing contributed more than agriculture sector to the economic growth in the long run in India.
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3

Ma, Hengyun, Jikun Huang, and Les Oxley. "Capital Formation and Agricultural Growth in China." Asian Economic Papers 12, no. 1 (2013): 166–90. http://dx.doi.org/10.1162/asep_a_00200.

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The paper considers the role and determinants of capital formation in Chinese agriculture and, in particular, the effects of capital formation on agricultural total factor productivity (TFP) growth. The results show that capital investment in agriculture by both government and farmers has risen significantly in the past two and a half decades, particularly in recent years. As China remains in the early stages of agricultural policy transition, its political economy would suggest that there will likely be more public investment in, and more subsidies to, agriculture in the coming years. Increased public investment in agriculture appears to have also induced increased farmers' capital formation in agriculture. Credit policy, the overall growth of farmer's income, rural wages, and comparative advantage of commodities are important factors that may facilitate farmers' investment in agriculture. The results also show that the successful growth of China's agriculture has been associated with its high TFP growth. Both public and private agricultural capital formations have played an important role in raising China's agricultural productivity. The TFP decomposition analyses show that technological change is a primary driver of the TFP growth in China's agriculture.
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4

Altaf, Hussain Padder. "An Analysis of Dissemination of Technology and Growth in Agriculture of Jammu & Kashmir." International Journal of Research and Analytical Reviews 8, no. 4 (2021): 827–37. https://doi.org/10.5281/zenodo.6657160.

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The present paper analyses the dissemination of technology and growth in agriculture in Jammu & Kashmir. It focuses on technological growth and its impact on agricultural production and productivity during the period from 2002-03 to 2011-12. The agricultural sector ironically supports more than 60% of employment, which is now transforming into other crops and un-agricultural purposes resulting in the rapid growth of unemployment. The paper also tried to analyse the growth pattern of the area, production and productivity of agricultural crops, changing pattern of modernization of agriculture and the relationship between technology and production in agriculture.  
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5

Etokakpan, Mfonobong, Festus Bekun, and A. Abubakar. "Examining the Tourism-Led Growth Hypothesis, Agricultural-Led Growth Hypothesis and Economic Growth in Top Agricultural Producing Economies." European Journal of Tourism Research 21 (March 1, 2019): 132–37. http://dx.doi.org/10.54055/ejtr.v21i.364.

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Most nations are striving to achieve sustainable economic growth. Among the diverse routes explored are tourism and agriculture. This study examines tourism-led growth hypothesis and agriculture-induced growth hypothesis in the context of the world top four agricultural producing economies in a multivariate balanced panel framework between 1995 and 2015. The findings from the bootstrap panel co-integration tests do not support a long-run relationship among the variables. Subsequently, causality test reveals a feedback relationship between international tourism receipt and economic growth. Thus, the tourism-led growth hypothesis is affirmed, while a uni-directional causality runs from agriculture to economic growth. Our findings affirm both the tourism-led and agriculture-led growth hypotheses. Hence, tourism and agriculture sectors are twin growth catalysts in the selected states, that is, both tourism and agriculture sectors have complementary effect on economic growth in the bloc investigated.
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6

Tripathi, Amarnath, and A. R. Prasad. "Agricultural Productivity Growth in India." Journal of Global Economy 4, no. 4 (2008): 322–28. http://dx.doi.org/10.1956/jge.v4i4.113.

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The case of Indian agricultural performance was impressive. The food production and increases in productivity are essential for meeting the growing demands for food in the future. There is widespread opinion that this growing demand can be met by increased use of inputs or increases in agricultural productivity. Productivity growth of agriculture in India over the past four decades was the result of a combination of factors such as new incentives to farmers offered by the government who considered them as autonomous economic agents, and physical factors such as land, labour, capital (in the form of machines, working animals, irrigation system, and so on), and intermediate inputs such as fertilizer. Indian agricultural growth has been less dependent on the conventional inputs of capital. Capital was computed as the sum of the value of agricultural machinery, farm equipment and tools, transport equipment in farm business, land improvements, investments in private and public irrigation, and farm houses in Indian agriculture. As the growth of agriculture increases the importance of conventional inputs of capital becomes lesser in comparison to modern inputs of capital. Since mid 1960s, a package of modern inputs of capital such as high yield variety seeds, chemical fertilizers, tractor etc. has been continuously used with increasing trend in Indian agriculture. This was main cause of the remarkable growth in output of agriculture during 1970s and 1980s decades. This paper is aimed at analyzing the impact of some production variables (input) on agricultural productivity growth (output) in Indian agriculture from 1969-70 to 2005-06. The question here is whether or not these different variables have an impact on agricultural production.
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7

Wu, Guoyong, Noman Riaz, and Waseem Akram. "UTILIZATION OF AGRICULTURAL WATER AND ECONOMIC GROWTH." Food and Agri Economics Review 2, no. 1 (2022): 18–21. http://dx.doi.org/10.26480/faer.01.2022.18.21.

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South Asia region has the largest agricultural land area and has the largest irrigated system for agriculture – abstracts groundwater for irrigation purposes. The world is facing water scarcity issues and South Asia is also facing the water-stressed due to high population growth. This study tried to examine the impact of water utilization in the agriculture sector and examined the agriculture sector impact on economic growth in South Asian countries. Water utilization means growth in the agriculture sector and it may cause an increase in economic growth. The study used data from South Asian countries (Pakistan, India, Bangladesh, Afghanistan, Sri Lanka, Nepal, Bhutan and Maldives) from 2001 to 2018. Data has been observed through graphical representation to understand the relationship of variables of interest. The results of the research showed that the utilization of water in analyzed countries is one of the reasons for the development of agriculture. Moreover, the development of agriculture may, among other factors, positively affect economic growth. In all the South Asian countries, utilization of water is not efficient some countries utilized the maximum amount of water and get more agricultural growth. Some countries utilized the minimum amount of water and got less agriculture growth. Pakistan, India and Sri Lanka utilized a large amount of water and got more agricultural growth. Afghanistan, Nepal and Bangladesh utilized less amount of water and got less agriculture growth. So, this is not an efficient way of getting agricultural output. Due to old techniques of agriculture production in South Asia, it causes the wastage of water. The developed countries use less input and get more outputs because of this modern era of technology. Also, results revealed that agriculture growth has a positive impact on economic growth for all these countries such as Pakistan, India, Sri Lanka, Afghanistan, Nepal and Bangladesh. It means South Asian countries are agricultural base countries.
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8

Gani, Azmat, and Jehad Yasin. "Agriculture and Growth in Oceania." Perspectives on Global Development and Technology 13, no. 4 (2014): 403–22. http://dx.doi.org/10.1163/15691497-12341309.

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This article examines the contribution of agriculture to the economic growth of countries in the Oceania region. The empirical analysis is based on a Cobb-Douglas production function. The estimation methodology follows a combined time-series and cross-sectional form using annual data for the period 1994 to 2006. The major finding of this article is that agricultural growth contributes to overall economic growth of countries in Oceania. In terms of the potential contributors to agricultural expansion, a positive and statistically significant influence of growth in output on the growth of the agricultural sector is confirmed; while a positive effect of government spending on the agricultural sector is also confirmed. The empirical evidence presented in this article leads to the suggestion that agriculture in Oceania ought to be given priority in terms of its long-term development through investment in physical and institutional infrastructure, market access, financial support, skill development and investment incentives.
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9

Laoh, Esry. "DINAMIKA TENAGA KERJA SEKTOR PERTANIAN DI PROVINSI SULAWESI UTARA." AGRI-SOSIOEKONOMI 8, no. 1 (2015): 19. http://dx.doi.org/10.35791/agrsosek.8.1.2012.7358.

