Adoption Of Production Technologies Research Articles

Analysis of Environmental Management Policies, Livestock Husbandry Practices, and Production Technology on Cattle Farm Productivity in West Java

This research explores the effects of environmental management policies, livestock husbandry practices, and the adoption of production technologies on the productivity of cattle farms in West Java, Indonesia. Using a combination of quantitative and qualitative methodologies, data were collected from 100 cattle farms across three productivity levels. Statistical analysis, including multiple regression, was employed to assess the influence of these factors on farm productivity. The results indicate that the adoption of production technologies had the most significant positive impact on productivity, followed by adherence to environmental management policies and the implementation of advanced husbandry practices. Qualitative findings support the quantitative results, highlighting the role of governmental support and training in facilitating the adoption of effective farming practices. This study underscores the necessity of integrated approaches that enhance both sustainability and efficiency, recommending policies that support technological innovation and environmental compliance. The findings serve as a valuable reference for policymakers and farm managers aiming to optimize productivity and sustainability in livestock farming.

Adoption of production technologies by minor millets growers in central dry zone of Karnataka

Adoption of production technologies by minor millets growers in central dry zone of Karnataka

Analysis of Constraints Faced by Sugarcane Growers in Haryana, India

Sugarcane is one of the most important cash crop globally. In Haryana, particularly in the districts of Yamuna Nagar, Kaithal, and Rohtak, sugarcane production is significant. However, the adoption of production technology among sugarcane growers in these areas faces various constraints, impacting productivity and profitability. This study aims to identify the constraints faced by sugarcane growers in adopting production technology in Haryana. In order to gather information about the difficulties sugarcane growers had in implementing the production technique, structured interviews were conducted in 2023. The findings indicate that a majority of sugarcane growers (56.70%) experienced medium constraints, while 22.50% and 20.80% faced high and low constraints, respectively. Key constraints identified include high labor charges during harvesting, elevated transportation costs, labor shortages during peak periods, variability in agro-climatic conditions, and high prices of plant protection chemicals. The findings underscore the need for targeted interventions, such as awareness campaigns, improved supply chains, affordability of inputs, and pest management strategies, to enhance sugarcane production in Haryana.

Farmland transfer contract performance and green production technology adoption among farmers: evidence from a survey of four provinces in China.

The popularization and use of green production technology is the key to promoting the sustainable development of agriculture. Exploring the path of promoting farmers' adoption of green production technology has important theoretical and practical significance for promoting the green transformation of agriculture and realizing the high-quality development of agriculture. This study examined the impact of contract performance on the adoption of green production technology in the farmland transfer market based on the characteristics of green production technology. An empirical test was conducted using survey data from Heilongjiang, Henan, Zhejiang, and Sichuan Provinces, which differ in agricultural resource endowment and economic development. The results demonstrated that farmland area was positively associated with the number of green production technologies adopted by farmers and use of straw returning, subsoiling, and soil testing for formula fertilization technology. Moreover, improving the performance rates of farmland transfer contracts strengthened the promotional effect of operation scale on green production technology adoption. Using either contract execution or dispute resolution rates to measure contract performance promoted the adoption of green production technology, particularly for large-scale farmers. Therefore, in the publicity and promotion of agricultural green production technology, the government should not only formulate differentiated promotion strategies and support policies based on resource endowment, but also focus on the construction of rural legal systems, which are helpful for building and maintaining a good farmland market order and performance environment, and create conditions for the durability and stability of technology adoption.

Impact and Mechanism of Digital Information Selection on Farmers’ Ecological Production Technology Adoption: A Study on Wheat Farmers in China

The application of ecological techniques by farmers is important for ensuring the environmentally sustainable advancement of the grain sector. Based on micro-level survey data from 921 Chinese wheat growers in the Hebei and Henan provinces, this study employed an endogenous switching probit model and counterfactual analysis to investigate the impact and mechanisms of digital information utilization on ecological production technology adoption. The results indicated that 43.87% of sample wheat farmers had a low level of adoption of ecological techniques. The utilization of digital information significantly promoted farmers’ adoption. If farmers who currently used digital information were to opt-out, the probability of their high adoption would decrease by 11.26%. The utilization of digital information significantly enhanced the adoption of ecological technologies through three mediating factors: technological cognition, production monitoring, and market channels. Therefore, it is imperative to encourage farmers to broaden their social networks and enhance their perception of the importance of digital information. Additionally, it is essential to promote the industrialization and scale operation of wheat production, direct policy subsidies towards new types of management entities, and ensure the accuracy of the supply of digital information for green production through multiple channels. Therefore, it is imperative to expand farmers’ social networks and leverage rural communities to increase their perceived importance of digital information. Governments should increase subsidies and promote the scale and industrialization of wheat production. Moreover, the accuracy of digital information supply for sustainable production should be promoted through digital learning platforms, production monitoring systems, and e-commerce networks.

