According to data in Nanjing Statistical Yearbook, contribution made by agricultural production factors was analyzed with contribution models of agricultural factors and the results showed that with restriction of lab...According to data in Nanjing Statistical Yearbook, contribution made by agricultural production factors was analyzed with contribution models of agricultural factors and the results showed that with restriction of labor force and land, Nanjing suburban counties have entered into a stage of "high input-high output", considering no matter from agricultural total value of output or from agricultural added value. In future, structure configuration of agricultural input factors should be optimized in Nanjing suburban counties by technology input to improve agricultural technology and technical efficiency in order to further achieve sustainable development of agriculture.展开更多
[Objective] The aim was to explore interrelationship between agricultural input and output in Jiangsu and the influence degrees of input factors on agricultur-al output. [Method] Quantitative analysis and evaluation w...[Objective] The aim was to explore interrelationship between agricultural input and output in Jiangsu and the influence degrees of input factors on agricultur-al output. [Method] Quantitative analysis and evaluation were made on agricultural input and output in Jiangsu during 1990-2012 as per factor analysis and regression analysis. [Result] The result of factor analysis showed that since the 1990s, the comprehensive efficiency of agricultural input/output in Jiangsu was growing and in-put/output of agriculture, forestry, animal husbandry and fishery, crop farming, and of food production were extracted, whose scores reflect the changes of input/output ef-ficiencies in terms of agriculture, forestry, animal husbandry, fishery, crop farming and food production in the two decades. The results of regression analysis indicated that the effects of the three indices on agricultural output tended to be volatile and the influence degrees were concluded also by regression parameters. [Conclusion] The research provides theoretical references for agricultural input/output structure in Jiangsu Province.展开更多
Agriculture is the basic industry of China and the support of all other industries. In order to clarify the impact of urbanization on China's agriculture, a cointegration test was conducted between the urbanization r...Agriculture is the basic industry of China and the support of all other industries. In order to clarify the impact of urbanization on China's agriculture, a cointegration test was conducted between the urbanization rate and the total agricultural output value in China during the past 30 years of 1986-2015. The results showed that the development of urbanization and agricultural economy had no severe effect on weakening the agricultural economy in China, while on the contrary, there was a long-term equilibrium relationship between the two, which was only limited to a certain range, and in the future high development of urbanization of China, the development of agricultural economy would face great challenges. Therefore, China should specify cultivated land use, strengthen the supervision standard of land circulation; increase investment in science and technology, improve the efficiency of agricultural output; optimize financial support for agriculture, enhance the enthusiasm of farmers; cultivate new agricultural operators, promote the process of agricultural industrialization, so as to form economies of scale and explore a new road of urbanization which is not at the expense of the cost of agricultural economy.展开更多
In this study,the authors tried to identify the relationship between bank credit and agricultural output in Bangladesh.Simultaneously impact assessment of bank credit on agricultural output is also investigated.Differ...In this study,the authors tried to identify the relationship between bank credit and agricultural output in Bangladesh.Simultaneously impact assessment of bank credit on agricultural output is also investigated.Different econometric techniques are used to determine the nature of the relationship between bank credit and agricultural output and the impact of bank credit.A total of 40 years(1981-2020)of annual time series data were collected from the Annual Reports of the Bangladesh Bank and World Bank’s world development indicators.Stationarity and cointegration tests were performed initially and then analyzed with Vector Error Correction Model,confirming a long-run relationship between bank credit and agricultural output.Additionally,univariate and multivariate OLS models are performed to identify the magnitude of bank credit’s impact on agricultural output.Both models revealed that bank credit positively and significantly affects agricultural production in Bangladesh.Based on these findings,the authors recommend additional fund allocation to the agricultural production system by the banks in Bangladesh.展开更多
This paper made an empirical analysis of China's agricultural growth path and influential factors using the province-level panel data of agricultural inputs and outputs during 1985-2010.The findings indicate that the...This paper made an empirical analysis of China's agricultural growth path and influential factors using the province-level panel data of agricultural inputs and outputs during 1985-2010.The findings indicate that the increase in agricultural inputs and TFP contributed 40.6 and 55.2% to the agricultural output growth,respectively;China's agriculture had jumped out of the pattern which output growth was mainly driven by increasing input.Of the total inputs,chemical fertilizer had the most important contribution to the output growth,followed by mechanical inputs.The contribution of land and labor was negative.China's agricultural output growth belonged to the type of induced technology innovation.China's agricultural TFP growth had characteristics of fluctuations over time and unbalanced between regions,but the gap between the eastern,the middle,and the western regions has been narrowed.展开更多
Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenge...Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya’s agriculture and environment.This study used the Environmental Kuznets Curve(EKC)hypothesis and the autoregressive distribution lag model(ADLM)to analyze the relationships of CO_(2) emission with agricultural output,government direct investment,trade openness,and inflation rate in Kenya from 1983 to 2019.The study found that there exists a positive(direct)relationship between CO_(2) emission and foreign direct investment in the long run in Kenya.Additionally,CO_(2) emission and trade openness have a negative(indirect)and statistically significant relationship after the error correction term adjustment in the long run.Moreover,the relationship between CO_(2) emission and agricultural output is positive(direct)and statistically significant in the long run.There is a positive(direct)and statistically insignificant relationship between CO_(2) emission and inflation rate in the short run.Notably,the EKC hypothesis indicated that the Kenya’s economy is still on the environmental degradation trade-off through the gradual increase of both CO_(2) emission and agricultural output.Our results are important to Kenya’s economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation.展开更多
文摘According to data in Nanjing Statistical Yearbook, contribution made by agricultural production factors was analyzed with contribution models of agricultural factors and the results showed that with restriction of labor force and land, Nanjing suburban counties have entered into a stage of "high input-high output", considering no matter from agricultural total value of output or from agricultural added value. In future, structure configuration of agricultural input factors should be optimized in Nanjing suburban counties by technology input to improve agricultural technology and technical efficiency in order to further achieve sustainable development of agriculture.