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This study aims to determine the dynamics of agricultural labor force of North Sulawesi Province. Re-search location in Manado (July to August 2010). Collecting data is secondary data research. The data were processed using the calculation of share of labor and labor force growth rate calculations. The re-sults showed employment growth rate of agriculture sector decreased by 5.78 percent per annum in the period of 2000-2009. While employment in non-agricultural sector increased by 1.78 percent each year. This indicates there is the tendency of structural transformation of agriculture labor to non-agricultural sector. Low tendency of Trade will be able to influence farmers to reduce or stop activities that agribusi-ness will affect the size of the agricultural labor share. Labor share of agriculture sector on the basis of education level is dominated by the level of primary education during the period 2007-2009 but its labor force growth rate has decreased each year in both rural and urban areas. Labor share of the agricultur-al sector based on the age group was dominated by the age of 55 years and above over the 2007-2009 period and is indicated by increasing the growth rate of labor force in rural and urban areas especially in urban areas despite a decline each year that tend to occur due to an increased energy agricultural labor in rural areas. Labor share of agriculture sector by district / city dominated by Bolaang Mongon-dow during the period 2007-2009, although rates of employment growth in agriculture sector has de-creased each year in both rural and urban areas. Labor share of agriculture sector based on the out-pouring of work hours was dominated by workers who work full (>35 hours) during the period 2007-2009 despite the decline in employment growth rates in both rural and urban areas each year.Keywords: Dynamics of Agricultural Labor Force, Structural Transformation, Labor Share
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10

Vitunskienė, Vlada, and Lina Lauraitienė. "Green Growth in Agriculture: Long-Term Evidence from European Union Countries." Sustainability 17, no. 3 (2025): 1011. https://doi.org/10.3390/su17031011.

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In agriculture, the relationship between economic growth and environmental pressures is complex and difficult to measure and compare between countries. This study had two objectives; the first was to build a new green growth accounting framework for agriculture in relation to natural capital and air pollution, and the second was to assess the long-term green growth of agriculture in EU countries. The data for EU27 from 2005 to 2021 were collected and used in the empirical analysis of green growth in agriculture. The findings showed positive real growth in agriculture from both the economic growth and green growth perspectives in most EU countries in the long term. Slow changes in air pollution (expressed in net GHG emissions from agriculture) and in natural capital (expressed in quality-adjusted agricultural land) did not have a significant impact on green growth in agriculture. The empirical analysis also revealed that most EU countries increasingly rely on technological progress to promote agricultural growth, and half of them rely on investments in produced capital. Labour input only made a positive contribution to agricultural growth in Ireland and Malta. This study will significantly contribute to improving the measure of green growth in agriculture, and the results of the empirical analysis will be used by policymakers and economists.
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11

Jiking, Abason, Demshak, and Dr Chris AC-Ogbonna. "Impulse Response analysis, Agricultural Financing and EconomicGrowth in Nigeria." International Journal of Research in Social Science and Humanities 05, no. 09 (2024): 32–42. http://dx.doi.org/10.47505/ijrss.2024.9.3.

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The study examined theimpulse response analysis of the effectsof agricultural financing on economic growth in Nigeria from 1981 to 2020, using time series data on Economic growth rate, Deposit Money Banks loans to agriculture, Government capital and recurrent expenditure, Bank of Agriculture loans, and interest rate on agriculture loan obtained from the Central Bank of Nigeria statistical Bulletin and Annual Reports, National Bureau of Statistics, and Bank of Agriculture. Themethodology adopted in the study is the ARDL Bounds Cointegration Approach based on the fact that the variables were not all stationary at same order of integration. The findings revealed that given themajor challenges facing the agricultural sector in Nigeria such as inadequate funding, economic growth was positively affected by Deposit Money Banks Loans and advances to Agriculture, Bank of Agriculture Loans, and Federal Government Agricultural Finance but negatively affected by Interest Rate on Agricultural Loans during the period under investigation. The study recommended that since the Federal Government Agricultural Expenditure positively affects agriculture, the federal government should initiate policies towards revolutionizing agriculture to make it more productive by investing more on agriculture and concluded that considering the fact that agricultural funding variables were found to impact positively on economic growth in Nigeria during the period under investigation, adequate agricultural funding is essential for economic growth in the Nigerian economy.
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12

Tleuberdiyeva, S. S., A. B. Moldasheva, A. K. Alpysbayeva, and L. V. Oleinik. "Economic mechanisms of agricultural production growth." Bulletin of "Turan" University, no. 2 (June 13, 2021): 114–20. http://dx.doi.org/10.46914/1562-2959-2021-1-2-114-120.

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The purpose of the article is to study the economic mechanisms of agricultural production growth within one country and, in particular, Kazakhstan. The growth of agricultural products in Kazakhstan and the provision of the country with food products are complex and relevant issues, which include the problems of production, the situation in the national agricultural markets, solvency and competitiveness, the annual volume of agricultural products, the increase in annual revenue, ensuring the availability of food products to consumers, laws in the regulation of the agricultural industry, etc. The potential of agriculture is correlated with the level of food security of the country. State regulation of the agro-industrial complex is aimed at ensuring food security, stability of agricultural products entering the market, creating favorable conditions for entrepreneurs, increasing the competitiveness of domestic products, as well as improving the standard of living of the population of the regions by creating favorable conditions for the development of crop production, animal husbandry, fisheries, processing of agricultural products and the food industry, veterinary-sanitary and phytosanitary security, it is aimed at providing technical equipment and other auxiliary areas of activity, social and infrastructure development on regional territory. The authors of the article emphasize that agriculture will become an important part of the agro-industrial complex. Agriculture is an industry aimed at providing the population with food and is a raw material necessary for the economic sphere. It occupies an important place not only in the agro-industrial complex, but also in the national economy of the whole country. Agriculture is the most important part of the material production industry. Agriculture provides the country with food and industry with some raw materials.
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13

Okopi, Solomon Ocheola, Nirote Sinnarong, Ke Nunthasen, and Snit Sitti. "Public Preparedness for Agricultural Investment and its Contribution to Sustainable Economic Growth in Nigeria." Journal of Lifestyle and SDGs Review 5, no. 2 (2024): e03429. http://dx.doi.org/10.47172/2965-730x.sdgsreview.v5.n02.pe03429.

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Purpose: The study investigated public preparedness for agricultural investment and its contribution to and economic growth in Nigeria. The study was guided by the following objectives; to assess the level of individuals' awareness on the current condition of the agriculture industry in Nigeria, public's perspective of the substantial influence of agricultural on Nigeria's overall economic growth, the preparedness of citizens to invest in the agriculture sector for the enhancement of Nigeria's economic growth and delineate the agriculture sector's contribution to GDP. Theoretical Framework: The study was anchored on Lewis (1979) theory of impacting economic growth. Method: The study utilized a descriptive research approach involving 133 respondents across the 36 states, including the federal capital territory, whose major vocation is food production. The samples were selected by a convenience sampling method, considering the respondent geographic closeness and included only those present throughout the survey. Closed-ended questionnaire was utilized as a data-collecting instrument to assess the variables under study; the data on the contribution of agricultural practices to GDP was access from Nigeria Bureau of Statistics (2022-2023). To ensure content validity, the survey instrument was validated utilizing the Lawshe's template. A threshold of 0.99 was noted, signifying that the questionnaire was both representative and comprehensible. The Cronbach alpha technique yielded a reliability coefficient of 0.83, affirming the instrument's homogeneity. The data was analyzed using frequency counts (f) and percentages (%) while the results was presented in graphs. Findings: The survey revealed that most respondents are aware of the current state of agriculture in Nigeria. The heightened awareness has impacted public perception of agriculture's significant role in national economic growth, as the majority of respondents acknowledged that agriculture not only provides food for the populace but also improves farmers' living standards by reducing poverty and hunger, thus promoting economic development. They are willing to invest in agriculture despite a decline in production and a reduced contribution to the national GDP. Conclusion: Although the agricultural sector's contribution to GDP has diminished, individuals are inclined to invest in agriculture therefore, enhanced engagement in agriculture, along with Nigeria's extensive arable land and various people and material resources, and the implementation of sustainable agricultural innovations, will result in significant economic growth.
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14

Dr., Shivanand A. Bhandare. "Dr. Shivanand A. Bhandare." International Journal of Humanities, Social Science, Business Management & Commerce 08, no. 03 (2024): 154–56. https://doi.org/10.5281/zenodo.14544551.

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The Indian agriculture sector played a vital role in the development of the Indian economy. It can be seen through the contribution of gross domestic product and employment. The agriculture sector also contributes significantly to the sustainable economic development of India. The sustainable agricultural development of any country depends upon the careful use of its available natural resources. In spite of significant expansion in both the industrial and service sectors, agriculture remains the cornerstone of the Indian economy. This paper focuses on the issue of sustainable agricultural development in India.
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15

Rajagukguk, Wilson. "Agriculture and regional economic growth in Indonesia." E3S Web of Conferences 258 (2021): 06037. http://dx.doi.org/10.1051/e3sconf/202125806037.

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The Republic of Indonesia consists of 34 provinces in 514 districts with diverse economic characteristics. The objective of this research is to analyze the association between agriculture sector and regional economic growth in Indonesia. The data source was from the Indonesia Database for Policy and Economic Research (INDO-DAPOER) of the World Bank. The study covered the period between 2001 and 2008. The province total gross domestic product (GDP) excluding oil and gas was used as the outcome variable. The covariates were grouped into agricultural and development variables. The agricultural variables were total agricultural credit, number of people employed in agriculture, forestry and fishery, and agriculture function expenditure. Meanwhile, the development variables were percentage of household with access to safe water and literacy rate for population age 15 and over. The data analysis method was the generalized least square multiple regression with random effects. The results of the study indicate that the Indonesia’s province GDP increased every year. In addition, higher economic growth was associated with higher total agriculture credit, larger number of people employed in agriculture, forestry and fishery, higher agricultural function expenditure, higher percentage of household with access to safe water, and higher literacy rate for population age 15 and over.
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16

Shi, Heng Hua, Ya Jun Shi, and Guang Cai Xu. "Research on the Relationship between Agricultural Information and Urban Agriculture Economic Growth." Applied Mechanics and Materials 357-360 (August 2013): 2515–18. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2515.

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Through the universal application of information technology and intelligence tools, agricultural information not only promotes the development of traditional agriculture to modern agriculture, but also promotes the economic growth of urban agriculture based on rural service. With Beijing agricultural information development, we propose a non-weight agricultural information index model based on the analytic hierarchy process. The relationship of agricultural information and urban agricultural economic growth can make some positive measures to further accelerate the economic development of peri-urban agriculture.
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Jia, Hui Mian. "Research on the Increase of Agriculture Economy of China with the Development of Information Technology." Advanced Materials Research 926-930 (May 2014): 3914–17. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3914.

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The contents, statistics, composition and challenge of agriculture-information are discussed in this paper. The influence of agriculture-information on the intensive growth of agriculture is analyzed empirically, which indicates that information has become an important production factor. Though without certain form, information promotes intensive growth of agricultural economy by increasing the quality of production factor including labor, land and capital. The mechanism in which agriculture-information influences the intensive growth of agricultural economy is promoting the accumulation, structure studied theoretically, which includes optimizing and of agriculture; accelerating agricultural knowledge technological progress and extension; creating transparent information environment to optimize the allocation of resource; promoting scientific management of agriculture and civilization of rural human resource; strengthening the function of agricultural cooperative organization and spurring on the improvement of agricultural economic environment.
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18

Lesniak, Oleksandr. "SOURCES FOR ECONOMIC GROWTH IN UKRAINIAN AGRICULTURE." INTERNATIONAL JOURNAL OF NEW ECONOMICS, PUBLIC ADMINISTRATION AND LAW 1, no. 1 (2018): 68–77. http://dx.doi.org/10.31264/2545-093x-2018-1(1)-68-77.

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19

Souza Piao, Roberta, Vivian Lara Silva, Irene Navarro del Aguila, and Jerónimo de Burgos Jiménez. "Green Growth and Agriculture in Brazil." Sustainability 13, no. 3 (2021): 1162. http://dx.doi.org/10.3390/su13031162.

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This paper addresses Green Growth and Agriculture in Brazil, analysing the National Plan for Low Carbon Emission in Agriculture (ABC Plan). The main focus is to detail the structure and actions proposed and implemented by the ABC Plan, and also to identify its economic, environmental and social effects. Using a qualitative research approach, desk research was conducted through reports, newspaper articles, and official documents from the Brazilian government and the Brazilian Agricultural Research Corporation (EMBRAPA). The outcomes indicated that the ABC Plan did not address the main components of the literature on green growth policies, such as proper training of human resources in sustainable agricultural techniques, and access to financial support for promoting the implementation of sustainable agriculture systems. The lack of participation of local institutions in the creation and implementation of the ABC Plan is also pointed out.
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20

Oliynyk-Dunn, Olena. "Financial System and Agricultural Growth in Ukraine." Organizacija 50, no. 3 (2017): 244–53. http://dx.doi.org/10.1515/orga-2017-0016.

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Abstract Background/Purpose: An effective financial system should increase the efficiency of economic activities. This study provides evidence regarding the importance of financial development for agricultural growth in Ukraine. Methodology: We used non-integrated and integral indicators, time series and regression analysis to investigate the link between the financial development and agricultural growth. Results: The results based on integral indicators shows that the financial development does not affect agricultural growth in Ukraine. The study based on non-integrated indicators, which characterizes various aspects of the financial system’s banking component and agricultural growth, provided a significant link between the financial system and agriculture growth. The regression models revealed if bank deposits to GDP (%) increases the value added per worker in agriculture increases exponentially. The results of the study indicate that, agriculture is more sensitive to lending changes than the vast majority of other sectors of the economy. The increasing lending of one UAH (Ukrainian hryvnia) resulted in retail turnover growth of 1.62 UAH, while agricultural gross output, growth was UAH 5.06. Conclusion: Our results reveal a positive relationship between financial system’s banking component and agriculture growth in Ukraine. The results indicate the necessity for continued research into further developing universal methodological approaches of appraising the nexus of the financial system’s banking component on agriculture growth in general as well separate farm groups. The results of our study has important implications on policy making authorities efforts to stimulate agricultural growth by improving the efficiency of the financial system’s banking component.
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Fadiji, T. O., T. T. Adebiyi, S. O. Sennuga, A. Adefope-Ajayi, and J. Fadiji. "Innovative Strategies toward Nigeria Growth and Development: Agricultural Perspectives." Indiana Journal of Agriculture and Life Sciences 2, no. 4 (2022): 20–23. https://doi.org/10.5281/zenodo.7032274.

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<strong>Abstract:</strong> This paper advocates that the agricultural sector provides a veritable solution for Nigerian growth and development. It presents some of the key innovative strategies for Nigeria, namely; Extensive Learning Process from other Country&rsquo;s strategies; Pragmatic Input Supply Strategy; Extensive Deployment of Research in Agriculture and Extension; Extensive Use of Strategic Grains Reserves (SGRs); Massive Crop Adoption and Production Strategy; Value Chain Addition to Agricultural Process/Products/Commodities; Promotion of Gender Equality in Agriculture. Others include Extensive Deployment and Employment of Youth in Agriculture; Policy Formulation and Consistency in Agriculture; Adoption, Application of Agricultural Technologies and Information and Communication Technologies (ICTs); and Provision of security for farming and farmers. It is envisaged that good combination of these innovative strategies would serve as catalysts for propelling Nigeria from recession and propelling her into agricultural revolution and ultimately economic diversification
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22

Ito, Nobutaka. "Asian Agriculture Growth Strategy." Applied Mechanics and Materials 889 (March 2019): 567–73. http://dx.doi.org/10.4028/www.scientific.net/amm.889.567.

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It can be easily guessed that food issue will be the next upcoming global issue for humans considering the current situation of drastic increase of world human population. Asia is one of the regions which is specifically famous and popular for agricultural production, therefore the important role of Asia to play to the world may be the increase of food production and the supply for feeding the people facing to hunger and poverty. The author proposed the project named Asia Food Project attached with Asia Techno Farm Initiative, practical OJT (On the Job Training) program to achieve the final goal of making Asia as the world food pantry and to create the original Asia food brand. In this paper the importance of applying high technology based smart agriculture consisting of mainly precision agriculture, robotics and green factory is discussed as the important program content including the achievement process how to follow the steps of proposed procedure,.
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Kolhe, Mr Sudhir. "Proposal for Economic Growth of Kolhewadi through Agriculture Development." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 3589–97. http://dx.doi.org/10.22214/ijraset.2021.37152.

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India is a developing nation in sectors such as Agriculture, Transportation, Education, and Infrastructure. Agriculture is the one of high GDP contributor in Indian economy. In last few decades by green revolution agriculture sector is developed, but it still has lot of bearing in agricultural growth. The aim of research is to identify various problem in agriculture field in study area Kolhewadi, Tal- Sangamner, Maharashtra. And by studying various factors to prepare proposal for economic growth of kolhewadi through agriculture development.
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Arifah, Khilda Faoziyah, and Jonghwa Kim. "The Importance of Agricultural Export Performance on the Economic Growth of Indonesia: The Impact of the COVID-19 Pandemic." Sustainability 14, no. 24 (2022): 16534. http://dx.doi.org/10.3390/su142416534.

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The agriculture sector has been affected by the COVID-19 pandemic. In Indonesia, agriculture is the most cultivated sector, especially in rural areas. During the COVID-pandemic, agriculture survived and positively contributed to economic growth. In light of this, this study aimed to investigate the effect of the COVID-19 pandemic on agricultural export and also the impact of agriculture export during the COVID-19 pandemic on economic growth. We also give some recommendations on ways to enhance agriculture export performance during the COVID-19 pandemic. The Indonesia agricultural export quarterly panel data from the years 2012 to 2021 were analyzed with the 2SLS regression model. Agriculture export was used as an endogenous variable and the COVID-19 pandemic was used as a dummy variable to reflect the number of years since the COVID-19 pandemic began. The empirical results demonstrate that agriculture export and the COVID-19 pandemic have positively affected economic growth. A 1% increase in agriculture export and the COVID-19 pandemic may increase economic growth by 0.69% and 0.16%, respectively. In contrast, the labor force and inflation were found to have inverse effects on economic growth. Therefore, we recommend that, during the COVID-19 pandemic, agriculture export should be used as an alternative way to increase economic growth. Policies could be developed to increase the agricultural export value.
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25

Tripathi, Amarnath. "Total Factor Productivity Growth in Indian Agriculture." Journal of Global Economy 6, no. 4 (2010): 286–98. http://dx.doi.org/10.1956/jge.v6i4.67.

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n this study, time series data has been related to broad agricultural outputs which included farming, livestock, forestry, and fisheries and 3 conventional inputs: labour, land, and capital, to construct an index of total factor productivity (TFP) between 1969-70 to 2005-06. A TFP index is simply the ratio of an output index to an input index. Therefore, growth in TFP is the residual share of output growth after accounting for changes in land, labor, and other conventional agricultural inputs. Changes in TFP can be interpreted as a measure of the collective contribution of non-conventional inputs in agriculture, such as improvements in input quality, market access, economies of scale, and technology. What emerges from this exercise is a picture that raises concern about future growth in Indian agriculture, and the welfare of the people who depend on agriculture for their livelihood. Agricultural productivity in India appeared to stagnate in the late 1990s after enjoying two decades of rapid growth.
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Saparita, Rachmini. "PERKEMBANGAN KOMERSIALISASI PERTANIAN DI INDONESIA DAN PROYEKSINYA 2005-2050." Jurnal AGRISEP 4, no. 2 (2005): 1–16. http://dx.doi.org/10.31186/jagrisep.4.2.1-16.

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This article identified the growth commercial agriculture through diversification of crops to predict the process of agricultural transformation in Indonesia. The result showed that the growth of commercial agriculture was varied. Some provinces, such as Jakarta, West Java, North and West Sumatera, Riau, Kalimantan, Midle and South Sulawesi, which had low index, commercialization worked well. The economic pattern of their farmer changed from subsistence to commercial. Agricultural development in those provinces entered to the growth and advanced stages of agricultural transformation. However, others provinces, which had high index, commercial agriculture worked poorly. For all provinces outside Java islands, the cause of those high indexes were predicted by several factors, such as lack of infrastructure, remote areas, and other limitations, so that business accesses to outside areas were not run well. For all provinces inside Java islands, the cause was predicted by the excessive of subsistence agriculture, so that commercial agriculture was delayed, while other areas were suited for various food crops type. From that situation it could be concluded that agricultural development was not spread equally for every province in Indonesia. Since agricultural development policies were such as the existing strategies, the growth of commercial agriculture were predicted would not affect the increase of farmer’s income, because the growth was not caused by transformation of agricultural economic pattern from subsistence to commercial, but was caused by agriculture household enlargement. Consequently, the government should apply land reform policy immediately.Key words: agricultural diversification, agricultural commercialization, agricultural transformation, and agricultural development
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Vapa Tankosić, Jelena, Borjana Mirjanić, Radivoj Prodanović, Snežana Lekić, and Biljana Carić. "Digitalization in Agricultural Sector: Agriculture 4.0 for Sustainable Agriculture." Journal of Agronomy, Technology and Engineering Management (JATEM) 7, no. 1 (2024): 1036–42. http://dx.doi.org/10.55817/geqw8736.

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Sustainable and resilient systems within the food industry play a key role in global growth and development. In recent years, negative effects such as drought caused by climate change, destructive natural disasters, and destruction of biodiversity and natural resource erosion, agricultural migration, aging agricultural population, and global epidemics have deepened the environmental concerns. Apart from the negative effects on the food supply, pressure on the demand side is created by the growing population, which makes it necessary to create a new agrarian policy. Technological development has affected agriculture and agricultural production systems. One of the most prominent approaches is the integration of a new generation of digital technologies into the agricultural system, ensuring maximum benefit from information and data. Digitalization and the use of digital data have fundamentally transformed the agro-food system. The aim of this paper is present in a systematic view the agricultural digital transformation in the Agriculture 4.0, in the framework of sustainable development of agriculture. The aforementioned imposes sustainable agriculture by adequate agricultural policy instruments.
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Herath, Janaranjana, and David Hill. "Harnessing Agricultural Potentials for Economic Growth in North Carolina." Sustainable Agriculture Research 2, no. 2 (2013): 142. http://dx.doi.org/10.5539/sar.v2n2p142.

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Agriculture in North Carolina contributes to 19 percent of the state’s income and employs over 20 percent of the work force. Agricultural activities are significant in rural counties and nearly 30 percent of the total population of North Carolina lives in 85 rural counties. Individuals in these rural counties have less income, education, and employment opportunities eventually in high poverty and unemployment rates. The objective of this study is to examine the potential use of agriculture in economic growth of North Carolina using county level data. Data were gathered from U.S. Bureau of Labor Statistics, U.S. Department of Agriculture, and U.S. Census Bureau for the period of 2000 to 2010. A system of simultaneous equations is used for the analysis. Results highlight that increasing income increases agricultural activities and vise versa. Thus, the counties with high household income levels are more capable of incorporating agriculture in economic growth while the counties with significant agricultural activities are more competent of improving income levels. Overall, results conclude the importance of secured satisfactory level of income through agriculture to enhance economic growth.
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Das, Manoj Kumar, Sagarika Dash, Sweety Pattnaik, and Dharmabrata Mohapatra. "Growth and Instability in Agriculture Production in Odisha, India." Asian Research Journal of Agriculture 17, no. 2 (2024): 184–95. http://dx.doi.org/10.9734/arja/2024/v17i2436.

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The performance of agriculture sector in any economy is better understood through the analysis of growth and instability in agriculture production. It is evident that the growth of agriculture in Odisha is very erratic in nature and huge instability is there in agricultural production. Instability in agriculture affects the trend and pattern of production which creates risk in farmers’ ability to adopt new technologies. Therefore, this paper aims to study the growth and instability in agriculture production in Odisha where growth and instability on area, yield and production of twenty crops have been calculated. Instability in agriculture production is caused by various agricultural reforms, weather variation and price fluctuation. Therefore, in this study attempt has been made to analyse the contribution of agriculture and allied sector to GSVA in Odisha over the years, sectoral employment, and district wise crop intensity. To examine growth and instability in agriculture of twenty major crops, this study has undertaken decadal analysis by using secondary data. Total four decades i.e. 1970-80, 1980-90, 1990-00, 2000-10 and 2010-20 are considered. The results show that, agriculture sector is leading sector in providing employment and significantly contribute to GSDP in Odisha. However, the area under cultivation of all the crops area gradually decreasing due to the urbanization but the percentage of area under cereal cultivation is decreasing whereas percentage of area under pulses are increasing but the area under total food grains is decreasing showing farmers are switching towards non-food grain products. So far, the growth of production and yield of different crop areas shows erratic growth in agricultural crops, as evident from the high instability rate in the growth of different crops. The cropping intensity shows that it is lower than the national level and therefore the role of technology needs to be identified.
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Timmer, C. Peter. "Agriculture and Pro-Poor Growth: An Asian Perspective." Asian Journal of Agriculture and Development 5, no. 1 (2008): 1–27. http://dx.doi.org/10.37801/ajad2008.5.1.1.

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Imagine a region of the world where all food and agricultural products are sourced from international markets, and domestic agricultural sectors have disappeared. This "world without agriculture" is not imaginary. For many of the world's poorest countries, especially in Africa, a future without agriculture is increasingly being urged as the efficient path to development. Mark Rosenzweig, the new Director of Harvard's Center for International Development, asks at the broadest level: "Should Africa do any agriculture at all?" (Harvard Magazine, 2004, p. 57). Adrian Wood, Chief Economist for the Department for International Development (DfID) of the United Kingdom, envisions a "hollowed out" Africa, with most of the population on the coasts where they could more effectively produce manufactured exports (Wood 2002). Many macro economists, convinced of the power of rapid economic growth to lift populations out of poverty, see resources devoted to slow-growing agriculture as wasted. In a world of ample food supplies in world markets (some of it free as food aid) and increasingly open borders for trade, what is the role of agriculture in pro-poor growth?
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Bagus Wiranatakusuma, Dimas, Rafif Fairuztama, and Anggi Aprizal. "Analyzing determinants of economic growth on agricultural sector in Indonesia." E3S Web of Conferences 595 (2024): 01006. http://dx.doi.org/10.1051/e3sconf/202459501006.

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Despite the crucial role of agriculture in safeguarding Indonesia’s economy, some attention has given to the nation’s agricultural development, banking dynamics, and macroeconomic landscape pre- and post-COVID-19 era. This study employs quarterly data spanning from 2010 to 2021, using multiple Ordinary Least Squares (OLS) regression techniques to analyse various variables. Key variables examined include the growth of agriculture’s GDP shares over total GDP (GGDPRGDPT), agriculture’s financing and total time deposits in Islamic banks (GFinPDT), Islamic banks’ margin in agriculture (MARGIN), agriculture’s financing and GDP in agriculture (GCPGDPP), inflation, and food prices. The findings underscore the imperative for Indonesia’s agriculture sector to embark on a transformative journey toward enhanced productivity. Moreover, sustained support from the banking sector is considered essential for fostering financial deepening, causing a higher allocation of deposited funds towards agricultural financing. Amidst pandemics and crises, the resilience of Indonesia’s agriculture sector is underscored by the indispensability of its products. However, collaborative efforts between farmers and financial institutions are called for, alongside proactive measures by banks to channel deposited funds into agricultural financing instruments. The sustainable growth of Indonesia’s agricultural sector hinges upon robust macroeconomic conditions, effective management practices, and unwavering support from the banking sector.
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Medvitz, Albert G. "Urban growth squeezes agriculture." California Agriculture 52, no. 3 (1998): 8–9. http://dx.doi.org/10.3733/ca.v052n03p8.

