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1 – 10 of over 39000Xiu-e Zhang, Liu Yang, Xinyu Teng and Yijing Li
Based on the attention-based view (ABV), this study examines the mechanism of external pressure and internal managerial interpretation affecting the promotion of green…
Abstract
Purpose
Based on the attention-based view (ABV), this study examines the mechanism of external pressure and internal managerial interpretation affecting the promotion of green entrepreneurial orientation (GEO) of agricultural enterprises.
Design/methodology/approach
Based on data collected from 208 agricultural enterprises in China, the conceptual model was tested by using hierarchical regression.
Findings
The results show that managerial interpretation can affect the promotion of GEO. Command and control regulation, market-based regulation and green market pressure are important external pressures that affect the promotion of GEO. In addition, managerial interpretation mediates the relationship between command and control regulation and GEO, market-based regulation and GEO, as well as green market pressure and GEO.
Practical implications
This study proposes a key path for promoting the adoption and implementation of GEO by agricultural enterprises. The research results provide experience for emerging and developing countries to promote the GEO of agricultural enterprises, which is helpful to alleviate the environmental problems caused by the development of agricultural enterprises.
Originality/value
For the first time, this study introduced the ABV into the research of GEO. The research results enrich the theoretical perspective of GEO and expand the research field of the ABV. In addition, this study fills the research gap that existing research has not paid enough attention to the internal driving factors of GEO and opens the black box between the external pressure and GEO.
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This study aims to examine the impact of renewable energy consumption on agricultural productivity while accounting for the effect of financial inclusion and foreign direct…
Abstract
Purpose
This study aims to examine the impact of renewable energy consumption on agricultural productivity while accounting for the effect of financial inclusion and foreign direct investment in Brazil, Russia, India, China and South Africa (BRICS) countries during 2000–2020.
Design/methodology/approach
The study has used the latest data from World Bank and International Monetary Fund databases. The dependent variable in the study is agricultural productivity. Renewable energy consumption, carbon emissions, financial inclusion and foreign direct investment are independent variables. Autoregressive distributed lag (ARDL) approach was used to examine the short-run and long-run impact of renewable energy consumption, carbon emissions, foreign direct investment and financial inclusion on agricultural productivity.
Findings
The findings imply that consumption of renewable energy, carbon emissions and foreign direct investment have a positive impact on agricultural productivity while financial inclusion in terms of access does not seem to have any significant impact on agricultural productivity. Providing farmers, access to financial services can be beneficial, but its usage holds more importance in impacting rural outcomes. The problem lies in the fact that there is still a gap between access and usage of financial services.
Research limitations/implications
Policymakers should encourage the increase in the usage of renewable energy and become less reliant on non-renewable energy sources which will eventually help in tackling the problems associated with climate change as well as enhance agricultural productivity.
Originality/value
Most of the earlier studies were based on tabular analysis without any empirical base to establish the causal relationship between determinants of agricultural productivity and renewable energy consumption. These studies were also limited to a few regions. The study is one of its kind in exploring the severity of various factors that determine agricultural productivity in the context of emerging economies like BRICS while accounting for the effect of financial inclusion and foreign direct investment.
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R.L. Manogna, Nishil Kulkarni and D. Akshay Krishna
The study endeavors to explore whether the financialization of agricultural commodities, traditionally viewed as a catalyst for price volatility, has any repercussions on food…
Abstract
Purpose
The study endeavors to explore whether the financialization of agricultural commodities, traditionally viewed as a catalyst for price volatility, has any repercussions on food security in BRICS economies.
Design/methodology/approach
The empirical analysis employs the examination of three agricultural commodities, namely wheat, maize and soybean. Utilizing data from the Chicago Board of Trade on futures trading for these commodities, we focus on parameters such as annual trading volume, annual open interest contracts and the ratio of annual trading volume to annual open interest contracts. The study spans the period 2000–2021, encompassing pre- and post-financial crisis analyses and specifically explores the BRICS countries namely the Brazil, Russia, India, China and South Africa. To scrutinize the connections between financialization indicators and food security measures, the analysis employs econometric techniques such as panel data regression analysis and a moderating effects model.
Findings
The results indicate that the financialization of agricultural products contributes to the heightened food price volatility and has adverse effects on food security in emerging economies. Furthermore, the study reveals that the impact of the financialization of agricultural commodities on food security was more pronounced in emerging nations after the global financial crisis of 2008 compared to the pre-crisis period.
Research limitations/implications
This paper seeks to draw increased attention to the financialization of agricultural commodities by presenting empirical evidence of its potential impact on food security in BRICS economies. The findings serve as a valuable guide for policymakers, offering insights to help them safeguard the security and availability of the world’s food supply.