Towards a Circular Economy: Cleaner Production Technology Adoption Among Small and Medium Enterprises in an Emerging Economy

Towards a Circular Economy: Cleaner Production Technology Adoption Among Small and Medium Enterprises in an Emerging Economy

A comparative analysis of arecanut based cropping system in Uttara Kannada district

The study was conducted in Uttara Kannada district which comes under the jurisdiction of UAS, Dharwad during the year 2021-2022. To make comparative analysis of arecanut based cropping system by employing “Ex-post facto” research design and by using simple random sampling technique in Uttara Kannada district constituting a total sample size of 120 farmers. It was revealed that, 77.50 per cent of sole crop and 65.00 per cent of multiple cropping growers adopted Sirsi local variety, 77.50 per cent of sole crop growers done planting during May-August and 65.00 per cent of multiple cropping growers done planting during August-September, 95.00 per cent of multiple cropping growers adopted 2.7×2.7m spacing, 47.50 per cent of multiple cropping growers adopted square system of layout, 47.50 per cent of sole crop growers adopted covering of stem, 52.50 per cent of sole crop growers adopted method of fertilizer application, 67.50 per cent of sole crop growers adopted depth of drainage, 75.00 per cent of sole crop growers adopted mulching, both sole and multiple cropping growers adopted manual method of harvesting and 92.50 per cent of sole crop growers go for rashi type of processing to get maximum profit. There is enough scope to encourage adoption of arecanut based cropping system by using mass contact methods and concerned transfer of technology centers. Thus, the efforts should be made to conduct training programmes and demonstrations.So, it is another vital thing that needs to be given priority to adoption of production technology.

Could Digital Literacy Contribute to the Improvement of Green Production Efficiency in Agriculture?

The digital development in rural areas has become an important driving force for promoting green production in agriculture. But the lack of digital skills among farmers remains a problem. The main reason why farmers cannot master digital skills well is their lack of digital literacy, which leads to market information asymmetry and the inability to truly distinguish the difference between green production and traditional production. Based on this, this article uses field research methods to collect data from 1,116 farmers in China, calculates agricultural green production efficiency using the SBM model, and empirically tests the relationship between farmers’ digital literacy and green production efficiency in agriculture. The results showed that digital literacy has a significant promoting effect on agricultural green production efficiency. Secondly, it was found that digital literacy can effectively enhance farmers’ cognition of green agricultural products and green production technology adoption. Among them, the effect of cognition of green agricultural products is reflected in farmers’ self-cognition and market cognition. The green production technology adoption is reflected in the breadth and depth of technology adoption. Third, we discuss the effect of different dimensions of digital literacy on agricultural green production efficiency. The effect of the digital literacy on the production efficiency of the five typical green technologies used by farmers is further discussed. Although there are certain differences, overall, they all have a significant promoting effect. It is necessary to comprehensively improve farmers’ digital literacy, bridge the digital divide and promote the green transformation of agricultural production.

Risk-adjusted efficiency and innovation: an examination of systematic difference and convergence among BRIC banks

We argue that technological progress and technology diffusion is improving innovation the banking industry, leading to a potential steady-state equilibrium in operational efficiency and innovation across banks with similar characteristics. Using the latest meta-frontier method, this study examined BRIC banks during the period from 2000 to 2020. We found that Indian and Brazilian banks are more innovative in reducing costs, whereas Indian and Chinese banks are more cost efficient. Chinese, Russian, Indian, and Brazilian banks rank first to fourth in profit efficiency and profit-making innovation, respectively. Risk-taking boosts group cost and profit efficiencies and profit-making innovation but reduces cost-reducing innovation in each country. BRIC banks diverged in innovation during the analysis period but slowly converged after the 2008 crisis. Reform policies, adoption of production technology, formulating regulations and investing in human capital and technologies are crucial for less efficient and innovative banks to catch-up with frontier banks.

