Development Of Agricultural Industry Research Articles

Supply Chain Channel Strategy and Marketing Performance of Agricultural Products Firms in Nigeria

Even with the expansion of the vendor network supply chain channel strategy research and the development of the nation's agricultural industry, there seems to be no empirical research on supply chain channel strategy as it relates to marketing performance of agricultural products’ firms. Particularly, it appears that there have not been studies on the relationship between supply chain channel strategy formulation within the agricultural industry in Nigeria. The lack of literature by scholars with respect to supply chain channel strategy in the agricultural industry to trigger innovations in channel techniques and strategies could properly be the root cause of ineffective marketing performance of agricultural products’ firms in terms of customer’s service, profitability and product availability. The researchers therefore sought to discuss this limitation, thereby bridging the acknowledged gap. Based on the objective of the study, a systematic survey was utilized to obtain information from 376 management staff of agricultural product enterprises, and three hypotheses were developed. The data were analyzed using descriptive and inferential statistical techniques. The results demonstrated a favorable and significant association between marketing success of agricultural product companies and channel management. It was concluded that if supply chain channel strategy is well implemented, there would be an increase in marketing performance as measured by client fulfillment, profitability and product availability. Considering the results, it was recommended that sales, supply chain and marketing managers should manage their supply chain channels by placing more emphasis on channel strategy.

Nonlinear associations and threshold effects between agricultural industrial development and carbon emissions: insights from China

Abstract With the inevitability of global climate change, it has become increasingly important to understand the relationship between Agro-industrial Development (AID) and Agricultural Carbon Emissions (ACE) to promote the development of low carbon production in agriculture. Using a panel of datasets, as based on the ‘element-structure-function’ framework of 30 Chinese provinces over the period from 2011–2021, the entropy weight method was used to calculate the level of AID in each province. With this approach, it was possible to assess correlations and mechanisms between AID and ACE. Here, with use of fixed-effect, regulatory and threshold models, we determined some of the critical factors contributing to the effects of AID and ACE. Our findings revealed: (1) AID displays an inverse U-shape relationship with ACE, as verified through endogeneity and robustness assessment, (2) A review of the mechanisms suggests that the crossing of the turning point of the inverted u-curve can be accelerated by the moderating effect of agricultural finance. and (3) As based on the threshold effect analysis, a two-tier effect of the digital economy, rural human capital and farmers’ net income on AID, with facilitating effects on carbon emission reductions was obtained after the threshold crossing. The significance of this effect increases as a function of the post-threshold interval. Taken together, these findings demonstrate the long-standing interplay between AID and ACE. Thus, additional insights and empirical evidence that can inform the ongoing development of sustainable agricultural practices can be realized.

Development of agricultural industry as a factor in food security in the Kemerovo Region — Kuzbass

Development of agricultural industry as a factor in food security in the Kemerovo Region — Kuzbass

How does off-farm work experience motivate rural residents’ agricultural entrepreneurial intentions in China?

ABSTRACT China’s rural vitalization is a major task in promoting common prosperity, but rural brain drain is one of the main obstacles. However, arousing enthusiasm for agricultural entrepreneurship and promoting agricultural industry development remains under-analysed. Using data from 3987 rural residents in China, this article theoretically analyses how rural residents’ off-farm work experience (OWE) affects their agricultural entrepreneurial intentions (AEI). Dealing with endogeneity problems, the empirical results with IV-Probit model show that rural residents’ OWE positively influences their AEI. Mechanism analysis revealed that local social capital and formal financial cognition promote their OWE. The heterogeneity analysis indicated that the effects of OWE on AEI are more significant in counties with lower economic development or higher social welfare levels. Furthermore, OWE particularly affects opportunity-based and outside-village AEI. The results imply that: First, the government should strengthen the county-level entrepreneurial environment, especially in lower development regions. Second, encourage good village governance benefits for AEI. Third, government and financial apartments should broaden formal finance to help rural residents with OWE engage in agricultural entrepreneurial activities.

Analysis on the Development Path of Innovative Agricultural Industrialization from the Perspective of Rural Revitalization

With the continuous promotion of the strategy of rural revitalization in China, the development of rural agricultural industrialization has gradually become a key link in China's social and economic development. Based on the significance of the development of innovative agricultural industrialization, this study aims at solving the problems faced by the current development of agricultural industrialization from the perspective of rural revitalization, such as poor awareness of industrialization development, insufficient labor force in rural areas, backward infrastructure for industrialization development and less investment in industrialization development. In order to provide a useful reference for the development of innovative agricultural industrialization under the background of rural revitalization in China, some strategies were put forward, such as actively publicizing the concept of industrialization development, implementing the policy of talent introduction, strengthening the infrastructure construction of industrialization in rural areas and strengthening the financial support for agricultural industrialization.

Analyzing the Determinants of Yarn Economics in the Cotton Industry: A Comprehensive Case Analysis

The cotton industry is a cornerstone of the global economy, influencing agricultural practices, trade, and industrial development. This study explores the key determinants shaping the cotton sector, focusing on procurement, price stabilization, export promotion, research and development, and skill enhancement initiatives. The Cotton Corporation of India (CCI) plays a crucial role in this ecosystem by ensuring fair compensation for farmers through minimum support prices, facilitating consistent cotton supply for the textile industry, and promoting exports to enhance market reach. Furthermore, the CCI's investments in research and development aim to improve cotton quality and resilience, addressing the industry's evolving challenges. Amidst these advancements, the cotton industry faces pressures such as price volatility, shifting consumer preferences, and an increasing emphasis on sustainable practices. This paper underscores the need for adaptive strategies and collaborative efforts among stakeholders, including farmers, manufacturers, and policymakers, to enhance the industry's competitiveness and sustainability. Future research should delve into the impacts of global market dynamics and technological innovations to better understand the cotton sector's opportunities and challenges.

Agricultural economic security under the model of integrated agricultural industry development

As globalization and technological advancements progress, the integrated agricultural industry development model has become crucial for agricultural modernization. This model fosters inter-industry integration, enhancing agricultural competitiveness and sustainability. However, it also introduces new challenges, such as increased risk spillover and outdated regulatory mechanisms. This study employs a vector autoregression (VAR) model and a directed weighted risk spillover network for a quantitative analysis of risk dynamics within agricultural markets, identifying pathways and influencers of risk transmission across industry segments. A blockchain-based regulatory framework is proposed to improve traceability, regulatory efficiency, and data security in agricultural product management. This includes the development of registration processes, smart contracts, consensus mechanisms, and data upload protocols. The research expands the theoretical base of agricultural economic security and offers practical policy guidance, with substantial academic and practical implications. It highlights how blockchain can address market trust issues, mitigate information asymmetry, and reduce potential risks, contributing to the healthier development of agricultural economy.

How can rural digitalization improve agricultural green total factor productivity: Empirical evidence from counties in China

Against the backdrop of escalating environmental pollution and resource depletion induced by traditional agricultural industry development, the imperative for agricultural efficiency and ecologically friendly practices has become pivotal for global agricultural sustainability. In the digital era, rural digitalization has substantially amplified agricultural production efficiency while notably reducing environmental pollution. This study is based on panel data from 1602 counties in China spanning from 2011 to 2020, measuring the levels of rural digitalization and agricultural green total factor productivity (AGTFP) across these counties, empirically examining their dynamic correlation. The research findings reveal: (1) A significant enhancement of AGTFP with the elevation of rural digitalization; for every 1 % increase in rural digitalization, AGTFP increases by 1.78 %. Robustness checks, including instrumental variables and quasi-natural experiments, affirm the validity of these conclusions. Furthermore, by comparing regional differences in China, it can be observed that the impact of rural digitalization on AGTFP varies across different areas: in the eastern, central, and western regions, for every 1 % increase in rural digitalization, the AGTFP increases by 2.65 %, 1.53 %, and 0.82 %, respectively. (2) Rural digitalization fosters an increase in AGTFP by stimulating rural entrepreneurial activity, with the mediation effect of rural entrepreneurial activity accounting for 3.34 % of the total effect. (3) Utilizing a threshold model, observations indicate that when rural digitalization surpasses the first threshold of 0.3200, the AGTFP coefficient escalates from 0.0462 to 0.7519. However, when rural digitalization exceeds the second threshold of 0.7118, this coefficient declines to 0.2429, signifying a nonlinear trend in the marginal effect of rural digitalization on AGTFP—initial enhancement followed by attenuation. (4) In the spatial model analysis, the study confirms spatial spillover effects of rural digitalization on AGTFP, indicating variations in spatial effects among different matrices. However, the indirect effects of rural digitalization on AGTFP, mainly influenced by the neighboring counties' digitalization levels, contribute more significantly than the direct effects. Based on these conclusions, this paper proposes augmenting investments in rural digitalization, implementing diversified rural digitalization schemes, invigorating rural entrepreneurial activity, and harmonizing regional digital development as novel approaches to enhance AGTFP, thereby fostering rural economic development.

A Novel Bézier LSTM Model: A Case Study in Corn Analysis

Accurate prediction of agricultural product prices is instrumental in providing rational guidance for agricultural production planning and the development of the agricultural industry. By constructing an end-to-end agricultural product price prediction model, incorporating a segmented Bézier curve fitting algorithm and Long Short-Term Memory (LSTM) network, this study selects corn futures prices listed on the Dalian Commodity Exchange as the research subject to predict and validate their price trends. Firstly, corn futures prices are fitted using segmented Bézier curves. Subsequently, the fitted price sequence is employed as a feature and input into an LSTM network for training to obtain a price prediction model. Finally, the prediction results of the Bézier curve-based LSTM model are compared and analyzed with traditional LSTM, ARIMA (Autoregressive Integrated Moving Average Model), VMD-LSTM, and SVR (Support Vector Regression) models. The research findings indicate that the proposed Bézier curve-based LSTM model demonstrates significant predictive advantages in corn futures price prediction. Through comparison with traditional models, the effectiveness of this model is affirmed. Consequently, the Bézier curve-based LSTM model proposed in this paper can serve as a crucial reference for agricultural product price prediction, providing effective guidance for agricultural production planning and industry development.

Exploring the Chinese public's affective attitudes towards digital transformation in agriculture: A social media-based analysis.

This study utilizes natural language processing techniques and panel vector autoregression methodology, to delve into the perceived attitudes of social media users towards the digital transformation of agriculture, and to assess its impact on total agricultural output and agricultural science and technology inputs. Data related to agricultural digital transformation were collected from Sina Weibo using web crawlers. The SnowNLP model was employed to infer users' attitudes, encompassing both positive and negative aspects. Furthermore, the study delves into the specific themes capturing users' positive attitudes and explores regional variations in focus. The findings reveal a sustained increase in users' interest in agricultural digital transformation since 2013. Positive attitudes primarily center around green development, agricultural intelligence, and global cooperation and innovation. Moreover, the study establishes a significant positive impact of users' positive attitudes on both total agricultural output value and agricultural science and technology investment, highlighting the constructive influence of user support on the agricultural industry's development.

Evaluation and Spatial Correlation of Agricultural Green Investment Efficiency in China

Green agriculture is one of the development directions of modern agriculture, and now the development of green agriculture needs the support of capital and technology. Under the background that China attaches great importance to the development of green agriculture, the government has introduced a series of relevant policies. Therefore, by exploring the problem of investment efficiency in the development of green agriculture in our country, optimizing the investment direction, and constantly promoting the development of green agriculture, there is no doubt that it has important practical significance. Through normative analysis and empirical analysis methods, this paper conducted in-depth research on the efficiency of green investment in agricultural science and technology, the development prospect of agricultural green industrial structure, and the impact of green agricultural economy on green investment, analyzed several key impacts of improving the efficiency of agricultural green investment on the development of agricultural industry, and then elaborated the reaction of agricultural green investment on the entire economic development. This paper also innovatively explores from the Angle of entry and analysis methods, and continuously analyzes the investment effect of "high investment efficiency, low investment level and high overall income growth" formed by the gradual improvement of green technology investment efficiency, the continuous decline of green investment level and the continuous reduction of green investment cost.