文摘[Objective] The aim was to explore interrelationship between agricultural input and output in Jiangsu and the influence degrees of input factors on agricultur-al output. [Method] Quantitative analysis and evaluation were made on agricultural input and output in Jiangsu during 1990-2012 as per factor analysis and regression analysis. [Result] The result of factor analysis showed that since the 1990s, the comprehensive efficiency of agricultural input/output in Jiangsu was growing and in-put/output of agriculture, forestry, animal husbandry and fishery, crop farming, and of food production were extracted, whose scores reflect the changes of input/output ef-ficiencies in terms of agriculture, forestry, animal husbandry, fishery, crop farming and food production in the two decades. The results of regression analysis indicated that the effects of the three indices on agricultural output tended to be volatile and the influence degrees were concluded also by regression parameters. [Conclusion] The research provides theoretical references for agricultural input/output structure in Jiangsu Province.
文摘Agriculture is the basic industry of China and the support of all other industries. In order to clarify the impact of urbanization on China's agriculture, a cointegration test was conducted between the urbanization rate and the total agricultural output value in China during the past 30 years of 1986-2015. The results showed that the development of urbanization and agricultural economy had no severe effect on weakening the agricultural economy in China, while on the contrary, there was a long-term equilibrium relationship between the two, which was only limited to a certain range, and in the future high development of urbanization of China, the development of agricultural economy would face great challenges. Therefore, China should specify cultivated land use, strengthen the supervision standard of land circulation; increase investment in science and technology, improve the efficiency of agricultural output; optimize financial support for agriculture, enhance the enthusiasm of farmers; cultivate new agricultural operators, promote the process of agricultural industrialization, so as to form economies of scale and explore a new road of urbanization which is not at the expense of the cost of agricultural economy.
文摘In this study,the authors tried to identify the relationship between bank credit and agricultural output in Bangladesh.Simultaneously impact assessment of bank credit on agricultural output is also investigated.Different econometric techniques are used to determine the nature of the relationship between bank credit and agricultural output and the impact of bank credit.A total of 40 years(1981-2020)of annual time series data were collected from the Annual Reports of the Bangladesh Bank and World Bank’s world development indicators.Stationarity and cointegration tests were performed initially and then analyzed with Vector Error Correction Model,confirming a long-run relationship between bank credit and agricultural output.Additionally,univariate and multivariate OLS models are performed to identify the magnitude of bank credit’s impact on agricultural output.Both models revealed that bank credit positively and significantly affects agricultural production in Bangladesh.Based on these findings,the authors recommend additional fund allocation to the agricultural production system by the banks in Bangladesh.
基金supported by the Projects of National Survey of CASS (Survey of Grain Production in China)
文摘This paper made an empirical analysis of China's agricultural growth path and influential factors using the province-level panel data of agricultural inputs and outputs during 1985-2010.The findings indicate that the increase in agricultural inputs and TFP contributed 40.6 and 55.2% to the agricultural output growth,respectively;China's agriculture had jumped out of the pattern which output growth was mainly driven by increasing input.Of the total inputs,chemical fertilizer had the most important contribution to the output growth,followed by mechanical inputs.The contribution of land and labor was negative.China's agricultural output growth belonged to the type of induced technology innovation.China's agricultural TFP growth had characteristics of fluctuations over time and unbalanced between regions,but the gap between the eastern,the middle,and the western regions has been narrowed.
文摘Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya’s agriculture and environment.This study used the Environmental Kuznets Curve(EKC)hypothesis and the autoregressive distribution lag model(ADLM)to analyze the relationships of CO_(2) emission with agricultural output,government direct investment,trade openness,and inflation rate in Kenya from 1983 to 2019.The study found that there exists a positive(direct)relationship between CO_(2) emission and foreign direct investment in the long run in Kenya.Additionally,CO_(2) emission and trade openness have a negative(indirect)and statistically significant relationship after the error correction term adjustment in the long run.Moreover,the relationship between CO_(2) emission and agricultural output is positive(direct)and statistically significant in the long run.There is a positive(direct)and statistically insignificant relationship between CO_(2) emission and inflation rate in the short run.Notably,the EKC hypothesis indicated that the Kenya’s economy is still on the environmental degradation trade-off through the gradual increase of both CO_(2) emission and agricultural output.Our results are important to Kenya’s economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation.