matrix of domestic input coefficient

简明释义

国内投入系数矩阵

英英释义

例句

1.In our research, we used the matrix of domestic input coefficient to assess the impact of regional policies on production efficiency.

在我们的研究中，我们使用了国内投入系数矩阵来评估区域政策对生产效率的影响。

2.The government relies on the matrix of domestic input coefficient to formulate trade policies that support local businesses.

政府依赖于国内投入系数矩阵来制定支持地方企业的贸易政策。

3.We need to update the matrix of domestic input coefficient to reflect the latest changes in the supply chain.

我们需要更新国内投入系数矩阵以反映供应链中的最新变化。

4.Understanding the matrix of domestic input coefficient is crucial for developing sustainable economic models.

理解国内投入系数矩阵对开发可持续经济模型至关重要。

5.The economist presented a detailed analysis of the matrix of domestic input coefficient to illustrate how local industries interact with each other.

经济学家展示了一个详细的分析，说明了国内投入系数矩阵如何体现地方产业之间的相互作用。

作文

In recent years, the concept of a matrix of domestic input coefficient has gained significant attention in the field of economics and industrial analysis. This matrix serves as a crucial tool for understanding how different sectors of an economy interact with one another through their inputs and outputs. Essentially, the matrix of domestic input coefficient provides a comprehensive framework for analyzing the interdependencies between various industries, which is vital for policymakers and business leaders alike.To grasp the significance of this matrix, it is important to first understand what is meant by 'input coefficients.' These coefficients represent the amount of input required from each sector of the economy to produce a unit of output in another sector. For example, if the agricultural sector needs a certain quantity of machinery from the manufacturing sector to operate effectively, this relationship is captured in the input coefficients. The matrix of domestic input coefficient organizes these relationships into a structured format, allowing for easier analysis and interpretation.One of the primary uses of the matrix of domestic input coefficient is in economic modeling. Economists often use this matrix to simulate how changes in one sector can affect others. For instance, if there is a sudden increase in demand for electric vehicles, the matrix of domestic input coefficient can help predict how this will impact the automotive industry, battery production, and even raw material suppliers. By analyzing these interconnections, stakeholders can make informed decisions that promote economic growth and stability.Moreover, the matrix of domestic input coefficient is instrumental in conducting economic impact assessments. When a new policy is introduced, such as a subsidy for renewable energy, analysts can utilize this matrix to evaluate the potential ripple effects across various sectors. This assessment helps to identify which industries might benefit from the policy and which may face challenges, thus enabling a more balanced approach to economic development.In addition to its applications in economic modeling and impact assessments, the matrix of domestic input coefficient also plays a vital role in regional planning. Local governments can use this matrix to understand the economic dynamics within their jurisdictions. For example, by analyzing the input coefficients, they can identify key industries that drive local economies and develop strategies to support these sectors. This targeted approach ensures that resources are allocated efficiently and that local economies remain resilient in the face of external shocks.Furthermore, the matrix of domestic input coefficient facilitates international trade analysis. By comparing the input coefficients of different countries, economists can assess the competitive advantages of various nations. This analysis can inform trade negotiations and policies, helping countries to leverage their strengths while mitigating weaknesses. For instance, a country with a strong agricultural sector may focus on exporting food products while importing machinery, based on the insights derived from the matrix of domestic input coefficient.In conclusion, the matrix of domestic input coefficient is an invaluable tool in the realm of economics. It not only aids in understanding the intricate web of inter-industry relationships but also supports informed decision-making across various levels of governance and business. As economies continue to evolve and become more interconnected, the importance of such analytical frameworks will only grow, making the mastery of the matrix of domestic input coefficient essential for anyone involved in economic planning and analysis.

近年来，‘国内投入系数矩阵’这一概念在经济学和产业分析领域引起了广泛关注。这个矩阵作为理解一个经济体中不同部门之间通过其投入和产出相互作用的重要工具，具有重要意义。基本上，‘国内投入系数矩阵’提供了一个全面的框架，用于分析各个行业之间的相互依赖关系，这对政策制定者和商业领袖来说都是至关重要的。要理解这个矩阵的重要性，首先需要了解‘投入系数’的含义。这些系数表示一个经济体的每个部门在生产另一个部门单位产出所需的投入量。例如，如果农业部门需要一定数量的机械设备来自制造业以有效运作，这种关系就会在投入系数中得到体现。‘国内投入系数矩阵’将这些关系组织成结构化的格式，从而便于分析和解释。‘国内投入系数矩阵’的主要用途之一是在经济建模中。经济学家通常使用这个矩阵来模拟一个部门的变化如何影响其他部门。例如，如果对电动汽车的需求突然增加，‘国内投入系数矩阵’可以帮助预测这将如何影响汽车工业、电池生产甚至原材料供应商。通过分析这些相互联系，利益相关者可以做出促进经济增长和稳定的明智决策。此外，‘国内投入系数矩阵’在进行经济影响评估时也至关重要。当引入新政策时，例如可再生能源补贴，分析师可以利用这个矩阵来评估政策可能带来的连锁反应。这种评估有助于识别哪些行业可能受益于该政策，哪些可能面临挑战，从而使经济发展更加平衡。除了在经济建模和影响评估中的应用外，‘国内投入系数矩阵’在区域规划中也发挥着重要作用。地方政府可以利用这个矩阵来理解其管辖区内的经济动态。例如，通过分析投入系数，他们可以识别推动地方经济发展的关键行业，并制定支持这些行业的战略。这种有针对性的方式确保资源的有效配置，使地方经济在面对外部冲击时保持韧性。此外，‘国内投入系数矩阵’还促进了国际贸易分析。通过比较不同国家的投入系数，经济学家可以评估各国的竞争优势。这一分析可以为贸易谈判和政策提供信息，帮助各国利用自身优势，同时减轻劣势。例如，一个农业部门强大的国家可能会专注于出口食品产品，同时根据从‘国内投入系数矩阵’中获得的见解进口机械。总之，‘国内投入系数矩阵’是经济学领域中一项无价的工具。它不仅有助于理解复杂的行业间关系网，还支持各级治理和商业的明智决策。随着经济的不断发展和日益互联的特点，这种分析框架的重要性只会增加，因此掌握‘国内投入系数矩阵’对任何参与经济规划和分析的人来说都是必不可少的。