Making Decisions on the Development of County-Level Agricultural Industries through Comprehensive Evaluation of Environmental and Economic Benefits of Agricultural Products: A Case Study of Hancheng City

This study aims to provide a scientific basis for the development of county-level agricultural industries through a comprehensive evaluation of the environmental and economic benefits of agricultural products. Focusing on Hancheng City in Shaanxi Province, this paper calculates and analyzes the carbon emission intensity per unit output value and the economic benefits of major agricultural products, assessing their comprehensive advantage indices. The research methods include data collection, data processing, and model construction, utilizing a bi-factor matrix analysis to explore the balance between environmental sustainability and economic profitability of different agricultural products. The results indicate that pepper and vegetables have the highest comprehensive advantages, demonstrating significant economic and environmental benefits, while soybeans show lower comprehensive advantages, requiring improvements in cultivation techniques and management practices. Based on the research findings, this paper proposes policy and management recommendations for different agricultural products, including focusing on the development of high-comprehensive-advantage products, improving cultivation techniques for low-comprehensive-advantage products, promoting green agricultural technologies, establishing a carbon footprint monitoring system for agricultural products, and strengthening agricultural infrastructure construction. The study’s conclusions provide theoretical support and practical guidance for the agricultural development strategies of Hancheng City and similar regions, contributing to the achievement of sustainable agricultural development and carbon reduction goals.

Analysis of the Role of Agribusiness in the Indonesian Economy

Agribusiness is an important support in national economic development. This research aims to determine the complete agribusiness system that is interrelated with economic activities. This research methodology is a literature review which is based on Indonesian government regulations. The results of this research show that agribusiness has a strategic role in the formation of GDP, employment, international trade, regional economic development, national food security, environmental preservation, and equal distribution of development results. In the development and implementation of agribusiness that is already underway, there are still many obstacles. To solve very complex economic problems, especially in the agricultural sector, Indonesia requires sharpening (focusing) economic development strategies which are expected to be able to provide solutions to existing problems. So synergy is needed in the agribusiness sector, namely between agriculture, plantations, animal husbandry, fisheries, and forestry with the development of upstream and downstream agricultural industries as well as the development of related service sectors therein.

Study on the Structure, Efficiency, and Driving Factors of an Eco-Agricultural Park Based on Emergy: A Case Study of Jinchuan Eco-Agricultural Park

The eco-agricultural park is a new comprehensive agricultural technology system integrating agricultural production, rural economic development, ecological environment protection, and efficient resource utilization. Therefore, an in-depth analysis of the ecosystem structure of eco-agricultural parks will help achieve the goal of coordinated symbiosis between human development and environmental protection. This study takes the research area of the Eco-agricultural Park of Jinchuan Town, Huinan County, a typical town in the Changbai Mountains of Northeast China. Based on field surveys, market research, farmer consultation, and related data collection, emergy theory and methods are used to construct an emergy model for the park. The value evaluation index system integrates the unique emergy index of the agricultural ecosystem with the traditional emergy index system to conduct a targeted evaluation of the park’s functional structure and sustainable development capabilities in order to improve the efficiency of material and energy use and provide technical reference for ecological construction and comprehensive development of agricultural industry in mountainous areas in northern China. The research results show that: (1) The annual input total emergy of the eco-agricultural park is 4.04E+24 sej/a, and the emergy of labor input, electricity input, and topsoil loss is relatively high. The park is in a labor-intensive stage. The annual output total emergy is 5.09E+24 sej/a, the park is dominated by planting and forestry industries. (2) The park’s emergy utilization intensity is high—production efficiency is high, economic development is advanced, and the system’s self-control, adjustment, and feedback functions are vital—and plays a significant role in promoting the development of the regional economy. However, the park relies more on investment from external resources, and production in the park puts pressure on the environment. (3) The current sustainable development capability of the study area is weak, and the factors affecting the sustainable development capability are mainly energy loss and uneven distribution of industrial areas in the park. Effective measures to promote the transformation of the park to develop technology-intensive industries and improve the sustainable development performance of the park were proposed. These include: adjusting the proportion of industries in the park; reducing high-energy external input emergy, such as industrial auxiliary emergy; reducing the loss of non-renewable natural resources through ecological engineering measures, such as reducing the depth of slope runoff in the park; and combining modern resource-based production technology and environmentally sound management methods to reduce energy loss and rational use of natural resources.