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Nyaupane, Bhoj Raj. "Contribution of Expenditure to Agriculture Growth in Nepal." Quest Journal of Management and Social Sciences 5, no. 1 (2023): 119–31. http://dx.doi.org/10.3126/qjmss.v5i1.56502.

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Background: Among the different macroeconomic sectors, agriculture is critical to the expansion of Nepal's economy. Agriculture is the main strength for the development of trade and the service industry. Agriculture has become the backward linkage for trade and service. The contribution of expenditure is vital for the growth and agricultural development of Nepal. Objectives: The purpose of the study is to determine contribution of expenditure to the agricultural economic growth in Nepal. Methodology: The descriptive and causal research designs were used for the study. Annual time series from 1974/75-2020/21 was used as the data. The research used the Auto-Regressive Distributed Lag model (ARDL) approach of cointegrationa. Moreover, unit root test, bound test, residual diagnostics and normality test were used. Results: The empirical result indicates a short run good association between the agriculture labor force, gross fixed capital formation, capital expenditure and total food crops and long term collaboration between the agriculture labor force, gross fixed capital formation, total food crops and total cash crops. The disequilibrium is corrected in the one lag period with a speed of adjustment of 0.07 per cent. Conclusions: The study concludes that there is an association between government expenditure to agriculture growth of Nepal. So, government spending and agriculture expansion are associated in the long run. Implications: Government expenditure must increase to escalate the economic growth of agriculture, reflected via a source of economic growth in Nepal. Originality: The study is purely original and nowhere published yet. Likewise, no grants have been obtained during the period of investigation on this issue.
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Muhammad Islam, Syed Ijaz Hussain Shah, Syeda Amna Wajahat, Muhammad Faheem Bhatti, and Noor Ul Ain. "Analyzing the Impact of Subsectors and Population Growth on Agricultural Sector in Pakistan." STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 5, no. 2 (2023): 29–37. http://dx.doi.org/10.52700/scir.v5i2.128.

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The agriculture sector in Pakistan plays its vital role for providing food security and economic stability. Pakistan's agriculture sector comprises various subsectors i.e. crops, livestock, fisheries, and forestry. Agriculture growth is threatened by the growth of these subsectors and the impact of population growth on it. No significant research has been conducted in Pakistan to study the statistical significance of these subsectors and their relationship with population growth. This study analyzes data from 2005 to 2023. Regression analysis is used to identify and to compare the statistical significance of all sub sectors of agriculture growth with population growth rate. Average growth rates found positive for agriculture, major crops, livestock, fisheries, and population, while negative for forestry. Model found good fit with R2 0.936. Major crops, livestock, and fisheries have positive and statistically significant impacts on Pakistan's agricultural growth, with coefficients of 0.316, 0.426, and 0.015, while forestry and population reported negative and statistically insignificant results with coefficients of -0.019 and -0.273. This research laid out good policy decisions aimed at boosting agricultural growth in Pakistan.
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Atayi, Abraham Vincent, Sherif Olorunrinu Adekunle, Bunmi Augustina Ojo, and Nneamaka Loretta Nkire. "Agriculture, Manufacturing and Economic Growth in Nigeria." International Journal of Multidisciplinary Research and Analysis 04, no. 03 (2021): 337–47. https://doi.org/10.47191/ijmra/v4-i3-18.

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This research work address the positive effect of Agriculture on the manufacturing sector in Nigeria. The study made used of Ordinary Least Square Method estimation techniques. The findings showed that Agricultural output, government spending on agriculture, and real gross domestic product all have positive effects on the manufacturing sector. The effects is RGDP 66percent, AGRQ by 63%, and GOEXA by 96 percent. The study recommends among other things that government should allocate more resources to the Nigerian agricultural sector and ensure that the funds are judiciously use and that the government should also seek to strengthen its incentives for the manufacturing sector in order to promote increased industrial production and growth.
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Hadouga, Hassiba. "Leadership in Agriculture: Artificial Intelligence for Modelling and Forecasting Growth in the Industry." Business Ethics and Leadership 7, no. 3 (2023): 13–19. http://dx.doi.org/10.61093/bel.7(3).13-19.2023.

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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.
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Wang, Yinan, Yujie Xu, and Wenhui Chen. "Study on the Relationship between Agricultural Credit, Fiscal Support, and Farmers’ Income—Empirical Analysis Based on the PVAR Model." Sustainability 15, no. 4 (2023): 3173. http://dx.doi.org/10.3390/su15043173.

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The growth of farmers’ income is one of the most critical issues in China’s “Three Rural Issues,” and optimizing fiscal policy support and improving credit supply are crucial to improving farmers’ income. Based on the panel data of 30 Chinese provinces from 2003 to 2020, this paper develops a PVAR model in order to explore the relationship between agricultural credit, fiscal support for agriculture, and farmers’ income from a dynamic perspective, considering regional heterogeneity. The empirical results show the following factors for farmers’ income growth: (1) From the GMM estimation, the positive correlation between fiscal support for agriculture is stronger than that of agricultural credit. (2) From the impulse-response function, in the eastern region, the positive shock of agricultural credit is positively correlated in the short run, but it will be negatively correlated as that of fiscal support for agriculture in the long run; in the central region, the positive shocks of agricultural credit and fiscal support for agriculture are persistently positively correlated; in the western region, the positive shocks of agricultural credit are persistently negatively correlated, while fiscal support for agriculture will be positively correlated in contrast. (3) From the variance decomposition, agricultural credit contributes more to famer’s income growth in the short run, while fiscal support for agriculture contributes more in the long run. The policy implications for promoting farmers’ income growth include implementing regionally differentiated agricultural credit development strategies, reasonably enhancing fiscal support for agriculture, and optimizing the structure of fiscal support for agriculture.
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Abdallah Sharif, Nabard, Burhan Ali Mohemmed, and Biaban Nwri Rostam. "Relationship between Agriculture Growth and the Unemployment Rate in Iraq (1991–2022)." Journal of Economics and Administrative Sciences 30, no. 143 (2024): 377–88. http://dx.doi.org/10.33095/gatvpw86.

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Purpose: The objective of this study is to analyze the relationship between agriculture development and unemployment rate for the period of 1991-2-2022 in Iraq. Theoretical framework: In the context of agricultural employment, agriculture is recognised as a crucial component of economic advancement and emphasises the significance of efficiently utilising all available resources, including human resources (Alsudani &amp; Al-Hiyali, 2021). Moreover, the growth of agricultural and the unemployment rate have been used as two indicators to evaluate the significance of the agriculture sector(Jongerden et al., 2019). Design/methodology/approach: In order to examine whether there exists a real correlation between unemployment rate and agriculture growth in Iraq, we utilize yearly secondary data and apply extensive methodology that includes unit root tests, correlation analysis, co-integration tests, and the autoregressive distributed lag (ARDL) approach. Findings: the results of emperical examinations highlight a negative relationship between agricultural growth and the unemployment rate; that is, as agriculture growth increases, so does the unemployment rate decrease. Research, Practical &amp; Social implications: The findings can provide insights for well-informed policy decisions and strategies to promote sustainable growth and employment generation in Iraq. In addition, for future research we suggest to include more macroeconomic variables in oreder to have intensive understanding real impacts of agriculture sector on economic growth and laboure force of countries. Originality/value: The results document that the connection between both agriculture development and unemployment rate is not positive, it means that unemployment rate will decrease if growth in agriculture increase.
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Zhou, Xinxin, Tong Chen, and Bangbang Zhang. "Research on the Impact of Digital Agriculture Development on Agricultural Green Total Factor Productivity." Land 12, no. 1 (2023): 195. http://dx.doi.org/10.3390/land12010195.