Originality/value
Very few studies have explored the effect of financialization of agricultural commodities on food security covering a sample of developing economies, with sample period from 2000 to 2021, especially at the individual agriculture commodity level. Understanding the evolving effects of financialization is further improved by comparing pre and post-financial crisis times.
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Numerical literature shows that agricultural insurance can affect pesticide investments, but few of them are devoted to explain how agricultural insurance affects farmers’…
Abstract
Purpose
Numerical literature shows that agricultural insurance can affect pesticide investments, but few of them are devoted to explain how agricultural insurance affects farmers’ selection on green or traditional pesticides. This paper aims to develop a theoretical model about how agricultural insurance influences on green pesticides selections and tests our conclusions by using the data from China land economic survey (CLES) from 2020 to 2021.
Design/methodology/approach
We employ probit model to capture the effects of agricultural insurance on green pesticides adoption.
Findings
We indicate that green pesticides have a stronger effect on stabilizing yield and increasing income than traditional pesticides, but there are still risks disturbing farmers’ decisions on green pesticides usage. By providing premium subsidies after the farmers are affected by natural risk, agricultural insurance improves the farmers’ expected income and encourages farmers to use green pesticides. Further, we further confirm these conclusions by considering different scenarios such as climate risks, farmers’ entrepreneurship and credit constraints. We find that the effects are more salient if croplands are under higher natural risks and, farmers are equipped with entrepreneurship and formal credit. This paper implies that the agricultural insurance decoupled with green technologies also have salient positive effects on agricultural pollution control.
Originality/value
The potential contributions of this paper can be outlined in three aspects in detail. Firstly, this paper aims to revel the effects of agricultural insurance on pesticide selection by structuring a general theoretical model. By using the CLES data from 2020 to 2021, we confirm that agricultural insurance increases the probability for adopting green pesticides. Secondly, this paper discusses the effects of farmers’ characteristics on the results and finds that if farmers have entrepreneurship, the effects of agricultural insurance on green pesticide usage will be more salient. Thirdly, it uncovers some practices in China, which will supply experiences for other developing countries. For example, this paper further demonstrates that “insurance + credit” plan the present Chinese government carried out will be an important measure for strengthening effects of agricultural insurance on green pesticides usage. Moreover, it shows that decouple agricultural policies will also guide farmers to use green technologies eventually if the technologies are reliable and farmers can afford.
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Xi Yu, Awudu Abdulai and Dongmei Li
This study aims to examine farmers' decision to use smartphone agricultural applications (SAAs) and how SAAs adoption impact their land transfer behaviors in terms of the current…
Abstract
Purpose
This study aims to examine farmers' decision to use smartphone agricultural applications (SAAs) and how SAAs adoption impact their land transfer behaviors in terms of the current land transfer-in area (LTA) and the future willingness to renew land transfer-in after it expires (WTR).
Design/methodology/approach
This study provides empirical evidence on the relationship between farmers' use of SAAs and land transfer choice, using a field survey data of 752 rural farm households in 2020 from Sichuan province of China. The endogenous switching models are employed to address potential self-selection bias associated with voluntary SAAs use and to quantitatively examine the impacts of SAAs use on land transfer choice.
Findings
The empirical results reveal that SAAs significantly improves the probability of transfer-in of more land by 39.10%. We find SAAs use has heterogeneous impacts on land transfer-in choice in the groups of agricultural technology, extension service, marketing and credit. Besides, we also find that SAAs use exerts highly positive and significant impact on farmers with less land area transfer-in. Moreover, SAAs can increase the probability of farmers' willingness to renew the land transfer-in by 30%.
Originality/value
To the best of our knowledge, this study is the first to explore the quantitative relationship between the use of SAAs and farm households' land transfer choice. The findings of this work can provide policy-related insights to help government promote the development of digital applications in the agricultural sector.
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Xiaoyun Liu, Xiuqing Wang and Xian Xin
China's agricultural sector has developed very rapidly in the past 30 years and agricultural technological progress is deemed one of the most substantial factors leading to its…
Abstract
Purpose
China's agricultural sector has developed very rapidly in the past 30 years and agricultural technological progress is deemed one of the most substantial factors leading to its rapid agricultural GDP growth. The purpose of this paper is to assess the impacts of China's agricultural technological changes on its regional disparity.
Design/methodology/approach
The study uses a computable general equilibrium (CGE) model of multiple regions and multiple sectors to investigate the impacts of agricultural technological changes on regional disparity. The CGE model structure includes production side, demand side, and market clearing conditions.
Findings
The results suggest that agricultural technological changes significantly reduced China's agricultural regional disparity and accounted for 40 percent reduction in agricultural regional disparity in terms of agricultural GDP per capita. Agricultural technological changes, however, led to an increase in China's overall regional disparity and accounted for 6 percent increase in its overall regional disparity in terms of per capita GDP.