State regulation of agricultural sector based on the example of cultivation of industrial crops in the Zhetisu region of the Republic of Kazakhstan

The goal is to study the mechanisms of state support for agricultural sector (using the example of industrial crops in the Zhetisu region), analyze the current state of agro-industrial production in the Republic of Kazakhstan, consider problems and ways of their solution. Methods – theoretical basis of the work consists of the works of foreign and domestic scientists; the analysis method assesses the development of agro-industrial complex of the Zhetisu region, regulation of the price level for industrial crops and food. Using the statistical method, conclusions on the current situation and prospects for their production. The modeling method made it possible to form effective model for managing agricultural sector. Results – problems associated with raw materials orientation of agricultural sector, incomplete utilization of production capacity, low level of introduction of innovative technologies and technical equipment slow down the pace of development of agricultural industry. Ways to solve these problems have been outlined: proposals aimed at improving the availability of financing for small businesses through investing in agricultural infrastructure and expanding the network of production and service cooperatives, increasing the efficiency of state support for agricultural economy of the Zhetisu region have been prepared. Conclusions – the main scientific principles obtained during the study can be used as information and analytical material for the development and implementation of effective policies for cultivation, processing and sale of industrial crops in the region. Natural and labor resources will allow the region to become self-sufficient in food supply. The main directions of modern state policy for regulating agricultural production are indicated: creating conditions for maintaining sustainable growth in demand for food products and raw materials; creation of infrastructure, system of wholesale and retail markets; support of price system that satisfies the population's demands for food.

Research on the Development of Modern Agriculture Industry in Northeast China

With the development of the national economy and the continuous improvement of people's living standards, the Northeast region regards agriculture as the cornerstone of the development of the real economy. Detailed divisions have been made for the goals of agricultural development. By integrating existing agricultural resources and utilizing agricultural products and services as means, the region actively upgrades advanced rural production machinery and agricultural cooperative operation models. After a thorough investigation of the basic principles of modern agricultural industry, this study will explore the theoretical foundation issues, strategic choices, and specific countermeasures faced by the modern agriculture industry and enterprises in Heilongjiang, with the aim of providing insights for the development of modern agriculture industry in the Northeast region.

Research on the Problems and Countermeasures of the Integrated Development of Fuping Persimmon Industry

The integration of the three industries in persimmon industry, namely the organic combination of persimmon cultivation, deep processing of agricultural products, and rural tourism, is an important measure to promote the upgrading and development of agricultural industry. This integration model has great potential and advantages in improving the added value of agricultural products, increasing farmers' income, promoting local economic development, and rural revitalization. However, achieving organic integration of industries is not an easy task and requires overcoming various problems and challenges. This study aims at explore the issues and countermeasures of the three-industry integration in Fuping persimmon industry. By analyzing the current situation of the three-industry integration in the persimmon industry chain, studying the improvement and innovation of deep processing technology and facilities for agricultural products, and combining with the changes in market demand, this study proposes solutions to the existing problems.