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In this study, to discover how the growth of digital agriculture has impacted agricultural green total factor productivity (AGTFP), we take panel data from 2011 to 2019 for 30 Chinese provinces as the research object, measure the growth of AGTFP and digital agriculture development using the SBM-ML and entropy method, and use a fixed effect model to analyze the effects of digital agriculture development on AGTFP. The results demonstrate that (1) from the time-series characteristics, digital agriculture presented a steady growth state from 2011 to 2019; (2) during the study period, the technical efficiency index was slightly lower than the technological progress index in the AGTFP index, meaning that there is room for further development; (3) the relationship between the growth of digital agriculture and AGTFP presents an inverted U-shaped curve, with human capital playing a moderating role. Finally, corresponding countermeasures are proposed in four aspects: strengthening the construction of organizational mechanisms, building a standardized base for digital agriculture output, enhancing the traceability and certification of agricultural products, and improving social services in the agricultural industry.
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Kuruba, Padmaja, and V. Madhusudhan. "Smart Growth Monitoring System in Agriculture Using IoT." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (2019): 620–30. http://dx.doi.org/10.5373/jardcs/v11sp12/20193258.

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41

Anokhina, Marina. "Parameters of the strategy for managing the economic growth of agricultural production in Russia." Agricultural Economics (Zemědělská ekonomika) 66, No. 3 (2020): 140–48. http://dx.doi.org/10.17221/255/2019-agricecon.

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Agricultural economic growth requires management due to poor structurization. The study aimed to determine the parameters of the management strategy for the economic growth of agriculture in Russia. The research methodology relies on cognitive technologies of modelling the strategic alternatives of the economic development of the industrial complex using fuzzy cognitive logic. Static and dynamic analysis of the fuzzy cognitive maps on structural and dynamic indicators of agricultural economic growth in Russia allowed the forecast of the industry trends, influenced by various management factors. The option of an integrated management strategy for the economic growth of agriculture in Russia is proposed together with strategic maps, justified as a tool for its implementation. The created strategic alternative will allow the Russian agricultural and industrial complex to use the existing agricultural potential to achieve the target growth indicators and ensure sustainability.
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Vitunskienė, Vlada, and Lina Lauraitienė. "Measuring environmentally sustainable growth in agriculture across the EU countries based on Solow residual-based MFP." Socialiniai tyrimai 45, no. 2 (2022): 26–49. http://dx.doi.org/10.15388/soctyr.2022.45.2.2.

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Scientific publications on environmentally sustainable or green growth in agriculture are increasingly becoming more important but empirical research is scarce. In empirical studies, the most commonly accepted way to assess environmentally sustainable or green growth in agriculture is based on measures of total factor productivity (TFP) or multifactor productivity (MFP) growth. Both measures are important for analytical and monitoring tools that can help to better understand the factors affecting output growth as well as the determinants of changes in production factors (labour and produced capital) in agriculture. Growth of TFP or MFP is achieved through the application of technologies and advanced production practices that result in higher output from the same amount, or lower inputs (labour and produced capital).Conventional TFP and MFP are not suitable for the assessment of environmentally sustainable growth in agriculture because both indicators do not include environmental variables such as environmental pollution and natural capital. There is a lack of comparative empirical studies between EU countries. This study focuses on the problem of measuring environmentally sustainable growth in agriculture. The aim of this study is twofold: firstly, to develop a framework for the assessment of environmentally sustainable growth in agriculture, based on information collected in public databases; and secondly, to empirically analyse environmentally sustainable growth in agriculture in EU countries over the long period. The environmentally adjusted multifactor productivity (EAMFP) growth measure was applied to assess environmentally sustainable growth in agriculture of the EU’s countries. For analysis, the environmental pollution of agricultural production was expressed as net GHG emissions, and natural capital was expressed as the quality-adjusted agricultural land area.The research was conducted using literature overview, decomposition technique and cluster analysis method. The 28 EU countries (including the United Kingdom, which was a member of the EU until January 1, 2020) were included in the empirical analysis. The analysis covered the period between 2005 and 2019 and a five-year average annual change rates (2005-2009 and 2015-2019 respectively) were used to compare the environmentally sustainable growth in agriculture between the beginning and the end of the considered period, as is common in most agricultural growth studies.The findings show that pollution-adjusted GDP growth in agriculture was achieved in less than a five of the EU countries at the beginning of the considered period, and in most of the EU countries at the end of the considered period. In most of the EU countries, the environmentally sustainable growth in agriculture was mainly determined by technological progress, while the slow change in environmental pollution (net GHG emissions) did not have a significant contribution to agricultural growth in all EU countries. Following the hierarchical clustering method, three significantly different clusters of the EU countries were identified in terms of gross added value growth and technological progress in agriculture of EU countries in the context of environmentally sustainable growth.
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Zhao, Mengzhen, Zhenhua Chen, Hailing Zhang, and Junbo Xue. "Impact Assessment of Growth Drag and Its Contribution Factors: Evidence from China’s Agricultural Economy." Sustainability 10, no. 9 (2018): 3262. http://dx.doi.org/10.3390/su10093262.

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The sustainable development of agriculture is important for China, where more than 20 percent of the world population live. Many factors affect the sustainable development of agriculture in China. The purpose of this paper is to find out what factors play influential roles on affecting the growth pattern. Based on a modified production function model built upon Slow (1956) and Romer (2001), the impact of growth drag on the agricultural economy, and the contribution resources, are evaluated empirically using a time-series regression analysis based on the case of China for the period 1978–2015. The estimated coefficient of the total agricultural growth drag in China is 1.32, which suggests that the annual agricultural growth is associated with a 1.32 percent decline due to the scarcities of land, water, and energy. Specifically, the growth drags from land, water, and energy are found to be 0.5 percent, 0.44 percent, and 0.38 percent, respectively. Additionally, the results suggest that capital is the most important factor in the agricultural sector, although agriculture is highly dependent on land. Capital contributes around 76.86 percent to the growth of the agricultural economy, whereas contributions from land, energy, water, and technological progress are relatively small. Therefore, more investment should be added to agriculture, to accelerate the technology progress. Furthermore, the saving of water and energy is also important for the sustainable development of agriculture.
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Singh, Gurpreet. "JEEVAMRUT A Natural Growth Booster for Plant." Current Research in Agriculture and Farming 5, no. 1 (2024): 5–7. http://dx.doi.org/10.18782/2582-7146.222.

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In the realm of agriculture and gardening, the quest for sustainable and eco-friendly solutions to enhance plant growth and health has led to the rediscovery of traditional practices. One such practice gaining traction is the use of Jeevamrut, a natural growth booster for plants with its roots deep in Indian agricultural heritage. Derived from ancient wisdom and adapted to modern agricultural needs, Jeevamrut offers a holistic approach to plant nutrition and soil health. This article aims to explore the concept of Jeevamrut, its composition, benefits, and application in contemporary farming practices.
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Cookey, Dr Ibeinmo Friday, and Dr Victor Akidi. "Agricultural Financing and Economic Growth in Nigeria." International Journal of Research and Scientific Innovation X, no. XII (2024): 656–67. http://dx.doi.org/10.51244/ijrsi.2023.1012050.