Practical implications
China's GDP has been growing very rapidly since 1978 and agricultural GDP has been playing a decreasing role in China's overall GDP. Regional disparity in non‐agricultural GDP per capita overweighted the equalization of agricultural GDP per capita. The results imply that the Chinese government should resort more to non‐agricultural development to fight against the enlarging regional disparity.
Originality/value
China's agricultural technological changes have led to an increase in China's overall regional disparity while the changes have significantly reduced China's agricultural regional disparity.
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Xiangfei Xin and Fu Qin
The purpose of this paper is to investigate determinants of regional disparities in China's agricultural labor productivity growth.
Abstract
Purpose
The purpose of this paper is to investigate determinants of regional disparities in China's agricultural labor productivity growth.
Design/methodology/approach
This paper first decomposes the regional disparity in China's agricultural productivity growth into its components: technical change, efficiency change and input accumulation per worker. The convergence test is also used to analyze the determinants of regional disparity.
Findings
The paper finds that during 1987 and 2005, although the growth of China's agricultural labor productivity mainly depended on the accumulation of inputs, technical changes contributed more to regional disparities in agricultural productivity growth.
Originality/value
This paper, which studies the determinants of regional disparities in China's agricultural labor productivity growth, contributes to a better understanding of China's agricultural growth and how to reduce the regional inequality. It is indicated that improving efficiency to promote total factor productivity growth is important for agricultural labor productivity growth for the three regions – Eastern, Central and Western – of China. The increase in inputs for Western China, and the improvement in technical change for Central and Western China are significant aspects to promote the growth of agricultural productivity and narrow the gap with Eastern China.
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Weiliang Su, Chengfang Liu, Linxiu Zhang, Renfu Luo and Hongmei YI
– The purpose of this paper is to examine the impact of off-farm employment on agricultural fixed assets among households in rural China.
Abstract
Purpose
The purpose of this paper is to examine the impact of off-farm employment on agricultural fixed assets among households in rural China.
Design/methodology/approach
The authors drew on panel data from two rounds of household-level surveys of more than 2,000 households in rural China. The two surveys were conducted in 2008 and 2012 in five provinces. The authors used instrumental-variable Tobit model to test whether the current value of agricultural fixed assets differ between households with different levels off-farm employment.
Findings
The authors observe that off-farm employment has a negative effect on the current value of agricultural fixed assets at the household level in rural China.
Originality/value
The authors believe that the results will contribute positively to the assessment of the effect of off-farm employment on the investment in agricultural fixed assets at the household level in the context of China.
The paper reviews the state of agricultural literature control in Nigeria. The problems of data inconsistencies, scarcity of relevant information and dilemmas faced by policy…
Abstract
The paper reviews the state of agricultural literature control in Nigeria. The problems of data inconsistencies, scarcity of relevant information and dilemmas faced by policy makers, planners and agriculturists are described. The paper reveals that foreign‐based bibliographical services do not adequately cover literature emanating from the country. A conceptual framework for the evolution of a national agricultural information management system will involve a functional integration of all agencies and individuals involved in the production, processing, provision, and utilisation of agricultural information. Critical decisions and actions that will enhance the evolution process include a commissioned inventorization of all grey literature and agricultural information resources at both Federal and State Agriculture Ministries, a systematic documentation of resources in the research and academic institutions and, the exploitation of the awesome capabilities of information technology in harnessing a nation's rich information heritage.
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Xiaoyun Liu, Wanchun Luo, Xuefeng Mao, Xiuqing Wang and Xian Xin
The paper aims to assess the impact of agricultural output changes on the general price level over time with China as an example.
Abstract
Purpose
The paper aims to assess the impact of agricultural output changes on the general price level over time with China as an example.
Design/methodology/approach
A simple numerical global general equilibrium (GE) model of two regions (China and the rest of the world) and three commodities (agriculture, manufacturing goods, and services) is used to assess the impacts of agricultural output changes on the overall economy price changes. The numerical GE model of this paper consists of production, final consumption, and market clear conditions. The results are generated with the GE model calibrated to aggregated China's input‐output tables of 1987, 1997, and 2005.
Findings
The results suggest that China witnessed a declining influence of agricultural output changes on general price changes. The contribution of given agricultural output change on the general price change in 2005 was merely less than 60 percent of that in 1987, which in turn implies that macro policies targeting to curb general inflation via boosting agricultural output will be less effective as those of 20 years ago.
Practical implications
China's policy makers should rely less and less on promoting agricultural output policies to fight against general inflation and should resort to non‐agricultural policies.
Originality/value
The paper argues that the influence of agriculture on the China's general price indices has been weakening along with China's economic development with a numerical GE model calibrated to aggregated China's input‐output tables of 1987, 1997, and 2005.
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