Performance Evaluation of Cotton (Gossypium hirsutum L.) Varieties for Yield and Related Traits in North-Western Ethiopia

Cotton is one of the most important cash crops in Ethiopia and plays a significant role in the agricultural and textile industrial development of the country’s economy. However, the progress in cotton production and productivity in rain-fed environments has been impeded by the absence of improved varieties and inadequate management practices. Presently, there are no recommended cotton varieties specifically tailored for rain-fed environments in northwestern Ethiopia, an area that is largely conducive to cotton cultivation. Interestingly, some investors have chosen to cultivate genotypes that have been recommended for irrigation purposes, particularly within the central Rift Valley of Ethiopia. In the current investigation, an assessment was conducted on various cotton varieties in order to determine their quantitative traits during the primary cultivation period of 2017/2018 at Pawe Agricultural Research Centre. The objective of the experiment was to assess seven cotton genotypes using a randomized complete block design, with the aim of identifying genotypes that are highly adaptable and possess high-yielding characteristics. The statistical analysis of variance demonstrated a significant distinction among the traits that were examined. Within this study, the most productive genotypes were identified as Werer-05 and Candia, with yields of 1722.19 kg/ha and 1617.41 kg/ha, respectively. The observed variations in the characteristics of the various cotton varieties indicate the presence of diversity, which holds significant implications for future cotton breeding.

The rise of smart agriculture in China: current situation and suggestions for further development

Summary Smart agriculture is based on latest technologies in communication, big data analysis, high-performance sensors, and automatic machinery to improve the effectiveness of agriculture industry. China is looking forward to achieve modernization of its agriculture industry through smart agriculture. But its unique climate, landscape, diversity in crops, and large population make this task more challenging compared to other counties. Herein, we present the current achievements regarding policies made to guide and support the development of smart agriculture, the promotion of smart techniques and smart equipment, and the cultivation of specialists in smart agriculture. Then we discussed the existing challenges that hinder further development of smart agriculture industry and proposed several feasible solutions to solve or ease the problem, including the pertinent development of smart agriculture in provinces with different resources, enrich modes of online technical support and specialist cultivation, and set a series of standards to guide research and development of novel smart systems.

ЕКОНОМІЧНІ ЗВ’ЯЗКИ УКРАЇНИ ТА СКАНДИНАВСЬКИХ КРАЇН – НЕ РЕАЛІЗОВАНИЙ ПОТЕНЦІАЛ СТРАТЕГІЧНОЇ СПІВПРАЦІ ТА ПЛАН ВІДНОВЛЕННЯ УКРАЇНИ

The article examines the state of development of economic ties between Ukraine and Scandinavian countries in such areas as: trade, investment activity, security, humanitarian and financial support of Ukraine, cooperation in other areas. Ukraine imports a fairly wide range of goods from the Scandinavian countries (from land transport, pharmaceutical products, electronics to food and paper), investment activity is quite moderate, the most important thing for Ukraine is the support from the Scandinavian countries in terms of financial support for humanitarian and military projects. projects in the field of energy. The second chapter offers possible directions for deepening cooperation between Ukraine and the Scandinavian countries for reconstruction in the post-war period. In our opinion, the formation of a new economic landscape in Ukraine, in the logic of state leadership (according to the Scandinavian principle), requires the development of a long-term Program for the development of the real sector of the economy (drawn up with the involvement of specialists from the countries of the Northern European Union), which should become a key guiding document for the development of the production activities of state and private enterprises in the post-war period. The following are the components that could become a support for the development of the economy of Ukraine, subject to the involvement of experience, technologies, finances and equipment received from the countries of the Northern European Union: development of the energy sector; development of elements of the closed cycle economy; development of agriculture, forestry and marine industry; infrastructure development; development of human capital. Taking into account the significant level of lag behind Ukraine from developed countries, in practically all spheres of the economy, the countries of the Northern European Union have the potential to provide a powerful scientific and resource base to provide not only consulting support on the formation of a socially-oriented advanced economic model, but also on issues related to economic development, subject to the preservation of the environment and the need to adapt to climate change.