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This research investigated the impact of agricultural finance on the economic development of Nigeria between the years 1986 and 2022. The Agricultural Credit Guarantee Scheme Fund, bank loans to farmers, government spending on agriculture, and real gross domestic product were used as substitutes for agricultural funding. This analysis relies on time-series data culled from the Central Bank of Nigeria’s statistics bulletin. This research utilised the following data analysis methods: the Ordinary Least Squares (OLS) regression tool, the Error Correction Model technique, the Johansen Cointegration test, and the Augmented Dickey Fuller unit root test. In congruent with the study’s results, there is a substantial relationship between agricultural bank loans and Nigeria’s real GDP. In addition, the Real Gross Domestic Product (GDP)—the monetary worth of all final products and services produced inside Nigeria—is highly correlated with the amount of money the government spends on agriculture. A substantial and important relationship exists between Nigeria’s Real Gross Domestic Product and the Agricultural Credit Guarantee Scheme Fund. The results of the research indicate that the Agricultural Credit Guarantee Scheme Fund, government investment in agriculture, and bank loans all made substantial improvements to Nigeria’s economic development. It has been suggested, among other recommendations, that increasing the volume and size of agricultural loans by reducing the interest rate will facilitate greater economic development in the nation.
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Abbasi, Nasseragha. "An inspection of the relationship between economic growth, employment and export in agricultural sector in Iran (with emphasis on commercial and currency policies)." Journal of Management and Accounting Studies 4, no. 02 (2019): 92–98. http://dx.doi.org/10.24200/jmas.vol4iss02pp92-98.

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The economic growth of agriculture sector and the improvement of its export as fundamental objectives in the country economical plans on one hand and unemployment and expectations of generating employment by economic sectors including agriculture on the other hand have caused simultaneous attention to the three sensitive and important variables of above mentioned in regulating the agricultural policies and the way these variables are related is also of importance. Methodology: For the very same purpose, in this study by using the statistics related to agricultural sector from 1971 to 2004 and by drawing on methods of econometrics, we have inspected the effective factors on economic growth in agricultural sector, its employment and export and the prevailing link between them. The resulting indicates the effect of employment, capitals and productivity of producing factors on economic growth of agriculture, the effect of agriculture capitals and export on employment and finally the effect of agriculture growth, relative indicator of agricultural export price and supportive and exchange policies on agricultural export. Results: According to the results, the necessity of investment increase, depreciation decrease and the productivity improvement of producing factors for the realization of higher economic growth, concentration on investment development through raise in capital stock and regulating strategies related to export development in order to develop employment generation in agriculture. Conclusion: Following policies of producing competitive products in agricultural sector, reform of exchange rate and keeping and expanding supportive policies (giving out export prizes) in order to expand agricultural export must be taken into account by governors and politicians.
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Patel, Amrit. "GOOD GOVERNANCE: A KEY TO ENHANCE AGRICULTURAL GROWTH IN INDIA." International Journal of Research -GRANTHAALAYAH 4, no. 10 (2016): 8–15. http://dx.doi.org/10.29121/granthaalayah.v4.i10.2016.2486.

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For India agricultural growth rate of minimum 4 percent per annum is a must to ensure livelihood of 48.9 percent population engaged in agriculture, food and nutritional security of country’s rising population and last but not the least to alleviate rural poverty. Since country’s Independence in 1947 and from the first five year plan to twelfth five year plan, the Government has initiated policy and formulated innumerable programs to accelerate the agricultural growth rate. However, not only the share of agriculture in India’s GDP progressively declined from 23.4% in the 9th five year plan[1997-02] to 17.60% in 2014-15 but also the agricultural growth rate during 2014-15 is abysmally the lowest at 0.2 percent as against country’s 7.3 percent economic growth rate. Food output in 2014-15 is estimated to be 251.12 million tons [MT] significantly less than 257.13 MT and 265.14 MT in 2012-13 and 2013-14 respectively. This, therefore, points to the focused need for good governance in agriculture right from the concern and commitment of policy-makers through transparent and farmer-friendly administration and implementation of agricultural development programs to the accountability to the farmers to achieve the targeted growth rate and development of agriculture. It is in this context, this development perspective article highlights critical components of good governance in agriculture.
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SEON, Yoo-jeong. "Growth as a Leader in Korean Agriculture : Koreans at Kyushu Imperial University’s Faculty of Agriculture." Association for Korean Modern and Contemporary History 111 (December 31, 2024): 209–38. https://doi.org/10.29004/jkmch.2024.12.111.209.

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The Faculty of Agriculture of Kyushu Imperial University has been involved with Korea in various ways since its establishment. First, Honda Kōsuke was appointed as the first dean of the Faculty of Agriculture. He had served in Joseon for 13 years. He was an authority on Korean agriculture, having served as head of the Agricultural Experiment Station of the Government-General of Chosen and principal of Suwon High School of Agriculture. Second, Cho Baik Hyun was one of the first seven students admitted to the Department of Agriculture. After graduation, he became the first Korean professor at Suwon High School of Agriculture, Korea’s premier agricultural education institution, and served as a model for Koreans who wanted to go to college. Third, to address the shortage of students shortly after the school opened, the school collateral selection criteria were relaxed. This allowed students from vocational schools in Korea to enter the agricultural department. Fourth, the first faculty of Seoul National University College of Agriculture after liberation admitted more graduates of Kyushu Imperial University than any other imperial institution. Many of them became pioneers of Korean agriculture. Thus, the study of the Koreans at Kyushu Imperial University College of Agriculture can be a starting point for understanding the development of Korean agriculture.
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49

Mohan, Geetha, Hirotaka Matsuda, Samuel A. Donkoh, Victor Lolig, and Gideon Danso Abbeam. "Effects of Research and Development Expenditure and Climate Variability on Agricultural Productivity Growth in Ghana." Journal of Disaster Research 9, no. 4 (2014): 443–51. http://dx.doi.org/10.20965/jdr.2014.p0443.

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This paper examines the effects of agricultural research expenditure and climate change on agricultural productivity growth by region in Ghana. A panel dataset is constructed for 2000-2009 from the Food and Agriculture Organization of the United Nations; the Ministry of Food and Agriculture, Ghana; and the Agriculture Science and Technology Indicators (ASTI) database of the International Food Policy Research Institute. A Malmquist index was used to compute agricultural productivity growth, including decomposition components efficiency change and technical change. The determinants of productivity growth are examined using a fixed effects regression model. The results specify that significant causal factors impact positively on Ghana’s agricultural productivity growth, include climate variability, infrastructure, and agricultural research and development expenditure. The study confirms there is a need to strengthen and develop new technological progress for sustainable agricultural production in Ghana.
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50

Zhao, Lijiu, Tao Jin, Lintao Qin, and Zaijun Li. "Chinese Agriculture for “Green and Grain” Productivity Growth: Evidence from Jiangsu Province." Sustainability 15, no. 24 (2023): 16780. http://dx.doi.org/10.3390/su152416780.

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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.
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