The Role of Rural Credit in Agricultural Technology Adoption: The Case of Boro Rice Farming in Bangladesh

Rice agriculture provides millions of households with a steady source of income and employment. However, for small and marginal farmers, the exorbitant cost of production inputs presents a formidable obstacle in their pursuit of acquiring it. Credit constraints are a significant impediment to the adoption of agricultural technologies. Therefore, this paper identifies the determinant of access to rural credit and its impact on Boro rice production technology adoption in Bangladesh using cross-sectional data. The study employed probit regression, propensity score matching (PSM), inverse probability weighting (IPW), and inverse probability weighted regression adjustment (IPWRA) techniques. The findings indicate that age, family size, working members, and involvement in safety net programs negatively and significantly influence access to rural credit, while earning persons in the family, literacy, rice farming experience, remittance, and total income positively influence access to rural credit. The positive and significant ATT values suggested that access to rural credit has a positive and significant effect on technology adoption and the level of technology use. It was also found that access to rural credit has a heterogeneous effect. In particular, non-government organization (NGO) credit has a more significant impact on technology adoption than formal bank credit. Access to credit and the adoption of agricultural technologies can be greatly improved with the help of a location-specific rural credit policy and strong monitoring from the formal banking sector.

Perceived Value, Government Regulations, and Farmers' Agricultural Green Production Technology Adoption: Evidence from China's Yellow River Basin.

Farmers' agricultural green production technology (AGPT) adoption behavior has attracted extensive attention, while few studies explored the interactive effect of perceived value and government regulations in this process. Therefore, we analyze the interaction effect between perceived value and different government regulations on farmers' AGPT adoption by the Poisson regression model, using micro-survey data from 1491 households in China's Yellow River basin. Furthermore, we examine the heterogeneous effect of perceived value and government regulations on farmers' AGPT adoption behavior considering the change in production scale and farmers' age. The results suggest that perceived value can substitute for incentive government regulation and guiding government regulation, respectively. While binding government regulation can inhibit the promotion effect of perceived value on farmers' AGPT adoption. In addition, the larger the production scale, the more influential the effects of perceived value and government regulations on farmers' AGPT adoption are. In contrast, with the increase in farmer's age, the promotion effect of perceived value becomes weak while the effect of government regulations experiences a U-shaped trend. Finally, the conclusions and policy implications are set forth.

Production technology adoption and electronic market participation intensity of chilli (dry) farmers in India: Application of triple-hurdle model

Agricultural and food system transformation helps increase farm productivity and encourages farmers to participate in updated value chains, adopt newer technologies, thereby helping farmers transform their livelihoods in a sustainable manner. Relatedly, value chain innovations depend on multiple decisions farmers make at various stages of the value chain, adequate participation being a primary factor. In this paper, we integrate farmers’ adoption decision of a new variety of chilli crop (“Teja”) along with their electronic market participation decision and e-market participation intensity, based on data from the chilli farming sector in India, where agricultural markets have been modernized through digitization (Kalgudi e-Market). Thus, the employed Triple-Hurdle Model (THM) integrates adoption decision of “Teja” variety of chilli, e-Market Participation Decision and e-market participation intensity thereby, allowing us to make inferences relating to chilli farmers in Andhra Pradesh, India. Our results, showed that the drivers of “Teja” variety adoption, e-market participation, and e-participation intensity include education, reliable extension services, access to seeds of high yielding varieties, market information, and membership in farmer-producer organizations. Added to these, personnel training visits, prompt deliveries of inputs, and prompt payment of sales proceeds are also important in influencing participation and intensities. Results show that the three stochastic decisions of THM are strongly correlated implying that the adoption decision of “Teja” variety of chilli by the farmers influences the e-market participation decision and consequently, e-market participation intensity and these three decisions are sequential. On the contrary, the decisions viz., e-market participation decision and e-market participation intensity as input buyers and consequent adoption of “Teja” variety of chilli are simultaneous. So, the policy measures that promote production technology interventions (say, “Teja” variety of chilli) will definitely enhance better e-market access of chilli farmers. Accordingly, the breeding programs of the agricultural research stations should enhance the uptake of improved varieties in tune with modern marketing (e-market) technologies. Future farm policy and agricultural-research and innovations must recognize the potential that the digital marketing systems have to offer. Such considerations coupled with the provision of market infrastructure including assaying, grading, storage, and market information will promote digital transformation in agricultural value chains in developing countries like India.

Socio-economic Determinants of Adoption of Maize Production Technologies among Smallholders

Agricultural technology adoption is germane for improved farm efficiency and productivity. Thus, the socioeconomic determinants of adoption of maize production technologies among smallholders were analyzed. Primary data collected via multi-stage sampling from 101 respondents was empirically evaluated using descriptive statistics and Logit regression. The respondent’s socioeconomic factors affected maize production technology adoption. Several maize production technologies were available in the study area; however adoption of these technologies among respondents was relatively low. The coefficient of multiple determination (R2) was 0.74827. The regression coefficients of household size (0.541), education (0.331), farm experience (0.615), farm size (0.448) and extension contact (0.457) were statistically significant at p0.05 probability level. Furthermore, the constraints identified by respondents also affected the adoption of maize production technologies in the study area. This study recommends subsidizing technology cost, improved cooperative activities; access to technology, credit and extension services, farm labour supply and tenure policy modifications.

Farmers’ Endowments, Technology Perception and Green Production Technology Adoption Behavior

The motivation of this paper is to explore the influence of farmers’ endowments and technology perceptions on farmers’ green production technology adoption behaviors. Based on a survey of 471 grain farmers in the main grain-producing areas of Shandong Province, the Heckman model was used to empirically analyze the influence of farmers’ endowments on their adoption behavior of green production technologies, and the moderating effect of technology perception on the relationship between the two was further investigated. The study showed that: (1) More than half of the farmers adopted more than three green production technologies, and only 11.5% did not adopt them. In terms of adoption structure, the adoption rate of green pest control technology was the highest at 67.7%, while the adoption rate of moderate deep pine technology was the lowest at 32.7%. The adoption structure should be further optimized. (2) After controlling for sample selection bias, farmers’ endowments have a significant positive effect on farmers’ green production technology adoption behaviors. The ordinary least square regression overestimates the main effect of farmers’ endowments by 8.5% compared with the Heckman model. (3) Technology cognition can effectively promote the positive effect of farmers’ endowments on green production technology adoption, in which the moderating effect of technology–economic cognition is higher than that of technology–environmental cognition. (4) There is heterogeneity in the effects of farmers’ endowments and technology cognition on different adoption subjects and technology types. The above findings provide an in-depth explanation for activating the endogenous drivers of green agriculture development.

Adoption level of farmers about redgram production technologies of UAS, Dharwad

The present study was conducted in Vijayapura and Bagalkot districts of Karnataka state during 2021-22.To study the Adoption level of farmers about redgram production technologies of UAS Dharwad by employing “Ex-post facto” research design and by using simple random sampling technique in Vijayapura and Bagalkot districts constituting a total sample size of 160 farmers. It was revealed that, 40.62 per cent of the redgram growers belonged to medium adoption level category, whereas, 36.25 and 23.13 per cent were observed in low- and high-level adoption categories, respectively.Redgram growers adopted recommended time of sowing (91.87 %), seed rate (73.75 %), variety (61.87 %), seed rate for mixed or inter crop (17.50 %), seed treatment with rhizobium (11.25 %), seed treatment with Phosphate Solubilizing Bacteria (6.87 %), spacing (73.75 %), FYM (71.25 %), chemical fertilizer (65.62 %), application of sulphur (15.62 %), application of zinc sulphate (23.13 %), foliar application of 19:19:19 (22.50 %), spraying of (2.0 %) DAP (15.62 %), first hoeing (93.12 %), second hoeing (55.63 %), Inter-cropping (14.37 %), post emergent herbicides (11.87 %), nipping (3.75 %), recommended method of controlling pod borer (81.25 %), control of spotted pod borer (47.50 %), control of pod fly (57.50%), controlling wilt (65.00%), controlling SMD (28.75 %), controlling phytophthora blight (26.25 %), mechanical harvesting (88.75 %) and manual harvesting (11.25 %). There is enough scope to encourage improved redgram production technologies by using mass contact methods and concerned transfer of technology centers. Thus, the efforts should be made to conduct training programmes and demonstrations.So, it is another vital thing that needs to be given priority to adoption of production technology.

Taking stock of gender gaps in crop production technology adoption and technical efficiency in Ghana

ABSTRACT There is a strong linkage between agricultural performance and economic growth in developing countries. However, the gain from agriculture disproportionately trickles down to the poor which can be partly reduced by addressing gender differences in production. Historically, the validity of gender statistics has been questioned as the way researchers and policymakers describe gender differences also affects how they perceive and address them. Amid these antecedents, we apply a meta-stochastic frontier to pooled cross-sectional population-based surveys that represent three decades (1987–2017) of the production history for twelve crops in Ghana to assess the dynamics of gender gaps in technology gaps and technical efficiency (TE). Results indicate that female farmers exhibit technology gap and TE scores of 25 and 76% while their male counterparts exhibit scores of 20 and 73%. The TE gap of 4% against male farmers has remained relatively steady over the three decades while the technology adoption gap against females has reduced from 18% in 1997/98 to 3% in 2016/17. All farmers operate at 60% of the potential possible given the overall crop production technology in Ghana. Over the three decades, the estimated crop production gap of 5.94% against females shifted to a gap estimated at 9.24% against males.

Impact of environmental regulation perception on farmers' agricultural green production technology adoption: A new perspective of social capital

At present, how to promote agricultural green production technology (AGPT) to achieve agricultural green production is one of the hot issues discussed by various countries and academia. From the perspective of farmers' environmental regulation perception and social capital, there is still a lack of research on the farmers' AGPT adoption behavior. Therefore, based on the survey data of kiwifruit growers in Mei and Zhouzhi counties of Shaanxi Province, China, this study applies Poisson model to empirically analyze the impact of farmers' environmental regulation perception and social capital and interaction on their AGPT adoption behavior and further reveals the intergenerational differences in AGPT adoption behavior between the new and old generation farmers. After dealing with endogenous problems, the conclusion is still robust. The study found that farmers' AGPT adoption rate was 71.7%, but the degree of AGPT adoption was only 1.46, and most of AGPT had not been popularized. Secondly, farmers' environmental regulation perception and social capital can significantly promote their AGPT adoption, and the promotion of incentive environmental regulation perception and disembedded social capital is more obvious. Thirdly, environmental regulation perception and social capital have interactive effect on farmers' AGPT adoption. At the same time, social capital can strengthen environmental regulation perception on farmers' AGPT adoption. Finally, the intergenerational difference analysis shows that old generation of farmers' AGPT adoption is generally affected by environmental perception regulation and social capital, while new generation of farmers is mainly affected by guiding environmental regulation perception. Based on the above conclusions, we provide policy suggestions for promoting farmers to adopt AGPT.

Strategi Pengembangan Komoditas Sagu di Kabupaten Konawe

Sago (Metroxylon sp.) is a tropical wet palm plant, which has a strong adaptation to grow on marginal lands. Sago is one of the potential food commodities as a source of carbohydrates owned by Indonesia. The objectives of this study were: identify the factors that are the strengths, weaknesses, opportunities and threats of sago commodity development; and determine the strategy for sago commodity development. This research was conducted in the Districts of Bondoala, Besulutu, Sampara and Kapoiala, Konawe Regency. The respondents of this study were the relevant government agencies staf in Konawe Regency and in Southeast Sulawesi Province, researchers from the Southeast Sulawesi AIAT and Development Agency and lecturers at the UHO Faculty of Agriculture, and collectors and inter-island traders. The analytical method used is SWOT-AHP (Analytical Hierarchy Process) analysis. The results of the study revealed that the strategy for developing sago commodities, which had the highest priority value or the most important ones, were the development of human resources for sago farmers and small and medium industries (IKM); strengthening coordination and synchronization of policies between institutions in the development of sago; policy on the expansion and protection of sago land; optimization of market share; diversification of sago products; increasing the competitiveness of processed sago products through the adoption of production technology; modernization of equipment and processing of sago to strengthen added value; and forming partnerships both market and capital.Keywords: development strategy; SWOT-AHP; sago

Adoption level of integrated crop management practices among rice farmers: Does the adoption of production technology predict postharvest technology adoption

SAMARICA is the second district of Occidental Mindoro province in the Philippines having a vast land area for rice production. It supports the rice milling sector of the province with promising facilities for postharvest of rice. This study investigates the rice farmers’ adoption level of integrated crop management practices (ICMPs). The adoption ICMPs aims to promotes farm productivity and efficiency. A total of 404 rice farmers participated in this study selected through a multi-stage sampling technique. Quantitative data were generated from the survey questionnaire and were analyzed using Descriptive Statistics. Partial Least Square Structural Equation Modeling (PLS-SEM) was used to analyze the relationship between production and postharvest practices. The results revealed that rice farmers have “very high” adoption of rice production technologies except for water technologies and intermittent irrigation with “high” adoption level. In terms of postharvest, there is “very high” adoption of mechanized harvesting and recommended moisture content for rice but “moderate” adoption for rice parboiler, dying machines, and threshing of rice right after harvest. On the other hand, a statistically significant evidence was found for production technologies as predictor of postharvest technologies, specific for the care and management of rice (β =0.55; P<0.01).

Improved barley production technology adoption by the farmers of Jaipur

Improved barley production technology adoption by the farmers of Jaipur